U3 IP.sav
MKTG420_U3IP.doc
Unit 3 Individual Project 1
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American Intercontinental University
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Project Type: MKTG420 Unit 3 Individual Project
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Abstract
This is a single paragraph, no indentation is required. The next page will be an abstract; “a brief, comprehensive summary of the contents of the article; it allows the readers to survey the contents of an article quickly” (Publication Manual, 2010). The length of this abstract should be 35-50 words (2-3 sentences). NOTE: the abstract must be on page 2 and the body of the paper will begin on page 3.
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Introduction
Remember to always indent the first line of a paragraph (use the tab key). The introduction should be short (2-3 sentences). The margins, font size, spacing, and font type (italics or plain) are set in APA format. While you may change the names of the headings and subheadings, do not change the font.
Part 1: Research background on the scales
Introduce the concept and be sure to indent the first line of the paragraph. Provide background on each of the 4 scales (assurance, empathy, reliability and responsiveness), not limited to a simple definition but as a measurement that aids marketers. Discuss how the questions in the survey are transformed into "scales" (also called "factors"). In other studies using SERVQUAL, how many and what types of respondents were included? Part 1 of the Individual Project should be 1 page in length. Be sure to cite your resources.
Part 1: Concept of Scales/Factors
Introduce the concept and be sure to indent the first line of the paragraph.
Part 1: SERVQUAL Samples
Introduce the concept and be sure to indent the first line of the paragraph.
Part 2: (Full-Text Research) Service Quality and Segmentation
Introduce the concept and be sure to indent the first line of the paragraph. Connect information from at least 3 articles. Do not write and overview or critique of the articles. Synthesize and connect the information contained to develop a solid understanding of how service quality and segmentation are related. Part 2 of the Individual Project should be 2 pages in length and should be predominately from at least three articles in AIU's full-text databases. Be sure to cite your resources.
Part 3: Null/Hypo 1, ANOVA, Decision
Attached is a small set of data that has been collected from brand loyal customers of Store 1 and Store 2. Write out a Null hypothesis and an alternate hypothesis for each of the 4 aspects of service quality that are include in the analysis (assurance, empathy, reliability and responsiveness) to see if there is a difference between stores. Run 4 ANOVAs to test the Null hypotheses. State the decision for each of the tests.
Part 3: Null/Hypo 2, ANOVA, Decision
Write out a Null hypothesis and an alternate hypothesis ...
3Type your name hereType your three-letter and -number cours.docxlorainedeserre
3
Type your name here
Type your three-letter and -number course code here
The date goes here
Type instructor’s name here
Your Title Goes Here
This is an electronic template for papers written in GCU style. The purpose of the template is to help you follow the basic writing expectations for beginning your coursework at GCU. Margins are set at 1 inch for top, bottom, left, and right. The first line of each paragraph is indented a half inch (0.5"). The line spacing is double throughout the paper, even on the reference page. One space after punctuation is used at the end of a sentence. The font style used in this template is Times New Roman. The font size is 12 point. When you are ready to write, and after having read these instructions completely, you can delete these directions and start typing. The formatting should stay the same. If you have any questions, please consult with your instructor.
Citations are used to reference material from another source. When paraphrasing material from another source (such as a book, journal, website), include the author’s last name and the publication year in parentheses.When directly quoting material word-for-word from another source, use quotation marks and include the page number after the author’s last name and year.
Using citations to give credit to others whose ideas or words you have used is an essential requirement to avoid issues of plagiarism. Just as you would never steal someone else’s car, you should not steal his or her words either. To avoid potential problems, always be sure to cite your sources. Cite by referring to the author’s last name, the year of publication in parentheses at the end of the sentence, such as (George & Mallery, 2016), and page numbers if you are using word-for-word materials. For example, “The developments of the World War II years firmly established the probability sample survey as a tool for describing population characteristics, beliefs, and attitudes” (Heeringa, West, & Berglund, 2017, p. 3).
The reference list should appear at the end of a paper (see the next page). It provides the information necessary for a reader to locate and retrieve any source you cite in the body of the paper. Each source you cite in the paper must appear in your reference list; likewise, each entry in the reference list must be cited in your text. A sample reference page is included below; this page includes examples (George & Mallery, 2016; Heeringa et al., 2017; Smith et al., 2018; “USA swimming,” 2018; Yu, Johnson, Deutsch, & Varga, 2018) of how to format different reference types (e.g., books, journal articles, and a website). For additional examples, see the GCU Style Guide.
References
George, D., & Mallery, P. (2016). IBM SPSS statistics 23 step by step: A simple guide and reference. New York, NY: Routledge.
Heeringa, S. G., West, B. T., & Berglund, P. A. (2017). Applied survey data analysis (2nd ed.). New York, NY: Chapman & Hall/CRC Press.
Smith, P. D., Martin, B., Chewning, B., ...
Happiness Data SetAuthor Jackson, S.L. (2017) Statistics plain ShainaBoling829
Happiness Data Set
Author: Jackson, S.L. (2017) Statistics plain and simple. (4th ed.). Boston, MA: Cengage Learning.
I attach the previous essay so you have idea on how to do this assignment. It is similar to the assignment last week.
Assignment Content
1.
Top of Form
As you get closer to the final project in Week 6, you should have a better idea of the role of statistics in research. This week, you will calculate a one-way ANOVA for the independent groups. Reading and interpreting the output correctly is highly important. Most people who read research articles never see the actual output or data; they read the results statements by the researcher, which is why your summary must be accurate.
Consider your hypothesis statements you created in Part 2.
Calculate a one-way ANOVA, including a Tukey's HSD for the data from the Happiness and Engagement Dataset.
Write a 125- to 175-word summary of your interpretation of the results of the ANOVA, and describe how using an ANOVA was more advantageous than using multiple t tests to compare your independent variable on the outcome. Copy and paste your Microsoft® Excel® output below the summary.
Format your summary according to APA format.
Submit your summary, including the Microsoft® Excel® output to the assignment.
Reference/Module:
Module 13: Comparing More Than Two Groups
Using Designs with Three or More Levels of an Independent Variable
Comparing More than Two Kinds of Treatment in One Study
Comparing Two or More Kinds of Treatment with a Control Group
Comparing a Placebo Group to the Control and Experimental Groups
Analyzing the Multiple-Group Design
One-Way Between-Subjects ANOVA: What It Is and What It Does
Review of Key Terms
Module Exercises
Critical Thinking Check AnswersModule 14: One-Way Between-Subjects Analysis of Variance (ANOVA)
Calculations for the One-Way Between-Subjects ANOVA
Interpreting the One-Way Between-Subjects ANOVA
Graphing the Means and Effect Size
Assumptions of the One-Way Between-Subjects ANOVA
Tukey's Post Hoc Test
Review of Key Terms
Module Exercises
Critical Thinking Check AnswersChapter 7 Summary and ReviewChapter 7 Statistical Software Resources
In this chapter, we discuss the common types of statistical analyses used with designs involving more than two groups. The inferential statistics discussed in this chapter differ from those presented in the previous two chapters. In Chapter 5, single samples were being compared to populations (z test and t test), and in Chapter 6, two independent or correlated samples were being compared. In this chapter, the statistics are designed to test differences between more than two equivalent groups of subjects.
Several factors influence which statistic should be used to analyze the data collected. For example, the type of data collected and the number of groups being compared must be considered. Moreover, the statistic used to analyze the data will vary depending on whether the study involves a between-subjects design (designs in ...
Review of "Survey Research Methods & Design in Psychology"James Neill
Reviews the 150 hour, third year psychology unit which examined survey research methods, with an emphasis on the second-half of the unit on MLR, ANOVA, power, and effect size.
Chi-square tests are great to show if distributions differ or i.docxMARRY7
Chi-square tests are great to show if distributions differ or if two variables interact in producing outcomes. What are some examples of variables that you might want to check using the chi-square tests? What would these results tell you?
DataSee comments at the right of the data set.IDSalaryCompaMidpointAgePerformance RatingServiceGenderRaiseDegreeGender1Grade8231.000233290915.80FAThe ongoing question that the weekly assignments will focus on is: Are males and females paid the same for equal work (under the Equal Pay Act)? 10220.956233080714.70FANote: to simplfy the analysis, we will assume that jobs within each grade comprise equal work.11231.00023411001914.80FA14241.04323329012160FAThe column labels in the table mean:15241.043233280814.90FAID – Employee sample number Salary – Salary in thousands 23231.000233665613.31FAAge – Age in yearsPerformance Rating – Appraisal rating (Employee evaluation score)26241.043232295216.21FAService – Years of service (rounded)Gender: 0 = male, 1 = female 31241.043232960413.90FAMidpoint – salary grade midpoint Raise – percent of last raise35241.043232390415.31FAGrade – job/pay gradeDegree (0= BS\BA 1 = MS)36231.000232775314.31FAGender1 (Male or Female)Compa - salary divided by midpoint37220.956232295216.21FA42241.0432332100815.70FA3341.096313075513.60FB18361.1613131801115.61FB20341.0963144701614.81FB39351.129312790615.51FB7411.0254032100815.70FC13421.0504030100214.71FC22571.187484865613.80FD24501.041483075913.81FD45551.145483695815.20FD17691.2105727553130FE48651.1405734901115.31FE28751.119674495914.41FF43771.1496742952015.51FF19241.043233285104.61MA25241.0432341704040MA40251.086232490206.30MA2270.870315280703.90MB32280.903312595405.60MB34280.903312680204.91MB16471.175404490405.70MC27401.000403580703.91MC41431.075402580504.30MC5470.9794836901605.71MD30491.0204845901804.30MD1581.017573485805.70ME4661.15757421001605.51ME12601.0525752952204.50ME33641.122573590905.51ME38560.9825745951104.50ME44601.0525745901605.21ME46651.1405739752003.91ME47621.087573795505.51ME49601.0525741952106.60ME50661.1575738801204.60ME6761.1346736701204.51MF9771.149674910010041MF21761.1346743951306.31MF29721.074675295505.40MF
Week 1Week 1.Measurement and Description - chapters 1 and 21Measurement issues. Data, even numerically coded variables, can be one of 4 levels - nominal, ordinal, interval, or ratio. It is important to identify which level a variable is, asthis impact the kind of analysis we can do with the data. For example, descriptive statistics such as means can only be done on interval or ratio level data.Please list under each label, the variables in our data set that belong in each group.NominalOrdinalIntervalRatiob.For each variable that you did not call ratio, why did you make that decision?2The first step in analyzing data sets is to find some summary descriptive statistics for key variables.For salary, compa, age, performance rating, and service; find the mean, standard deviation, and range for 3 groups: ...
Assignment 2 Tests of SignificanceThroughout this assignment yo.docxrock73
Assignment 2: Tests of Significance
Throughout this assignment you will review mock studies. You will needs to follow the directions outlined in the section using SPSS and decide whether there is significance between the variables. You will need to list the five steps of hypothesis testing (as covered in the lesson for Week 6) to see how every question should be formatted. You will complete all of the problems. Be sure to cut and past the appropriate test result boxes from SPSS under each problem and explain what you will do with your research hypotheses. All calculations should be coming from your SPSS. You will need to submit the SPSS output file to get credit for this assignment. This file will save as a .spv file and will need to be in a single file. In other words, you are not allowed to submit more than one output file for this assignment.
The five steps of hypothesis testing when using SPSS are as follows:
1. State your research hypothesis (H1) and null hypothesis (H0).
2. Identify your confidence interval (.05 or .01)
3. Conduct your analysis using SPSS.
4. Look for the valid score for comparison. This score is usually under ‘Sig 2-tail’ or ‘Sig. 2’. We will call this “p”.
5. Compare the two and apply the following rule:
a. If “p” is < or = confidence interval, than you reject the null.
Be sure to explain to the reader what this means in regards to your study. (Ex: will you recommend counseling services?)
* Be sure that your answers are clearly distinguishable. Perhaps you bold your font or use a different color.
ASSIGNMENT 2(200) WORD MINIUM
1. They allow us to see if our relationship is "statistically significant". (Remember that this only shows us that there is or is not a relationship but does NOT show us if it is big, small, or in-between.)
2. It let's us know if our findings can be generalized to the population which our sample was selected from and represents.
This week you will decide which test of significance you will use for your project. For this class your choices for tests will include one of the following:
· Chi-square
· t Test
· ANOVA
We will be using a process for hypothesis testing which outlines five steps researchers can follow to complete this process:
1. Write your research hypothesis (H1) and your null hypothesis (H0).
2. Identify and record your confidence interval. These are usually .05 (95%) or .01 (99%).
3. Complete the test using SPSS.
4. Identify the number under Sig. (2-tail). This will be represented by "p".
5. Compare the numbers in steps 2 and 4 and apply the following rule:
1. If p < or = confidence interval, than you reject the null hypothesis
Determine what to do with your null and explain this to your reader. Be sure to go beyond the phrase "reject or fail to reject the null" and explain how that impacts your research and best describes the relationship between variables.
TEST QUESTIONS-NEED FULL ANSWERS
Q1
Make up and discuss research examples corresponding to the various ...
1Create a correlation table for the variables in our data set. (Us.docxjeanettehully
1
Create a correlation table for the variables in our data set. (Use analysis ToolPak function Correlation.)
a. Interpret the results.
What variables seem to be important in seeing if we pay males and females equally for equal work?
2
Below is a regression analysis for salary being predicted/explained by the other variables in our sample
(Mid,
age, ees, sr, raise, and deg variables.) (Note: since salary and compa are different ways of
expressing an employee’s salary, we do not want to have both used in the same regression.)
Ho: The regression equation is not significant.
Ha: The regression equation is significant.
Ho: The regression coefficient for each variable is not significant
Ha: The regression coefficient for each variable is significant
Sal
The analysis used Sal as the y (dependent variable) and
SUMMARY OUTPUT
mid, age, ees, sr, g, raise, and deg as the dependent
variables (entered as a range).
Regression Statistics
Multiple R
0.99215498
R Square
0.9843715
Adjusted R Square
0.98176675
Standard Error
2.59277631
Observations
50
ANOVA
df
SS
MS
F
Significance F
Regression
7
17783.7
2540.52
377.914
8.44043E-36
Residual
42
282.345
6.72249
Total
49
18066
Coefficients
Standard Error
t Stat
P-value
Lower 95%
Upper 95%
Lower 95.0%
Upper 95.0%
Intercept
-4.009
3.775
-1.062
0.294
-11.627
3.609
-11.627
3.609
Mid
1.220
0.030
40.674
0.000
1.159
1.280
1.159
1.280
Age
0.029
0.067
0.439
0.663
-0.105
0.164
-0.105
0.164
EES
-0.096
0.047
-2.020
0.050
-0.191
0.000
-0.191
0.000
SR
-0.074
0.084
-0.876
0.386
-0.244
0.096
-0.244
0.096
G
2.552
0.847
3.012
0.004
0.842
4.261
0.842
4.261
Raise
0.834
0.643
1.299
0.201
-0.462
2.131
-0.462
2.131
Deg
1.002
0.744
1.347
0.185
-0.500
2.504
-0.500
2.504
Interpretation:
Do you reject or not reject the regression null hypothesis?
Do you reject or not reject the null hypothesis for each variable?
What is the regression equation, using only significant variables if any exist?
What does result tell us about equal pay for equal work for males and females?
3
Perform a regression analysis using compa as the dependent variable and the same independent
variables as used in question 2.
Show the result, and interpret your findings by answering the same questions.
Note: be sure to include the appropriate hypothesis statements.
4
Based on all of your results to date, is gender a factor in the pay practices of this company?
Why or why not?
Which is the best variable to use in analyzing pay practices - salary or compa?
Why?
.
