Introduction to mediation, moderation, and conditional process analysis: a regression-based approach
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
New York ; London
The Guilford Press
[2018]
|
| Ausgabe: | Second edition |
| Schriftenreihe: | Methodology in the social sciences
|
| Schlagworte: | |
| Online-Zugang: | EUV01 FUBA2 TUM01 UBA01 UBG01 UBW01 UBY01 UEI03 UER01 Inhaltsverzeichnis |
| Beschreibung: | 1 Online-Ressource (xx, 692 Seiten) Diagramme |
| ISBN: | 9781462534678 |
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| 246 | 1 | 3 | |a Mediation, moderation, and conditional process analysis |
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Datensatz im Suchindex
| _version_ | 1804178182173097984 |
|---|---|
| adam_text | Introduction to
Mediation, Moderation, and
Conditional Process Analysis
A Regression-Based Approach
SECOND EDITION
Andrew F Hayes
Series Editor’s Note by Todd D Little
THE GUILFORD PRESS
New York London
Contents
PART I FUNDAMENTALS
1 • Introduction
11A Scientist in Training 3
1 2 Questions of Whether, If, How, and When 5
1 3 Conditional Process Analysis 9
1 4 Correlation, Causality, and Statistical Modeling 15
1 5 Statistical and Conceptual Diagrams, and Antecedent
and Consequent Variables 19
1 6 Statistical Software 22
1 7 Overview of This Book 24
1 8 Chapter Summary 27
2 • Fundamentals of Linear Regression Analysis
2 1 Correlation and Prediction 30
2 2 The Simple Linear Regression Model 34
2 3 Alternative Explanations for Association 45
2 4 Multiple Linear Regression 48
2 5 Measures of Model Fit 54
2 6 Statistical Inference 56
2 7 Multicategorical Antecedent Variables 65
2 8 Assumptions for Interpretation and Statistical Inference 68
2 9 Chapter Summary 73
PART II MEDIATION ANALYSIS
3 • The Simple Mediation Model
3 1 The Simple Mediation Model 78
3 2 Estimation of the Direct, Indirect, and Total Effects of X 82
3 3 Example with Dichotomous X: The Influence of Presumed
Media Influence 86
3 4 Statistical Inference 93
XVIII
Contents
3 5
An Example with Continuous X: Economic Stress
among Small-Business Owners 107
3 6 Chapter Summary
112
4 • Causal Steps, Confounding, and Causal Order
113
4 1 What about Baron and Kenny? 113
4 2 Confounding and Causal Order 121
4 3 Effect Size 132
4 4 Statistical Power 140
4 5 Multiple Xs or Ys: Analyze Separately or Simultaneously? 141
4 6 Chapter Summary 146
5 • More Than One Mediator 147
5 1 The Parallel Multiple Mediator Model 149
5 2 Example Using the Presumed Media Influence Study 154
5 3 Statistical Inference 161
5 4 The Serial Multiple Mediator Model 167
5 5 Models with Parallel and Serial Mediation Properties 180
5 6 Complementarity and Competition among Mediators 183
5 7 Chapter Summary 186
6 • Mediation Analysis with a Multicategorical Antecedent 187
6 1 Relative Total, Direct, and Indirect Effects 189
6 2 An Example: Sex Discrimination in the Workplace 195
6 3 Using a Different Group Coding System 204
6 4 Some Miscellaneous Issues 212
6 5 Chapter Summary 215
7 1 Conditional and Unconditional Effects 223
7 2 An Example: Climate Change Disasters
and Humanitarianism 231
7 3 Visualizing Moderation 243
7 4 Probing an Interaction 248
7 5 The Difference between Testing for Moderation
and Probing It 259
7 6 Artificial Categorization and Subgroups Analysis 263
7 7 Chapter Summary 265
8 • Extending the Fundamental Principles of Moderation Analysis 267
8 1 Moderation with a Dichotomous Moderator 268
8 2 Interaction between Two Quantitative Variables 276
8 3 Hierarchical versus Simultaneous Entry 289
8 4 The Equivalence between Moderated Regression Analysis
and a2x2 Factorial Analysis of Variance 292
8 5 Chapter Summary 301
PART III MODERATION ANALYSIS
7 • Fundamentals of Moderation Analysis
219
Contents
XIX
9 • Some Myths and Additional Extensions of Moderation Analysis 303
9 1 Truths and Myths about Mean-Centering 304
9 2 The Estimation and Interpretation of Standardized Regression
Coefficients in a Moderation Analysis 313
93A Caution on Manual Centering and Standardization 319
9 4 More Than One Moderator 320
9 5 Comparing Conditional Effects 342
