## Introduction to Mediation, Moderation, and Conditional Process Analysis: A Regression-Based ApproachGuilford Publications, 24 Jan 2022 - 732 halaman Acclaimed for its thorough presentation of mediation, moderation, and conditional process analysis, this book has been updated to reflect the latest developments in PROCESS for SPSS, SAS, and, new to this edition, R. Using the principles of ordinary least squares regression, Andrew F. Hayes illustrates each step in an analysis using diverse examples from published studies, and displays SPSS, SAS, and R code for each example. Procedures are outlined for estimating and interpreting direct, indirect, and conditional effects; probing and visualizing interactions; testing hypotheses about the moderation of mechanisms; and reporting different types of analyses. Readers gain an understanding of the link between statistics and causality, as well as what the data are telling them. The companion website (www.afhayes.com) provides data for all the examples, plus the free PROCESS download.New to This Edition *Rewritten Appendix A, which provides the only documentation of PROCESS, including a discussion of the syntax structure of PROCESS for R compared to SPSS and SAS. *Expanded discussion of effect scaling and the difference between unstandardized, completely standardized, and partially standardized effects. *Discussion of the meaning of and how to generate the correlation between mediator residuals in a multiple-mediator model, using a new PROCESS option. *Discussion of a method for comparing the strength of two specific indirect effects that are different in sign. *Introduction of a bootstrap-based Johnson–Neyman-like approach for probing moderation of mediation in a conditional process model. *Discussion of testing for interaction between a causal antecedent variable [ital]X[/ital] and a mediator [ital]M[/ital] in a mediation analysis, and how to test this assumption in a new PROCESS feature. |

### Isi

2 | 29 |

3 | 79 |

4 | 119 |

5 | 159 |

6 | 201 |

7 | 233 |

8 | 283 |

9 | 319 |

Conditional Process Analysis with a Multicategorical Antecedent | 491 |

MiscellaneousMiselaneu TopicsTopic and andSomeFrequentl Some Frequently Asked AskedQuestionQuestions 529529 | 531 |

A Using PROCESS | 579 |

References | 671 |

705 | |

716 | |

About the Author | 732 |

11 | 409 |

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### Istilah dan frasa umum

antecedent variable approach association behavior bootstrap confidence interval causal cause Chapter claim climate change climate change skepticism coding collectively command compared compute conditional effect conditional indirect effect conditional process conduct consequent constant constructed corresponding depends described diagram dichotomous difference direct and indirect discussed distribution effect of X equal equation error estimated example Figure focal frame function given groups hypothesis important indirect effect individually inference influence interaction interest interpretation Journal linear means measurement mediation analysis mediation model methods moderation multicategorical negative emotions OLS regression option outcome output participants paths perceived positive probing procedure protesting Psychology quantifies questions regression coefficients regression model relative represent sample scale sex discrimination simple SPSS standard standard deviation statistically statistically significant stress Table told total effect unit values X on Y X’s effect zero