3Type your name hereType your three-letter and -number cours.docxlorainedeserre
3
Type your name here
Type your three-letter and -number course code here
The date goes here
Type instructor’s name here
Your Title Goes Here
This is an electronic template for papers written in GCU style. The purpose of the template is to help you follow the basic writing expectations for beginning your coursework at GCU. Margins are set at 1 inch for top, bottom, left, and right. The first line of each paragraph is indented a half inch (0.5"). The line spacing is double throughout the paper, even on the reference page. One space after punctuation is used at the end of a sentence. The font style used in this template is Times New Roman. The font size is 12 point. When you are ready to write, and after having read these instructions completely, you can delete these directions and start typing. The formatting should stay the same. If you have any questions, please consult with your instructor.
Citations are used to reference material from another source. When paraphrasing material from another source (such as a book, journal, website), include the author’s last name and the publication year in parentheses.When directly quoting material word-for-word from another source, use quotation marks and include the page number after the author’s last name and year.
Using citations to give credit to others whose ideas or words you have used is an essential requirement to avoid issues of plagiarism. Just as you would never steal someone else’s car, you should not steal his or her words either. To avoid potential problems, always be sure to cite your sources. Cite by referring to the author’s last name, the year of publication in parentheses at the end of the sentence, such as (George & Mallery, 2016), and page numbers if you are using word-for-word materials. For example, “The developments of the World War II years firmly established the probability sample survey as a tool for describing population characteristics, beliefs, and attitudes” (Heeringa, West, & Berglund, 2017, p. 3).
The reference list should appear at the end of a paper (see the next page). It provides the information necessary for a reader to locate and retrieve any source you cite in the body of the paper. Each source you cite in the paper must appear in your reference list; likewise, each entry in the reference list must be cited in your text. A sample reference page is included below; this page includes examples (George & Mallery, 2016; Heeringa et al., 2017; Smith et al., 2018; “USA swimming,” 2018; Yu, Johnson, Deutsch, & Varga, 2018) of how to format different reference types (e.g., books, journal articles, and a website). For additional examples, see the GCU Style Guide.
References
George, D., & Mallery, P. (2016). IBM SPSS statistics 23 step by step: A simple guide and reference. New York, NY: Routledge.
Heeringa, S. G., West, B. T., & Berglund, P. A. (2017). Applied survey data analysis (2nd ed.). New York, NY: Chapman & Hall/CRC Press.
Smith, P. D., Martin, B., Chewning, B., ...
Happiness Data SetAuthor Jackson, S.L. (2017) Statistics plain ShainaBoling829
Happiness Data Set
Author: Jackson, S.L. (2017) Statistics plain and simple. (4th ed.). Boston, MA: Cengage Learning.
I attach the previous essay so you have idea on how to do this assignment. It is similar to the assignment last week.
Assignment Content
1.
Top of Form
As you get closer to the final project in Week 6, you should have a better idea of the role of statistics in research. This week, you will calculate a one-way ANOVA for the independent groups. Reading and interpreting the output correctly is highly important. Most people who read research articles never see the actual output or data; they read the results statements by the researcher, which is why your summary must be accurate.
Consider your hypothesis statements you created in Part 2.
Calculate a one-way ANOVA, including a Tukey's HSD for the data from the Happiness and Engagement Dataset.
Write a 125- to 175-word summary of your interpretation of the results of the ANOVA, and describe how using an ANOVA was more advantageous than using multiple t tests to compare your independent variable on the outcome. Copy and paste your Microsoft® Excel® output below the summary.
Format your summary according to APA format.
Submit your summary, including the Microsoft® Excel® output to the assignment.
Reference/Module:
Module 13: Comparing More Than Two Groups
Using Designs with Three or More Levels of an Independent Variable
Comparing More than Two Kinds of Treatment in One Study
Comparing Two or More Kinds of Treatment with a Control Group
Comparing a Placebo Group to the Control and Experimental Groups
Analyzing the Multiple-Group Design
One-Way Between-Subjects ANOVA: What It Is and What It Does
Review of Key Terms
Module Exercises
Critical Thinking Check AnswersModule 14: One-Way Between-Subjects Analysis of Variance (ANOVA)
Calculations for the One-Way Between-Subjects ANOVA
Interpreting the One-Way Between-Subjects ANOVA
Graphing the Means and Effect Size
Assumptions of the One-Way Between-Subjects ANOVA
Tukey's Post Hoc Test
Review of Key Terms
Module Exercises
Critical Thinking Check AnswersChapter 7 Summary and ReviewChapter 7 Statistical Software Resources
In this chapter, we discuss the common types of statistical analyses used with designs involving more than two groups. The inferential statistics discussed in this chapter differ from those presented in the previous two chapters. In Chapter 5, single samples were being compared to populations (z test and t test), and in Chapter 6, two independent or correlated samples were being compared. In this chapter, the statistics are designed to test differences between more than two equivalent groups of subjects.
Several factors influence which statistic should be used to analyze the data collected. For example, the type of data collected and the number of groups being compared must be considered. Moreover, the statistic used to analyze the data will vary depending on whether the study involves a between-subjects design (designs in ...
Review of "Survey Research Methods & Design in Psychology"James Neill
Reviews the 150 hour, third year psychology unit which examined survey research methods, with an emphasis on the second-half of the unit on MLR, ANOVA, power, and effect size.
Chi-square tests are great to show if distributions differ or i.docxMARRY7
Chi-square tests are great to show if distributions differ or if two variables interact in producing outcomes. What are some examples of variables that you might want to check using the chi-square tests? What would these results tell you?
DataSee comments at the right of the data set.IDSalaryCompaMidpointAgePerformance RatingServiceGenderRaiseDegreeGender1Grade8231.000233290915.80FAThe ongoing question that the weekly assignments will focus on is: Are males and females paid the same for equal work (under the Equal Pay Act)? 10220.956233080714.70FANote: to simplfy the analysis, we will assume that jobs within each grade comprise equal work.11231.00023411001914.80FA14241.04323329012160FAThe column labels in the table mean:15241.043233280814.90FAID – Employee sample number Salary – Salary in thousands 23231.000233665613.31FAAge – Age in yearsPerformance Rating – Appraisal rating (Employee evaluation score)26241.043232295216.21FAService – Years of service (rounded)Gender: 0 = male, 1 = female 31241.043232960413.90FAMidpoint – salary grade midpoint Raise – percent of last raise35241.043232390415.31FAGrade – job/pay gradeDegree (0= BS\BA 1 = MS)36231.000232775314.31FAGender1 (Male or Female)Compa - salary divided by midpoint37220.956232295216.21FA42241.0432332100815.70FA3341.096313075513.60FB18361.1613131801115.61FB20341.0963144701614.81FB39351.129312790615.51FB7411.0254032100815.70FC13421.0504030100214.71FC22571.187484865613.80FD24501.041483075913.81FD45551.145483695815.20FD17691.2105727553130FE48651.1405734901115.31FE28751.119674495914.41FF43771.1496742952015.51FF19241.043233285104.61MA25241.0432341704040MA40251.086232490206.30MA2270.870315280703.90MB32280.903312595405.60MB34280.903312680204.91MB16471.175404490405.70MC27401.000403580703.91MC41431.075402580504.30MC5470.9794836901605.71MD30491.0204845901804.30MD1581.017573485805.70ME4661.15757421001605.51ME12601.0525752952204.50ME33641.122573590905.51ME38560.9825745951104.50ME44601.0525745901605.21ME46651.1405739752003.91ME47621.087573795505.51ME49601.0525741952106.60ME50661.1575738801204.60ME6761.1346736701204.51MF9771.149674910010041MF21761.1346743951306.31MF29721.074675295505.40MF
Week 1Week 1.Measurement and Description - chapters 1 and 21Measurement issues. Data, even numerically coded variables, can be one of 4 levels - nominal, ordinal, interval, or ratio. It is important to identify which level a variable is, asthis impact the kind of analysis we can do with the data. For example, descriptive statistics such as means can only be done on interval or ratio level data.Please list under each label, the variables in our data set that belong in each group.NominalOrdinalIntervalRatiob.For each variable that you did not call ratio, why did you make that decision?2The first step in analyzing data sets is to find some summary descriptive statistics for key variables.For salary, compa, age, performance rating, and service; find the mean, standard deviation, and range for 3 groups: ...
Assignment 2 Tests of SignificanceThroughout this assignment yo.docxrock73
Assignment 2: Tests of Significance
Throughout this assignment you will review mock studies. You will needs to follow the directions outlined in the section using SPSS and decide whether there is significance between the variables. You will need to list the five steps of hypothesis testing (as covered in the lesson for Week 6) to see how every question should be formatted. You will complete all of the problems. Be sure to cut and past the appropriate test result boxes from SPSS under each problem and explain what you will do with your research hypotheses. All calculations should be coming from your SPSS. You will need to submit the SPSS output file to get credit for this assignment. This file will save as a .spv file and will need to be in a single file. In other words, you are not allowed to submit more than one output file for this assignment.
The five steps of hypothesis testing when using SPSS are as follows:
1. State your research hypothesis (H1) and null hypothesis (H0).
2. Identify your confidence interval (.05 or .01)
3. Conduct your analysis using SPSS.
4. Look for the valid score for comparison. This score is usually under ‘Sig 2-tail’ or ‘Sig. 2’. We will call this “p”.
5. Compare the two and apply the following rule:
a. If “p” is < or = confidence interval, than you reject the null.
Be sure to explain to the reader what this means in regards to your study. (Ex: will you recommend counseling services?)
* Be sure that your answers are clearly distinguishable. Perhaps you bold your font or use a different color.
ASSIGNMENT 2(200) WORD MINIUM
1. They allow us to see if our relationship is "statistically significant". (Remember that this only shows us that there is or is not a relationship but does NOT show us if it is big, small, or in-between.)
2. It let's us know if our findings can be generalized to the population which our sample was selected from and represents.
This week you will decide which test of significance you will use for your project. For this class your choices for tests will include one of the following:
· Chi-square
· t Test
· ANOVA
We will be using a process for hypothesis testing which outlines five steps researchers can follow to complete this process:
1. Write your research hypothesis (H1) and your null hypothesis (H0).
2. Identify and record your confidence interval. These are usually .05 (95%) or .01 (99%).
3. Complete the test using SPSS.
4. Identify the number under Sig. (2-tail). This will be represented by "p".
5. Compare the numbers in steps 2 and 4 and apply the following rule:
1. If p < or = confidence interval, than you reject the null hypothesis
Determine what to do with your null and explain this to your reader. Be sure to go beyond the phrase "reject or fail to reject the null" and explain how that impacts your research and best describes the relationship between variables.
TEST QUESTIONS-NEED FULL ANSWERS
Q1
Make up and discuss research examples corresponding to the various ...
1Create a correlation table for the variables in our data set. (Us.docxjeanettehully
1
Create a correlation table for the variables in our data set. (Use analysis ToolPak function Correlation.)
a. Interpret the results.
What variables seem to be important in seeing if we pay males and females equally for equal work?
2
Below is a regression analysis for salary being predicted/explained by the other variables in our sample
(Mid,
age, ees, sr, raise, and deg variables.) (Note: since salary and compa are different ways of
expressing an employee’s salary, we do not want to have both used in the same regression.)
Ho: The regression equation is not significant.
Ha: The regression equation is significant.
Ho: The regression coefficient for each variable is not significant
Ha: The regression coefficient for each variable is significant
Sal
The analysis used Sal as the y (dependent variable) and
SUMMARY OUTPUT
mid, age, ees, sr, g, raise, and deg as the dependent
variables (entered as a range).
Regression Statistics
Multiple R
0.99215498
R Square
0.9843715
Adjusted R Square
0.98176675
Standard Error
2.59277631
Observations
50
ANOVA
df
SS
MS
F
Significance F
Regression
7
17783.7
2540.52
377.914
8.44043E-36
Residual
42
282.345
6.72249
Total
49
18066
Coefficients
Standard Error
t Stat
P-value
Lower 95%
Upper 95%
Lower 95.0%
Upper 95.0%
Intercept
-4.009
3.775
-1.062
0.294
-11.627
3.609
-11.627
3.609
Mid
1.220
0.030
40.674
0.000
1.159
1.280
1.159
1.280
Age
0.029
0.067
0.439
0.663
-0.105
0.164
-0.105
0.164
EES
-0.096
0.047
-2.020
0.050
-0.191
0.000
-0.191
0.000
SR
-0.074
0.084
-0.876
0.386
-0.244
0.096
-0.244
0.096
G
2.552
0.847
3.012
0.004
0.842
4.261
0.842
4.261
Raise
0.834
0.643
1.299
0.201
-0.462
2.131
-0.462
2.131
Deg
1.002
0.744
1.347
0.185
-0.500
2.504
-0.500
2.504
Interpretation:
Do you reject or not reject the regression null hypothesis?
Do you reject or not reject the null hypothesis for each variable?
What is the regression equation, using only significant variables if any exist?
What does result tell us about equal pay for equal work for males and females?
3
Perform a regression analysis using compa as the dependent variable and the same independent
variables as used in question 2.
Show the result, and interpret your findings by answering the same questions.
Note: be sure to include the appropriate hypothesis statements.
4
Based on all of your results to date, is gender a factor in the pay practices of this company?
Why or why not?
Which is the best variable to use in analyzing pay practices - salary or compa?
Why?
.
1NOTE This is a template to help you format Project Part .docxrobert345678
1
NOTE: This is a template to help you format Project Part A. I have put some explanations in red. Please delete these before submitting the assignment. All text in your submission should be black.
NOTE: This assignment has been changed from what is in the Canvas shell. You are to analyze only two variables instead of 3; and only 2 pairings instead of 3.
ALSO YOU MUST USE THE VARIABLES SPECIFIED IN THIS TEMPLATE.
Project Part A: Descriptive Statistics
By
Put your name here
MATH534 – Applied Managerial Statistics
Prof. Bhupinder Sran
Keller Graduate School of Management
Put date of submission here
1. Introduction
Provide the purpose of this report and an overview of its content. About 2-4 sentences.
2. Variable Name: SALES
2.1 Numerical analysis
Use the table below to display the main statistics. You can add more rows for more statistics IF you want to.
Please don’t put a narrative here.
Mean
Put the mean here
Median
Put the median here
Mode
Put the mode here
Standard deviation
Put the standard deviation here
2.2 Graphical analysis
Display one graph or chart that is appropriate for this data. A histogram, stem and leaf diagram or frequency distribution are good options here. However, you may select your own type.
Please don’t put a narrative here.
2.3 Analysis
Provide a 3-5 sentence analysis pointing out some main findings of the analysis of this variable.
Don’t just restate the numbers. Try to explain how these findings might be useful for management or the organization.
3. Variable Name: CALLS
3.1 Numerical analysis
Use the table below to display the main statistics. You can add more rows for more statistics IF you want to.
Please don’t put a narrative here.
Mean
Put the mean here
Median
Put the median here
Mode
Put the mode here
Standard deviation
Put the standard deviation here
3.2 Graphical analysis
Display one graph or chart that is appropriate for this data. A histogram, stem and leaf diagram or frequency distribution are good options here. However, you may select your own type.
Please don’t put a narrative here.
3.3 Analysis
Provide a 3-5 sentence analysis pointing out some main findings of the analysis of this variable.
Don’t just restate the numbers. Try to explain how these findings might be useful for management or the organization.
4. Variable Pairing: SALES vs CALLS
4.1 Graphical Analysis
Since SALES and CALLS are both numeric, create a scatter plot and place it here.
Please don’t put a narrative here.
4.2 Analysis
Provide a 3-5 sentence analysis pointing out some main findings of the analysis of the relationship between the variables.
5. Variable Pairing: SALES and TYPE
5.1 Graphical Analysis
Display a graph showing the relationship between the two variables. TYPE is not a numeric variable, so you can’t use a scatter plot. Consider using something that displays th.
