The introduction in Chapters 11 and 12 of a bootstrap-based Johnson-Neyman-like approach for probing moderation of mediation in a conditional process model, with R code for generating a visual depiction of regions of significance.. An expanded discussion and illustration in Chapter 5 of the partial correlation between mediators in a multiple mediator model and the generation of this correlation using a new PROCESS option.. A new discussion in Chapter 5 about a method for comparing the strength of two specific indirect effects that are different in sign. A more detailed discussion of effect scaling and the difference between unstandardized, completely standardized, and partially standardized effects in Chapters 3 and 4 and the implementation of standardized regression coefficients in PROCESS.. A substantially rewritten Appendix A to reflect new features added to PROCESS since the second edition, including a discussion of similarities and differences in the syntax structure in PROCESS for R compared to PROCESS for SPSS and SAS. 
New code for R users accompanying every example, including PROCESS for R released in 2020.Below is a nonexhaustive list of the some of changes in this edition relative to the second edition: Other changes include the addition of new sections dispersed throughout the book. Yet most pages are a bit different, most significantly the result of adding syntax support for R users and the release of PROCESS for R. The sequence of chapters in the third edition is consistent with the second edition, and the vast majority of material in the second edition has been retained.
The third edition is a bit longer than the second edition by about 30 pages. Take a class from me on the topic of this book.
0 kommentar(er)
