Social science researchers in Africa often face difficulties in executing moderation analysis in a statistically robust manner. This is partly due to the complexity of available textbooks on the subject matter, which present moderation concepts in a statistically complex manner. As a result, many researchers struggle to understand the underlying concepts and may not be able to apply them effectively in their research.

To address this challenge, this new book has been published that presents moderation analysis in an easy-to-understand format for non-statisticians in social sciences. The book is designed to help researchers understand the concepts of moderation variable and moderation effects, and to provide guidance on data considerations in moderation analysis.

The book also covers the use of ANOVA and hierarchical regression analysis in moderation analysis, as well as hypothesis testing dynamics in moderation analysis. One of the unique features of the book is its coverage of floodlights and spotlight analysis, which are useful tools for probing moderation effects on X-Y relationships.

To facilitate the application of moderation analysis in research, the book also provides guidance on the use of SPSS and Hayes process macro for SPSS in moderation analysis. By presenting moderation analysis in a clear and accessible manner, this book provides a valuable resource for social science researchers in Africa who wish to incorporate moderation analysis in their research.