Between Black and White Population1. Comparing annual percent .docxjasoninnes20
Between Black and White Population
1. Comparing annual percent of Medicare enrollees having at least one ambulatory visit between B and W
2. Comparing average annual percent of diabetic Medicare enrollees age 65-75 having hemoglobin A1c between B and W
3. Comparing average annual percent of diabetic Medicare enrollees age 65-75 having eye examination between B and W
4. Comparing average annual percent of diabetic Medicare enrollees age 65-75 having
Students will develop an analysis report, in five main sections, including introduction, research method (research questions/objective, data set, research method, and analysis), results, conclusion and health policy recommendations. This is a 5-6 page individual project report.
Here are the main steps for this assignment.
Step 1: Students require to submit the topic using topic selection discussion forum by the end of week 1 and wait for instructor approval.
Step 2: Develop the research question and
Step 3: Run the analysis using EXCEL (RStudio for BONUS points) and report the findings using the assignment instruction.
The Report Structure:
Start with the
1.Cover page (1 page, including running head).
Please look at the example http://www.apastyle.org/manual/related/sample-experiment-paper-1.pdf (you can download the file from the class) and http://www.umuc.edu/library/libhow/apa_tutorial.cfm to learn more about the APA style.
In the title page include:
· Title, this is the approved topic by your instructor.
· Student name
· Class name
· Instructor name
· Date
2.Introduction
Introduce the problem or topic being investigated. Include relevant background information, for example;
· Indicates why this is an issue or topic worth researching;
· Highlight how others have researched this topic or issue (whether quantitatively or qualitatively), and
· Specify how others have operationalized this concept and measured these phenomena
Note: Introduction should not be more than one or two paragraphs.
Literature Review
There is no need for a literature review in this assignment
3.Research Question or Research Hypothesis
What is the Research Question or Research Hypothesis?
***Just in time information: Here are a few points for Research Question or Research Hypothesis
There are basically two kinds of research questions: testable and non-testable. Neither is better than the other, and both have a place in applied research.
Examples of non-testable questions are:
How do managers feel about the reorganization?
What do residents feel are the most important problems facing the community?
Respondents' answers to these questions could be summarized in descriptive tables and the results might be extremely valuable to administrators and planners. Business and social science researchers often ask non-testable research questions. The shortcoming with these types of questions is that they do not provide objective cut-off points for decision-makers.
In order to overcome this problem, researchers often seek to answer o ...
Ashford 4: - Week 3 - Discussion 1
Your initial discussion thread is due on Day 3 (Thursday) and you have until Day 7 (Monday) to respond to your classmates. Your grade will reflect both the quality of your initial post and the depth of your responses. Reference the Discussion Forum Grading Rubric for guidance on how your discussion will be evaluated.
ANOVA
In many ways, comparing multiple sample means is simply an extension of what we covered last week. Just as we had 3 versions of the t-test (1 sample, 2 sample (with and without equal variance), and paired; we have several versions of ANOVA – single factor, factorial (called 2-factor with replication in Excel), and within-subjects (2-factor without replication in Excel). What examples (professional, personal, social) can you provide on when we might use each type? What would be the appropriate hypotheses statements for each example?
Guided Response: Review several of your classmates’ posts. Respond to at least two classmates by commenting on why you agree or disagree with the statistical test that your peers have described as appropriate in this scenario.
Ashford 4: - Week 3 - Discussion 2
Your initial discussion thread is due on Day 3 (Thursday) and you have until Day 7 (Monday) to respond to your classmates. Your grade will reflect both the quality of your initial post and the depth of your responses. Reference the Discussion Forum Grading Rubric for guidance on how your discussion will be evaluated.
Effect Size
Several statistical tests have a way to measure effect size. What is this, and when might you want to use it in looking at results from these tests on job related data?
Ashford 4: - Week 3 - Assignment
Problem Set Week Three
Complete the problems included in the resources below and submit your work in an Excel document. Be sure to show all of your work and clearly label all calculations.
All statistical calculations will use the Employee Salary Data Set and the Week 3 assignment sheet.
Carefully review the Grading Rubric for the criteria that will be used to evaluate your assignment.
See comments at the right of the data set.
ID
Salary
Compa
Midpoint
Age
Performance Rating
Service
Gender
Raise
Degree
Gender1
Grade
8
23
1.000
23
32
90
9
1
5.8
0
F
A
The ongoing question that the weekly assignments will focus on is: Are males and females paid the same for equal work (under the Equal Pay Act)?
10
22
0.956
23
30
80
7
1
4.7
0
F
A
Note: to simplfy the analysis, we will assume that jobs within each grade comprise equal work.
11
23
1.000
23
41
100
19
1
4.8
0
F
A
14
24
1.043
23
32
90
12
1
6
0
F
A
The column labels in the table mean:
15
24
1.043
23
32
80
8
1
4.9
0
F
A
ID – Employee sample number
Salary – Salary in thousands
23
23
1.000
23
36
65
6
1
3.3
1
F
A
Age – Age in years
Performance Rating – Appraisal rating (Employee evaluation score)
26
24
1.043
23
22
95
2
1
6.2
1
F
A
Service – Years of service (rounded)
Gender: ...
BUS 308 Week 3 Lecture 1 Examining Differences - Continued.docxcurwenmichaela
BUS 308 Week 3 Lecture 1
Examining Differences - Continued
Expected Outcomes
After reading this lecture, the student should be familiar with:
1. Issues around multiple testing
2. The basics of the Analysis of Variance test
3. Determining significant differences between group means
4. The basics of the Chi Square Distribution.
Overview
Last week, we found out ways to examine differences between a measure taken on two
groups (two-sample test situation) as well as comparing that measure to a standard (a one-sample
test situation). We looked at the F test which let us test for variance equality. We also looked at
the t-test which focused on testing for mean equality. We noted that the t-test had three distinct
versions, one for groups that had equal variances, one for groups that had unequal variances, and
one for data that was paired (two measures on the same subject, such as salary and midpoint for
each employee). We also looked at how the 2-sample unequal t-test could be used to use Excel
to perform a one-sample mean test against a standard or constant value. This week we expand
our tool kit to let us compare multiple groups for similar mean values.
A second tool will let us look at how data values are distributed – if graphed, would they
look the same? Different shapes or patterns often means the data sets differ in significant ways
that can help explain results.
Multiple Groups
As interesting as comparing two groups is, often it is a bit limiting as to what it tells us.
One obvious issue that we are missing in the comparisons made last week was equal work. This
idea is still somewhat hard to get a clear handle on. Typically, as we look at this issue, questions
arise about things such as performance appraisal ratings, education distribution, seniority impact,
etc.
Some of these can be tested with the tools introduced last week. We can see, for
example, if the performance rating average is the same for each gender. What we couldn’t do, at
this point however, is see if performance ratings differ by grade, do the more senior workers
perform relatively better? Is there a difference between ratings for each gender by grade level?
The same questions can be asked about seniority impact. This week will give us tools to expand
how we look at the clues hidden within the data set about equal pay for equal work.
ANOVA
So, let’s start taking a look at these questions. The first tool for this week is the Analysis
of Variance – ANOVA for short. ANOVA is often confusing for students; it says it analyzes
variance (which it does) but the purpose of an ANOVA test is to determine if the means of
different groups are the same! Now, so far, we have considered means and variance to be two
distinct characteristics of data sets; characteristics that are not related, yet here we are saying that
looking at one will give us insight into the other.
The reason is due to the way the variance is an.
(Individuals With Disabilities Act Transformation Over the Years)DSilvaGraf83
(Individuals With Disabilities Act Transformation Over the Years)
Discussion Forum Instructions:
1. You must post at least three times each week.
2. Your initial post is due Tuesday of each week and the following two post are due before Sunday.
3. All post must be on separate days of the week.
4. Post must be at least 150 words and cite all of your references even it its the book.
Discussion Topic:
Describe how the lives of students with disabilities from culturally and/or linguistically diverse backgrounds have changed since the advent of IDEA. What do you feel are some things that can or should be implemented to better assist with students that have disabilities? Tell me about these ideas and how would you integrate them?
ANOVA
ANOVA
• Analysis of Variance
• Statistical method to analyzes variances to determine if the means from more than
two populations are the same
• compare the between-sample-variation to the within-sample-variation
• If the between-sample-variation is sufficiently large compared to the within-sample-
variation it is likely that the population means are statistically different
• Compares means (group differences) among levels of factors. No
assumptions are made regarding how the factors are related
• Residual related assumptions are the same as with simple regression
• Explanatory variables can be qualitative or quantitative but are categorized
for group investigations. These variables are often referred to as factors
with levels (category levels)
ANOVA Assumptions
• Assume populations , from which the response values for the groups
are drawn, are normally distributed
• Assumes populations have equal variances
• Can compare the ratio of smallest and largest sample standard deviations.
Between .05 and 2 are typically not considered evidence of a violation
assumption
• Assumes the response data are independent
• For large sample sizes, or for factor level sample sizes that are equal,
the ANOVA test is robust to assumption violations of normality and
unequal variances
ANOVA and Variance
Fixed or Random Factors
• A factor is fixed if its levels are chosen before the ANOVA investigation
begins
• Difference in groups are only investigated for the specific pre-selected factors
and levels
• A factor is random if its levels are choosen randomly from the
population before the ANOVA investigation begins
Randomization
• Assigning subjects to treatment groups or treatments to subjects
randomly reduces the chance of bias selecting results
ANOVA hypotheses statements
One-way ANOVA
One-Way ANOVA
Hypotheses statements
Test statistic
=
𝐵𝑒𝑡𝑤𝑒𝑒𝑛 𝐺𝑟𝑜𝑢𝑝 𝑉𝑎𝑟𝑖𝑎𝑛𝑐𝑒
𝑊𝑖𝑡ℎ𝑖𝑛 𝐺𝑟𝑜𝑢𝑝 𝑉𝑎𝑟𝑖𝑎𝑛𝑐𝑒
Under the null hypothesis both the between and within group variances estimate the
variance of the random error so the ratio is assumed to be close to 1.
Null Hypothesis
Alternate Hypothesis
One-Way ANOVA
One-Way ANOVA
One-Way ANOVA Excel Output
Treatme
(Individuals With Disabilities Act Transformation Over the Years)DMoseStaton39
(Individuals With Disabilities Act Transformation Over the Years)
Discussion Forum Instructions:
1. You must post at least three times each week.
2. Your initial post is due Tuesday of each week and the following two post are due before Sunday.
3. All post must be on separate days of the week.
4. Post must be at least 150 words and cite all of your references even it its the book.
Discussion Topic:
Describe how the lives of students with disabilities from culturally and/or linguistically diverse backgrounds have changed since the advent of IDEA. What do you feel are some things that can or should be implemented to better assist with students that have disabilities? Tell me about these ideas and how would you integrate them?
ANOVA
ANOVA
• Analysis of Variance
• Statistical method to analyzes variances to determine if the means from more than
two populations are the same
• compare the between-sample-variation to the within-sample-variation
• If the between-sample-variation is sufficiently large compared to the within-sample-
variation it is likely that the population means are statistically different
• Compares means (group differences) among levels of factors. No
assumptions are made regarding how the factors are related
• Residual related assumptions are the same as with simple regression
• Explanatory variables can be qualitative or quantitative but are categorized
for group investigations. These variables are often referred to as factors
with levels (category levels)
ANOVA Assumptions
• Assume populations , from which the response values for the groups
are drawn, are normally distributed
• Assumes populations have equal variances
• Can compare the ratio of smallest and largest sample standard deviations.
Between .05 and 2 are typically not considered evidence of a violation
assumption
• Assumes the response data are independent
• For large sample sizes, or for factor level sample sizes that are equal,
the ANOVA test is robust to assumption violations of normality and
unequal variances
ANOVA and Variance
Fixed or Random Factors
• A factor is fixed if its levels are chosen before the ANOVA investigation
begins
• Difference in groups are only investigated for the specific pre-selected factors
and levels
• A factor is random if its levels are choosen randomly from the
population before the ANOVA investigation begins
Randomization
• Assigning subjects to treatment groups or treatments to subjects
randomly reduces the chance of bias selecting results
ANOVA hypotheses statements
One-way ANOVA
One-Way ANOVA
Hypotheses statements
Test statistic
=
𝐵𝑒𝑡𝑤𝑒𝑒𝑛 𝐺𝑟𝑜𝑢𝑝 𝑉𝑎𝑟𝑖𝑎𝑛𝑐𝑒
𝑊𝑖𝑡ℎ𝑖𝑛 𝐺𝑟𝑜𝑢𝑝 𝑉𝑎𝑟𝑖𝑎𝑛𝑐𝑒
Under the null hypothesis both the between and within group variances estimate the
variance of the random error so the ratio is assumed to be close to 1.
Null Hypothesis
Alternate Hypothesis
One-Way ANOVA
One-Way ANOVA
One-Way ANOVA Excel Output
Treatme
Article Write-upsTo help you connect what you’re learning in cl.docxdavezstarr61655
Article Write-ups
To help you connect what you’re learning in class with current events, you are required to find an economics-related news article, read it, and write a short paper connecting your findings to topics we’ve discussed in class. You should select your article from a reputable source like The Economist, New York Times, or Wall Street Journal (read: not a blog post or obscure website). Students must read the selected piece, summarize the content, relate it to subjects covered in class, and turn in a short (1-2 pages) typed paper with these elements. Please note that this means you need to pick an article substantial enough to write more than one page about it.
Some suggested topics:
Tradeoffs or opportunity costs
Supply & Demand (including input costs, other nonprice determinants)
Substitute & complementary goods
Elasticity
Market efficiency
Behavioral economics (framing, heuristics)
Consumer choice (utility maximization, diminishing marginal utility)
Write-up Requirements:
-Minimum 1 page of text not including header or references (double spaced, 12 point font, standard margins).
-A discussion of how your selected article directly relates to or relies upon a particular economic principle we have covered in class. This should include defining and explaining the concept, in addition to discussing how it is used in your article. (I.e. “This article uses the concept of opportunity costs, which means…” or “This article discusses using sales prices to frame consumer decisions. From behavioral economics we learned that framing is….”)
-A summary of the contents that demonstrates you read the article.
-A review and general evaluation based upon what you’ve learned in class.
-A properly formatted reference for your article (citation style of your choice – APA, MLA, etc.). For online sources please provide a link.
-You must submit your assignment on Moodle as a Word document (.doc or .docx)
Week 3 Lecture 9
Effect Size
When we reject the null hypothesis with an ANOVA test, we have two questions that arise. The first, which pair of means differs significantly, we have dealt with already. The second question, similar to what we asked with the t-test null hypothesis rejection is; what caused the rejection, the sample size or the variable interactions? This question is again answered using an effect size measure.
Recall that the effect size measure shows how likely the variable interaction caused the null hypothesis rejection. Large values lead us to say the variables caused the outcome, while small values lead us to say the outcome has little to no practical significance as the sample size was the most likely cause of the rejection of the null.
With the single factor ANOVA, the effect size measure is eta squared, and equals the SS(between)/SS(total) (Tanner & Youssef-Morgan, 2013). For our salary example in Lecture 8, eta squared equals 17686.02 (SS(between) / 18066 (SS(total) = 0.979 (rounded). Eta squared effect s.
4
DDBA 8307 Week 7 Assignment Template
John Doe
DDBA 8307-6
Dr. Jane Doe
1
Two-Way Contingency Table Analysis
Type text here. You will describe and defend using the two-way contingency table analysis. Use at least two outside resources—that is, resources not provided in the course resources, readings, etc. These citations will be presented in the References section. This exercise will give you practice for addressing Rubric Item 2.13b, which states, “Describes and defends, in detail, the statistical analyses that the student will conduct….” This section should be no more than two paragraphs.
Research Question
Type appropriate research question here?
Hypotheses
H0: Type appropriate null hypothesis here.
H1: Type appropriate alternative hypothesis here.
Results
Type introduction here.
Descriptive Statistics
Present the descriptive statistics here—use appropriate table and figures.
Inferential Results
Type the inferential results here.
2
References
Type references here in proper APA format.
