Course description

Data Analysis for Psychology in R 1 (DAPR1) is a 1st year course in data analysis for psychological research, using the R software. This course will teach you how to collect, describe, plot, and analyse data, in order to extract meaningful insights.

Course Materials 2020/2021

Semester 1

Week	Lecture	Workbook
0	Course Intro	Intro to R & RStudio
1	Research Design & Data	Data Types
2	Describing Categorical Data	Categorical Data
3	Describing Continuous Data	Numerical Data
4	Describing Relationships	Relationships
5	Functions	Functions
6	– Break Week –	–
7	Intro to Probability	Probability Basics
8	Probability Rules	Probability Rules
9	Discrete Probability Distributions	Discrete Distributions
10	Continuous Probability Distributions	Continuous Distributions
11	Samples and Sampling Distributions	Sampling Distributions

Semester 2

Week	Lecture	Workbook
0	Semester 2 Intro	–
1	Bootstrap & Confidence Intervals	Bootstrap & CIs
2	Null Hypothesis Significance Testing - p values	Hypothesis Testing
3	Null Hypothesis Significance Testing - critical values	Critical Values
4	Connecting Confidence Intervals & NHST	CIs & NHST
5	Errors, Effect Sizes & Power	NHST: Types of Errors
6	– Break Week –	–
7	One Sample T Test	Test of One Sample Mean
8	Independent Samples T Test	Test of Two Sample Means
9	Paired Samples T Test	Test of Two Paired Samples Means
10	Chi-Square Tests	ChiSquare
11	Correlation	Covariance & Correlation