Archive: Statistics for Psychologists
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2023/2024
PSYC402
References
2023/2024
PSYC121
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
PSYC122
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
PSYC402
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
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
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
PSYC122
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
PSYC214
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
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
PSYC411
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
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
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
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
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2023/2024
PSYC402
References
References
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