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(English) Summary 4.4 Applied Multivariate Data Analysis (2018/2019). Contains: - Chapters (2, 6, 8 ,9, 11, 12, 13, 14, 15, 16) Field 5th edition. - Extra information from exercises. - A brief overview of assumptions violations, effect sizes, null hypotheses and contrasts. - Notes from lectures .

- Summary
- • 37 pages •

(English) Summary 4.4 Applied Multivariate Data Analysis (2018/2019). Contains: - Chapters (2, 6, 8 ,9, 11, 12, 13, 14, 15, 16) Field 5th edition. - Extra information from exercises. - A brief overview of assumptions violations, effect sizes, null hypotheses and contrasts. - Notes from lectures .

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Summary of the book Multivariate Data Analysis (Hair et al), chapters 1, 3, 4, 6 11 and 12. These chapters are mandatory for the course 'Advanced Research Methods, part B' at Radboud University, Master Business Administration. The summary is quite large, but it entails a list of all definitions per chapter, all figures, tables and diagrams: all important information.

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- Summary
- • 119 pages •

Summary of the book Multivariate Data Analysis (Hair et al), chapters 1, 3, 4, 6 11 and 12. These chapters are mandatory for the course 'Advanced Research Methods, part B' at Radboud University, Master Business Administration. The summary is quite large, but it entails a list of all definitions per chapter, all figures, tables and diagrams: all important information.

Practice questions based on the lectures, the exercises, and the Field book. 40 MC questions with answers.

- Book
- Other
- • 11 pages •

Practice questions based on the lectures, the exercises, and the Field book. 40 MC questions with answers.

Includes summaries of chapters: Chapter 4: Exploring data with graphs Chapter 6: Correlations Chapter 7: Simple/Multiple Regressions Chapter 8: Logistic regression Chapter 9: Comparing two means Chapter 10: Comparing several means ANOVA Chapter 11: Analysis of Covariance ANCOVA Chapter 12: Factorial ANOVA (GLM3) Chapter 13: Repeated-measures designs (GLM4) Chapter 14: Mixed designs (GLM5) Chapter 16: Multivariate analysis of variance (MANOVA) Chapter 17: Exploratory factor analysis ...

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- Summary
- • 77 pages •

Includes summaries of chapters: Chapter 4: Exploring data with graphs Chapter 6: Correlations Chapter 7: Simple/Multiple Regressions Chapter 8: Logistic regression Chapter 9: Comparing two means Chapter 10: Comparing several means ANOVA Chapter 11: Analysis of Covariance ANCOVA Chapter 12: Factorial ANOVA (GLM3) Chapter 13: Repeated-measures designs (GLM4) Chapter 14: Mixed designs (GLM5) Chapter 16: Multivariate analysis of variance (MANOVA) Chapter 17: Exploratory factor analysis ...

Summary for the course "Multivariate Data Analysis" (MvDA) at Leiden University. The summary covers material from the lectures and from the readings.

- Summary
- • 36 pages •

Summary for the course "Multivariate Data Analysis" (MvDA) at Leiden University. The summary covers material from the lectures and from the readings.

Summary of all the lectures + practicals for Biosystems Data Analysis. It includes 4 lectures and all slides/videos/question hours belonging to those lectures. There are also notes/screenshots of some of my answers from the practicals.

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- Summary
- • 39 pages •

Summary of all the lectures + practicals for Biosystems Data Analysis. It includes 4 lectures and all slides/videos/question hours belonging to those lectures. There are also notes/screenshots of some of my answers from the practicals.

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A summary of ALL the important quantitative data analysis methods. The summary looks at the THEORY behind the analysis, the ASSUMPTIONS for each analysis, and explains the different methods; both how they are used and what they explain. Topics include: Multivariate data analysis, independent-sample T-test, ANOVA, F-Test, crosstabs, Multiple regression, logistic regression, conjoint analysis and full-profile analysis.

- Book
- Summary
- • 7 pages •

A summary of ALL the important quantitative data analysis methods. The summary looks at the THEORY behind the analysis, the ASSUMPTIONS for each analysis, and explains the different methods; both how they are used and what they explain. Topics include: Multivariate data analysis, independent-sample T-test, ANOVA, F-Test, crosstabs, Multiple regression, logistic regression, conjoint analysis and full-profile analysis.