Appendix – Two-Way Contingency Table Analysis
SPSS Output
BUS 308 Week 2 Lecture 2
Statistical Testing for Differences – Part 1
After reading this lecture, the student should know:
1. How statistical distributions are used in hypothesis testing.
2. How to interpret the F test (both options) produced by Excel
3. How to interpret the T-test produced by Excel
Overview
Lecture 1 introduced the logic of statistical testing using the hypothesis testing procedure.
It also mentioned that we will be looking at two different tests this week. The t-test is used to
determine if means differ, from either a standard or claim or from another group. The F-test is
used to examine variance differences between groups.
This lecture starts by looking at statistical distributions – they underline the entire
statistical testing approach. They are kind of like the detective’s base belief that crimes are
committed for only a couple of reasons – money, vengeance, or love. The statistical distribution
that underlies each test assumes that statistical measures (such as the F value when comparing
variances and the t value when looking at means) follow a particular pattern, and this can be used
to make decisions.
While the underlying distributions differ for the different tests we will be looking at
throughout the course, they all have some basic similarities that allow us to examine the t
distribution and extrapolate from it to interpreting results based on other distributions.
Distributions. The basic logic for all statistical tests: If the null hypothesis claim is
correct, then the distribution of the statistical outcome will be distributed around a central value,
and larger and smaller values will be increasingly rare. At some point (and we define this as our
alpha value), we can say that the likelihood of getting a difference this large is extremely
unlikely and we will say that our results do.
STATISTICS : Changing the way we do: Hypothesis testing, effect size, power, ...Musfera Nara Vadia
STATISTICS : Changing the way we do: Hypothesis testing, effect size, power, confidence interval, two-tailed and one tailed test, and other misunderstood issues.
Critical Response Rubric:
Category 0 1 1.5 2
Timeliness
late On time
Delivery of Critical
Response
Utilizes poor
spelling and
grammar; appear
“hasty”
Errors in
spelling and
grammar
evidenced
Few
grammatical or
spelling errors
are noted
Consistently uses
grammatically
correct response
with rare
misspellings
Organization
Unorganized. A
summary of the
chapter.
Unorganized in
ideas and
structure.
Some evidence
of organization.
Unorganized in
either ideas or
structure.
Primarily
organized with
occasional lack
of organization
in either ideas
or structure.
Clear
organization.
Ideas are clear
and follow a
logical
organization.
Structure of the
response is easy
to follow.
Relevance of
Response
(understanding the
chapter)
Lacks clear
understanding of
the chapter
Occasionally off
topic; short in
length and offer
no further
insight into the
topic. Lacking 2
or more of the
following: (1)
The text
assumptions (2)
implications of
the assumptions
(3) what the
author is
arguing for (4)
how the author
constructs their
argument
Related to
chapter
content; lacks
one of the
following: (1)
The text
assumptions (2)
implications of
the
assumptions (3)
what the author
is arguing for
(4) how the
author
constructs their
argument
Clear
understanding of
chapter content
and includes all of
the following:(1)
The text
assumptions (2)
implications of the
assumptions (3)
what the author is
arguing for (4)
how the author
constructs their
argument
Expression within
the response
(evidence of
critical thinking)
Does not express
opinions or ideas
about the topic
Unclear
connection to
topic evidenced
in minimal
expression of
opinions or
ideas
Opinions and
ideas are stated
with occasional
lack of
connection to
topic
Expresses
opinions and
ideas in a clear
and concise
manner with
obvious
connection to
topic
Story 2
Naming, walking and magic
By Carlos Gonzalez
The words you speak become the house you live in.—Hafiz (Ladinsky, 1999, p. 281)
Brazilian lyricist and novelist, Paulo Coelho, says that magic is a kind of bridge between the visible and invisible (2014). My work as a teacher and my students’ experiences in the learning spaces I help create sometimes reflect Coelho’s definition. In class, I often make the argument that language is the ultimate form of magic. Without it we don't really understand the world about us. It is that bridge between what is known and what wants to be known or is currently invisible.
In our sessions, because most of my students are familiar with and culturally rooted in the Bible, I mention a passage where God tells Adam to name the animals in the Garden of Eden. For me, this story works as a powerful reminder that the impulse to name is an integral part of what it means to be human. The naming of the animals implies that the way we relate to the world has something to do wi.
Critical Response Rubric- Please view the videos provided on Asha De.docxwillcoxjanay
Critical Response Rubric- Please view the videos provided on Asha Degree. The first, Trace Evidence, is a descriptive trace of the evidence in the case. The second video is the FBI clip hat includes Asha's parents. The Third clip is an experimental walk of the route Asha is claimed to have took that night. SAY HER NAME EXAMPLE- Simply provide a name an incident where violence was inflicted on a Black Female Body (since we've acknowledged Breonna Taylor, please research and find someone else that the class can be made aware of.
One page double space (thoughts)/response
.
https://www.youtube.com/watch?v=Ih5RUlzJjZI
https://www.youtube.com/watch?v=Y-9FtGTRWnk
https://www.youtube.com/watch?v=f30w54xfxiI
.
Critical Reflective AnalysisIn developing your genogram and learni.docxwillcoxjanay
Critical Reflective Analysis
In developing your genogram and learning plan you were required to collect significant personal data that has influenced your lifestyle and consequently your personal health and wellness. Looking at this information and your personal learning plan a meaningful event must have come to mind. This event would have been an incident that probably impacted your lifestyle in a negative fashion; as an example a divorce, an accident or a sudden death of a family member from familial links. How did this affect your overall health using the six dimensions of wellness? How does the research support the findings? What does this mean for you? With the knowledge you have gained how has this changed your perspective? Why? What changes will you make?Using the LEARN
headings
write a critical analyses highlighting the abstract ideas underlying your reflection. Use specific details and at least
three references
to defend your conclusions.
Criteria for Evaluation and GradingFormat:
5 pages (excluding title and reference page)
12 font Arial or Times New Roman
Double spaced
Minimum of 3-4 references
APA format (link)
Submit in a Word.doc document
LEARN HEADINGS
Look Back
Present a meaningful event
Outline event concisely
Elaborate
Summarize event in detail (what happened, who was involved, where the event occurred, your involvement)
Describe personal feelings and perceptions of self and others
Analyze
Identify
one key
issue to analyze
Use literature as a guide with at least 3 evidence based journal articles
Compare and contrast the event with knowledge acquired in reading
Discuss the new perspective (view) you have acquired through the literature
Revise
Refer back to your acquired knowledge and analysis
Explain how you would preserve or change your perspective
Discuss rationale for considering the change in your life
Suggest alternative strategies you are presently using as a result of this analysis
New Perspective
Identify recommendations for future revision of your lifestyle
Guidelines to assist reflective writing:
Occasion for reflection: (an experience – seen, read, heard)
Presents experience through use of concrete, sensory language, quotations and narrative accounts
Shows depth of thought
Indicates creativity
Reflection ( exploration and analyzes)
Reveals feelings and thoughts through presentation of the experience
Conveys evidence of a personal response to the experience
Enables reader to understand the abstract ideas underlying the reflection through use of specific detail
Demonstrates good meta-cognition
Writing Strategies
Uses convincing language and scenarios to detail reflection
Uses comparison and imagery
Enhances reflection through contrasting and explaining possibilities
Makes inferences
Develops new ways of reflecting upon nursing and nursing practice
Coherence and style:
Demonstrates insight through natural flow of ideas
P.
More Related Content
Similar to U3 IP.savMKTG420_U3IP.docUnit 3 Individual Project .docx
1NOTE This is a template to help you format Project Part .docxrobert345678
1
NOTE: This is a template to help you format Project Part A. I have put some explanations in red. Please delete these before submitting the assignment. All text in your submission should be black.
NOTE: This assignment has been changed from what is in the Canvas shell. You are to analyze only two variables instead of 3; and only 2 pairings instead of 3.
ALSO YOU MUST USE THE VARIABLES SPECIFIED IN THIS TEMPLATE.
Project Part A: Descriptive Statistics
By
Put your name here
MATH534 – Applied Managerial Statistics
Prof. Bhupinder Sran
Keller Graduate School of Management
Put date of submission here
1. Introduction
Provide the purpose of this report and an overview of its content. About 2-4 sentences.
2. Variable Name: SALES
2.1 Numerical analysis
Use the table below to display the main statistics. You can add more rows for more statistics IF you want to.
Please don’t put a narrative here.
Mean
Put the mean here
Median
Put the median here
Mode
Put the mode here
Standard deviation
Put the standard deviation here
2.2 Graphical analysis
Display one graph or chart that is appropriate for this data. A histogram, stem and leaf diagram or frequency distribution are good options here. However, you may select your own type.
Please don’t put a narrative here.
2.3 Analysis
Provide a 3-5 sentence analysis pointing out some main findings of the analysis of this variable.
Don’t just restate the numbers. Try to explain how these findings might be useful for management or the organization.
3. Variable Name: CALLS
3.1 Numerical analysis
Use the table below to display the main statistics. You can add more rows for more statistics IF you want to.
Please don’t put a narrative here.
Mean
Put the mean here
Median
Put the median here
Mode
Put the mode here
Standard deviation
Put the standard deviation here
3.2 Graphical analysis
Display one graph or chart that is appropriate for this data. A histogram, stem and leaf diagram or frequency distribution are good options here. However, you may select your own type.
Please don’t put a narrative here.
3.3 Analysis
Provide a 3-5 sentence analysis pointing out some main findings of the analysis of this variable.
Don’t just restate the numbers. Try to explain how these findings might be useful for management or the organization.
4. Variable Pairing: SALES vs CALLS
4.1 Graphical Analysis
Since SALES and CALLS are both numeric, create a scatter plot and place it here.
Please don’t put a narrative here.
4.2 Analysis
Provide a 3-5 sentence analysis pointing out some main findings of the analysis of the relationship between the variables.
5. Variable Pairing: SALES and TYPE
5.1 Graphical Analysis
Display a graph showing the relationship between the two variables. TYPE is not a numeric variable, so you can’t use a scatter plot. Consider using something that displays th.
Between Black and White Population1. Comparing annual percent .docxjasoninnes20
Between Black and White Population
1. Comparing annual percent of Medicare enrollees having at least one ambulatory visit between B and W
2. Comparing average annual percent of diabetic Medicare enrollees age 65-75 having hemoglobin A1c between B and W
3. Comparing average annual percent of diabetic Medicare enrollees age 65-75 having eye examination between B and W
4. Comparing average annual percent of diabetic Medicare enrollees age 65-75 having
Students will develop an analysis report, in five main sections, including introduction, research method (research questions/objective, data set, research method, and analysis), results, conclusion and health policy recommendations. This is a 5-6 page individual project report.
Here are the main steps for this assignment.
Step 1: Students require to submit the topic using topic selection discussion forum by the end of week 1 and wait for instructor approval.
Step 2: Develop the research question and
Step 3: Run the analysis using EXCEL (RStudio for BONUS points) and report the findings using the assignment instruction.
The Report Structure:
Start with the
1.Cover page (1 page, including running head).
Please look at the example http://www.apastyle.org/manual/related/sample-experiment-paper-1.pdf (you can download the file from the class) and http://www.umuc.edu/library/libhow/apa_tutorial.cfm to learn more about the APA style.
In the title page include:
· Title, this is the approved topic by your instructor.
· Student name
· Class name
· Instructor name
· Date
2.Introduction
Introduce the problem or topic being investigated. Include relevant background information, for example;
· Indicates why this is an issue or topic worth researching;
· Highlight how others have researched this topic or issue (whether quantitatively or qualitatively), and
· Specify how others have operationalized this concept and measured these phenomena
Note: Introduction should not be more than one or two paragraphs.
Literature Review
There is no need for a literature review in this assignment
3.Research Question or Research Hypothesis
What is the Research Question or Research Hypothesis?
***Just in time information: Here are a few points for Research Question or Research Hypothesis
There are basically two kinds of research questions: testable and non-testable. Neither is better than the other, and both have a place in applied research.
Examples of non-testable questions are:
How do managers feel about the reorganization?
What do residents feel are the most important problems facing the community?
Respondents' answers to these questions could be summarized in descriptive tables and the results might be extremely valuable to administrators and planners. Business and social science researchers often ask non-testable research questions. The shortcoming with these types of questions is that they do not provide objective cut-off points for decision-makers.
In order to overcome this problem, researchers often seek to answer o ...
Ashford 4: - Week 3 - Discussion 1
Your initial discussion thread is due on Day 3 (Thursday) and you have until Day 7 (Monday) to respond to your classmates. Your grade will reflect both the quality of your initial post and the depth of your responses. Reference the Discussion Forum Grading Rubric for guidance on how your discussion will be evaluated.
ANOVA
In many ways, comparing multiple sample means is simply an extension of what we covered last week. Just as we had 3 versions of the t-test (1 sample, 2 sample (with and without equal variance), and paired; we have several versions of ANOVA – single factor, factorial (called 2-factor with replication in Excel), and within-subjects (2-factor without replication in Excel). What examples (professional, personal, social) can you provide on when we might use each type? What would be the appropriate hypotheses statements for each example?
Guided Response: Review several of your classmates’ posts. Respond to at least two classmates by commenting on why you agree or disagree with the statistical test that your peers have described as appropriate in this scenario.
Ashford 4: - Week 3 - Discussion 2
Your initial discussion thread is due on Day 3 (Thursday) and you have until Day 7 (Monday) to respond to your classmates. Your grade will reflect both the quality of your initial post and the depth of your responses. Reference the Discussion Forum Grading Rubric for guidance on how your discussion will be evaluated.
Effect Size
Several statistical tests have a way to measure effect size. What is this, and when might you want to use it in looking at results from these tests on job related data?
Ashford 4: - Week 3 - Assignment
Problem Set Week Three
Complete the problems included in the resources below and submit your work in an Excel document. Be sure to show all of your work and clearly label all calculations.
All statistical calculations will use the Employee Salary Data Set and the Week 3 assignment sheet.
Carefully review the Grading Rubric for the criteria that will be used to evaluate your assignment.
See comments at the right of the data set.
ID
Salary
Compa
Midpoint
Age
Performance Rating
Service
Gender
Raise
Degree
Gender1
Grade
8
23
1.000
23
32
90
9
1
5.8
0
F
A
The ongoing question that the weekly assignments will focus on is: Are males and females paid the same for equal work (under the Equal Pay Act)?
10
22
0.956
23
30
80
7
1
4.7
0
F
A
Note: to simplfy the analysis, we will assume that jobs within each grade comprise equal work.
11
23
1.000
23
41
100
19
1
4.8
0
F
A
14
24
1.043
23
32
90
12
1
6
0
F
A
The column labels in the table mean:
15
24
1.043
23
32
80
8
1
4.9
0
F
A
ID – Employee sample number
Salary – Salary in thousands
23
23
1.000
23
36
65
6
1
3.3
1
F
A
Age – Age in years
Performance Rating – Appraisal rating (Employee evaluation score)
26
24
1.043
23
22
95
2
1
6.2
1
F
A
Service – Years of service (rounded)
Gender: ...
BUS 308 Week 3 Lecture 1 Examining Differences - Continued.docxcurwenmichaela
BUS 308 Week 3 Lecture 1
Examining Differences - Continued
Expected Outcomes
After reading this lecture, the student should be familiar with:
1. Issues around multiple testing
2. The basics of the Analysis of Variance test
3. Determining significant differences between group means
4. The basics of the Chi Square Distribution.
Overview
Last week, we found out ways to examine differences between a measure taken on two
groups (two-sample test situation) as well as comparing that measure to a standard (a one-sample
test situation). We looked at the F test which let us test for variance equality. We also looked at
the t-test which focused on testing for mean equality. We noted that the t-test had three distinct
versions, one for groups that had equal variances, one for groups that had unequal variances, and
one for data that was paired (two measures on the same subject, such as salary and midpoint for
each employee). We also looked at how the 2-sample unequal t-test could be used to use Excel
to perform a one-sample mean test against a standard or constant value. This week we expand
our tool kit to let us compare multiple groups for similar mean values.
