PSY 870 Module 7 Problem SetOptimism and LongevityA cancer sp.docx
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PSY 870: Module 7 Problem Set Optimism and Longevity A cancer specialist from the Los Angeles County General Hospital (LACGH) rated patient optimism in 20- to 40-year-old male patients with incurable cancer in 1970. In 1990, the researcher examined hospital records to gather the following data: · Socioeconomic status (1–7 rating of occupation; higher ratings indicate higher levels of SES) · Age in 1970 · Optimism in 1970 (1–100 rating, higher scores indicate higher levels of optimism) · Longevity (years lived after the 1970 diagnosis) Using the SPSS data file for Module 7 (located in Topic Materials ), calculate a simultaneous multiple regression with SES, age, and optimism as the independent variables and longevity as the dependent variable. 1. Do the independent variables correlate statistically significantly and practically with the dependent variable? 2. Is collinearity between the independent variables a concern? 3. What is the R and adjusted R -square for all independent variables entered simultaneously? 4. What variable(s) provide a significant unique contribution(s)? 5. Compose a results section for this statistical analysis. .
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College of Doctoral StudiesPSY 870 Module 7 Problem.docx
College of Doctoral Studies
PSY 870: Module 7 Problem Set
Optimism and Longevity
A cancer specialist from the Los Angeles County General Hospital (LACGH) rated patient optimism in 20- to 40-year-old male patients with incurable cancer in 1970. In 1990, the researcher examined hospital records to gather the following data:
· Socioeconomic status (1–7 rating of occupation; higher ratings indicate higher levels of SES)
· Age in 1970
· Optimism in 1970 (1–100 rating, higher scores indicate higher levels of optimism)
· Longevity (years lived after the 1970 diagnosis)
Using the SPSS data file for Module 7 (located in Topic Materials), calculate a simultaneous multiple regression with SES, age, and optimism as the independent variables and longevity as the dependent variable.
1. Do the independent variables correlate statistically significantly and practically with the dependent variable?
2. Is collinearity between the independent variables a concern?
3. What is the R and adjusted R-square for all independent variables entered simultaneously?
4. What variable(s) provide a significant unique contribution(s)?
5. Compose a results section for this statistical analysis.
© 2012. Grand Canyon University. All Rights Reserved.
...
Optimism and LongevityA cancer specialist from the Los Angeles.docx
Optimism and Longevity
A cancer specialist from the Los Angeles County General Hospital (LACGH) rated patient optimism in 20- to 40-year-old male patients with incurable cancer in 1970. In 1990, the researcher examined hospital records to gather the following data:
·
Socioeconomic status (1–7 rating of occupation; higher ratings indicate higher levels of SES)
·
Age in 1970
·
Optimism in 1970 (1–100 rating, higher scores indicate higher levels of optimism)
·
Longevity (years lived after the 1970 diagnosis)
Using the SPSS data file for Module 7 (located in Topic Materials
), calculate a simultaneous multiple regression with SES, age, and optimism as the independent variables and longevity as the dependent variable.
1.
Do the independent variables correlate statistically significantly and practically with the dependent variable?
2.
Is collinearity between the independent variables a concern?
3.
What is the
R
and adjusted
R
-square for all independent variables entered simultaneously?
4.
What variable(s) provide a significant unique contribution(s)?
5.
Compose a results section for this statistical analysis.
.
Optimism and LongevityA cancer specialist from the Los Angeles Cou.docx
Optimism and Longevity
A cancer specialist from the Los Angeles County General Hospital (LACGH) rated patient optimism in 20- to 40-year-old male patients with incurable cancer in 1970. In 1990, the researcher examined hospital records to gather the following data:
·
Socioeconomic status (1–7 rating of occupation; higher ratings indicate higher levels of SES)
·
Age in 1970
·
Optimism in 1970 (1–100 rating, higher scores indicate higher levels of optimism)
·
Longevity (years lived after the 1970 diagnosis)
Using the SPSS data file for Module 7 (located in Topic Materials), calculate a simultaneous multiple regression with SES, age, and optimism as the independent variables and longevity as the dependent variable.
1.
Do the independent variables correlate statistically significantly and practically with the dependent variable?
2.
Is collinearity between the independent variables a concern?
3.
What is the
R
and adjusted
R
-square for all independent variables entered simultaneously?
4.
What variable(s) provide a significant unique contribution(s)?
5.
Compose a results section for this statistical analysis.
.
Ch5BData.savQuestion.docxPSY 870 Module 7 Problem Set.docx
Ch5BData.sav
Question.docx
PSY 870: Module 7 Problem Set
Optimism and Longevity
A cancer specialist from the Los Angeles County General Hospital (LACGH) rated patient optimism in 20- to 40-year-old male patients with incurable cancer in 1970. In 1990, the researcher examined hospital records to gather the following data:
· Socioeconomic status (1–7 rating of occupation; higher ratings indicate higher levels of SES)
· Age in 1970
· Optimism in 1970 (1–100 rating, higher scores indicate higher levels of optimism)
· Longevity (years lived after the 1970 diagnosis)
Using the SPSS data file for Module 7 (located in Topic Materials), calculate a simultaneous multiple regression with SES, age, and optimism as the independent variables and longevity as the dependent variable.
1. Do the independent variables correlate statistically significantly and practically with the dependent variable?
2. Is collinearity between the independent variables a concern?
3. What is the R and adjusted R-square for all independent variables entered simultaneously?
4. What variable(s) provide a significant unique contribution(s)?
5. Compose a results section for this statistical analysis.
© 2012. Grand Canyon University. All Rights Reserved.
...
