The week 3 presentation for Introduction to Research, a Lit Review class. Simply an introduction to reading, interpreting and then being able to communicate professional and academic research by others.
Graphical description of why assembling the skills of the networked world enables richer PR. By David Cushman. Find me at http://fasterfuture.blogspot.com
A very brief overview relating to industrial/organizational psychology and organizational health. Much more specifics required to execute individual or organizational change.
This document provides an introduction to research methods. It discusses different types of research including experimental, qualitative, quantitative, ethnographic, correlational, survey, action, and evaluation research. It also discusses systematic reviews, meta-analyses, and research synthesis. The goal of the class is for students to conduct a literature review and meta-analysis on a topic that is both personally meaningful and has implications for their career and life. Students will synthesize their research findings into an easy to understand graphic.
This document provides an overview of key concepts from strategic planning and management literature. It discusses issue clarification, strategy patterns, Mintzberg's perspectives on strategic planning, focusing strategy, strategy mapping, learning organizations, and Miles and Snow's strategic typologies. The resource emphasizes that strategic thinking is more important than any particular planning approach and that alternatives should be evaluated prior to implementation.
Strategic Planning - Scanning & VisioningJon R Wallace
The document discusses various concepts related to strategic planning and leadership including Porter's value chain, SWOT analysis, internal and external environmental scans, developing a vision and mission, and fostering shared organizational values. It provides examples and quotes from sources like Bryson, Drucker, and Gergen on topics such as visioning, change management, and teamwork. The overall document serves as a reference for key concepts, models, and frameworks that inform strategic planning and leadership.
Strategic planning can help public and nonprofit organizations fulfill their missions more effectively by creating public value and satisfying stakeholders. However, there are challenges to overcome for strategic planning to be successful. The document provides advice on getting started with strategic planning, including starting where the organization currently is, having a compelling reason to plan strategically, and tailoring the process to the specific organization. It also notes that the biggest benefits may come from unexpected areas like improved teamwork and morale. Strategic planning is not suitable for every organization in situations where there are insufficient resources, costs outweigh benefits, or implementation is unlikely.
Organizational Design Thinking for Transformational LeadershipJon R Wallace
Created in collaboration with Dr. Carol Sawyer at the University of La Verne and Jon R. Wallace, Siena Heights and Lake Michigan College for the 2011 Organization Design Forum Annual Conference.
Graphical description of why assembling the skills of the networked world enables richer PR. By David Cushman. Find me at http://fasterfuture.blogspot.com
A very brief overview relating to industrial/organizational psychology and organizational health. Much more specifics required to execute individual or organizational change.
This document provides an introduction to research methods. It discusses different types of research including experimental, qualitative, quantitative, ethnographic, correlational, survey, action, and evaluation research. It also discusses systematic reviews, meta-analyses, and research synthesis. The goal of the class is for students to conduct a literature review and meta-analysis on a topic that is both personally meaningful and has implications for their career and life. Students will synthesize their research findings into an easy to understand graphic.
This document provides an overview of key concepts from strategic planning and management literature. It discusses issue clarification, strategy patterns, Mintzberg's perspectives on strategic planning, focusing strategy, strategy mapping, learning organizations, and Miles and Snow's strategic typologies. The resource emphasizes that strategic thinking is more important than any particular planning approach and that alternatives should be evaluated prior to implementation.
Strategic Planning - Scanning & VisioningJon R Wallace
The document discusses various concepts related to strategic planning and leadership including Porter's value chain, SWOT analysis, internal and external environmental scans, developing a vision and mission, and fostering shared organizational values. It provides examples and quotes from sources like Bryson, Drucker, and Gergen on topics such as visioning, change management, and teamwork. The overall document serves as a reference for key concepts, models, and frameworks that inform strategic planning and leadership.
Strategic planning can help public and nonprofit organizations fulfill their missions more effectively by creating public value and satisfying stakeholders. However, there are challenges to overcome for strategic planning to be successful. The document provides advice on getting started with strategic planning, including starting where the organization currently is, having a compelling reason to plan strategically, and tailoring the process to the specific organization. It also notes that the biggest benefits may come from unexpected areas like improved teamwork and morale. Strategic planning is not suitable for every organization in situations where there are insufficient resources, costs outweigh benefits, or implementation is unlikely.
Organizational Design Thinking for Transformational LeadershipJon R Wallace
Created in collaboration with Dr. Carol Sawyer at the University of La Verne and Jon R. Wallace, Siena Heights and Lake Michigan College for the 2011 Organization Design Forum Annual Conference.
This document provides an overview of key statistical concepts used in data analysis. It defines common statistical terminology like population, parameter, sample, statistic, variables, levels of measurement, measures of center (mean, median, mode), measures of dispersion (range, standard deviation, variance), measures of relative position (z-scores, percentiles, quartiles), the normal distribution and empirical rule, and hypothesis testing. Examples are provided to illustrate how to apply these concepts when analyzing data and performing statistical tests concerning the mean.
Week 2 AssignmentApplication Measures of Central Tendency a.docxmelbruce90096
Week 2 Assignment
Application: Measures of Central Tendency and Variability
While researchers typically show frequency distributions in a table as a way to organize large amounts of data, you may have also seen frequency distributions displayed graphically, using histograms or smooth curves. Consider the bell curve, or normal distribution, and remember the first time you saw one. What can the frequency of occurrence tell us about a characteristic or phenomenon? Can it tell you how much better or worse you performed on a test when compared to the scores of your classmates? Imagine that you collected those test scores and created a frequency distribution. There might be, for example, many scores clustered around the 90% mark and no scores in the 0% to 60% range. Refer to the following graphic for more information. If your frequency histogram only included the range of observed scores (60% to 100%) instead of the entire range of possible scores (0% to 100%), it might appear that you had a normal distribution when really there was a negative skew. What other factors can you consider when planning how to interpret data?