A second tool will let us look at how data values are distributed – if graphed, would they
look the same? Different shapes or patterns often means the data sets differ in significant ways
that can help explain results.
Multiple Groups
As interesting as comparing two groups is, often it is a bit limiting as to what it tells us.
One obvious issue that we are missing in the comparisons made last week was equal work. This
idea is still somewhat hard to get a clear handle on. Typically, as we look at this issue, questions
arise about things such as performance appraisal ratings, education distribution, seniority impact,
etc.
Some of these can be tested with the tools introduced last week. We can see, for
example, if the performance rating average is the same for each gender. What we couldn’t do, at
this point however, is see if performance ratings differ by grade, do the more senior workers
perform relatively better? Is there a difference between ratings for each gender by grade level?
The same questions can be asked about seniority impact. This week will give us tools to expand
how we look at the clues hidden within the data set about equal pay for equal work.
ANOVA
So, let’s start taking a look at these questions. The first tool for this week is the Analysis
of Variance – ANOVA for short. ANOVA is often confusing for students; it says it analyzes
variance (which it does) but the purpose of an ANOVA test is to determine if the means of
different groups are the same! Now, so far, we have considered means and variance to be two
distinct characteristics of data sets; characteristics that are not related, yet here we are saying that
looking at one will give us insight into the other.
The reason is due to the way the variance is an.
(Individuals With Disabilities Act Transformation Over the Years)DSilvaGraf83
(Individuals With Disabilities Act Transformation Over the Years)
Discussion Forum Instructions:
1. You must post at least three times each week.
2. Your initial post is due Tuesday of each week and the following two post are due before Sunday.
3. All post must be on separate days of the week.
4. Post must be at least 150 words and cite all of your references even it its the book.
Discussion Topic:
Describe how the lives of students with disabilities from culturally and/or linguistically diverse backgrounds have changed since the advent of IDEA. What do you feel are some things that can or should be implemented to better assist with students that have disabilities? Tell me about these ideas and how would you integrate them?
ANOVA
ANOVA
• Analysis of Variance
• Statistical method to analyzes variances to determine if the means from more than
two populations are the same
• compare the between-sample-variation to the within-sample-variation
• If the between-sample-variation is sufficiently large compared to the within-sample-
variation it is likely that the population means are statistically different
• Compares means (group differences) among levels of factors. No
assumptions are made regarding how the factors are related
• Residual related assumptions are the same as with simple regression
• Explanatory variables can be qualitative or quantitative but are categorized
for group investigations. These variables are often referred to as factors
with levels (category levels)
ANOVA Assumptions
• Assume populations , from which the response values for the groups
are drawn, are normally distributed
• Assumes populations have equal variances
• Can compare the ratio of smallest and largest sample standard deviations.
Between .05 and 2 are typically not considered evidence of a violation
assumption
• Assumes the response data are independent
• For large sample sizes, or for factor level sample sizes that are equal,
the ANOVA test is robust to assumption violations of normality and
unequal variances
ANOVA and Variance
Fixed or Random Factors
• A factor is fixed if its levels are chosen before the ANOVA investigation
begins
• Difference in groups are only investigated for the specific pre-selected factors
and levels
• A factor is random if its levels are choosen randomly from the
population before the ANOVA investigation begins
Randomization
• Assigning subjects to treatment groups or treatments to subjects
randomly reduces the chance of bias selecting results
ANOVA hypotheses statements
One-way ANOVA
One-Way ANOVA
Hypotheses statements
Test statistic
=
𝐵𝑒𝑡𝑤𝑒𝑒𝑛 𝐺𝑟𝑜𝑢𝑝 𝑉𝑎𝑟𝑖𝑎𝑛𝑐𝑒
𝑊𝑖𝑡ℎ𝑖𝑛 𝐺𝑟𝑜𝑢𝑝 𝑉𝑎𝑟𝑖𝑎𝑛𝑐𝑒
Under the null hypothesis both the between and within group variances estimate the
variance of the random error so the ratio is assumed to be close to 1.
Null Hypothesis
Alternate Hypothesis
One-Way ANOVA
One-Way ANOVA
One-Way ANOVA Excel Output
Treatme
(Individuals With Disabilities Act Transformation Over the Years)DMoseStaton39
(Individuals With Disabilities Act Transformation Over the Years)
Discussion Forum Instructions:
1. You must post at least three times each week.
2. Your initial post is due Tuesday of each week and the following two post are due before Sunday.
3. All post must be on separate days of the week.
4. Post must be at least 150 words and cite all of your references even it its the book.
Discussion Topic:
Describe how the lives of students with disabilities from culturally and/or linguistically diverse backgrounds have changed since the advent of IDEA. What do you feel are some things that can or should be implemented to better assist with students that have disabilities? Tell me about these ideas and how would you integrate them?
ANOVA
ANOVA
• Analysis of Variance
• Statistical method to analyzes variances to determine if the means from more than
two populations are the same
• compare the between-sample-variation to the within-sample-variation
• If the between-sample-variation is sufficiently large compared to the within-sample-
variation it is likely that the population means are statistically different
• Compares means (group differences) among levels of factors. No
assumptions are made regarding how the factors are related
• Residual related assumptions are the same as with simple regression
• Explanatory variables can be qualitative or quantitative but are categorized
for group investigations. These variables are often referred to as factors
with levels (category levels)
ANOVA Assumptions
• Assume populations , from which the response values for the groups
are drawn, are normally distributed
• Assumes populations have equal variances
• Can compare the ratio of smallest and largest sample standard deviations.
Between .05 and 2 are typically not considered evidence of a violation
assumption
• Assumes the response data are independent
• For large sample sizes, or for factor level sample sizes that are equal,
the ANOVA test is robust to assumption violations of normality and
unequal variances
ANOVA and Variance
Fixed or Random Factors
• A factor is fixed if its levels are chosen before the ANOVA investigation
begins
• Difference in groups are only investigated for the specific pre-selected factors
and levels
• A factor is random if its levels are choosen randomly from the
population before the ANOVA investigation begins
Randomization
• Assigning subjects to treatment groups or treatments to subjects
randomly reduces the chance of bias selecting results
ANOVA hypotheses statements
One-way ANOVA
One-Way ANOVA
Hypotheses statements
Test statistic
=
𝐵𝑒𝑡𝑤𝑒𝑒𝑛 𝐺𝑟𝑜𝑢𝑝 𝑉𝑎𝑟𝑖𝑎𝑛𝑐𝑒
𝑊𝑖𝑡ℎ𝑖𝑛 𝐺𝑟𝑜𝑢𝑝 𝑉𝑎𝑟𝑖𝑎𝑛𝑐𝑒
Under the null hypothesis both the between and within group variances estimate the
variance of the random error so the ratio is assumed to be close to 1.
Null Hypothesis
Alternate Hypothesis
One-Way ANOVA
One-Way ANOVA
One-Way ANOVA Excel Output
Treatme
Article Write-upsTo help you connect what you’re learning in cl.docxdavezstarr61655
Article Write-ups
To help you connect what you’re learning in class with current events, you are required to find an economics-related news article, read it, and write a short paper connecting your findings to topics we’ve discussed in class. You should select your article from a reputable source like The Economist, New York Times, or Wall Street Journal (read: not a blog post or obscure website). Students must read the selected piece, summarize the content, relate it to subjects covered in class, and turn in a short (1-2 pages) typed paper with these elements. Please note that this means you need to pick an article substantial enough to write more than one page about it.
Some suggested topics:
Tradeoffs or opportunity costs
Supply & Demand (including input costs, other nonprice determinants)
Substitute & complementary goods
Elasticity
Market efficiency
Behavioral economics (framing, heuristics)
Consumer choice (utility maximization, diminishing marginal utility)
Write-up Requirements:
-Minimum 1 page of text not including header or references (double spaced, 12 point font, standard margins).
-A discussion of how your selected article directly relates to or relies upon a particular economic principle we have covered in class. This should include defining and explaining the concept, in addition to discussing how it is used in your article. (I.e. “This article uses the concept of opportunity costs, which means…” or “This article discusses using sales prices to frame consumer decisions. From behavioral economics we learned that framing is….”)
-A summary of the contents that demonstrates you read the article.
-A review and general evaluation based upon what you’ve learned in class.
-A properly formatted reference for your article (citation style of your choice – APA, MLA, etc.). For online sources please provide a link.
-You must submit your assignment on Moodle as a Word document (.doc or .docx)
Week 3 Lecture 9
Effect Size
When we reject the null hypothesis with an ANOVA test, we have two questions that arise. The first, which pair of means differs significantly, we have dealt with already. The second question, similar to what we asked with the t-test null hypothesis rejection is; what caused the rejection, the sample size or the variable interactions? This question is again answered using an effect size measure.
Recall that the effect size measure shows how likely the variable interaction caused the null hypothesis rejection. Large values lead us to say the variables caused the outcome, while small values lead us to say the outcome has little to no practical significance as the sample size was the most likely cause of the rejection of the null.
With the single factor ANOVA, the effect size measure is eta squared, and equals the SS(between)/SS(total) (Tanner & Youssef-Morgan, 2013). For our salary example in Lecture 8, eta squared equals 17686.02 (SS(between) / 18066 (SS(total) = 0.979 (rounded). Eta squared effect s.
4
DDBA 8307 Week 7 Assignment Template
John Doe
DDBA 8307-6
Dr. Jane Doe
1
Two-Way Contingency Table Analysis
Type text here. You will describe and defend using the two-way contingency table analysis. Use at least two outside resources—that is, resources not provided in the course resources, readings, etc. These citations will be presented in the References section. This exercise will give you practice for addressing Rubric Item 2.13b, which states, “Describes and defends, in detail, the statistical analyses that the student will conduct….” This section should be no more than two paragraphs.
Research Question
Type appropriate research question here?
Hypotheses
H0: Type appropriate null hypothesis here.
H1: Type appropriate alternative hypothesis here.
Results
Type introduction here.
Descriptive Statistics
Present the descriptive statistics here—use appropriate table and figures.
Inferential Results
Type the inferential results here.
2
References
Type references here in proper APA format.
Appendix – Two-Way Contingency Table Analysis
SPSS Output
BUS 308 Week 2 Lecture 2
Statistical Testing for Differences – Part 1
After reading this lecture, the student should know:
1. How statistical distributions are used in hypothesis testing.
2. How to interpret the F test (both options) produced by Excel
3. How to interpret the T-test produced by Excel
Overview
Lecture 1 introduced the logic of statistical testing using the hypothesis testing procedure.
It also mentioned that we will be looking at two different tests this week. The t-test is used to
determine if means differ, from either a standard or claim or from another group. The F-test is
used to examine variance differences between groups.
This lecture starts by looking at statistical distributions – they underline the entire
statistical testing approach. They are kind of like the detective’s base belief that crimes are
committed for only a couple of reasons – money, vengeance, or love. The statistical distribution
that underlies each test assumes that statistical measures (such as the F value when comparing
variances and the t value when looking at means) follow a particular pattern, and this can be used
to make decisions.
While the underlying distributions differ for the different tests we will be looking at
throughout the course, they all have some basic similarities that allow us to examine the t
distribution and extrapolate from it to interpreting results based on other distributions.
Distributions. The basic logic for all statistical tests: If the null hypothesis claim is
correct, then the distribution of the statistical outcome will be distributed around a central value,
and larger and smaller values will be increasingly rare. At some point (and we define this as our
alpha value), we can say that the likelihood of getting a difference this large is extremely
unlikely and we will say that our results do.
STATISTICS : Changing the way we do: Hypothesis testing, effect size, power, ...Musfera Nara Vadia
STATISTICS : Changing the way we do: Hypothesis testing, effect size, power, confidence interval, two-tailed and one tailed test, and other misunderstood issues.
Critical Response Rubric:
Category 0 1 1.5 2
Timeliness
late On time
Delivery of Critical
Response
Utilizes poor
spelling and
grammar; appear
“hasty”
Errors in
spelling and
grammar
evidenced
Few
grammatical or
spelling errors
are noted
Consistently uses
grammatically
correct response
with rare
misspellings
Organization
Unorganized. A
summary of the
chapter.
Unorganized in
ideas and
structure.
Some evidence
of organization.
Unorganized in
either ideas or
structure.
Primarily
organized with
occasional lack
of organization
in either ideas
or structure.
Clear
organization.
Ideas are clear
and follow a
logical
organization.
Structure of the
response is easy
to follow.
Relevance of
Response
(understanding the
chapter)
Lacks clear
understanding of
the chapter
Occasionally off
topic; short in
length and offer
no further
insight into the
topic. Lacking 2
or more of the
following: (1)
The text
assumptions (2)
implications of
the assumptions
(3) what the
author is
arguing for (4)
how the author
constructs their
argument
Related to
chapter
content; lacks
one of the
following: (1)
The text
assumptions (2)
implications of
the
assumptions (3)
what the author
is arguing for
(4) how the
author
constructs their
argument
Clear
understanding of
chapter content
and includes all of
the following:(1)
The text
assumptions (2)
implications of the
assumptions (3)
what the author is
arguing for (4)
how the author
constructs their
argument
Expression within
the response
(evidence of
critical thinking)
Does not express
opinions or ideas
about the topic
Unclear
connection to
topic evidenced
in minimal
expression of
opinions or
ideas
Opinions and
ideas are stated
with occasional
lack of
connection to
topic
Expresses
opinions and
ideas in a clear
and concise
manner with
obvious
connection to
topic
Story 2
Naming, walking and magic
By Carlos Gonzalez
The words you speak become the house you live in.—Hafiz (Ladinsky, 1999, p. 281)
Brazilian lyricist and novelist, Paulo Coelho, says that magic is a kind of bridge between the visible and invisible (2014). My work as a teacher and my students’ experiences in the learning spaces I help create sometimes reflect Coelho’s definition. In class, I often make the argument that language is the ultimate form of magic. Without it we don't really understand the world about us. It is that bridge between what is known and what wants to be known or is currently invisible.
In our sessions, because most of my students are familiar with and culturally rooted in the Bible, I mention a passage where God tells Adam to name the animals in the Garden of Eden. For me, this story works as a powerful reminder that the impulse to name is an integral part of what it means to be human. The naming of the animals implies that the way we relate to the world has something to do wi.
Critical Response Rubric- Please view the videos provided on Asha De.docxwillcoxjanay
Critical Response Rubric- Please view the videos provided on Asha Degree. The first, Trace Evidence, is a descriptive trace of the evidence in the case. The second video is the FBI clip hat includes Asha's parents. The Third clip is an experimental walk of the route Asha is claimed to have took that night. SAY HER NAME EXAMPLE- Simply provide a name an incident where violence was inflicted on a Black Female Body (since we've acknowledged Breonna Taylor, please research and find someone else that the class can be made aware of.
One page double space (thoughts)/response
.
https://www.youtube.com/watch?v=Ih5RUlzJjZI
https://www.youtube.com/watch?v=Y-9FtGTRWnk
https://www.youtube.com/watch?v=f30w54xfxiI
.
Critical Reflective AnalysisIn developing your genogram and learni.docxwillcoxjanay
Critical Reflective Analysis
In developing your genogram and learning plan you were required to collect significant personal data that has influenced your lifestyle and consequently your personal health and wellness. Looking at this information and your personal learning plan a meaningful event must have come to mind. This event would have been an incident that probably impacted your lifestyle in a negative fashion; as an example a divorce, an accident or a sudden death of a family member from familial links. How did this affect your overall health using the six dimensions of wellness? How does the research support the findings? What does this mean for you? With the knowledge you have gained how has this changed your perspective? Why? What changes will you make?Using the LEARN
headings
write a critical analyses highlighting the abstract ideas underlying your reflection. Use specific details and at least
three references
to defend your conclusions.