Log reg pdf.pdf
Logistic regression will be used to predict whether homeowners will take or decline a solar panel offer based on household income, monthly mortgage, and other variables. The dependent variable is dichotomous (take offer=1, decline offer=0). Independent variables include household income and monthly mortgage. The research question is whether these two variables can predict taking or declining the offer. Logistic regression is appropriate because it can handle dichotomous dependent variables and makes no assumptions about the distributions of predictor variables. The model will be assessed to test if it is a good fit for the data.
Multiple Regression and Logistic Regression
1) Multiple Regression to predict Life Expectancy using independent variables Lifeexpectancymale, Lifeexpectancyfemale, Adultswhosmoke, Bingedrinkingadults, Healthyeatingadults and Physicallyactiveadults.
2) Binomial Logistic Regression to predict the Gender (0 - Male, 1 - Female) with the help of independent variables such as LifeExpectancy, Smokingadults, DrinkingAdults, Physicallyactiveadults and Healthyeatingadults.
Tools used:
> RStudio for Data pre-processing and exploratory data analysis
> SPSS for building the models
> LATEX for documentation
2. Joint analysis - TNO
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Lecture 1 Biostatistics Introduciton.pptx
This document provides an introduction to biostatistics. It defines key biostatistics terms like statistics, biostatistics, population, sample, parameter, and statistic. It also differentiates between descriptive and inferential statistics. Additionally, it discusses important biostatistics concepts like types of variables, levels of measurement scales, sources of data collection, and examples of each. The goal is to help learners understand the basic principles and applications of biostatistics in health research.
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College of Doctoral StudiesPSY 870 Module 7 Problem.docx
College of Doctoral Studies
PSY 870: Module 7 Problem Set
Optimism and Longevity
A cancer specialist from the Los Angeles County General Hospital (LACGH) rated patient optimism in 20- to 40-year-old male patients with incurable cancer in 1970. In 1990, the researcher examined hospital records to gather the following data:
· Socioeconomic status (1–7 rating of occupation; higher ratings indicate higher levels of SES)
· Age in 1970
· Optimism in 1970 (1–100 rating, higher scores indicate higher levels of optimism)
· Longevity (years lived after the 1970 diagnosis)
Using the SPSS data file for Module 7 (located in Topic Materials), calculate a simultaneous multiple regression with SES, age, and optimism as the independent variables and longevity as the dependent variable.
1. Do the independent variables correlate statistically significantly and practically with the dependent variable?
2. Is collinearity between the independent variables a concern?
3. What is the R and adjusted R-square for all independent variables entered simultaneously?
4. What variable(s) provide a significant unique contribution(s)?
5. Compose a results section for this statistical analysis.
© 2012. Grand Canyon University. All Rights Reserved.
...
Optimism and LongevityA cancer specialist from the Los Angeles.docx
Optimism and Longevity
A cancer specialist from the Los Angeles County General Hospital (LACGH) rated patient optimism in 20- to 40-year-old male patients with incurable cancer in 1970. In 1990, the researcher examined hospital records to gather the following data:
·
Socioeconomic status (1–7 rating of occupation; higher ratings indicate higher levels of SES)
·
Age in 1970
·
Optimism in 1970 (1–100 rating, higher scores indicate higher levels of optimism)
·
Longevity (years lived after the 1970 diagnosis)
Using the SPSS data file for Module 7 (located in Topic Materials
), calculate a simultaneous multiple regression with SES, age, and optimism as the independent variables and longevity as the dependent variable.
1.
Do the independent variables correlate statistically significantly and practically with the dependent variable?
2.
Is collinearity between the independent variables a concern?
3.
What is the
R
and adjusted
R
-square for all independent variables entered simultaneously?
4.
What variable(s) provide a significant unique contribution(s)?
5.
Compose a results section for this statistical analysis.
.
Optimism and LongevityA cancer specialist from the Los Angeles Cou.docx
Optimism and Longevity
A cancer specialist from the Los Angeles County General Hospital (LACGH) rated patient optimism in 20- to 40-year-old male patients with incurable cancer in 1970. In 1990, the researcher examined hospital records to gather the following data:
·
Socioeconomic status (1–7 rating of occupation; higher ratings indicate higher levels of SES)
·
Age in 1970
·
Optimism in 1970 (1–100 rating, higher scores indicate higher levels of optimism)
·
Longevity (years lived after the 1970 diagnosis)
Using the SPSS data file for Module 7 (located in Topic Materials), calculate a simultaneous multiple regression with SES, age, and optimism as the independent variables and longevity as the dependent variable.
1.
Do the independent variables correlate statistically significantly and practically with the dependent variable?
2.
Is collinearity between the independent variables a concern?
3.
What is the
R
and adjusted
R
-square for all independent variables entered simultaneously?
4.
What variable(s) provide a significant unique contribution(s)?
5.
Compose a results section for this statistical analysis.
.
Ch5BData.savQuestion.docxPSY 870 Module 7 Problem Set.docx
Ch5BData.sav
Question.docx
PSY 870: Module 7 Problem Set
Optimism and Longevity
A cancer specialist from the Los Angeles County General Hospital (LACGH) rated patient optimism in 20- to 40-year-old male patients with incurable cancer in 1970. In 1990, the researcher examined hospital records to gather the following data:
· Socioeconomic status (1–7 rating of occupation; higher ratings indicate higher levels of SES)
· Age in 1970
· Optimism in 1970 (1–100 rating, higher scores indicate higher levels of optimism)
· Longevity (years lived after the 1970 diagnosis)
Using the SPSS data file for Module 7 (located in Topic Materials), calculate a simultaneous multiple regression with SES, age, and optimism as the independent variables and longevity as the dependent variable.
1. Do the independent variables correlate statistically significantly and practically with the dependent variable?
2. Is collinearity between the independent variables a concern?
3. What is the R and adjusted R-square for all independent variables entered simultaneously?
4. What variable(s) provide a significant unique contribution(s)?
5. Compose a results section for this statistical analysis.
© 2012. Grand Canyon University. All Rights Reserved.