Frequency distributions, particularly the normal curve, are an ongoing concept in this class. The normal distribution is very common in behavioral research. When you describe data with many different scores, you will understand more about them if you know the resulting distribution type. For example, if you notice a test score frequency distribution in the shape of two equal humps, or in a bimodal distribution, you can say with some certainty that scores fell into two ranges showing two discrete groupings of students’ scores. This Assignment focuses on your ability to understand and distinguish among the different types of frequency distributions, measures of central tendency, and measures of variability and understand what they mean in relation to a sample.
To prepare for this Assignment, review mean, median, and mode as well as the different types of distributions in your textbook.
Note: As you move forward through the course, you will see terms that you focused on in previous chapters. Each time you practice, you should know how to state hypotheses and be able to identify your independent and dependent variables. Each Assignment will contribute to your depth of knowledge so that you can understand more and more about conducting research studies.
Scenario:
Recall that for this week’s Discussion you considered data related to opening or attracting a new restaurant. Now consider that you ask 20 participants to estimate how many times a month they go out to dinner and you receive these responses:
1, 2, 5, 8, 2, 4, 8, 4, 2, 3, 6, 8, 7, 5, 8, 4, 0, 7, 6, and 18.
Assignment:
To complete this Assignment, submit by Day 7 calculations of the following measures of central tendency and variability using the data set provided. Include an explanation of how you calculated each measure and what information each measure gives you ab.
The document discusses guidance and counselling in education. It defines guidance as assisting students to manage their lives, make decisions, and solve problems. Counselling helps students learn about themselves and their situations. The purposes of guidance and counselling are to help students develop personally and socially, adjust to challenges, and utilize their abilities. It aims to develop good citizenship and attitudes. Guidance is a continuous process of helping students reach their potential in a way that benefits themselves and society. The median and mean are described as measures to summarize grouped or ungrouped student data.
The document discusses four main types of attitude scales: Likert scales, Thurstone scales, Guttman scales, and semantic differential scales. It provides examples of each type of scale and how they are constructed and used to measure attitudes. Likert scales use a rating system to measure agreement with statements, Thurstone scales assign values to statements ranked by judges, Guttman scales use a cumulative approach, and semantic differential scales measure evaluations along bi-polar adjective scales.
This document outlines the syllabus for a statistics and probabilities course, which covers topics such as descriptive statistics like measures of central tendency and dispersion, probability distributions, hypothesis testing, regression, and experimental design. It provides definitions and examples of key statistical concepts like populations, samples, variables, measures of central tendency including mean, median and mode, and measures of dispersion like range, mean deviation, variance and standard deviation. The course aims to teach students how to make informed judgments and decisions using statistical methods.
This document provides an introduction to measures of central tendency and dispersion used in descriptive statistics. It defines and explains key terms including mean, median, mode, range, standard deviation, variance, percentiles, and distributions. Examples are given using a fictional dataset on professors' weights to demonstrate how to calculate and interpret these descriptive statistics. Different ways of organizing and visually presenting data through tables, graphs, histograms, pie charts and scatter plots are also outlined.
This document provides an introduction to measures of central tendency and dispersion used in descriptive statistics. It defines and explains key terms including mean, median, mode, range, standard deviation, variance, percentiles, and distributions. Examples are given using a fictional dataset on professors' weights to demonstrate how to calculate and interpret these descriptive statistics. Different ways of organizing and visually presenting data through tables, graphs, histograms, pie charts and scatter plots are also outlined.
Spss Homework Psyc 421
SPSS Assignment Part 1 Instructions
Describing a Normative Sample
When it comes to the use of psychological tests, one approach that both researchers and clinicians take in trying to understand participants’ performance is a norm-referenced approach. With a norm-referenced test, the test is given to a large, representative group of participants known as the “normative sample” (a.k.a. “norm group”). Then, the scores of all subsequent test-takers are compared to the scores of the norm group. In order for the norm group to be a valid comparison group, it has to be representative of the population who will be taking the test.
So how do we know if the normative sample is representative? When summarizing the psychometric properties of a test, test developers and publishers usually describe the norm group with their demographic variables. Demographic variables are characteristics of the participants like: gender, age, ethnicity, relationship status, socioeconomic status, religious affiliation etc. A description of the normative sample allows examinersto decide if the test of interest can be used with their intended examinees. For example, if the normative sample were 95% male, then you likely could not logically compare their scores to females test takers! That is why readers need to know what the normative sample looks like.
The purpose of the current assignment is for you to provide a verbal (and graphical)description of a fictional normative sample of research participants.
In the Assignment Instructions folder, there is an SPSS data file that will be the basis for your analyses. The data provided are fictional and were created solely for the purposes of our SPSS assignments. This data file includes: 1) demographic information for a normative sample of 428 participants, and 2) participants’ scores on a test called the Center for Epidemiologic Studies Depression Scale (CES-D scale).