Criteria for Evaluation and GradingFormat:
5 pages (excluding title and reference page)
12 font Arial or Times New Roman
Double spaced
Minimum of 3-4 references
APA format (link)
Submit in a Word.doc document
LEARN HEADINGS
Look Back
Present a meaningful event
Outline event concisely
Elaborate
Summarize event in detail (what happened, who was involved, where the event occurred, your involvement)
Describe personal feelings and perceptions of self and others
Analyze
Identify
one key
issue to analyze
Use literature as a guide with at least 3 evidence based journal articles
Compare and contrast the event with knowledge acquired in reading
Discuss the new perspective (view) you have acquired through the literature
Revise
Refer back to your acquired knowledge and analysis
Explain how you would preserve or change your perspective
Discuss rationale for considering the change in your life
Suggest alternative strategies you are presently using as a result of this analysis
New Perspective
Identify recommendations for future revision of your lifestyle
Guidelines to assist reflective writing:
Occasion for reflection: (an experience – seen, read, heard)
Presents experience through use of concrete, sensory language, quotations and narrative accounts
Shows depth of thought
Indicates creativity
Reflection ( exploration and analyzes)
Reveals feelings and thoughts through presentation of the experience
Conveys evidence of a personal response to the experience
Enables reader to understand the abstract ideas underlying the reflection through use of specific detail
Demonstrates good meta-cognition
Writing Strategies
Uses convincing language and scenarios to detail reflection
Uses comparison and imagery
Enhances reflection through contrasting and explaining possibilities
Makes inferences
Develops new ways of reflecting upon nursing and nursing practice
Coherence and style:
Demonstrates insight through natural flow of ideas
P.
Critical Reflection Project
z
z
z
z
Major parts
Orient the reader
Identify the focus/purpose of the book
Outline the scope of your paper
Topic sentence 1
Discuses the theme (theme 1) with supporting details
Concluding sentence
Topic sentence 2
Discuses the theme (theme 2) with supporting details
Concluding sentence
Conclude by restating the thesis, summarizing the argument, and making application
Address the themes from biblical point of view
Paragraphs
Outline
Introduction
Body
Conclusion
z
Introduction (Example)
I am a White privileged, American, who is loved, and who is attending the college of her dreams. I live with three younger siblings who do not fit that description. We live in the same house; they are American, loved, attending an amazing high school, privileged, but what is missing? The answer is the color of their skin; I am White and they are Black. My three youngest siblings are adopted from various parts of the United States as well as Africa, and their lives are worlds apart from mine; yet, we live feet apart. I am never afraid to walk home from school or get arrested by the cops, and yet I will be walking home with my 6’0, line man sized, African American little brother and people will cross to the other side of the street. Whole families have crossed in the middle of the road to avoid passing next to us. I know for a fact most of my friends do not worry about their little brother coming home safe because he has the build of the boys you hear about on television being beaten to death—because he has the skin color of the boys on television.
The New York Times best seller, “The New Jim Crow: Mass Incarceration in the Age of Colorblindness” by Michelle Alexander works to give an explanation for the phenomenon that has been splashed across the news left and right. This movement is known as the “Black Lives Matter” movement that has the purpose of fighting back against the racism in our society: the human rights and dignity many people of color feel they are denied. There is a problem in our society that needs to be addressed because lives are on the line; and, I feel that the Black Lives Matter movement is not effectively or gracefully working to solve this problem as God intended. My purpose for this paper is to argue that our society is not seeing the new racism that is running rampant; that God did not intend for any sort of racism; and, finally conclude with our society should be called into action, especially the believers. For this paper, it will be broken up into three different sections: Michelle Alexander’s book, the corresponding Bible passages, and concluded with the application section.
z
Body (example)
“The New Jim Crow: Mass Incarceration in the Age of Colorblindness” is a book by Michelle Alexander, whose main argument is “that mass incarceration is, metaphorically, the New Jim Crow.” Some background to explain this statement is Jim Crow laws were a set of laws that barred African Americans from ha.
Critical reflection on the reading from Who Speaks for Justice, .docxwillcoxjanay
Critical reflection on the reading from
Who Speaks for Justice,
Part 5: Culture pages 161-219.
Cultural and social foundations provide no clear answers or guidance in why things are the way they are and requires students to become mindful of beliefs and patterns of behavior. Some things to think about Why instead of the What and When. What culture do you practice? Where did it come from? Are you paying attention to how culture impacts your behavior, actions and thinking? How does your culture impact others around you? Cultural and social foundations provide no clear answers or guidance in why things are the way they are and requires students to become mindful of beliefs and patterns of behavior.
.
Critical Reflection ExerciseStudents are expected to have co.docxwillcoxjanay
Critical Reflection Exercise
Students are expected to have completed the assigned readings each week and be prepared to comment critically.
Rather than providing mere summaries of course readings, students will be asked to analyze and synthesize information from the assigned readings while reflecting on their own lived experiences using personal examples, situations they observe in organizations and within their communities, and current events.
Students will submit a
three
page, double-spaced critical reflection of the assigned readings.
Assigned Readings: *
For the Second Reading, just Chapter 1 & 2
.
Critical Reading StrategiesThe University of Minnesota published.docxwillcoxjanay
Critical Reading Strategies
The University of Minnesota published a guideline on critical reading, called Critical Reading Strategies.
Click here (Links to an external site.)Links to an external site. for the document.
These guidelines suggest reading in an active and engaged way in order to analyze, evaluate, and understand texts. They recommend:
1. Identifying what you're reading for. Answer the following questions:
1. Why am I reading this text? Is it for general content? To complete a written assignment? To research information?
2. Allowing yourself enough time to read. I recommend giving yourself about one hour for every 25 pages of reading.
1. Note: Get comfortable with the feeling of struggling to read. Many of the texts we encounter this semester are very old. These readings may be obscure, difficult to understand, while reflecting cultural values that may be alien to you. I recommend paying attention to these feelings of discomfort as you read, and then using them to investigate the text further.
1. Example: You notice there is a lot of repetition in the Epic of Gilgamesh so you decide to look into it. You find out that the translation history of Epic of Gilgamesh involves a great deal of transcription from fragmented cuneiform tablets into our written text system.
3. Previewing the text. Does the text have any headings or sub-headings? If so, what are they? Does it include an introduction? If so, what does the introduction have to say? What does the text look like on the page? Literally--does it take up a lot of space? Bigger/smaller margins? Use block writing or stanzas?
4. Engaging. I cannot stress it enough: get in the habit of reading with a pen or pencil in hand. Write in the margins. Circle things you find important. Develop a notation system that reflects your thoughts or feelings as you read.
1. You may draw an angry face next to the section where Gilgamesh insults the goddess Ishtar. You might underline the stanza in which Gilgamesh and Enkidu confront the monster, Humbaba.
2. What the texts says vs what it does. Take time to summarize the text says. What is the main idea? How is the main idea supported? Now ask yourself: how does it do that? Does it use imagery? Metaphor? Repetition? Simple or complicated language?
What is World Literature?
David Damrosch is known for his extensive work in world literature and comparative literature. He is also the director of Harvard's The Institute for World Literature (Links to an external site.)Links to an external site.. In "Introduction: Goethe Coins a Phrase," Damrosch provides a brief history of world literature as a literary field, and also defines world literature in terms of translation and circulation. See below for the PDF.
Damrosch, David (Introduction--Goethe Coins a Phrase).pdf
· The concept of "world literature" as a literary field comes into the Western World through Goethe's term, weltliteratur. It's important to note that Goethe was not the first to use weltlite.
Critical Qualitative Research Designpages 70–76Related to un.docxwillcoxjanay
Critical Qualitative Research Design
pages 70–76
Related to understanding your goals as a researcher is the development of the rationale of the study. A rationale is the reason or argument for why a study matters and why the approach is appropriate to the study. Rationales can range from improving your practice and the practice of colleagues (as in practitioner research), contributing to formal theory (e.g., where there may be a gap in or lack of research in an area), understanding existing research in a new context or with a new population, and/or contributing to the methodological literature and approach to an existing corpus of research in a specific area or field. Thinking about and answering the questions in Table 3.1 can aid in this process. Considering these kinds of questions is central to developing empirical studies, and it is important to understand that these rationales and goals will also lead you to conduct different types of research, guiding your many choices—from the theories used to frame the study to the selection of various methods to the actual research questions as well as designs chosen and implemented.
There are many strategies for engaging in a structured inquiry process and through it an exploration of research goals and the overall rationale of a study. These strategies can include the writing of various kinds of memos, structured dialogic engagement processes, and reflective journaling. Across these strategies, creating the conditions and structures for regular dialogic engagement with a range of interlocutors is an absolutely vital and necessary part of refining your understanding of the goals and rationales for the research. We describe each of these strategies in the subsequent sections.
Memos on Study Goals and Rationale
Memos are important tools in qualitative research and tend to be written about a variety of different topics throughout the phases of a qualitative study. Memos are a way to capture and process, over time, your ongoing ideas and discoveries, challenges associated with fieldwork and design, and analytic sense-making. Depending on your research questions, memos can also become data sources for a study. There is no “wrong” way of writing memos, as their goal is to foster meaning making and serve as a chronicle of emerging learning and thinking. Memos tend to be informal and can be written in a variety of styles, including prose, bullet points, and/or outline form; they can include poetry, drawings, or other supporting imagery. The goals of memos are to help generate and clarify your thinking as well as to capture the development of your thinking, as a kind of phenomenological note taking that captures the meaning making of the researcher in real time and then provides data to refer back and consider the refinement of your thinking over time (Maxwell, 2013; Nakkula & Ravitch, 1998). While we find writing memos to be a useful and generative exercise, both when we write and share them in our indep.
Critical InfrastructuresThe U.S. Department of Homeland Security h.docxwillcoxjanay
Critical Infrastructures
The U.S. Department of Homeland Security has identified what is determined to be critical infrastructure assets that are designated as potentially being of terrorist interest. Although the final responsibility and mission for protecting those assets and sectors of each remains with the DHS, the initial accountability rests with local ownership and authorities.
The DHS has formulated a National Infrastructure Protection Plan to explain and describe the national responsibility. A very significant majority of the infrastructure elements are under private or corporate ownership and maintenance and must share the bulk of responsibility for protection and security under their own mission plans for security.
Assignment Guidelines
Address the following in 3–4 pages:
What is the National Infrastructure Protection Plan (NIPP)?
When was it created?
Who created it?
Why was it created? Explain.
How important is the private sector with regard to critical infrastructure protection? Why?
What types of strategies can be used for critical infrastructure protection (CIP)?
What strengths currently exist in the United States with regard to CIP? Explain.
What weaknesses still need to be addressed? Why?
How can federal agencies effectively cooperate with private sector organizations? Explain.
What types of information should be disseminated to private sector organizations that are responsible for key assets? Explain.
What types of information, if any, should be withheld from the private sector? Why?
ASSIGNMENT DUE TONIGHT 10/20/13 BY 12 CLOCK
.
Critical Infrastructure Protection
Discussion Questions: How has the federal government responded to possible terrorist attacks (mitigation) where civil liberties have not been endangered? Considering that so much of the nation’s critical infrastructure is privately owned, how has the government-regulated possible civil liberties issues related to private sector employers/employees? Can a balanced policy be implemented regarding critical infrastructure without eroding privacy, freedom of information or other civil liberties?
Minimum of 350 words
APA Style with quotation and references
.
Critical InfrastructuresIn terms of critical infrastructure and ke.docxwillcoxjanay
Critical Infrastructures
In terms of critical infrastructure and key resources (CIKR), an
asset
is a person, structure, facility, information, material, or a process that has value. For example, in the transportation sector, a bridge would be an asset.
A
network
is a group of related components that interact with each other or share information to perform a function. For example, a light rail system that crosses multiple jurisdictions in a large metropolitan area would be considered a network.
A
system
is any combination of facilities, personnel, equipment, procedures, and communications integrated for a specific purpose. For example, the U.S. interstate highways comprise a system within the transportation sector.
A
sector
consists of a logical collection of interconnected assets, systems, or networks that provide a common function to society, the economy, or the government. For example, the transportation sector consists of vast, open, accessible, interconnected systems, which include the aviation, maritime, pipeline, highway, freight rail, and mass-transit systems.
Address the following in 3–4 pages:
For each of the 18 CIKR sectors, identify 1
–
2 local examples of critical infrastructure.
Briefly describe the examples, and explain how they are operated and utilized.
Provide any information that you feel is unique to each sector.
In your local community, research the infrastructure, and identify one particular element that may be of particular interest to a terrorist or vulnerable to natural or manmade disaster.
Are there any protective measures in place to ensure its safety?
.
Critical Infrastructure Case StudyPower plants are an important .docxwillcoxjanay
Critical Infrastructure Case Study
Power plants are an important part of critical infrastructures and local, state, and national economies. Therefore, power plants need deep and multilayered access controls due to concerns over physical security. There are a number of sensitive areas that must be secured, and various employees need different levels of access to these locations. At a plant in the upper Midwest, this access is handled with identity badges that include images of the user and an RFID with their access rights. The RFID handles access through multiple levels. There is a security checkpoint at the entrance to the parking lot, and at the entrance. Both points require a badge to enter. From there the badge allows personnel to enter the facilities they are authorized to enter. It also acts as "something you have" for multipoint authentication onto secure systems. These are all standard functions for an RFID badge system. The badges also have an automatic deactivation feature, which is useful for certain personnel. Maintenance personnel, for example, do not have enhanced access and do not require access to secured areas of the site. However, the maintenance team may need access to any area of the facility regardless of its sensitivity, in the case of a breakdown or special project. To allow for this, the badges can be granted access rights that decay over time. This allows for temporary access to secure areas that is then automatically revoked over a number of hours or days. This lowers administrative time, and reduces the risk of human error in rights assignment.
.
Critical Infrastructure and a CyberattackPresidential Decisi.docxwillcoxjanay
Critical Infrastructure and a Cyberattack
Presidential Decision Directive 21 (PDD-21) identifies 16 critical infrastructures. PDD-21 lays out the national policy to maintain secure, functioning and resilient critical infrastructure. Select a critical infrastructure sector from the list below and discuss the impact that a cyberattack could have on that system or service:
Communication Sector (voice communications, digital communications, or navigation)
Energy Sector (electric power grid)
Water and Wastewater Systems Sector (water supply or sewage)
Healthcare and Public Health Sector (hospitals)
Transportation Systems Sector (rail or air)
Financial Services Sector (banking )
It is the third and fourth order effects from the cyberattack on the chosen critical infrastructure that shows the far reaching and devastating effect of a cyberattack. To demonstrate the interconnectedness of critical infrastructure, explain the cascading effects on other critical infrastructure. Then, discuss the measures DHS has taken to ensure resiliency of the selected infrastructure and the measures that need to be implemented in the future.
The Critical Infrastructure and a Cyberattack assignment
Must be three to four pages in length (excluding the title and reference pages) and formatted according to APA style as outlined in the
Ashford Writing Center (Links to an external site.)
.
Must include a
cover page (Links to an external site.)
with the following:
Title of paper
Student’s name
Course name and number
Instructor’s name
Date submitted
Must include an introductory paragraph with a succinct thesis statement. The thesis must be in both the introduction and the conclusion.
Must use at least three scholarly sources or official government sources in addition to the course text.
Must
document all sources in APA style (Links to an external site.)
as outlined in the Ashford Writing Center.
Must include a separate
references page that is formatted according to APA style (Links to an external site.)
as outlined in the Ashford Writing Center.
Carefully review the
Grading Rubric (Links to an external site.)
for the criteria that will be used to evaluate your assignment.
.
Critical Incident Protection (CIP)Plans need to have your name o.docxwillcoxjanay
Critical Incident Protection (CIP)
Plans need to have your name on them and need to include at least 2 pages describing:
•The importance of the document
•How it pertains to your residency company
•How your role in the company can help the plan be successful
Note:ASAP FORMAT
references and citations required
.