...
Log reg pdf.pdf
Logistic regression will be used to predict whether homeowners will take or decline a solar panel offer based on household income, monthly mortgage, and other variables. The dependent variable is dichotomous (take offer=1, decline offer=0). Independent variables include household income and monthly mortgage. The research question is whether these two variables can predict taking or declining the offer. Logistic regression is appropriate because it can handle dichotomous dependent variables and makes no assumptions about the distributions of predictor variables. The model will be assessed to test if it is a good fit for the data.
Multiple Regression and Logistic Regression
1) Multiple Regression to predict Life Expectancy using independent variables Lifeexpectancymale, Lifeexpectancyfemale, Adultswhosmoke, Bingedrinkingadults, Healthyeatingadults and Physicallyactiveadults.
2) Binomial Logistic Regression to predict the Gender (0 - Male, 1 - Female) with the help of independent variables such as LifeExpectancy, Smokingadults, DrinkingAdults, Physicallyactiveadults and Healthyeatingadults.
Tools used:
> RStudio for Data pre-processing and exploratory data analysis
> SPSS for building the models
> LATEX for documentation
2. Joint analysis - TNO
Presentation from the online workshop: Statistical Needs for Research in Social Sciences, 29.03.2021
Lecture 1 Biostatistics Introduciton.pptx
This document provides an introduction to biostatistics. It defines key biostatistics terms like statistics, biostatistics, population, sample, parameter, and statistic. It also differentiates between descriptive and inferential statistics. Additionally, it discusses important biostatistics concepts like types of variables, levels of measurement scales, sources of data collection, and examples of each. The goal is to help learners understand the basic principles and applications of biostatistics in health research.
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1. What is a codebook? Who might create one, what would she or he include in it, and what purpose or purposes would it serve?
2. Explain the distinction between variable labels and value labels in an electronic dataset.
3. True or False: The linear regression model cannot handle curvilinear relationships between independent and dependent variables.
4. True or False: By convention, if we conduct a statistical hypothesis test and obtain a p-value of .3, we would reject the null hypothesis.
5. Suppose you have two SPSS datasets. The first contains the variables ID, X1, X2, and X3 for participants 1 through 100; the second contains the variables ID, X4, X5, and X6 for the same 100 participants. Suppose that the datasets are named EvalPre.sav and EvalPost.sav, and are saved on your computer in following file location:
C:\Documents and Settings\Evaluation\EvalData\
And suppose, finally, that you want to combine these datasets to create a new dataset, to be named EvalPrePost.sav, containing ID and X1 through X6 for all 100 participants. What SPSS syntax would you use to accomplish this?
6. A research team is studying cognitive decline in old age. They collect data on 300 people between the ages of 75 and 95 years. One of the key variables is a measure of one particular aspect of cognitive functioning: Executive function (named EXFUNC in the dataset). For this study it is measured using a test that produces values ranging from 0 to 100, with higher values representing better executive function. The investigators fit a linear regression model to their data and obtain the following estimated model:
EXFUNCi = 161.73 – 1.05AGEi + ei
According to this model, by how many points does the typical score on the executive function scale decline between age 80 and 90?
7. Suppose your boss gives you a dataset and asks you to run frequencies on the variables X1 and X4, and descriptive statistics on the variables X2, X3, X5, and X6. What SPSS syntax would you use to accomplish this task? (Please present only the command(s) that generate the frequencies and descriptive statistics.)
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9. An investigator interested in regional differences in breastfeeding attitudes and practices conducts a national survey. The survey includes a multi-item instrument measuring breastfeeding attitudes. The resulting breastfeeding attitudes scale takes values ranging from 1 to 5, with higher numbers representing more favorable attitudes toward breastfeeding. This scale score is name ...
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DUE 1162017 10 P.M ESTTHIS IS A 4 PART HIV SPSS PROJECT. ATTAC.docx
DUE 11/6/2017 10 P.M EST
THIS IS A 4 PART HIV SPSS PROJECT. ATTACHED IS THE PREVIOUS PARTS. PLEASE READ IT ALL. WHEN YOU GENERATE IT, I’M SURE IT WILL BE A LITTLE DIFFERENT BUT THAT’S O.K.. THE ANALYSIS IS ALSO ATTACHED.
For your Final Project submission, you have the opportunity to share the significance of your results in the practice of public health. With your disease and data in mind, integrate instructor and peer feedback you have received throughout the course, in completing your statistical analyses.
The Assignment: (7 PAGES)
· Section I: Introduction (3 pages)
· Brief description of your identified disease
· Summary of other studies that directly relate to your identified disease outcome (Note: This is essentially the Literature Review you submitted in Week 6. There is no need to include the Annotated Bibliography as well since it was developed into your Literature Review.)
· Statement of the Problem/Research question
· Written statements for both your null and alternative/research hypothesis
· Brief description of the significance of why this disease is important for examination
·
· Section II: Methodology (1 page)
· Brief description of the study sample
· Description of the data gathering methods for your variables of interest
· Explanation of the types of statistical analyses you conducted and why
·
· Section III: Results (2 PAGES)
· Description of the steps you took to conduct your statistical analyses
· Summary of your statistical findings
· Narrative description
· Tables and graphs (Be careful—too many tables and graphs decreases clarity)
·
· Section IV: Conclusions and Discussion (1 PAGE
· Explanation of your major results (Be sure to answer your research question.)
· If appropriate, report on statistical significance (or not) of your results; including any relationship between your variables of interest.
· Social change implications of your results for the population that was sampled from.
· Suggestions for future research.
· Appendices
· SPSS Codebook
· Syntax Code (step-by-step instructions of how to run the different analyses)
· References
Include 4–6 peer-reviewed resources.