The CES-D Scale is utilized to measure symptoms of depression. It is a self-assessment that is completed by the individual. The CES-D contains 20items rated on a 4-point scale (0 = Rarely or None of the Time to 3
35878 Topic Discussion5Number of Pages 1 (Double Spaced).docxrhetttrevannion
35878 Topic: Discussion5
Number of Pages: 1 (Double Spaced)
Number of sources: 1
Writing Style: APA
Type of document: Essay
Academic Level:Master
Category: Psychology
Language Style: English (U.S.)
Order Instructions: Attached
I will attach the instruction
Please follow them carefully
General Business Page 9
Unit 4
Due Wed 12/12
800-1,000 words / these will be turned into slides and added to your key assignment.
Study the following document: Methods for Managing Differences. Assume this communication strategy has been recommended by your employer for mediation when working with potential and existing business clients and partners.
Consider that there are basically two distinct types of cultures. One type is more cooperative, and the other is more competitive. It has been discovered that there are some conflicts occurring between some of the key players who need to come to agreement on specific critical areas of the deal for it to move forward. The top management would really like this deal to happen.
Imagine being in this situation, and create the scenario as you go through the process using the methods approach from above.
· Describe the steps you would take and any considerations along the way.
· How would you use the recommended method when working with individuals who exhibit a generally competitive culture?
· How would you use the recommended method when working with individuals who exhibit a generally cooperative culture?
· Would this cultural factor change the way you apply this method for managing differences? Why or why not? Explain.
Create Section 4 of your Key Assignment presentation: Global Negotiations. Refer to Unit 1 Discussion Board 2 for a description of this section. Submit a draft of your entire presentation for your instructor to review.
Discussion 2: Discuss, elaborate and give example on the topic below. Please use only the reference I attach. Please be careful with grammar and spelling. No running head Please.
Author: Jackson, S.L. (2017). Statistics Plain and Simple (4th ed.): Cengage Learning
Topic
Review this week’s course materials and learning activities, and reflect on your learning so far this week. Respond to one or more of the following prompts in one to two paragraphs:
1. Provide citation and reference to the material(s) you discuss. Describe what you found interesting regarding this topic, and why.
2. Describe how you will apply that learning in your daily life, including your work life.
3. Describe what may be unclear to you, and what you would like to learn.
Reference:
Module 9: The Single-Sample z Test
The z Test: What It Is and What It Does
The Sampling Distribution
The Standard Error of the Mean
Calculations for the One-Tailed z Test
Interpreting the One-Tailed z Test
Calculations for the Two-Tailed z Test
Interpreting the Two-Tailed z Test
Statistical Power
Assumptions and Appropriate Use of the z Test
Confidence Intervals Based on the z Distribution
Review of Key Term.
How to Write an Argumentative Essay Step By Step - Gudwriter. Sample Essay Outlines - 34+ Examples, Format, Pdf | Examples. Argumentative Essay Outline - 9+ Examples, Format, Pdf | Examples. A Sample Argumentative Essay.
Normal or skewed distributions (descriptive both2) - Copyright updatedKen Plummer
The document discusses normal and skewed distributions and how to identify them. It provides examples of measuring forearm circumference of golf players and IQs of cats and dogs. The forearm circumference data is normally distributed while the dog IQ data is left skewed based on the skewness statistics provided. Therefore, at least one of the distributions (dog IQs) is skewed.
Normal or skewed distributions (descriptive both2)Ken Plummer
The document discusses normal and skewed distributions and how to identify them. It provides examples of normal and skewed distributions based on golf player forearm circumference data and cat and dog IQ data. The golf player data is normally distributed while the dog IQ data is skewed left based on the skewness statistics. Therefore, at least one of the distributions is skewed.
Anti-Racism Training: Exploring Systemic Racism with Systems ThinkingToby Sinclair
Workshop Purpose:
This Anti-Racism Training workshop aims to help participants understand the systemic nature of racism. In particular, how often solutions implemented fail to solve the systemic problem. Also how these "quick fixes" can have unintended side effects.
After the workshop participants will be in a better position to avoid the side effects of quick fixes and better tackle the deep-rooted systemic issues.
Learning Outcomes:
1. Understand how systems thinking can help with problem-solving.
2. Identify factors that influence racism and how these factors are interconnected.
3. Recognize potential side effects of “Quick Fixes”
4. Identify systemic solutions that better address the problem in a long term sustainable way.
5. Agreement on actions the participants can take to make progress within their context.
The training guide including agenda and materials can be found here: https://www.tobysinclair.com/anti-racism-training
Central spread - symmetry (jejit + indepth)Ken Plummer
The document discusses different categories of methods for analyzing data distributions: central tendency, spread, and symmetry. Central tendency describes where data are clustered around the average or center. Spread describes how far data are from the middle. Symmetry describes the overall shape of the distribution. The document provides examples of questions that would require analyzing the central tendency, spread, or symmetry and instructs the reader to identify which one is most relevant. It emphasizes that every distribution has all three characteristics but the analysis may focus on one aspect.
Central spread - symmetry (jejit + indepth)Ken Plummer
The document discusses different categories of methods for analyzing data distributions: central tendency, spread, and symmetry. Central tendency describes where data are clustered around the average or center. Spread describes how far data are from the middle. Symmetry describes the overall shape of the distribution. The document provides examples of questions that would require analyzing the central tendency, spread, or symmetry and instructs the reader to identify which one is most relevant. It emphasizes that every distribution has all three characteristics but the analysis may focus on one aspect.
