Bayesian Statistical Analysis Using JASP: Volume Two Bayesian Approaches

by Christopher P. Halter

The JASP Guide's purpose is to assist the novice social science and educational researcher in interpreting statistical output data using the JASP Statistical Analysis application. 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, Correlation, and Linear Regression. The JASP application supports both Frequentist and Bayesian procedures. This guide is part of a two volume series. Volume Classical Statistical Analysis Using JASP covers the basic Frequentists analysis methods for both parametric and non-parametric data. Volume Bayesian Statistical Analysis Using JASP covers the basic Bayesian analysis methods for both parametric and non-parametric data.

167 pages, Paperback

Published November 15, 2018