Be sure to follow APA format.
FINAL PROJECT: TOPIC, STATEMENT OF PROBLEM, AND ANNOTATED BIOGRAPHY
(DIRECTIONS) As a public health professional, you may research many areas of interest. For example, in studying how economics affects global health, what variables might you consider? In examining these variables, you may consider the significance of why this issue is essential for analysis.
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WEEK 7 – EXERCISES Enter your answers in the spaces pr.docx
WEEK 7 – EXERCISES
Enter your answers in the spaces provided. Save the file using your last name as the beginning of the file name (e.g., ruf_week6_exercises) and submit via “Assignments.” When appropriate,
show your work
. You can do the work by hand, scan/take a digital picture, and attach that file with your work.
A sports researcher gave a standard written test of eating habits to 12 randomly selected professionals, four each from baseball, football, and basketball. The results were as follows:
Eating Habits Scores
Baseball Players
Football Players
Basketball Players
34
27
35
18
28
44
21
67
47
65
42
61
Is there a difference in eating habits among professionals in the three sports? (Use the .05 significance level.)
a.
Use the five steps of hypothesis testing.
b.
Sketch the distribution involved.
c.
Determine effect size.
2.
To study the effectiveness of treatments for insomnia, a sleep researcher conducted a study with 12 participants.
Four participants were instructed to count sheep (Sheep Condition), four were told to concentrate on their breathing (Breathing Condition), and four were not given any special instructions. Over the next few days, measures were taken of how many minutes it took each participant to fall asleep. The average times for the participants in the Sheep Condition were 14, 28, 27, and 31; for those in the Breathing Condition, 25, 22, 17, and 14; and for those in the control condition, 45, 33, 30, and 41.
Do these results suggest that the different techniques have different effects?
(Use the .05 significance level.)
a.
Use the five steps of hypothesis testing.
b.
Sketch the distribution involved.
c.
Figure the effect size of the study.
d.
Explain your findings (including the logic of comparing within-group to between-group population variance estimates, how each of these is figured, and the
F
distribution).
High school juniors planning to attend college were randomly assigned to view one of four videos about a particular college, each differing according to what aspect of college life was emphasized: athletics, social life, scholarship, or artistic/cultural opportunities. After viewing the videos, the students took a test measuring their desire to attend this college. The results were as follows:
Desire to Attend this College
Athletics
Social Life
Scholarship
Art/Cultural
68
89
74
76
56
78
82
71
69
81
79
69
70
77
80
65
Do these results suggest that the type of activity emphasized in a college film affects desire to attend that college? (Use the .01 significance level.)
a.
Use the five steps of hypothesis testing.
b.
Sketch the distribution involved.
c.
Figure the effect size of the study.
d.
Explain the logic of what you have done to a person who is unfamiliar with the analysis of variance.
A team of psychologists designed a study in which 12 psychiatric patients diagnosed as having generalized anxiety disorder were randomly assigned to one of three new types of th.
Community Health Center EfficiencyThe Role of Grant Revenue.docx
Community Health Center Efficiency:
The Role of Grant Revenues in Health
Center Efficiency
Peter R. Amico, Jon A. Chilingerian, and Martijn van Hasselt
Objective. To test the relationship between external environments, organizational
characteristics, and technical efficiency in federally qualified health centers (FQHCs).
We tested the relationship between grant revenue and technical efficiency in FQHCs.
Data Sources/Study Design. Secondary data were collected in each year from the
Uniform Data System (UDS) on 644 eligible U.S.-based FQHCs between 2005 and
2007. The study employs a retrospective longitudinal cohort design with instrumental
variables.
Principal Findings. Increased grant revenues did not increase the probability that a
health center would be on the efficiency frontier. However, increased grant revenues
had a negative association with technical efficiency for health centers that were not fully
efficient.
Conclusion. If all health centers were operating efficiently, anywhere from 39 to
45 million patient encounters could have been delivered instead of the actual total of
29 million in 2007. Policy makers should consider tying grant revenues to performance
indicators, and future work is needed to understand the mechanisms through which
diseconomies of scale are present in FQHCs.
Key Words. Efficiency, grants, FQHCs, primary care, health reform
Federally qualified health centers (FQHCs) were established to provide acces-
sible, affordable, and high-quality health care for all (Lefkowitz 2007; Mass
League 2011). FQHCs are nonprofit or private clinics that are located in medi-
cally underserved communities or in other locations where they provide care
for medically underserved populations. They provide care regardless of
patients’ ability to pay, offering a sliding fee scale for the poor and uninsured,
and are governed by a board that is comprised of a majority of members who
are also health center patients (94th U.S. Congress 1975). They grew from a
two-site demonstration in the 1960s to the largest primary care network in the
United States with over 6,500 sites (Mass League 2011). In 2010, FQHCs
© Health Research and Educational Trust
DOI: 10.1111/1475-6773.12106
RESEARCH ARTICLE
666
Health Services Research
served more than 19 million patients and have established themselves as a
critical provider of health care for the nation’s most vulnerable people. In
2010, the Patient Protection and Affordable Care Act (ACA) provided
FQHCs an additional $11 billion over the next 5 years, and they are expected
to double their covered population by 2015 (Arvantes 2010; Katz et al. 2011;
Kotelchuck, Lowenstein, and Tobin 2011). Now, more than 1 of every 17
Americans receives care in these centers. Although the importance of these
centers is without question, evidence is lacking regarding their efficiency in
delivering care.
To examine the determinants of technical efficiency in FQHCs, a theo-
retical framework was developed using resourc.