Critical Evaluation of Qualitative or Quantitative Research Stud.docxwillcoxjanay
Critical Evaluation of Qualitative or Quantitative Research Study
Read:
Stevens, K., (2013)
The impact of evidence-based practice in nursing and the next big ideas
.
OJIN: The Online Journal of Issues in Nursing
,
18
,(2), Manuscript 4. doi: 10.3912/OJIN.Vol18No02Man04
Critically evaluate either Study 3 or Study 4. Evaluate the credibility of professional citation, research design, and procedures in a research article. Include a discussion on how this study contributes to evidence-based practice.
Study 3 -
Patients’ and partners’ health-related quality of life before and 4 months after coronary artery bypass grafting surgery
Study 4 -
Striving for independence: a qualitative study of women living with vertebral fracture
Suggested Reading
Schreiber, M. L. (2016). Evidence-Based Practice.
Negative Pressure Wound Therapy
.
MEDSURG Nursing, 25
(6), 425-428.
Stevens, K., (2013)
The impact of evidence-based practice in nursing and the next big ideas
.
OJIN: The Online Journal of Issues in Nursing
,
18
,(2), Manuscript 4. doi: 10.3912/OJIN.Vol18No02Man04
Wakefield, A. (2014). Searching and critiquing the research literature.
Nursing Standard
,
28
(39), 49-57. doi:10.7748/ns.28.39.49.e8867
Chapter 6 (pp. 131-153), Chapter 7 (pp. 157-185), Chapter 8 (pp. 189-226) Chapter 12 (pp.323-350)& Chapter 13 (pp. 351-380) In Houser, J. (2018).
Nursing research: Readings, using & creating evidence
(4th ed.). Burlington, MA: Jones & Bartlett Learning
Qualitative Specific Resources
Houser, J. (2018).
Nursing research: Readings, using & creating evidence
(4th ed.). Burlington, MA: Jones & Bartlett Learning.
Chapter 9, p. 229-252
Chapter 14, p. 385-416
Chapter 15, p. 419-442
Additional Instructions:
All submissions should have a title page and reference page.
Utilize a minimum of two scholarly resources.
Adhere to grammar, spelling and punctuation criteria.
Adhere to APA compliance guidelines.
Adhere to the chosen Submission Option for Delivery of Activity guidelines.
Submission Options:
Choose One:
Instructions:
Paper
4 to 6-page paper. Include title and reference pages.
.
Critical Analysis of Phillips argument in her essay Zombie Studies.docxwillcoxjanay
Critical Analysis of Phillips' argument in her essay "Zombie Studies Gain Ground on College Campuses"
Compose a fully-developed paragraph to critically analyze Phillips' argument. Use the points you learned in the "Reading with a Critical Eye" text for your analysis. (500 words)
What are the main points Erica Phillips uses to support her argument that zombies are gaining ground on college campuses?
Who are the authorities that she presents to provide credibility to her argument.
Does she present you with facts or opinions? Is her information current?
Does her background give her any authority on the subject?
What are the strengths and weaknesses of her argument?
.
Critical Appraisal Process for Quantitative ResearchAs you cri.docxwillcoxjanay
Critical Appraisal Process for Quantitative Research
As you critically appraise studies, follow the steps of the critical appraisal process presented in Box 18-1. These steps occur in sequence, vary in depth, and presume accomplishment of the preceding steps. However, an individual with critical appraisal experience frequently performs multiple steps of this process simultaneously. This section includes the three steps of the research critical appraisal process applied to quantitative studies and provides relevant questions for each step. These questions are not comprehensive but have been selected as a means for stimulating the logical reasoning and analysis necessary for conducting a study review. Persons experienced in the critical appraisal process formulate additional questions as part of their reasoning processes. We cover the identification of the steps or elements of the research process separately because persons who are new to critical appraisal often only conduct this step. The questions for determining the study strengths and weaknesses are covered together because this process occurs simultaneously in the mind of the person conducting the critical appraisal. Evaluation is covered separately because of the increased expertise needed to perform this final step.
Step I: Identifying the Steps of the Quantitative Research Process in Studies
Initial attempts to comprehend research articles are often frustrating because the terminology and stylized manner of the report are unfamiliar. Identification of the steps of the research process in a quantitative study is the first step in critical appraisal. It involves understanding the terms and concepts in the report; identifying study elements; and grasping the nature, significance, and meaning of the study elements. The following guidelines are presented to direct
you in the initial critical appraisal of a quantitative study.
Guidelines for Identifying the Steps of the Quantitative Research Process
The first step involves reviewing the study title and abstract and reading the study from beginning to end (review the key principles in Box 18-2). As you read, address the following questions about the research report: Was the writing style of the report clear and concise? Were the different parts of the research report plainly identified (APA, 2010)? Were relevant terms defined?
You might underline the terms you do not understand and determine their meaning from the glossary at the end of this textbook. Read the article a second time and highlight or underline each step of the quantitative research process. An overview of these steps is presented in Chapter 3. To write a critical appraisal identifying the study steps, you need to identify each step concisely and respond briefly to the following guidelines and questions:
I. Introduction
A. Describe the qualifications of the authors to conduct the study, such as research expertise, clinical experience, and educational preparation. Doctoral .
Criteria
Excellent
Superior
Good
Work needed
Failing
Introduction
20 points
Engages reader's attenion. Strong, assertive stance. Gives title of story and author. Key points are presented in thesis. Has individual and creative slant
18 points
Clear thesis with key points. Gives title and author. Takes a stance on analysis of story.
16 points
Thesis general but analytical. Reader is aware from first paragraph of the author's perspective of the story.
14 points
Thesis too broad or not clear as analysis.
0 points
Needs thesis which will analyze story. Reader not clear about what to expect.
Body
20 points
Key points developed with details and examples from text. Refers to thesis concepts. Reflects authorial stance
18 points
Gives details and examples from text to analyze thesis concept.
16 points
Uses some examples from the story without much plot summary. Focuses on thesis concept.
14 points
Plot summary. Does not tie into thesis concept.
0 points
Plot summary or biography of author. Thesis not developed with details or key points.
Conclusion
15 points
Summarizes key points made in essay. Restates thesis concept in different words. Provides a sense of closure and unification.
13 points
Summarizes points made. Restates thesis concept.
11 points
Summarizes points made in body of essay. Unifies the essay without new topics introduced.
9 points
Ends abruptly. Introduces new topic into conclusion. Does not reflect information in introduction, thesis, and body.
0 points
Lacks summary of points or sense of unity in essay.
Academic tone
10 points
Semi-formal, academic tone with clear sentence structure and phrasing. Third person used throughout. No cliches, slang, or colloquialisms used.
8 points
Semi-formal, academic tone with clear sentence structure and phrasing. Third person used throughout.
6 points
Clear tone but may contain usage of first person, or occasional informal usage.
4 points
Too informal, usage of first person, and language usage does not reflect the academic reader.
0 points
Does not reflect the tone of academic writing.
Citations
25 points
Uses in-text citations accurately after examples from text. Provides Work Cited list with accurate citation(s).
22 points
Accurate in-text and Works Cited citation(s).
19 points
In-text and end citations may have errors, but show patterns given in our textbook.
17 points
Inadequate information to allow reader to find sources. Usage of URL as main citation. In-text citations missing or not accurate.
0 points
Missing or invalid.
Mechanics
10 points
Free of errors in punctuation, spelling, grammar, and sentence structure
8 points
Few errors in spelling, punctuation or grammar. Complete sentences with conventional phrasing.
7 points
Errors are too frequent, but few sentence construction problems--fragments, run on sentences or comma splices.
6 points
Too many errors. Problems with sentence constructions: fragments, fused senten.
Critical analysis of primary literature - PracticePurposeThis.docxwillcoxjanay
Critical analysis of primary literature - Practice
Purpose:
This purpose of this assignment is to critically analyze each section of one research paper, in order to gain experience dissecting, summarizing, and evaluating primary literature.
Skills:
As a result of completing this assignment, you will gain skills required to analyze and evaluate information from any source, and to apply the process of science to analyze and evaluate primary sources, including:
· Identifying and rewording hypotheses and predictions
· Evaluating experimental methods within the context of the hypotheses and predictions
· Analyzing statistical tests and describing their meaning
· Analyzing, interpreting, and summarizing Results and Interpretations, including the meaning and descriptive value of figures and tables
Tasks and Rubric:
· Select and read one of the provided papers that reports on original experimental research.
· Consider watching the Intro To Stats video lecture for help understanding the methods.
· Begin a Collaboration with me through our Canvas site (so that I may access and comment on it at any time), and complete the following analyses of the journal article:
Commentary Part 1
Focus on the Abstract and Introduction of the publication:
1. Explain in your own words why the researchers conducted this study; what is the value in studying their system? What background information is included to inform you of the relevance, importance or potential implications of the study?
2. Restate the researcher’s hypothesis and their predictions in your own words; Identify where they stated their hypothesis and predictions, and whether it was stated explicitly or implied. Did the researchers choose appropriate experiments or observations to test their hypothesis? Explain why you think so.
Commentary Part 2
Focus on the Materials and Methods:
1. In your own words, summarize the experimental methods (if there are multiple, summarize what you believe is the most important experiment).
2. Explainthe statistical method or test used to analyze their most important results: on what dataset is the statistical test applied? What is the test statistic measuring? What are the confidence limits, p-value, or R2 value, etc. and the significance level associated with the test statistic?
Commentary Part 3
Focus on the Results and Discussion:
1. Evaluate two figures or tables that visually explain the most important result: Explain what each one attempts to show. Explainhow the figures and tables do or do not help clarify the written results.
2. Evaluate the Results & Discussion: Do they match the predictions and therefore support the hypothesis, or do the results falsify the hypothesis...or do they suggest a way in which the hypothesis (or predictions) should be modified? Explain.
Additional criteria and tips. To receive 15 points, you must:
· Use no smaller than 11 point font, 0.75 inch borders.
· Use correct grammar and punctuation and adhere to Standard English sentence st.
Critical analysis of one relevant curriculum approach or model..docxwillcoxjanay
Critical analysis of one relevant curriculum approach or model.
Recommended Reading
Arce, E., & Ferguson, S. (2013). Curriculum for young children: An introduction (2n ed.). Wadsworth, CA: Cengage Learning.
Brady, L & Kennedy, K (2013). Curriculum construction (5th ed.). Australia: Pearson.
Cohen, L., & Waite-Stupiansky, S. (2013). Learning across the early childhood curriculum, UK: Emerald.
Curtis, C. (2011). Reflecting children's lives: a handbook for planning your child-centered curriculum (2nd ed.), St Paul, Minnesota: Redleaf Press.
Elias, C., & Jenkins, L. (2011). A practical guide to early childhood curriculum, 9th edn, NJ: Pearson Education.
Eliason, C., & Jenkins, L. (2012). A Practical Guide to Early Childhood Curriculum, 9th ed. New Jersey: Pearson Education
File N., Mueller, J., & Wisneski, D. (2012). Curriculum in early childhood education: re-examined, rediscovered, renewed New York: Routledge.
Fleer, M. (2013). Play in the early years, UK: Cambridge University.
Gronlund, G. (2010). Developmentally appropriate play: guiding young children to a higher level. St Paul, MN: Redleaf
Hunter, L., & Sonter, L. (2012). Progressing play: practicalities, intentions and possibilities in emerging co-constructed curriculum. Warner, QLD, Australia: Consultants at play.
Ingles, S. (2015). Developing critical skills: Interactive exercises for pre-service teachers. Kendall Hunt.
Irving, E., & Carter, C. (2018 in Press). The Child in Focus: Learning and Teaching in Early Childhood Education, Melbourne: Oxford University Press (particularly Chapter 4: Play and Play-based learning and Chapter 5: Curriculum and Pedagogy)
Kostelnik, M. J., Soderman, A. K., & Whiren, A. P. (2011). Developmentally appropriate curriculum: Best practices in early childhood education. Boston, MA: Pearson Education
Page, J.,& Taylor, C. (Eds). (2016). Learning & Teaching in the Early Years. Melbourne: Cambridge University Press.
Department of Education, Employment and Workplace Relations (DEEWR). (2009).
Belonging, being and becoming: The early years learning framework for Australia
. Australian Capital Territory, Australia: Commonwealth of Australia.
Pugh, G., & Duffy, B. (2014). Contemporary issues in the early years (6th ed.), Sage Publications, London.
Van Hoorn, J., Nourat, P.M., Scales, B., & Alward, K.R. (2015). Play at the center of curriculum (6th ed.). New Jersey, U.S.: Prentice Hall.
Wood, E. (2013). Play, learning and the early childhood curriculum (3rd ed.). London, England: Sage.
.
The Art Pastor's Guide to Sabbath | Steve ThomasonSteve Thomason
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Read| The latest issue of The Challenger is here! We are thrilled to announce that our school paper has qualified for the NATIONAL SCHOOLS PRESS CONFERENCE (NSPC) 2024. Thank you for your unwavering support and trust. Dive into the stories that made us stand out!
2024.06.01 Introducing a competency framework for languag learning materials ...Sandy Millin
http://sandymillin.wordpress.com/iateflwebinar2024
Published classroom materials form the basis of syllabuses, drive teacher professional development, and have a potentially huge influence on learners, teachers and education systems. All teachers also create their own materials, whether a few sentences on a blackboard, a highly-structured fully-realised online course, or anything in between. Despite this, the knowledge and skills needed to create effective language learning materials are rarely part of teacher training, and are mostly learnt by trial and error.
Knowledge and skills frameworks, generally called competency frameworks, for ELT teachers, trainers and managers have existed for a few years now. However, until I created one for my MA dissertation, there wasn’t one drawing together what we need to know and do to be able to effectively produce language learning materials.
This webinar will introduce you to my framework, highlighting the key competencies I identified from my research. It will also show how anybody involved in language teaching (any language, not just English!), teacher training, managing schools or developing language learning materials can benefit from using the framework.
The French Revolution, which began in 1789, was a period of radical social and political upheaval in France. It marked the decline of absolute monarchies, the rise of secular and democratic republics, and the eventual rise of Napoleon Bonaparte. This revolutionary period is crucial in understanding the transition from feudalism to modernity in Europe.
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Synthetic fiber production is a fascinating and complex field that blends chemistry, engineering, and environmental science. By understanding these aspects, students can gain a comprehensive view of synthetic fiber production, its impact on society and the environment, and the potential for future innovations. Synthetic fibers play a crucial role in modern society, impacting various aspects of daily life, industry, and the environment. ynthetic fibers are integral to modern life, offering a range of benefits from cost-effectiveness and versatility to innovative applications and performance characteristics. While they pose environmental challenges, ongoing research and development aim to create more sustainable and eco-friendly alternatives. Understanding the importance of synthetic fibers helps in appreciating their role in the economy, industry, and daily life, while also emphasizing the need for sustainable practices and innovation.
Operation “Blue Star” is the only event in the history of Independent India where the state went into war with its own people. Even after about 40 years it is not clear if it was culmination of states anger over people of the region, a political game of power or start of dictatorial chapter in the democratic setup.
The people of Punjab felt alienated from main stream due to denial of their just demands during a long democratic struggle since independence. As it happen all over the word, it led to militant struggle with great loss of lives of military, police and civilian personnel. Killing of Indira Gandhi and massacre of innocent Sikhs in Delhi and other India cities was also associated with this movement.
1. U3 IP.sav
MKTG420_U3IP.doc
Unit 3 Individual Project 1
MACROBUTTON DoFieldClick Type your Name Here
American Intercontinental University
MACROBUTTON DoFieldClick Type your Paper Title
Project Type: MKTG420 Unit 3 Individual Project
MACROBUTTON DoFieldClick Date of Submission
Abstract
This is a single paragraph, no indentation is required. The next
page will be an abstract; “a brief, comprehensive summary of
the contents of the article; it allows the readers to survey the
contents of an article quickly” (Publication Manual, 2010). The
length of this abstract should be 35-50 words (2-3 sentences).