Structure of social psych - Lanning Social Psych Winter Conf 2015Kevin Lanning
Bibliometric analyses of the Journal of Personality and Social Psychology are used to examine the structure of social psychology - whether it is best understood as one construct, two, three, or more than this. Presented at the Fred Rhodewalt Social Psychology Winter Conference, Park City, Janurayr 2015.
Lect 3 background mathematics for Data Mininghktripathy
The document discusses various statistical measures used to describe data, including measures of central tendency and dispersion.
It introduces the mean, median, and mode as common measures of central tendency. The mean is the average value, the median is the middle value, and the mode is the most frequent value. It also discusses weighted means.
It then discusses various measures of data dispersion, including range, variance, standard deviation, quartiles, and interquartile range. The standard deviation specifically measures how far data values typically are from the mean and is important for describing the width of a distribution.
Central tendency spread - symmetry (4.0)Ken Plummer
The document discusses different types of descriptions for distributions including central tendency, spread, and symmetry. It provides examples of questions that would require analyzing the central tendency, spread, or symmetry of a distribution to answer. The document is intended to help the reader identify which type of distribution description is most relevant for answering different types of questions.
This is a modified version of Master Class that Dr Siobhan O'Dwyer delivered at the Griffith University School of Nursing's Annual Research School for postgraduate students.
Every complex mission will land on the shores of a human cultural context. Some models can help to orientate that context and increase the chances of success. Using Spiral Dynamics model to understand culture, and Nonaka’s SECI model for knowledge creation, help in that general orientation.
A quick overview (not exhaustive) of the history of the leadership from an academic/scientific perspective. The notes are critical and all citations listed in references (APA) for further reading.
An updated look at organizational culture including a brief discussion of three measurement tools and a list of academic references behind the notes on the slides. Some personal (some) commentary as well. Enjoy. Learn. Use.
This document provides an overview of key statistical concepts used in data analysis. It defines common statistical terminology like population, parameter, sample, statistic, variables, levels of measurement, measures of center (mean, median, mode), measures of dispersion (range, standard deviation, variance), measures of relative position (z-scores, percentiles, quartiles), the normal distribution and empirical rule, and hypothesis testing. Examples are provided to illustrate how to apply these concepts when analyzing data and performing statistical tests concerning the mean.
Week 2 AssignmentApplication Measures of Central Tendency a.docxmelbruce90096
Week 2 Assignment
Application: Measures of Central Tendency and Variability
While researchers typically show frequency distributions in a table as a way to organize large amounts of data, you may have also seen frequency distributions displayed graphically, using histograms or smooth curves. Consider the bell curve, or normal distribution, and remember the first time you saw one. What can the frequency of occurrence tell us about a characteristic or phenomenon? Can it tell you how much better or worse you performed on a test when compared to the scores of your classmates? Imagine that you collected those test scores and created a frequency distribution. There might be, for example, many scores clustered around the 90% mark and no scores in the 0% to 60% range. Refer to the following graphic for more information. If your frequency histogram only included the range of observed scores (60% to 100%) instead of the entire range of possible scores (0% to 100%), it might appear that you had a normal distribution when really there was a negative skew. What other factors can you consider when planning how to interpret data?
Frequency distributions, particularly the normal curve, are an ongoing concept in this class. The normal distribution is very common in behavioral research. When you describe data with many different scores, you will understand more about them if you know the resulting distribution type. For example, if you notice a test score frequency distribution in the shape of two equal humps, or in a bimodal distribution, you can say with some certainty that scores fell into two ranges showing two discrete groupings of students’ scores. This Assignment focuses on your ability to understand and distinguish among the different types of frequency distributions, measures of central tendency, and measures of variability and understand what they mean in relation to a sample.
To prepare for this Assignment, review mean, median, and mode as well as the different types of distributions in your textbook.
Note: As you move forward through the course, you will see terms that you focused on in previous chapters. Each time you practice, you should know how to state hypotheses and be able to identify your independent and dependent variables. Each Assignment will contribute to your depth of knowledge so that you can understand more and more about conducting research studies.
Scenario:
Recall that for this week’s Discussion you considered data related to opening or attracting a new restaurant. Now consider that you ask 20 participants to estimate how many times a month they go out to dinner and you receive these responses:
1, 2, 5, 8, 2, 4, 8, 4, 2, 3, 6, 8, 7, 5, 8, 4, 0, 7, 6, and 18.
Assignment:
To complete this Assignment, submit by Day 7 calculations of the following measures of central tendency and variability using the data set provided. Include an explanation of how you calculated each measure and what information each measure gives you ab.
The document discusses guidance and counselling in education. It defines guidance as assisting students to manage their lives, make decisions, and solve problems. Counselling helps students learn about themselves and their situations. The purposes of guidance and counselling are to help students develop personally and socially, adjust to challenges, and utilize their abilities. It aims to develop good citizenship and attitudes. Guidance is a continuous process of helping students reach their potential in a way that benefits themselves and society. The median and mean are described as measures to summarize grouped or ungrouped student data.
The document discusses four main types of attitude scales: Likert scales, Thurstone scales, Guttman scales, and semantic differential scales. It provides examples of each type of scale and how they are constructed and used to measure attitudes. Likert scales use a rating system to measure agreement with statements, Thurstone scales assign values to statements ranked by judges, Guttman scales use a cumulative approach, and semantic differential scales measure evaluations along bi-polar adjective scales.
