Quantitative Analysis with JASP open-source software: Foundational Methods

The JASP Guide’s purpose is to assist the novice social science and education researcher in interpreting statistical output data using the JASP Statistical Analysis application. Or, I could say that this guide helps you understand quantitative analysis without the tears. Through the examples and guidance, you will be able to select the statistical test that is appropriate for your data, apply the inferential test to your data, and interpret a statistical test’s results table.

The Guide goes into the uses of some of the most common statistical tests and discusses some of the limitations of those tests, i.e. Chi-square using Contingency Tables (Test of Independence), t-Test (Independent, Paired, and One Sample), One-Way ANOVA, Correlation, and Simple Linear Regression.