Hayes, Andrew F. (2013). Introduction to Mediation, Moderation, and Conditional Process Analysis: A Regression-Based Approach. New York, NY: The Guilford Press

TLDR: Hayes as discussed by the authors presents a journey through regression-based approaches for mediation, moderation, and conditional process analysis, which is a method for combining mediation and moderation into one singular analysis.

Abstract: Regression-based analyses remain some of the most widely employed statistical approaches throughout research and scholarly work. It is remarkable that with the same simple OLS multiple regression model, such a rich variety of research questions may be addressed, ranging from simple questions of prediction and explanation to the more complex questions such as modeling mediated or moderated relationships or even modeling of moderated mediation analyses. Hayes’s Introduction to Mediation, Moderation, and Conditional Process Analysis: A Regression-Based Approach presents a journey through regression-based approaches beginning with the most simple regression approaches (correlation and simple linear regression), continuing through traditional uses of regression for mediation and moderation analysis, and culminating in a discussion of conditional process analysis: a method for combining mediation and moderation into one singular analysis. The book is very readable and conversational, providing many interesting and useful examples, which will be of interest to the intermediate to advanced regression user.