This document outlines the syllabus for a statistics and probabilities course, which covers topics such as descriptive statistics like measures of central tendency and dispersion, probability distributions, hypothesis testing, regression, and experimental design. It provides definitions and examples of key statistical concepts like populations, samples, variables, measures of central tendency including mean, median and mode, and measures of dispersion like range, mean deviation, variance and standard deviation. The course aims to teach students how to make informed judgments and decisions using statistical methods.
This document provides an introduction to measures of central tendency and dispersion used in descriptive statistics. It defines and explains key terms including mean, median, mode, range, standard deviation, variance, percentiles, and distributions. Examples are given using a fictional dataset on professors' weights to demonstrate how to calculate and interpret these descriptive statistics. Different ways of organizing and visually presenting data through tables, graphs, histograms, pie charts and scatter plots are also outlined.
This document provides an introduction to measures of central tendency and dispersion used in descriptive statistics. It defines and explains key terms including mean, median, mode, range, standard deviation, variance, percentiles, and distributions. Examples are given using a fictional dataset on professors' weights to demonstrate how to calculate and interpret these descriptive statistics. Different ways of organizing and visually presenting data through tables, graphs, histograms, pie charts and scatter plots are also outlined.
Spss Homework Psyc 421
SPSS Assignment Part 1 Instructions
Describing a Normative Sample
When it comes to the use of psychological tests, one approach that both researchers and clinicians take in trying to understand participants’ performance is a norm-referenced approach. With a norm-referenced test, the test is given to a large, representative group of participants known as the “normative sample” (a.k.a. “norm group”). Then, the scores of all subsequent test-takers are compared to the scores of the norm group. In order for the norm group to be a valid comparison group, it has to be representative of the population who will be taking the test.
So how do we know if the normative sample is representative? When summarizing the psychometric properties of a test, test developers and publishers usually describe the norm group with their demographic variables. Demographic variables are characteristics of the participants like: gender, age, ethnicity, relationship status, socioeconomic status, religious affiliation etc. A description of the normative sample allows examinersto decide if the test of interest can be used with their intended examinees. For example, if the normative sample were 95% male, then you likely could not logically compare their scores to females test takers! That is why readers need to know what the normative sample looks like.
The purpose of the current assignment is for you to provide a verbal (and graphical)description of a fictional normative sample of research participants.
In the Assignment Instructions folder, there is an SPSS data file that will be the basis for your analyses. The data provided are fictional and were created solely for the purposes of our SPSS assignments. This data file includes: 1) demographic information for a normative sample of 428 participants, and 2) participants’ scores on a test called the Center for Epidemiologic Studies Depression Scale (CES-D scale).
The CES-D Scale is utilized to measure symptoms of depression. It is a self-assessment that is completed by the individual. The CES-D contains 20items rated on a 4-point scale (0 = Rarely or None of the Time to 3
35878 Topic Discussion5Number of Pages 1 (Double Spaced).docxrhetttrevannion
35878 Topic: Discussion5
Number of Pages: 1 (Double Spaced)
Number of sources: 1
Writing Style: APA
Type of document: Essay
Academic Level:Master
Category: Psychology
Language Style: English (U.S.)
Order Instructions: Attached
I will attach the instruction
Please follow them carefully
General Business Page 9
Unit 4
Due Wed 12/12
800-1,000 words / these will be turned into slides and added to your key assignment.
Study the following document: Methods for Managing Differences. Assume this communication strategy has been recommended by your employer for mediation when working with potential and existing business clients and partners.
Consider that there are basically two distinct types of cultures. One type is more cooperative, and the other is more competitive. It has been discovered that there are some conflicts occurring between some of the key players who need to come to agreement on specific critical areas of the deal for it to move forward. The top management would really like this deal to happen.
Imagine being in this situation, and create the scenario as you go through the process using the methods approach from above.
· Describe the steps you would take and any considerations along the way.
· How would you use the recommended method when working with individuals who exhibit a generally competitive culture?
· How would you use the recommended method when working with individuals who exhibit a generally cooperative culture?
· Would this cultural factor change the way you apply this method for managing differences? Why or why not? Explain.
Create Section 4 of your Key Assignment presentation: Global Negotiations. Refer to Unit 1 Discussion Board 2 for a description of this section. Submit a draft of your entire presentation for your instructor to review.
Discussion 2: Discuss, elaborate and give example on the topic below. Please use only the reference I attach. Please be careful with grammar and spelling. No running head Please.
Author: Jackson, S.L. (2017). Statistics Plain and Simple (4th ed.): Cengage Learning
Topic
Review this week’s course materials and learning activities, and reflect on your learning so far this week. Respond to one or more of the following prompts in one to two paragraphs:
1. Provide citation and reference to the material(s) you discuss. Describe what you found interesting regarding this topic, and why.
2. Describe how you will apply that learning in your daily life, including your work life.
3. Describe what may be unclear to you, and what you would like to learn.
Reference:
Module 9: The Single-Sample z Test
The z Test: What It Is and What It Does
The Sampling Distribution
The Standard Error of the Mean
Calculations for the One-Tailed z Test
Interpreting the One-Tailed z Test
Calculations for the Two-Tailed z Test
Interpreting the Two-Tailed z Test
Statistical Power
Assumptions and Appropriate Use of the z Test
Confidence Intervals Based on the z Distribution
Review of Key Term.
How to Write an Argumentative Essay Step By Step - Gudwriter. Sample Essay Outlines - 34+ Examples, Format, Pdf | Examples. Argumentative Essay Outline - 9+ Examples, Format, Pdf | Examples. A Sample Argumentative Essay.
