Reporting statistical analyses
Quantitative methods and statistics with examples in R, Jamovi and JASP
Introduction
Describing data
1
Data and variables
2
Describing data
3
Data distributions
4
Visualizing data
5
Reproducible reports
Associations
6
The linear model
7
Correlations
8
Predictions, linear and curve-linear relationships
9
Categorical predictors and multiple regression
10
Predictions and interactions
11
Generalized linear models
12
Mixed models
Statistical inference
13
Samples, populations, estimates and their uncertainty
14
What is the
p
-value?
15
Hypothesis tests and statistical power
Reporting statistical analyses
16
Case studies
References
Reporting statistical analyses
15
Hypothesis tests and statistical power
16
Case studies