Archive: Statistics for Psychologists
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2024/2025
PSYC121
Statistics for Psychologists I
Data
Week 6
Week_6
2023/2024
PSYC121
Statistics for Psychologists I
Statistics for Psychologists
2. Descriptive statistics in RStudio
3. DVs and IVs in RStudio
4. Customisation of graphs, and z-scores
5. Class test
6. Sampling, probability and binomial tests
7. Filtering data and testing means (one-sample t-test)
8. Related-samples t-tests, plotting means and SE bars
9. Unrelated-samples t-test and Power
Data
Week 6
Week_6
Week 9
PSYC121: Week 9 Lab
PSYC122
Statistics for Psychologists II
1. Week 11 - Correlation
2. Week 12 - Correlation Part 2
3. Week 13 - The Linear Model
4. Week 14 - Chi-Square
5. Week 16 – Hypotheses, associations
6. Week 17 – Better understanding the linear model
7. Week 18 – Developing the linear model
8. Week 19 – Linear models – critical perspectives
Data
Week11
122_wk11_labActivities2_3
Week12
122_wk12_labActivity2
Week13
122_wk13_labActivity2
Week14
122_wk13_labActivity2
Week16
2023-24-PSYC122-w16-how-to
2023-24-PSYC122-w16-workbook-answers
Week17
2023-24-PSYC122-w17-how-to
2023-24-PSYC122-w17-workbook-answers
Week18
2023-24-PSYC122-w18-how-to
2023-24-PSYC122-w18-workbook-answers
Week19
2023-24-PSYC122-w19-how-to
2023-24-PSYC122-w19-workbook-answers
PSYC402
Part1
1. Recap of the linear model and practising data-wrangling in R
2. Categorical predictors
3. More on interactions
4. Logistic regression
5. Poisson regression
Preface
Introduction to multilevel data
Introduction to linear mixed-effects models
Developing linear mixed-effects models
Introduction to Generalized Linear Mixed-effects Models
Introduction to Ordinal Models
How
Introduction: the why
R knowledge
LICENSE
References
Summary
Data visualization
What
2024/2025
PSYC121
Statistics for Psychologists I
Statistics for Psychologists
2. Descriptive statistics in RStudio
3. DVs and IVs in RStudio
4. Customisation of graphs, and z-scores
5. Class test
6. Sampling, probability and binomial tests
7. Filtering data and testing means (one-sample t-test)
8. Related-samples t-tests, plotting means and SE bars
9. Unrelated-samples t-test and Power
Data
Week 6
Week_6
Week 9
PSYC121: Week 9 Lab
PSYC122
Statistics for Psychologists II
1. Week 11 - Correlation
2. Week 12 - Correlation Part 2
3. Week 13 - The Linear Model
4. Week 14 - Chi-Square
5. Week 16 – Hypotheses, associations
6. Week 17 – Better understanding the linear model
7. Week 18 – Developing the linear model
8. Week 19 – Linear models – critical perspectives
Data
Week11
122_wk11_labActivities2_3
wk11
Week12
122_wk12_labActivity2
Week13
122_wk13_labActivity2
Week14
122_wk13_labActivity2
Week16
PSYC122-w16-how-to
PSYC122-w16-workbook-answers
Week17
PSYC122-w17-how-to
PSYC122-w17-workbook-answers
Week18
PSYC122-w18-how-to
PSYC122-w18-workbook-answers
Week19
PSYC122-w19-how-to
PSYC122-w19-workbook-answers
PSYC214
Statistics for Group Comparisons
Statistics for Psychologists
Statistics for Psychologists
Statistics for Psychologists
Statistics for Psychologists
Statistics for Psychologists
Statistics for Psychologists
Statistics for Psychologists
Statistics for Psychologists
Statistics for Psychologists
PSYC234
From association to modelling causality
1. Review of correlation, simple regression and demonstration of multiple regression
2. Multiple Regression Including Categorical Predictors
3. Multiple Regression Models that Include Interactions (Moderated Variables)
4. Mediation
5. Factor Analysis and the Binomial Test
6. Wilcoxon rank-sum test and Wilcoxon signed-rank test
7. Kruskal-Wallis test and Friedman’s ANOVA
8. Binary logistic regression models
9. Expanding on binary logistic regression
Data
Wk1
PSYC234 Week 11
Correlation_Review_2025
Multiple_Regression
Simple Regression Review
Wk3
Lecture 3 Materials
Multiple_Regression_With_Interactions
PSYC411
Part1
Week 1. Introducing Data
Week 2. Manipulating data
Week 3. Drawing graphs from data
Week 4. Testing nominal data
Week 5. Testing differences between groups
Part2
Week 6. The structured research report – Quick start
Week 6. How you can do the analysis work
Week 6. Why we are asking you to do this
Week 7. Hypotheses and associations
Week 8. Introduction to the linear model
Week 9. Data visualization practices
Week 10. Developing the linear model
PSYC412
Part1
Week 11. Recap of the linear model and practising data-wrangling in R
Week 12. Categorical predictors
Week 13. More on interactions
Week 14. Logistic regression
Week 15. Poisson regression
Part2
Week 16. Workbook introduction to multilevel data
