Data Codebooks
Statistical Modeling and Computation for Educational Scientists
Front Matter
Introduction to Statistical Computation
1
R and RStudio: Installation and Setup
2
Getting Started with R
3
Data Structures in R
4
Data Wrangling with dplyr
5
Visualizing Data with ggplot2
Introduction to Regression
6
Data Exploration for Regression
7
Simple Linear Regression and Correlation
8
Ordinary Least Squares (OLS) Estimation
9
ANOVA Decomposition and
\(R^2\)
10
Standardized Regression
Regression Inference
11
Coefficient-Level Inference
12
Model-Level Inference
13
Assumptions Underlying the Regression Model
Multiple Regression
14
Introduction to Multiple Regression
15
Multiple Regression: ANOVA Decomposition
16
Understanding Statistical Control
17
Assumptions: Multiple Regression
Categorical Predictors
18
Dichotomous Categorical Predictors
19
Polychotomous Categorical Predictors
20
Multiple Comparisons
Interaction Effects
21
Introduction to Interaction Effects
22
More Interaction Effects
Data Codebooks
23
broadband.csv
24
comic-characters.csv
25
fertility.csv
26
gapminder.csv
27
keith-gpa.csv
28
mn-schools.csv
29
pew.csv
30
riverview.csv
31
scoobydoo.csv
32
spice-girls.csv
33
state-education.csv
34
work-demands.csv
Data Codebooks
In this section you can find the codebook associated with each of the datasets used in the book.
22
More Interaction Effects
23
broadband.csv