Archive: Statistics for Psychologists
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    • 2023/2024
      • PSYC121
        • 1. Introduction to PSYC121
        • 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
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