Normal or skewed distributions (descriptive both2) - Copyright updatedKen Plummer
The document discusses normal and skewed distributions and how to identify them. It provides examples of measuring forearm circumference of golf players and IQs of cats and dogs. The forearm circumference data is normally distributed while the dog IQ data is left skewed based on the skewness statistics provided. Therefore, at least one of the distributions (dog IQs) is skewed.
Normal or skewed distributions (descriptive both2)Ken Plummer
The document discusses normal and skewed distributions and how to identify them. It provides examples of normal and skewed distributions based on golf player forearm circumference data and cat and dog IQ data. The golf player data is normally distributed while the dog IQ data is skewed left based on the skewness statistics. Therefore, at least one of the distributions is skewed.
Anti-Racism Training: Exploring Systemic Racism with Systems ThinkingToby Sinclair
Workshop Purpose:
This Anti-Racism Training workshop aims to help participants understand the systemic nature of racism. In particular, how often solutions implemented fail to solve the systemic problem. Also how these "quick fixes" can have unintended side effects.
After the workshop participants will be in a better position to avoid the side effects of quick fixes and better tackle the deep-rooted systemic issues.
Learning Outcomes:
1. Understand how systems thinking can help with problem-solving.
2. Identify factors that influence racism and how these factors are interconnected.
3. Recognize potential side effects of “Quick Fixes”
4. Identify systemic solutions that better address the problem in a long term sustainable way.
5. Agreement on actions the participants can take to make progress within their context.
The training guide including agenda and materials can be found here: https://www.tobysinclair.com/anti-racism-training
Central spread - symmetry (jejit + indepth)Ken Plummer
The document discusses different categories of methods for analyzing data distributions: central tendency, spread, and symmetry. Central tendency describes where data are clustered around the average or center. Spread describes how far data are from the middle. Symmetry describes the overall shape of the distribution. The document provides examples of questions that would require analyzing the central tendency, spread, or symmetry and instructs the reader to identify which one is most relevant. It emphasizes that every distribution has all three characteristics but the analysis may focus on one aspect.
Central spread - symmetry (jejit + indepth)Ken Plummer
The document discusses different categories of methods for analyzing data distributions: central tendency, spread, and symmetry. Central tendency describes where data are clustered around the average or center. Spread describes how far data are from the middle. Symmetry describes the overall shape of the distribution. The document provides examples of questions that would require analyzing the central tendency, spread, or symmetry and instructs the reader to identify which one is most relevant. It emphasizes that every distribution has all three characteristics but the analysis may focus on one aspect.
Structure of social psych - Lanning Social Psych Winter Conf 2015Kevin Lanning
Bibliometric analyses of the Journal of Personality and Social Psychology are used to examine the structure of social psychology - whether it is best understood as one construct, two, three, or more than this. Presented at the Fred Rhodewalt Social Psychology Winter Conference, Park City, Janurayr 2015.
Lect 3 background mathematics for Data Mininghktripathy
The document discusses various statistical measures used to describe data, including measures of central tendency and dispersion.
It introduces the mean, median, and mode as common measures of central tendency. The mean is the average value, the median is the middle value, and the mode is the most frequent value. It also discusses weighted means.
It then discusses various measures of data dispersion, including range, variance, standard deviation, quartiles, and interquartile range. The standard deviation specifically measures how far data values typically are from the mean and is important for describing the width of a distribution.
Central tendency spread - symmetry (4.0)Ken Plummer
The document discusses different types of descriptions for distributions including central tendency, spread, and symmetry. It provides examples of questions that would require analyzing the central tendency, spread, or symmetry of a distribution to answer. The document is intended to help the reader identify which type of distribution description is most relevant for answering different types of questions.
This is a modified version of Master Class that Dr Siobhan O'Dwyer delivered at the Griffith University School of Nursing's Annual Research School for postgraduate students.
Every complex mission will land on the shores of a human cultural context. Some models can help to orientate that context and increase the chances of success. Using Spiral Dynamics model to understand culture, and Nonaka’s SECI model for knowledge creation, help in that general orientation.
A quick overview (not exhaustive) of the history of the leadership from an academic/scientific perspective. The notes are critical and all citations listed in references (APA) for further reading.
An updated look at organizational culture including a brief discussion of three measurement tools and a list of academic references behind the notes on the slides. Some personal (some) commentary as well. Enjoy. Learn. Use.
Siena Heights University graduate class on Negotiation as Process based on text (2011) from Lewicki, Saunders and Barry (McGraw-Hill). A very short top ten list of key points.
The document discusses the strategy and tactics of integrative negotiation. It describes integrative negotiation as focusing on common interests rather than positions, generating options for mutual gain, and finding solutions that satisfy all parties' needs. The key steps are to define problems mutually, understand each party's interests and needs, generate alternative solutions, and evaluate and select solutions based on objective criteria and mutual acceptability. Factors for success include having common objectives, commitment to collaboration over self-interest, trust, and clear communication.
This document discusses various theories and approaches to studying leadership. It begins by defining leadership as inspiring collective action for the common good. It then outlines different approaches to studying leadership, including trait, behavioral, contingency, and transformational approaches. The document contrasts the differences between leadership and management, noting that leadership focuses on influencing and changing behavior while management focuses on executing plans and managing resources. It discusses various leadership traits and behaviors identified in trait and behavioral theories. Finally, it outlines Fiedler's contingency theory of leadership, which proposes that effective leadership depends on matching a leader's style to the demands of the situation.