2 coments each one 150 words AND.pdf
The document discusses independent and dependent variables in evidence-based projects. It provides an example where the independent variable is the dose of a drug administered and the dependent variable is the frequency and intensity of symptoms. For an EBP project on a discharge education checklist for heart failure patients, the dependent variable would be the rate of readmission, while independent variables would include age, gender, marital status, education level, and financial status. Collecting these independent variables is necessary when assessing factors like health literacy that could influence readmission rates.
2 coments each one 150 words AND.pdf
The document discusses independent and dependent variables in evidence-based projects. It provides an example where the independent variable is the dose of a drug and the dependent variable is the frequency and intensity of symptoms. For an EBP project on a discharge education checklist for heart failure patients, the dependent variable would be the rate of readmission, while independent variables would include age, gender, marital status, education level, and financial status. Collecting these independent variables is necessary when assessing factors like health literacy that could influence readmission rates.
Chapter 1 introduction to statistics.
a) Experimental
b) Observational
The study in a) manipulates one variable (giving one group a herb vs placebo) and observes the effect on another variable (respiratory tract infections), making it an experimental study.
The study in b) passively observes behaviors or events without manipulation, making it an observational study.
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Q1- C
alculate the Sum, Wrapped Sum and Checksum from the following header values.
a. Version number = 4, Header Length = 12, Service Type = 0, Total Length = 28
b. Identification = 56781, Flags = reset, Fragmentation offset = 0
c. Time-to-live = 8, Protocol = OSPF, Header Checksum = 0
d. Source IP address = 10.10.5.6
e. Destination address = 10.10.10.10
Q2- Why do we need care-of address? How it works?
.
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Q1:
Write a function in PHP that receives a number as an input and returns true if the number is a prime number, and false if it is not prime.
Note: A prime number is a natural number greater than 1 that has no positive divisors other than 1 and itself.
.
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DUE 1162017 10 P.M ESTTHIS IS A 4 PART HIV SPSS PROJECT. ATTAC.docx
DUE 11/6/2017 10 P.M EST
THIS IS A 4 PART HIV SPSS PROJECT. ATTACHED IS THE PREVIOUS PARTS. PLEASE READ IT ALL. WHEN YOU GENERATE IT, I’M SURE IT WILL BE A LITTLE DIFFERENT BUT THAT’S O.K.. THE ANALYSIS IS ALSO ATTACHED.
For your Final Project submission, you have the opportunity to share the significance of your results in the practice of public health. With your disease and data in mind, integrate instructor and peer feedback you have received throughout the course, in completing your statistical analyses.
The Assignment: (7 PAGES)
· Section I: Introduction (3 pages)
· Brief description of your identified disease
· Summary of other studies that directly relate to your identified disease outcome (Note: This is essentially the Literature Review you submitted in Week 6. There is no need to include the Annotated Bibliography as well since it was developed into your Literature Review.)
· Statement of the Problem/Research question
· Written statements for both your null and alternative/research hypothesis
· Brief description of the significance of why this disease is important for examination
·
· Section II: Methodology (1 page)
· Brief description of the study sample
· Description of the data gathering methods for your variables of interest
· Explanation of the types of statistical analyses you conducted and why
·
· Section III: Results (2 PAGES)
· Description of the steps you took to conduct your statistical analyses
· Summary of your statistical findings
· Narrative description
· Tables and graphs (Be careful—too many tables and graphs decreases clarity)
·
· Section IV: Conclusions and Discussion (1 PAGE
· Explanation of your major results (Be sure to answer your research question.)
· If appropriate, report on statistical significance (or not) of your results; including any relationship between your variables of interest.
· Social change implications of your results for the population that was sampled from.
· Suggestions for future research.
· Appendices
· SPSS Codebook
· Syntax Code (step-by-step instructions of how to run the different analyses)
· References
Include 4–6 peer-reviewed resources.
Be sure to follow APA format.
FINAL PROJECT: TOPIC, STATEMENT OF PROBLEM, AND ANNOTATED BIOGRAPHY
(DIRECTIONS) As a public health professional, you may research many areas of interest. For example, in studying how economics affects global health, what variables might you consider? In examining these variables, you may consider the significance of why this issue is essential for analysis.
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WEEK 7 – EXERCISES Enter your answers in the spaces pr.docx
WEEK 7 – EXERCISES
Enter your answers in the spaces provided. Save the file using your last name as the beginning of the file name (e.g., ruf_week6_exercises) and submit via “Assignments.” When appropriate,
show your work
. You can do the work by hand, scan/take a digital picture, and attach that file with your work.
A sports researcher gave a standard written test of eating habits to 12 randomly selected professionals, four each from baseball, football, and basketball. The results were as follows:
Eating Habits Scores
Baseball Players
Football Players
Basketball Players
34
27
35
18
28
44
21
67
47
65
42
61
Is there a difference in eating habits among professionals in the three sports? (Use the .05 significance level.)
a.
Use the five steps of hypothesis testing.
b.
Sketch the distribution involved.
c.
Determine effect size.
2.
To study the effectiveness of treatments for insomnia, a sleep researcher conducted a study with 12 participants.
Four participants were instructed to count sheep (Sheep Condition), four were told to concentrate on their breathing (Breathing Condition), and four were not given any special instructions. Over the next few days, measures were taken of how many minutes it took each participant to fall asleep. The average times for the participants in the Sheep Condition were 14, 28, 27, and 31; for those in the Breathing Condition, 25, 22, 17, and 14; and for those in the control condition, 45, 33, 30, and 41.
Do these results suggest that the different techniques have different effects?
(Use the .05 significance level.)
a.
Use the five steps of hypothesis testing.
b.
Sketch the distribution involved.
c.
Figure the effect size of the study.
d.
Explain your findings (including the logic of comparing within-group to between-group population variance estimates, how each of these is figured, and the
F
distribution).
