Course materials

Please note: materials are added incrementally as this course progresses through the year.

Semester 1

Week Topic Lecture slides Lab materials Readings
Sem. 1: Welcome Week Course introduction Slides
Sem. 1: Week 1 Research Design & Data Slides Lab Reading
Sem. 1: Week 2 Describing Categorical Data Slides Lab Reading
Sem. 1: Week 3 Describing Continuous Data Slides Lab Reading
Sem. 1: Week 4 Describing Relationships Slides Lab Reading
Sem. 1: Week 5 Functions Slides Lab Reading
Sem. 1: Week 6 Formative feedback week (A)
Sem. 1: Week 7 Probability Theory Slides Lab Reading
Sem. 1: Week 8 Probability Rules Slides Lab Reading
Sem. 1: Week 9 Random Variables (Discrete) Slides Lab Reading
Sem. 1: Week 10 Random Variables (Continuous) Slides Lab Reading
Sem. 1: Week 11 Sampling Slides Lab Reading
Sem. 1: Week 12 Formative feedback week (B)

Semester 2

Week Topic Lecture slides Lab materials Readings
Sem. 2: Week 1 Confidence intervals Slides Lab Reading
Sem. 2: Week 2 Hypothesis testing: p-values Slides Lab Reading
Sem. 2: Week 3 Hypothesis testing: critical values Slides Lab Reading
Sem. 2: Week 4 Connecting Hypothesis testing and confidence intervals Slides Lab Reading
Sem. 2: Week 5 Errors, Power, Effect size, and Assumptions Slides Lab Reading
Sem. 2: Week FLW Formative feedback week (C)
Sem. 2: Week 6 One sample t-test Slides – –
Sem. 2: Week 7 Independent samples t-test Slides – –
Sem. 2: Week 8 Paired samples t-test Slides – –
Sem. 2: Week 9 Chi-square tests Slides – –
Sem. 2: Week 10 Correlation Slides – –

Course description

Data Analysis for Psychology in R 1 (DAPR1) is a course taken by 1st year students in Psychology. It introduces you to data collection, description, and visualisation using the R programming language. In semester 2, you will also learn how to use experimental data to test simple research hypotheses.

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