NOTE: the abstract must be on page 2 and the body of the paper
will begin on page 3.
MACROBUTTON DoFieldClick Type your Paper Title
Introduction
Remember to always indent the first line of a paragraph (use the
tab key). The introduction should be short (2-3 sentences). The
margins, font size, spacing, and font type (italics or plain) are
set in APA format. While you may change the names of the
headings and subheadings, do not change the font.
Part 1: Research background on the scales
Introduce the concept and be sure to indent the first line of the
paragraph. Provide background on each of the 4 scales
2. (assurance, empathy, reliability and responsiveness), not limited
to a simple definition but as a measurement that aids marketers.
Discuss how the questions in the survey are transformed into
"scales" (also called "factors"). In other studies using
SERVQUAL, how many and what types of respondents were
included? Part 1 of the Individual Project should be 1 page in
length. Be sure to cite your resources.
Part 1: Concept of Scales/Factors
Introduce the concept and be sure to indent the first line of the
paragraph.
Part 1: SERVQUAL Samples
Introduce the concept and be sure to indent the first line of the
paragraph.
Part 2: (Full-Text Research) Service Quality and Segmentation
Introduce the concept and be sure to indent the first line of the
paragraph. Connect information from at least 3 articles. Do not
write and overview or critique of the articles. Synthesize and
connect the information contained to develop a solid
understanding of how service quality and segmentation are
related. Part 2 of the Individual Project should be 2 pages in
length and should be predominately from at least three articles
in AIU's full-text databases. Be sure to cite your resources.
Part 3: Null/Hypo 1, ANOVA, Decision
Attached is a small set of data that has been collected from
brand loyal customers of Store 1 and Store 2. Write out a Null
hypothesis and an alternate hypothesis for each of the 4 aspects
of service quality that are include in the analysis (assurance,
empathy, reliability and responsiveness) to see if there is a
3. difference between stores. Run 4 ANOVAs to test the Null
hypotheses. State the decision for each of the tests.
Part 3: Null/Hypo 2, ANOVA, Decision
Write out a Null hypothesis and an alternate hypothesis for each
of the 4 aspects of service quality that are include in the
analysis (assurance, empathy, reliability and responsiveness) to
see if there is a difference between stores. Run 4 ANOVAs to
test the Null hypotheses. State the decision for each of the tests.
Part 3: Null/Hypo 3, ANOVA, Decision
Write out a Null hypothesis and an alternate hypothesis for each
of the 4 aspects of service quality that are include in the
analysis (assurance, empathy, reliability and responsiveness) to
see if there is a difference between stores. Run 4 ANOVAs to
test the Null hypotheses. State the decision for each of the tests.
Part 3: Null/Hypo 4, ANOVA, Decision
Write out a Null hypothesis and an alternate hypothesis for each
of the 4 aspects of service quality that are include in the
analysis (assurance, empathy, reliability and responsiveness) to
see if there is a difference between stores. Run 4 ANOVAs to
test the Null hypotheses. State the decision for each of the tests.
Part 3: Compare ANOVA & t-test results
Compare the results from last unit's t-tests.
Part 3: Findings
You now have two types of hypothesis tests. Analyze how your
findings support or do not support what you found in the
research. It is OK if your results are different than what you
4. expected. Part 3 of the Individual Project will vary in length
based on the size of the SPSS output. Be sure to cite your
resources
Conclusion
Add some concluding remarks-can be a sentence or two.
References
NOTE: The reference list starts on a new page after your
conclusion.
U3 IP SPSS Help.pdf
Rules for Forming Hypotheses
A (alternative) hypothesis is a statement of what you believe
based on deductive
reasoning. The null hypothesis, which is the opposite of the
hypothesis, is tested in hopes
that it can be REJECTED, thereby implying the other hypothesis
can be supported (NOTICE
we do not say true, false or proven).
In journal articles, if only one hypothesis is shown, it is usually
the HYPOTHESIS. We are
really interested in the hypothesis, but the rules of statistics
dictate that we test the null
hypothesis.
You only test concepts that are measured by your Surveys (the
FACTORS**)
A survey is made up of questions. The questions will either
5. measure a demographic (a label
describing a person, thing). Examples would be gender,
education, age, tenure, etc.
OR
They are questions that when put together (either averaged or
summed) measure an
abstract concept…we call this a scale or factor score (The
individual portion of the U4 Group
Assignment).
When writing hypotheses, you do not compare on a single
question, but rather a concept or
factor/scale. If you measure a single question in a hypothesis
for the project, you will get
the whole question wrong. Each hypothesis must contain a
comparison of one of the factors
in your scale. You can compare two different factors or a factor
plus a demographic (for
example).
Wording for ANOVAs & T-Tests:
NULL: Males are the same as females with regard to
____________________.
HYPO: Males are not the same as females with regard to
____________________.
Three Possible Statements of Hypotheses
HYPOTHESIS NULL HYPOTHESIS
LOWER TAIL Less than < Greater than or equal to >/=
UPPER TAIL Greater than > Less than or equal to </=
6. TWO TAIL Not equal to =/ Equal to =
NOTE: although in advanced statistical testing, an equality
symbol may be found in either
the hypothesis or the null, it is often easier to have the equality
sign in the NULL
HYPOTHESIS. You may set it up either way, but the preferred
manner (at this stage) is stated
in the table above.
WORDING FOR DECISION RULE….
These are not tests, but words to describe the Reject/Do Not
Reject Status
p-VALUE approach
Given that the sig. (xx) is greater than the alpha (.xx), the
NULL cannot be rejected therefore
there is no support for the HYPO that (paste HYPO here)
OR
Given that the sig. (xx) is less than the alpha (.xx), the NULL is
rejected therefore there is
support for the HYPO that (paste HYPO here)
Let us NOW look for the wording of the decision rule
A TOTALLY DIFFERENT SURVEY IS BEING USED….
7. Given that the sig. xx is less than the alpha of .05, the NULL
hypothesis is rejected and
therefore there is support for the HYPO that (insert HYPO)
Given that the sig. xx is greater than the alpha of .05, the NULL
hypothesis is not rejected
and therefore there is no support for the HYPO that (insert
HYPO)
Don’t get fancy and start using words like the HYPO is
accepted or is true…just stay with
these simple phrases…and remember-there are no absolutes in
this HYPO testing
game…that is why we use the concept of SUPPORT for a
hypothesis.
NULL: Males have the same level of Overall Job Satisfaction
compared to Females. (M = F)
Males have a different level of Overall Job Satisfaction
compared to Females. (M =/
F)
Looking at the mean Job Satisfaction scores for both genders
shows that they are nearly
equal, though the standard deviation for females is much larger,
8. showing that the scores
are less consistent for females.
Given that the sig. .688 is greater than the alpha of .05, the
NULL hypothesis is not rejected
and therefore there is no support for the HYPO that Males have
a different level of Overall
Job Satisfaction compared to Females. (M =/ F).
Group Stati stics
24 2.7361 .18768 .03831
83 2.7925 .67559 .07416
Gender
Male
Femal e
Overall Job Sati sfaction
N Mean Std. Deviat ion Std. Error Mean
Independent Samples Test
37.249 .000 -.403 105 .688 -.0564 .13986 -.33371 .22092
-.676 105.0 .501 -.0564 .08347 -.22189 .10911
Equal vari ances
9. assumed
Equal vari ances
not assumed
Overall Job
Satisfacti on
F Sig.
Levene's Test
for Equal ity of
Variances
t df
Sig.
(2-tail
ed)
Mean
Differen
ce
Std.
Error
10. Differ
ence Lower Upper
95% Confi dence
Interval of the
Difference
t-t est for E qualit y of Means
We can also run an ANOVA to test this:
Given that the sig. .688 is greater than the alpha of .05, the
NULL hypothesis is not rejected
and therefore there is no support for the HYPO that Males have
a different level of Overall
Job Satisfaction compared to Females. (M =/ F).
ANOVA
Overall J ob Satisfaction
.059 1 .059 .163 .688
11. 38.237 105 .364
38.296 106
Between
Groups
Within Groups
Total
Sum of Squares df Mean Square F Sig.
U4 IP.sav
MKTG420_U4IP.doc
Unit 4 Individual Project 1
MACROBUTTON DoFieldClick Type your Name Here
American Intercontinental University
MACROBUTTON DoFieldClick Type your Paper Title
Project Type: MKTG420 Unit 4 Individual Project
MACROBUTTON DoFieldClick Date of Submission
Abstract
This is a single paragraph, no indentation is required. The next
page will be an abstract; “a brief, comprehensive summary of
the contents of the article; it allows the readers to survey the
contents of an article quickly” (Publication Manual, 2010). The
length of this abstract should be 35-50 words (2-3 sentences).
NOTE: the abstract must be on page 2 and the body of the paper
will begin on page 3.
12. MACROBUTTON DoFieldClick Type your Paper Title
Introduction
Remember to always indent the first line of a paragraph (use the
tab key). The introduction should be short (2-3 sentences). The
margins, font size, spacing, and font type (italics or plain) are
set in APA format. While you may change the names of the
headings and subheadings, do not change the font.
Store Profiles
This content is from Unit 1 IP, Part 1.
Company Research
This content is from Unit 1 IP, Part 1.
Theory-Based Research on Marketing Segmentation
This content is from Unit 1 IP, Part 2.
Cost-Benefit Analysis of Investing in Segmentation Research
This content is from Unit 1 IP, Part 2.
Results of Focus Group
This content is from Unit 2 DB Main Post.
2 SPSS Frequency Tables
13. This content is from Unit 2 DB Main Post.
Analysis of Focus Group
This content is from Unit 2 DB Main Post.
Web vs. Store #1
This content is from Unit 2 IP, Part 1.
Web vs. Store #2
This content is from Unit 2 IP, Part 1.
Rating System
This content is from Unit 2 IP, Part 1.
Store #1 Image and Target Market Fit
This content is from Unit 2 IP, Part 2.
Store #2 Image and Target Market Fit
This content is from Unit 2 IP, Part 2.
Most successful store with rationale
This content is from Unit 2 IP, Part 2.
14. Support for Improvements
This content is from Unit 2 IP, Part 3.
Three Improvements for Store #1
This content is from Unit 2 IP, Part 3.
Three Improvements for Store #2
This content is from Unit 2 IP, Part 3.
Part 1: Research on the Survey
This content is from Unit 3 IP, Part 1.
Research background on the scales
This content is from Unit 3 IP, Part 1.
SERVQUAL samples
This content is from Unit 3 IP, Part 1.
Service Quality and Segmentation
This content is from Unit 3 IP, Part 1.
15. Chart #1: Gender
INSERT CHART HERE
Description of chart #1: gender.
Insert your written description of the table pasted above.
Chart #2: xx
INSERT CHART HERE
Description of chart #2: xx.
Insert your written description of the table pasted above.
Chart #3: xx
INSERT CHART HERE
Description of chart #3: xx.
Insert your written description of the table pasted above.
Table #4: Factors
INSERT TABLE HERE
Description of table #4: factors.
Insert your written description of the table pasted above.
Null/Hypo, Independent Sample T-Test 1, Decision
From Unit 2 IP, Part 2
Null/Hypo, Independent Sample T-Test 2, Decision
From Unit 2 IP, Part 2
Null/Hypo, Independent Sample T-Test 3, Decision
From Unit 2 IP, Part 2
16. Null/Hypo, Independent Sample T-Test 4, Decision
From Unit 2 IP, Part 2
Null/Hypo, ANOVA 1, Decision
From Unit 3 IP, part 3
Null/Hypo, ANOVA 2, Decision
From Unit 3 IP, part 3
Null/Hypo, ANOVA 3, Decision
From Unit 3 IP, part 3
Null/Hypo, ANOVA 4, Decision
From Unit 3 IP, part 3
Compare ANOVA & t-test results
From Unit 3 IP, part 3
Hypothesis Test -Correlation #1
Null and alternate hypotheses.
Write out a Null & Alternate Hypothesis (alpha = .05).
The test.
Run the test and paste it in the document
The decision rule.
17. State the decision rule.
Hypothesis Test -Correlation #2
Null and alternate hypotheses.
Write out a Null & Alternate Hypothesis (alpha = .05).
The test.
Run the test and paste it in the document
The decision rule.
State the decision rule.
Hypothesis Test -Regression #1
Null and alternate hypotheses.
Write out a Null & Alternate Hypothesis (alpha = .05).
The test.
Run the test and paste it in the document
The decision rule.
State the decision rule.
Hypothesis Test -Regression #1
Null and alternate hypotheses.
Write out a Null & Alternate Hypothesis (alpha = .05).
18. The test.
Run the test and paste it in the document
The decision rule.
State the decision rule.
Compare Correlation, Regression, ANOVA and t-Test Results
From Unit 3 IP, part 3
Findings and Segmentation Applications
You now have used qualitative and quantitative tools to assess
service quality and segmentation in the stores. How can a
marketing manager use these results to build a segmentation
strategy in one of the target stores. Part 3 of the Individual
Project will be 1 page in length.
Conclusion
Add some concluding remarks-can be a sentence or two.
References
NOTE: The reference list starts on a new page after your
conclusion.
U4 IP SPSS Help.pdf
Rules for Forming Hypotheses
A (alternative) hypothesis is a statement of what you believe
19. based on deductive
reasoning. The null hypothesis, which is the opposite of the
hypothesis, is tested in hopes
that it can be REJECTED, thereby implying the other hypothesis
can be supported (NOTICE
we do not say true, false or proven).
In journal articles, if only one hypothesis is shown, it is usually
the HYPOTHESIS. We are
really interested in the hypothesis, but the rules of statistics
dictate that we test the null
hypothesis.
You only test concepts that are measured by your Surveys (the
FACTORS**)
A survey is made up of questions. The questions will either
measure a demographic (a label
describing a person, thing). Examples would be gender,
education, age, tenure, etc.
OR
They are questions that when put together (either averaged or
summed) measure an
abstract concept…we call this a scale or factor score (The
individual portion of the U4 Group
Assignment).
When writing hypotheses, you do not compare on a single
question, but rather a concept or
factor/scale. If you measure a single question in a hypothesis
for the project, you will get
the whole question wrong. Each hypothesis must contain a
comparison of one of the factors
in your scale. You can compare two different factors or a factor
plus a demographic (for
example).
20. Wording for Correlations & Regressions:
NULL: This is no relationship (correlation) between
_____________________ and gender.
HYPO: This is a relationship between (correlation)
_____________________ and gender.
more than one factor
compared.
WORDING FOR DECISION RULE….
These are not tests, but words to describe the Reject/Do Not
Reject Status
p-VALUE approach
Given that the sig. (xx) is greater than the alpha (.xx), the
NULL cannot be rejected therefore
there is no support for the HYPO that (paste HYPO here)
OR
Given that the sig. (xx) is less than the alpha (.xx), the NULL is
rejected therefore there is
support for the HYPO that (paste HYPO here)
Let us NOW look for the wording of the decision rule
A TOTALLY DIFFERENT SURVEY IS BEING USED….
21. Given that the sig. xx is less than the alpha of .05, the NULL
hypothesis is rejected and
therefore there is support for the HYPO that (insert HYPO)
Given that the sig. xx is greater than the alpha of .05, the NULL
hypothesis is not rejected
and therefore there is no support for the HYPO that (insert
HYPO)
Don’t get fancy and start using words like the HYPO is
accepted or is true…just stay with
these simple phrases…and remember-there are no absolutes in
this HYPO testing
game…that is why we use the concept of SUPPORT for a
hypothesis.
CORRELATION:
"Flag Significant Correlations"- this is a great tool since it tells
you when to reject!!
REGRESSION
22. FYI- when you run a regression, be sure to request an ANOVA
table under options. This way
you know when to reject!
