Christopher P Halter

Quantitative Analysis: with JASP open-source software Christopher P Halter

This introduction to quantitative analysis is designed is to assist the novice social science and educational researcher in interpreting statistical output data using the JASP open-source statistical analysis software. 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 output table. These analysis methods include Contingency Tables, t-Tests, ANOVA, ANCOVA, Correlation, Linear Regression, Binomial tests, and Binomial Logistic Regression. The guide also includes procedures for Reliability and Exploratory Factor Analysis (EFA). The JASP application supports both Frequentist and Bayesian procedures. This guide is an update from Exploring Statistical Analysis (2018).