High school juniors planning to attend college were randomly assigned to view one of four videos about a particular college, each differing according to what aspect of college life was emphasized: athletics, social life, scholarship, or artistic/cultural opportunities. After viewing the videos, the students took a test measuring their desire to attend this college. The results were as follows:
Desire to Attend this College
Athletics
Social Life
Scholarship
Art/Cultural
68
89
74
76
56
78
82
71
69
81
79
69
70
77
80
65
Do these results suggest that the type of activity emphasized in a college film affects desire to attend that college? (Use the .01 significance level.)
a.
Use the five steps of hypothesis testing.
b.
Sketch the distribution involved.
c.
Figure the effect size of the study.
d.
Explain the logic of what you have done to a person who is unfamiliar with the analysis of variance.
A team of psychologists designed a study in which 12 psychiatric patients diagnosed as having generalized anxiety disorder were randomly assigned to one of three new types of th.
Community Health Center EfficiencyThe Role of Grant Revenue.docx
Community Health Center Efficiency:
The Role of Grant Revenues in Health
Center Efficiency
Peter R. Amico, Jon A. Chilingerian, and Martijn van Hasselt
Objective. To test the relationship between external environments, organizational
characteristics, and technical efficiency in federally qualified health centers (FQHCs).
We tested the relationship between grant revenue and technical efficiency in FQHCs.
Data Sources/Study Design. Secondary data were collected in each year from the
Uniform Data System (UDS) on 644 eligible U.S.-based FQHCs between 2005 and
2007. The study employs a retrospective longitudinal cohort design with instrumental
variables.
Principal Findings. Increased grant revenues did not increase the probability that a
health center would be on the efficiency frontier. However, increased grant revenues
had a negative association with technical efficiency for health centers that were not fully
efficient.
Conclusion. If all health centers were operating efficiently, anywhere from 39 to
45 million patient encounters could have been delivered instead of the actual total of
29 million in 2007. Policy makers should consider tying grant revenues to performance
indicators, and future work is needed to understand the mechanisms through which
diseconomies of scale are present in FQHCs.
Key Words. Efficiency, grants, FQHCs, primary care, health reform
Federally qualified health centers (FQHCs) were established to provide acces-
sible, affordable, and high-quality health care for all (Lefkowitz 2007; Mass
League 2011). FQHCs are nonprofit or private clinics that are located in medi-
cally underserved communities or in other locations where they provide care
for medically underserved populations. They provide care regardless of
patients’ ability to pay, offering a sliding fee scale for the poor and uninsured,
and are governed by a board that is comprised of a majority of members who
are also health center patients (94th U.S. Congress 1975). They grew from a
two-site demonstration in the 1960s to the largest primary care network in the
United States with over 6,500 sites (Mass League 2011). In 2010, FQHCs
© Health Research and Educational Trust
DOI: 10.1111/1475-6773.12106
RESEARCH ARTICLE
666
Health Services Research
served more than 19 million patients and have established themselves as a
critical provider of health care for the nation’s most vulnerable people. In
2010, the Patient Protection and Affordable Care Act (ACA) provided
FQHCs an additional $11 billion over the next 5 years, and they are expected
to double their covered population by 2015 (Arvantes 2010; Katz et al. 2011;
Kotelchuck, Lowenstein, and Tobin 2011). Now, more than 1 of every 17
Americans receives care in these centers. Although the importance of these
centers is without question, evidence is lacking regarding their efficiency in
delivering care.
To examine the determinants of technical efficiency in FQHCs, a theo-
retical framework was developed using resourc.
2 coments each one 150 words AND.pdf
The document discusses independent and dependent variables in evidence-based projects. It provides an example where the independent variable is the dose of a drug administered and the dependent variable is the frequency and intensity of symptoms. For an EBP project on a discharge education checklist for heart failure patients, the dependent variable would be the rate of readmission, while independent variables would include age, gender, marital status, education level, and financial status. Collecting these independent variables is necessary when assessing factors like health literacy that could influence readmission rates.
2 coments each one 150 words AND.pdf
The document discusses independent and dependent variables in evidence-based projects. It provides an example where the independent variable is the dose of a drug and the dependent variable is the frequency and intensity of symptoms. For an EBP project on a discharge education checklist for heart failure patients, the dependent variable would be the rate of readmission, while independent variables would include age, gender, marital status, education level, and financial status. Collecting these independent variables is necessary when assessing factors like health literacy that could influence readmission rates.
Chapter 1 introduction to statistics.
a) Experimental
b) Observational
The study in a) manipulates one variable (giving one group a herb vs placebo) and observes the effect on another variable (respiratory tract infections), making it an experimental study.
The study in b) passively observes behaviors or events without manipulation, making it an observational study.
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Q3:Analyze three scenes in the novel in which Antonio questions his manhood. How did his gender reality shift from the moment he found his family murdered in Guatemala? How does his gender reality shift in Los Angeles as a refugee?
Q4: Find two quotes in the novel that reinforces patriarchy, homophobia, and sexism (two quotes for each theme)
Q5: Pick a scene in the noval and re-write the gender script for the character in that scene
*
PLEASE PROVIDE THE PAGE NUMBER OF THE NOVEL TO YOUR RESPONSES.
.
Q 1Over the past 16 years, only two building permits for new h.docx
Q 1
Over the past 16 years, only two building permits for new housing construction have been issued in Sedgwick County, Colorado. This is consistent with the depopulation (particularly of younger persons) and economic diminution that is attributed to a declining rainfall since the 1970s. These are quantitative details. It is unclear how much of the depopulation was due to perceived opportunities elsewhere, to copycat or fad behavior, and to perceived change in local economic opportunity. Is qualitative analysis more likely to identify the leading cause of Sedgwick County's out-migration than are quantitative econometric methods? Why or why not? Which characteristics of qualitative research exerted the most influence as you formed your view on this topic? [300 words required, 3References, 3 Intext Citations and Original Writing only.]