Week 16. Conceptual introduction to multilevel data
Week 17. Workbook introduction to mixed-effects models
Week 17. Conceptual introduction to mixed-effects models
Week 18. Developing linear mixed-effects models
Week 18. Conceptual introduction to developing linear mixed-effects models
Week 19. Workbook introduction to Generalized Linear Mixed-effects Models
Week 19. Conceptual introduction to Generalized Linear Mixed-effects Models
Week 20. Workbook introduction to Ordinal (Mixed-effects) Models
Week 20. Conceptual introduction to Ordinal (Mixed-effects) Models
Week 00. The structured research report – Requirements
Week 00. Writing reproducible reports using Quarto
LICENSE
2025/2026
PSYC121
Statistics for Psychologists I
Statistics for Psychologists
2. Descriptive statistics in RStudio
3. DVs and IVs in RStudio
4. Customisation of graphs, and z-scores
5. Class test
6. Sampling, probability and binomial tests
7. Filtering data and testing means (one-sample t-test)
8. Related-samples t-tests, plotting means and SE bars
9. Unrelated-samples t-test and Power
Data
Week 6
Week_6
Week 9
PSYC121: Week 9 Lab
PSYC122
Statistics for Psychologists II
Introduction to Part 1
1. Week 11 - Correlation
2. Week 12 - Correlation Part 2
3. Week 13 - The Linear Model
4. Week 14 - Chi-Square
5. Week 16 – Hypotheses, associations
6. Week 17 – Better understanding the linear model
7. Week 18 – Developing the linear model
8. Week 19 – Linear models – interactions
Data
Week11
122_wk11_labActivities2_3
wk11
Week12
122_wk12_labActivity2
Week13
122_wk13_labActivity2
Week14
122_wk13_labActivity2
Week16
PSYC122-w16-how-to
PSYC122-w16-workbook-answers
Week17
PSYC122-w17-how-to
PSYC122-w17-workbook-answers
Week18
PSYC122-w18-how-to
PSYC122-w18-workbook-answers
Week19
PSYC122-w19-how-to
PSYC122-w19-workbook-answers
PSYC214
Statistics for Group Comparisons
Statistics for Psychologists
Statistics for Psychologists
Statistics for Psychologists
Statistics for Psychologists
Statistics for Psychologists
Statistics for Psychologists
Statistics for Psychologists
Statistics for Psychologists
Statistics for Psychologists
PSYC234
From association to modelling causality
1. Review of correlation, simple regression and demonstration of multiple regression
2. Multiple Regression Including Categorical Predictors
3. Multiple Regression Models that Include Interactions (Moderated Variables)
4. Mediation
5. Factor Analysis and the Binomial Test
6. Wilcoxon rank-sum test and Wilcoxon signed-rank test
7. Kruskal-Wallis test and Friedman’s ANOVA
8. Binary logistic regression models
9. Expanding on binary logistic regression
Data
Wk1
Week 11 234 Materials
Correlation_Review
Multiple Regression
Simple Regression Review
Wk3
Lab Week 13 Materials
Lab_Week_13_Interactions
Lecture Week 13 Materials
Multiple_Regression_With_Interactions
Wk4
Wk14 Lecture Lab R Upload Materials
Multiple_Regression_Mediation_Student
Multiple_Regression_Mediation
PSYC411
Part1
Week 1. Introducing Data
Week 2. Manipulating data
Week 3. Drawing graphs from data
Week 4. Testing nominal data
Week 5. Testing differences between groups
Part2
Week 6. The structured research report – Quick start
Week 6. How you can do the analysis work
Week 6. Why we are asking you to do this
Week 7. Hypotheses and associations
Week 8. Introduction to the linear model
Week 10. Developing the linear model
PSYC412
Part1
Week 11. Recap of the linear model and practising data-wrangling in R
Week 12. Categorical predictors
Week 13. More on interactions
Week 14. Logistic regression
Week 15. Poisson regression
Part2
Week 16. Workbook introduction to multilevel data
Week 16. Conceptual introduction to multilevel data
Week 17. Workbook introduction to mixed-effects models
Week 17. Conceptual introduction to mixed-effects models
Week 18. Developing linear mixed-effects models
Week 18. Conceptual introduction to developing linear mixed-effects models
Week 19. Workbook introduction to Generalized Linear Mixed-effects Models
Week 19. Conceptual introduction to Generalized Linear Mixed-effects Models
Week 20. Workbook introduction to Ordinal (Mixed-effects) Models
Week 20. Conceptual introduction to Ordinal (Mixed-effects) Models
Week 00. The structured research report – Requirements
Week 00. Writing reproducible reports using Quarto
LICENSE
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Week 6 lab
Task 1 - card sampling
2024/2025
PSYC121
Statistics for Psychologists I
Data
Week 6
Week_6
Week_6
Published
November 7, 2023
Week 6 lab
Task 1 - card sampling
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9. Unrelated-samples t-test and Power
PSYC121: Week 9 Lab