PSYCHOLOGY 291 EXAM 4 STUDY GUIDE Exam 4 RDSA study guide Chapter 8 Study Guide 1. A study finds a correlation coefficient of r = .52. According to Cohen’s benchmarks, the magnitude of this effect is: a. modest. b. large. c. multiply determined. d. categorical. 2. Which of the following graph formats is the best way to examine an association claim between a categorical variable and a quantitative variable? a. A scatterplot b. A line graph c. A bar graph d. A pie chart 3. ...

- Exam (elaborations)
- • 28 pages •

PSYCHOLOGY 291 EXAM 4 STUDY GUIDE Exam 4 RDSA study guide Chapter 8 Study Guide 1. A study finds a correlation coefficient of r = .52. According to Cohen’s benchmarks, the magnitude of this effect is: a. modest. b. large. c. multiply determined. d. categorical. 2. Which of the following graph formats is the best way to examine an association claim between a categorical variable and a quantitative variable? a. A scatterplot b. A line graph c. A bar graph d. A pie chart 3. ...

EDR 610 Quiz 5 - Question and AnswersEDR 610 Quiz 5 - Question and Answers EDR 610 Quiz 5 - Question and Answers 1. Which of the following is a characteristic of non-experimental designs? 2. Which of the following non-experimental designs comes closest to examining causal relationships? 3. The school psychologist was asked by one teacher to develop a program to eliminate the disruptive behaviors of one of her students. The psychologist needed more information about how often the behavior occurre...

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- Exam (elaborations)
- • 8 pages •

EDR 610 Quiz 5 - Question and AnswersEDR 610 Quiz 5 - Question and Answers EDR 610 Quiz 5 - Question and Answers 1. Which of the following is a characteristic of non-experimental designs? 2. Which of the following non-experimental designs comes closest to examining causal relationships? 3. The school psychologist was asked by one teacher to develop a program to eliminate the disruptive behaviors of one of her students. The psychologist needed more information about how often the behavior occurre...

PSYCHOLOGY 291 EXAM 4 STUDY GUIDE Exam 4 RDSA study guide Chapter 8 Study Guide 1. A study finds a correlation coefficient of r = .52. According to Cohen’s benchmarks, the magnitude of this effect is: a. modest. b. large. c. multiply determined. d. categorical. 2. Which of the following graph formats is the best way to examine an association claim between a categorical variable and a quantitative variable? a. A scatterplot b. A line graph c. A bar graph d. A pie chart 3. When ...

- Exam (elaborations)
- • 28 pages •

PSYCHOLOGY 291 EXAM 4 STUDY GUIDE Exam 4 RDSA study guide Chapter 8 Study Guide 1. A study finds a correlation coefficient of r = .52. According to Cohen’s benchmarks, the magnitude of this effect is: a. modest. b. large. c. multiply determined. d. categorical. 2. Which of the following graph formats is the best way to examine an association claim between a categorical variable and a quantitative variable? a. A scatterplot b. A line graph c. A bar graph d. A pie chart 3. When ...

EDR 610 Quiz 5 - Question and AnswersEDR 610 Quiz 5 - Question and Answers EDR 610 Quiz 5 - Question and Answers 1. Which of the following is a characteristic of non-experimental designs? 2. Which of the following non-experimental designs comes closest to examining causal relationships? 3. The school psychologist was asked by one teacher to develop a program to eliminate the disruptive behaviors of one of her students. The psychologist needed more information about how often the beha...

- Bundle
- Exam (elaborations)
- • 8 pages •

EDR 610 Quiz 5 - Question and AnswersEDR 610 Quiz 5 - Question and Answers EDR 610 Quiz 5 - Question and Answers 1. Which of the following is a characteristic of non-experimental designs? 2. Which of the following non-experimental designs comes closest to examining causal relationships? 3. The school psychologist was asked by one teacher to develop a program to eliminate the disruptive behaviors of one of her students. The psychologist needed more information about how often the beha...