Time and place: Thursdays 12pm - 3pm, Psychology 101
Overview: This course is designed to introduce psychology students to the basic ideas and techniques underlying the design of psychological experiments and the statistical analysis of data. Topics will include:
• Basic experimental design
• Probability and probability distributions
• The logic of conventional null hypothesis significance testing (NHST)
• Basic NHST techniques such as correlation, regression, t-tests, and analysis of variance
• The logic of Bayesian inference
• Basic Bayesian (and approximately Bayesian) techniques including Bayes factors, AIC and BIC.
*Any edition should suffice, though chapter numbers differ among editions, so be careful. Chapter numbers below are based on the 7th edition.
Additional readings: There will be several additional readings, available on the Sakai site and linked below.
Software practicum: Serena will lead weekly sessions (during class time) focusing on the statistical package R.
Assignments and other graded exercises: Links to problem sets will be added below as they are assigned.
Announcements will be sent via Sakai.
Schedule of topics and readings:
|Week 1||Introduction: Experimental design||G&W chs. 1, 2; McElreath ch. 1|
|Week 2||Descriptive statistics and distributions||G&W chs. 3, 4; Cohen 1994|
|Week 3||Probability; Bayesian inference||G&W chs. 5, 6; McElreath ch. 2|
|Week 4||Sampling distributions||G&W chs. 7, 8; Wagenmakers 2007|
|Week 5||Null hypothesis significance testing||G&W chs. 9,10; McElreath ch. 3|
|Week 6||t-tests||G&W ch. 11; Gallistel 2009|
|Week 7||One-way analysis of variance||G&W chs. 12*, 13 (Introduction to ANOVA); McElreath ch. 4|
|Week 8||Multivariate analysis of variance||G&W ch. 14 (repeated measures), 15 (Two-factor ANOVA);|
|Week 9||Correlation and regression||G&W ch. 16 (correlation); 17 (Introduction to regression); McElreath ch. 5|
|Week 10||Chi-square etc.||G&W ch. 18 (Chi-square); 19 (Binomial)|
|Week 11||Bayes factors, AIC and BIC||
McElreath Ch. 6; Masson 2010