.
Q 2In qualitative studies, individual or institutional harm an.docx
Q 2
In qualitative studies, individual or institutional harm and data bias may occur in many forms over variable time horizons. What are the most effective steps researchers can take in the research design phase to mitigate these harms and biases? Why are these most effective? [300 words, 3 references, 3 Intext Citations Original Writing Only]
.
Purpose This assignment gives you a chance to produce a scholar.docx
Purpose
:
This assignment gives you a chance to produce a scholarly paper
(
10
+ pages**)
about current research in Information Science (IS) and related domains (security, business, finance, analytics, communications, social networks, etc.). By
preparing it, you will familiarize yourself with information system issues, scientific methods of investigation, and theories and models used by IS researchers. See optional textbook for ideas: Davis and Shaw, ed. (2013)
Introduction to Information Science and Technology.
You are citing others’ ideas mainly as in a “literature review “and are not required to have original research or ideas. So your conclusion represents a synthesis of your research and conclusions.
(
**Longer is better.)
Because you have “research” and peer-reviewed publications to consider, the
topic areas vary
and include retrieval theory, knowledge management and information architecture, as well as user behavior, theories and models covering computer interactions, cognition, psychology, and human factors. The IS field of study includes search engines and meta-data analysis; statistical formulas and quantitative pattern analyses are evaluated. Computer-based technologies are investigated in IS to improve data base administration and information systems through knowledge-based systems (expert systems), artificial intelligence, decision support systems, data mining tools, encryption/decryption, system security (access, viruses, etc.), networking (handheld, wireless applications), collaboration, and object-oriented programming. Current topics: healthcare databases, social networking, spam, wireless, apps, informatics, blogs, wikis, RFIDs, grids.
DEVELOP A THESIS STATEMENT
based on what you know that is related to news or a scholarly reference(s) you read.
Thesis Example
: “The need for effective network security has increased since 9/11;
however
, the technology used by hackers advances each year ahead of IT efforts.
Therefore
, this paper will explore proven security approaches.”
That is, use a 3-Part THESIS STRUCTURE:
Positive statement (
theory or observed “truth”)
However statement… (problem to research)
Therefore statement… (approach you intend to use to resolve)
FINAL PAPER REQUIREMENTS
Write a 10-12 page paper (including charts, figures, bulleted lists, and other graphics; as well as reference list or bibliography).See outline and rubric below.
Suggested
Outline
: (Note that illustrations such as charts or figures are very good to have; a cognitive style issue.)
I.
Abstract (write this last to summarize)
II.
Thesis statement
III.
Literature review (or background on topic)
IV.
Argument/discussion of research
V.
Results and conclusion
VI.
References (sources cited/bibliography in APA style)
VII.
(optional) appendices (supporting material)
.
PurposeThe purpose of this assignment is to provide the student .docx
Purpose
The purpose of this assignment is to provide the student an opportunity to reflect on the weekly concepts learned in the course.
Activity Learning Outcomes
Through this assignment, the student will demonstrate the ability to:
CO1: Integrate evidence-based and research to support advancement of holistic nursing care in diverse healthcare settings. (PO 1,4)
CO2: Integrate knowledge related to evidence-based practice and person-centered care to improve health outcome. (PO 1, 2)
CO3: Demonstrate professional and personal growth through a spirit of inquiry, scholarship, and service in diverse healthcare settings. (PO 3, 4)
CO4: Develop knowledge related to research and evidence-based practice as a basis for designing and critiquing research studies. (PO 1, 5)
CO5: Analyze research findings and evidence-based practice to advance holistic care initiatives that promote positive healthcare outcomes. (PO 1, 2, 5)
Requirements:
Reflection:
write 1-2 paragraphs reflecting on your learning for the week. Guiding questions are provided or you may write about what you felt was most significant to you for the week.
You will need to post your reflection here before you are able to see other students' posts.
How hard was it to find a quantitative article related to your area of interest?
Did you have any difficulty determining whether the articles you reviewed were quantitative?
Is the quantitative approach appropriate for your area of interest? Would you be able to replicate the study you found?
.
PurposeTo assess your ability toDescribe technologies that unde.docx
Purpose
To assess your ability to:
Describe technologies that underlie pervasive computing, providing examples of how businesses can utilize each one.
Explain how the four major threats to wireless networks can damage a business.
Action Items
Research the following areas related to protecting sensitive data for the Woodworker Cabinet company. Write a two-to three-page report to the CIO addressing the following issues:
Methods used by various companies to protect organization data. Consider:
Data encryption;
Authentication and authorization; and
Network security measures (e.g., firewalls, spyware protection, etc.).
Ethical issues regarding protection of data. Consider:
Privacy considerations;
Trade secrets (e.g., manufacturing processes, etc.);
Client lists; and
Organizational financial information.
.
Purpose The purpose of Draft 3 is to build upon Draft 2 and.docx
Purpose:
The purpose of Draft 3 is to build upon Draft 2 and to move your drafting process forward so that you can add (1) a body, and (2) a conclusion
, and (3) an abstract to your paper (due Unit/Week 8), making it a cohesive, whole academic paper.
Description:
In this assignment,
you will take Draft 2
(introduction and review of literature), written in Unit VI, and
add the body of your paper
.
Your body paragraphs should contain the six elements indicated below and be developed in an appropriate manner. If the body does not contain these elements, it is likely you have not fully developed the body, and this lack of development can severely impact your grade for this assignment.
You will need to
write at least four body paragraphs
and
incorporate five academic sources
for this assignment. The paragraphs should be thorough and cover all the listed elements. Your Draft 3 (introduction, review of literature, and body) should include the elements listed below.
Elements:
Your grade for Draft 3 is based on your inclusion of various elements and the overall quality of your writing. Your Draft 3 must contain the following elements.
