Data Science in Educational Research
1
Introduction
2
Getting Started
3
Accessing Data
4
Processing and Tidying Data
5
Data Visualization
6
Linear Models (Regression and ANOVA)
7
Linear Mixed Effects Models
8
Social Network Analysis
9
Factor Analysis
10
Latent Variable Models
11
Natural Language Processing
12
Cluster Analysis
13
Reproducibility
14
Communicating
Published with bookdown
Data Science in Educational Research
Chapter 14
Communicating