This document discusses influence, empowerment, and politics in organizations. It covers several topics:
1. Types of influence tactics including soft tactics like rational persuasion and hard tactics like pressure. It also discusses outcomes of influence like commitment, compliance, and resistance.
2. Sources of power in organizations including position power, personal power, and different bases of social power.
3. Empowerment and how sharing power with employees can increase their motivation and potential. Several models of empowerment are presented.
4. Organizational politics and how uncertainty can cause political behavior. Different levels of political action and types of political tactics are discussed.
The document discusses various models of communication including Aristotle's model, Laswell's model, Shannon-Weaver model, and Berlo's model. It also discusses barriers to communication such as personal barriers, physical barriers, and semantic barriers. Additionally, it covers topics like assertive communication styles, nonverbal communication, active listening, formal and informal communication channels, and managing email etiquette.
Leveraging Generative AI to Drive Nonprofit InnovationTechSoup
In this webinar, participants learned how to utilize Generative AI to streamline operations and elevate member engagement. Amazon Web Service experts provided a customer specific use cases and dived into low/no-code tools that are quick and easy to deploy through Amazon Web Service (AWS.)
Chapter wise All Notes of First year Basic Civil Engineering.pptxDenish Jangid
Chapter wise All Notes of First year Basic Civil Engineering
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
Buildings: Selection of site for Buildings, Layout of Building Plan, Types of buildings, Plinth area, carpet area, floor space index, Introduction to building byelaws, concept of sun light & ventilation. Components of Buildings & their functions, Basic concept of R.C.C., Introduction to types of foundation
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
Text Books:
1. Palancharmy, Basic Civil Engineering, McGraw Hill publishers.
2. Satheesh Gopi, Basic Civil Engineering, Pearson Publishers.
3. Ketki Rangwala Dalal, Essentials of Civil Engineering, Charotar Publishing House.
4. BCP, Surveying volume 1
Temple of Asclepius in Thrace. Excavation resultsKrassimira Luka
The temple and the sanctuary around were dedicated to Asklepios Zmidrenus. This name has been known since 1875 when an inscription dedicated to him was discovered in Rome. The inscription is dated in 227 AD and was left by soldiers originating from the city of Philippopolis (modern Plovdiv).
THE SACRIFICE HOW PRO-PALESTINE PROTESTS STUDENTS ARE SACRIFICING TO CHANGE T...indexPub
The recent surge in pro-Palestine student activism has prompted significant responses from universities, ranging from negotiations and divestment commitments to increased transparency about investments in companies supporting the war on Gaza. This activism has led to the cessation of student encampments but also highlighted the substantial sacrifices made by students, including academic disruptions and personal risks. The primary drivers of these protests are poor university administration, lack of transparency, and inadequate communication between officials and students. This study examines the profound emotional, psychological, and professional impacts on students engaged in pro-Palestine protests, focusing on Generation Z's (Gen-Z) activism dynamics. This paper explores the significant sacrifices made by these students and even the professors supporting the pro-Palestine movement, with a focus on recent global movements. Through an in-depth analysis of printed and electronic media, the study examines the impacts of these sacrifices on the academic and personal lives of those involved. The paper highlights examples from various universities, demonstrating student activism's long-term and short-term effects, including disciplinary actions, social backlash, and career implications. The researchers also explore the broader implications of student sacrifices. The findings reveal that these sacrifices are driven by a profound commitment to justice and human rights, and are influenced by the increasing availability of information, peer interactions, and personal convictions. The study also discusses the broader implications of this activism, comparing it to historical precedents and assessing its potential to influence policy and public opinion. The emotional and psychological toll on student activists is significant, but their sense of purpose and community support mitigates some of these challenges. However, the researchers call for acknowledging the broader Impact of these sacrifices on the future global movement of FreePalestine.
9. Standard Deviation Standard deviation tells us the strength (confidence) of the data. Step 1. Find the mean of the set of data Step 2. Compute the deviation by subtracting the mean from each value Step 3. Square each deviation Step 4. Add up the squared deviations Step 5. Divide by one less than the sample size Step 6. Find the square root (√ ) of the number obtained in Step 5. This is the standard deviation
12. Break – Who is Your Peer? Classmate Topic Conflict Resolution from Female Perspective Educational Leadership Engagement, Trust and Leader Effectiveness Health Care Gender Leadership Health Care Real Time Location Systems Hospitality Leadership Leadership Serving Elderly Populations Pre-Adolescent Health Preferential Leadership? Rural Health Care The Impact of the Electronic Health Record.
13. APA Resources Style Image Source: http://0.tqn.com/d/psychology/1/0/m/8/references2.jpg My Siena
18. The Lit Review Journey It’s not a race among each of you because the only prize for finishing first is being done.
19. The Lit Review Journey It’s a five week marathon to go from broad and unfocused to a specific personal understanding that you can apply as well as share with others. It’s a skill you will use again and again the rest of your life.
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Editor's Notes
The purpose of this class is for you to improve your skills at finding, interpreting and communicating the professional and academic ideas and research of others. We are all connected and build upon the findings of others to create our own interconnected competences.
As we discussed in week 1, Human knowledge doubles every two years (most subjects). Your ability to discern what is good and usable, as well as communicate what you’ve learned to others is a foundation of your ability to succeed. It’s also important to understand that there may be slightly competing concepts that each have validity, particularly in the social sciences, depending on the individual or group cultures. What works for Teri is not necessarily what works for LeAnne and doesn’t have to be.