1.
Cover page and APA formatting:
The running head should include up to fifty (50) characters from the title of the paper, along with a sequential page number in the upper right-hand corner.
2.
Introduction:
Using the comments that you received on your Draft 2, revise your introduction
. To avoid pitfalls to writing an introductory paragraph, review the Checklist “Avoid Certain Mistakes in the Introduction” on p. 495 of
Strategies for Writing Successful Research Papers
.
3.
Review of literature:
Using the comments that you received on your Draft 1, revise your review of literature, and include it with this newest draft.
4.
Body paragraphs:
Each paragraph of the body of your Research Paper should be a cohesive unit. It should be tight, but developed. It should serve a function, and its purpose should always be to bolster the thesis. Therefore, you should use the following order for each paragraph in the body.
a.
Topic sentence:
This sentence summarizes the entire paragraph in one strong, well-written sentence, and it directly supports the thesis statement.
b.
Explanation of topic sentence (1-2 sentences):
Often times there is more to be said about the topic sentence, more explanation that is necessary in order for it to be a clear idea, so there are usually a few sentences that follow the topic sentence that explicate the idea more for the reader. These sentences not only “unpack” the topic sentence, but they also anticipate the evidence that will be used to support the topic sentence, usually indirectly.
c.
Introduction to evidence (1-2 sentences):
No piece of evidence (quotation, example, paraphrase, etc.) should be dropped into a paragraph without first introducing it. An introduction might include the title of the source, the author, and/or a short description of .
Purpose of the paper is to examine the issues related to corrections.docx
Purpose of the paper is to examine the issues related to corrections as well as the best strategies and options designed to meet the goals of corrections. Paper should include the Following:
A) An explantion of the history of the corrections system and varying approaches to corrections by era.
B) A complete description of the participants of the corrections system and their role.
C) A detailed analysis of the impediments, or issues, faced by corrections administrations when running a prison.
D) A complete description of the rights of prisoners, and the administration of required services by prison officials.
E) A detailed description of alternative forms of corrections, including methods of rehablitation and reintroduction to society
F) A comprehensive list of alternative strategies to incarceratation wtih an assessment, both pro and con, showing their worth as related to traditional, incarceration strategies
Paper should be formatted in APA
8-10 pages double spaced
At least 5 scholarly sources
.
Public speaking is different from conversation. Explain differences.docx
Public speaking is different from conversation. Explain differences
and
similarities
of these two types of speaking by addressing an issue from your personal life or from current events.
NOTE: You may conduct research to complete any of these discussions (if you are still waiting on the book), using the Internet or other resources. Be certain to properly cite your sources and provide a bibliography in appropriate format. This information is also addressed in this week's audio lessons.
Remember that your discussion response must include the following:
A reflection on the concept we are discussing. Give us a summary of things you learned about this concept from your assigned chapter readings.
A thorough example/discussion to support your reflection.
A final statement that tells us what you take away from this week's lesson.
Properly formatted in-text citations and references.
Strong grammar, spelling, and mechanics.
In total your discussion should be at least 250 words.
.
Published on The Root (httpwww.theroot.com) ! Why I A.docx
Byron Hurt grew up witnessing his father verbally abuse his mother. This led him to resent his father's dominance in the household and influenced how he later treated women. After graduating college, he took a job with the Mentors in Violence Prevention Project, which aimed to prevent gender-based violence. Through this work, Hurt learned about feminism and came to see the importance of challenging patriarchal systems and traditions of masculinity that normalize the domination of women. He now identifies as a male feminist and uses documentary filmmaking to promote anti-sexist ideas and healthy relationships between men and women.
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Syllabus
Chapter-1
Introduction to objective, scope and outcome the subject
Chapter 2
Introduction: Scope and Specialization of Civil Engineering, Role of civil Engineer in Society, Impact of infrastructural development on economy of country.
Chapter 3
Surveying: Object Principles & Types of Surveying; Site Plans, Plans & Maps; Scales & Unit of different Measurements.
Linear Measurements: Instruments used. Linear Measurement by Tape, Ranging out Survey Lines and overcoming Obstructions; Measurements on sloping ground; Tape corrections, conventional symbols. Angular Measurements: Instruments used; Introduction to Compass Surveying, Bearings and Longitude & Latitude of a Line, Introduction to total station.
Levelling: Instrument used Object of levelling, Methods of levelling in brief, and Contour maps.
Chapter 4
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Chapter 5
Transportation: Introduction to Transportation Engineering; Traffic and Road Safety: Types and Characteristics of Various Modes of Transportation; Various Road Traffic Signs, Causes of Accidents and Road Safety Measures.
Chapter 6
Environmental Engineering: Environmental Pollution, Environmental Acts and Regulations, Functional Concepts of Ecology, Basics of Species, Biodiversity, Ecosystem, Hydrological Cycle; Chemical Cycles: Carbon, Nitrogen & Phosphorus; Energy Flow in Ecosystems.
Water Pollution: Water Quality standards, Introduction to Treatment & Disposal of Waste Water. Reuse and Saving of Water, Rain Water Harvesting. Solid Waste Management: Classification of Solid Waste, Collection, Transportation and Disposal of Solid. Recycling of Solid Waste: Energy Recovery, Sanitary Landfill, On-Site Sanitation. Air & Noise Pollution: Primary and Secondary air pollutants, Harmful effects of Air Pollution, Control of Air Pollution. . Noise Pollution Harmful Effects of noise pollution, control of noise pollution, Global warming & Climate Change, Ozone depletion, Greenhouse effect
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2. Satheesh Gopi, Basic Civil Engineering, Pearson Publishers.
3. Ketki Rangwala Dalal, Essentials of Civil Engineering, Charotar Publishing House.
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