Data Science in Educational Research
1
Introduction
2
Why a book on data science in educational research
3
Getting started and loading data
3.1
Install R Studio and R
3.2
Loading data
3.2.1
Loading CSV files
3.2.2
Loading Excel files
3.3
Loading SAV files
3.3.1
Google Sheets
3.4
Conclusion
4
Processing and Tidying Data
4.1
What you want to do
5
Processing and Tidying Data
5.1
What you want to do
6
Data Visualization
7
Linear Models (Regression and ANOVA)
8
Linear Mixed Effects Models
9
Social Network Analysis
10
Factor Analysis
11
Latent Variable Models
12
Natural Language Processing
13
Cluster Analysis
14
Reproducibility
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Data Analysis for Educational Research in R
Chapter 5
Processing and Tidying Data
5.1
What you want to do
Go from wide form to long form
Go from long form to wide form
Aggregate data