40+ minute round table discussion of all students after two weeks of seeking to increase interpersonal comfort, collaboration and assess progress.
There have been a couple of changes to Ecollege: Webliography and a student Pdf's folder under Doc Sharing (show both). In the week 3 section there is a 10 minute video on writing a literature from YouTube (http://www.youtube.com/watch?v=t2d7y_r65HU) and the link is also included here. I’m hopeful that you’ve done enough database searching so far that Reading Response 2 will be a fairly quick exercise. Question: Why is what you say, how you say it and what you share with each other important? Student response: Simply because it demonstrates your ability to communicate sometimes complex information in your own words, professionally, with proper spelling and grammar. How you communicate here is another competence with ties to organizational email, memos, and creating corporate reports. That’s why it’s graded, though not at a level high enough to dramatically effect your grade. I’ve left Dr. Cichy’s (chicky) presentation (Funnel) up because it may be of more use to you than mine and gives you another look at the information. She created the coursepacks, but remember I’ve asked you to read those a week ahead of time in our syllabus so you can ask questions and I can prepare for our in class time. And finally there is a place for you to upload your APA formatted resources page as well as paste it into a Discussion Thread. You do need to look at and make minor comments about what you see. You do not need to download anyone else’s pages. I will make any needed comments and upload it back to you. With permission we’re going to look at Barbara’s post later on.
Math for many of us can make our heads explode just looking at the numbers. Yet, math is inescapable in our personal and professional lives, and we have to learn to at some basic level, how to understand, read and interpret the validity of numbers which can be manipulated. This isn’t a higher level statistics class, but there are real world implications to our being able to comprehend why math is important. If you’ve never visited www.ted.com, you should. This talk is from Kevin Slavin.
Straightforward explanation, with the note for Median that if there is an even number of entries, the total number of entries is divided by 2 which provides a result. The Median with an odd number of entries is the next highest entry from that result.
Measure of Dispersion and Range both describe the distance (spread) among the set of numbers in a report.
Standard deviation is commonly used to measure confidence in statistical conclusions. For example, the margin of error in polling data is determined by calculating the expected standard deviation in the results if the same poll were to be conducted multiple times. (Typically the reported margin of error is about twice the standard deviation, the radius of a 95% confidence interval.) In science, researchers commonly report the standard deviation of experimental data, and only effects that fall far outside the range of standard deviation are considered statistically significant. Standard deviation is also important in finance, where the standard deviation on the rate of return on an investment is a measure of the risk.
Standard deviation is commonly used to measure confidence in statistical conclusions. For example, the margin of error in polling data is determined by calculating the expected standard deviation in the results if the same poll were to be conducted multiple times. (Typically the reported margin of error is about twice the standard deviation, the radius of a 95% confidence interval.) In science, researchers commonly report the standard deviation of experimental data, and only effects that fall far outside the range of standard deviation are considered statistically significant. Standard deviation is also important in finance, where the standard deviation on the rate of return on an investment is a measure of the risk. http://www.childrensmercy.org/stats/definitions/stdev.htm http://www.robertniles.com/stats/stdev.shtml
During the break have conversations with each other about partnering for peer review based on logical collaborations. There will be one group of 3 (11 students). Decisions to be finished by the end of the night.
You’ll notice at the top of this sample “running head”. The term “running head” only appears on the first page, after that the title and the page number are on every page. Within MS Word Header/Footer you’ll simply need to check the box that says “different first page”. Resources as a “title” is centered, but not all topic headings are. After that the citations are alphabetical with a ½ inch reverse indent. Barbara was kind of us to let her use her post for this week as a sample so let’s look at the version I uploaded with the MS Review Function in the threaded discussion.
Funneling is the concept of taking a huge amount literature – chunking into a small/important focus – evaluating it with a critical eye. Successful focus/evaluation leads to discovery, not frustration. It is also a continual loop in that the better you become at it, the more adaptable you become to organizational, environment, cultural and global change because you can in a relatively short period of time acquire the knowledge you need to act, even if you’re not in a structured class.
Where does your topic belong (leadership, health care, psychology, etc.) Why should you care about this topic? How many people are impacted by this? How much money is being spent and/or wasted on this? How often does it occur?
Remember that research must be significant, relevant, and original to both the author or author (s) and to the reader. Funneling is about focusing the lens. Some of your declared topics are rather broad, which is fine as long as you’re aware of it. Others, like Russell’s are extremely specific, and readily applicable to his responsibilities for Lakeland. So his research will not only increase his competences, it should result in higher performance within his current organization, with opportunities for further growth.
Dr. Cichy’s slide mentions this research, which I was able to find just by typing Meyer & Rowan in about thirty seconds. It has been listed as a resource in over 11,000 other published articles (up from the 3500 listed in her slide). It is highly important, foundational and clearly led to mountains of other research. If that many published articles have used it, you know it’s valid, safe and worth paying attention to. It’s also been uploaded into Doc Sharing already, so don’t look for it. It may be useful for those of you taking Culture though if you’re reading Schein.
Self Explanatory
Self Explanatory
Repeating what was discussed in the first week.
Remember that this curriculum was created for both 602 (non thesis) and 605 (thesis). If you find over the course of your literature review that there is an opportunity for you to do a Master’s thesis, as one of us already has, that discussion can be had with Dr. Cichy and Dr. Hooghart and your advisor so that as you progress you have the proper academic supervision.