A Comprehensive Guide to Chi-Square Tests for Social Sciences

A Comprehensive Guide to Chi-Square Tests for Social Sciences: Theory, Applications, and Computing Using JASP offers a clear and practical introduction to one of the most widely used non-parametric statistical techniques in social science research. The book explains the theoretical foundations of the Chi-square test and demonstrates its core applications, including tests of independence and homogeneity, through step-by-step examples. Emphasis is placed on interpreting results in meaningful contexts rather than relying solely on statistical procedures.Beyond basic applications, the text explores important topics such as effect size measures, residual analysis, and the decomposition of the Chi-square statistic, enabling deeper insight into categorical data. It also addresses key assumptions and introduces alternative methods, such as Fisher's Exact Test, for small sample situations. A distinctive feature of the book is its integration with JASP, guiding readers in performing analyses and interpreting outputs. Designed for students and researchers, the book combines theory, application, and computation to support effective statistical practice.