9 6 Chapter Summary 346
10 • Multicategorical Focal Antecedents and Moderators 349
10 1 Moderation of the Effect of a Multicategorical
Antecedent Variable 350
10 2 An Example from the Sex Discrimination in the Workplace
Study 354
10 3 Visualizing the Model 362
10 4 Probing the Interaction 366
10 5 When the Moderator Is Multicategorical 379
10 6 Using a Different Coding System 387
10 7 Chapter Summary 388
PART IV CONDITIONAL PROCESS ANALYSIS
11 • Fundamentals of Conditional Process Analysis 393
11 1 Examples of Conditional Process Models in the Literature 397
11 2 Conditional Direct and Indirect Effects 402
11 3 Example: Hiding Your Feelings from Your Work Team 407
11 4 Estimation of a Conditional Process Model Using PROCESS 414
11 5 Quantifying and Visualizing (Conditional) Indirect
and Direct Effects 417
11 6 Statistical Inference 423
11 7 Chapter Summary 430
12 • Further Examples of Conditional Process Analysis 431
12 1 Revisiting the Disaster Framing Study 432
12 2 Moderation of the Direct and Indirect Effects in a Conditional
Process Model 439
12 3 Statistical Inference 453
12 4 Mediated Moderation 459
12 5 Chapter Summary 467
13 • Conditional Process Analysis with a Multicategorical Antecedent 469
13 1 Revisiting Sexual Discrimination in the Workplace 470
13 2 Looking at the Components of the Indirect Effect of X 480
13 3 Relative Conditional Indirect Effects 487
13 4 Testing and Probing Moderation of Mediation 491
13 5 Relative Conditional Direct Effects 495
13 6 Putting It All Together 500
13 7 Further Extensions and Complexities 501
13 8 Chapter Summary 502
XX
Contents
PART V MISCELLANEA
14 • Miscellaneous Topics and Some Frequently Asked Questions 507
14 1 A Strategy for Approaching a Conditional Process Analysis 509
14 2 How Do I Write about This? 514
14 3 Should I Use Structural Equation Modeling Instead of
Regression Analysis? 527
14 4 The Pitfalls of Subgroups Analysis 530
14 5 Can a Variable Simultaneously Mediate and Moderate
Another Variable s Effect? 536
14 6 Interaction between X and M in Mediation Analysis 540
14 7 Repeated Measures Designs 541
14 8 Dichotomous, Ordinal, Count, and Survival Outcomes 545
14 9 Chapter Summary 546
APPENDICES
A • Using PROCESS 551
B • Constructing and Customizing Models in PROCESS 613
C • Monte Carlo Confidence Intervals in SPSS and SAS 633
References 637
Author Index 668
Subject Index 679
About the Author 692
Data files for the examples used in the book and files
containing the SPSS and SAS versions of PROCESS are
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| series2 | Methodology in the social sciences |
| spelling | Hayes, Andrew F. Verfasser (DE-588)103663003X aut Introduction to mediation, moderation, and conditional process analysis a regression-based approach Andrew F. Hayes Mediation, moderation, and conditional process analysis Second edition New York ; London The Guilford Press [2018] © 2018 1 Online-Ressource (xx, 692 Seiten) Diagramme txt rdacontent c rdamedia cr rdacarrier Methodology in the social sciences Regressionsanalyse (DE-588)4129903-6 gnd rswk-swf Prozessanalyse (DE-588)4136607-4 gnd rswk-swf (DE-588)4151278-9 Einführung gnd-content Regressionsanalyse (DE-588)4129903-6 s Prozessanalyse (DE-588)4136607-4 s DE-604 Erscheint auch als Druck-Ausgabe, Hardcover 978-1-4625-3465-4 Vorangegangen ist 2013 978-1-4625-1128-0 HEBIS Datenaustausch application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=030102954&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
| spellingShingle | Hayes, Andrew F. Introduction to mediation, moderation, and conditional process analysis a regression-based approach Regressionsanalyse (DE-588)4129903-6 gnd Prozessanalyse (DE-588)4136607-4 gnd |
| subject_GND | (DE-588)4129903-6 (DE-588)4136607-4 (DE-588)4151278-9 |
| title | Introduction to mediation, moderation, and conditional process analysis a regression-based approach |
| title_alt | Mediation, moderation, and conditional process analysis |
| title_auth | Introduction to mediation, moderation, and conditional process analysis a regression-based approach |
| title_exact_search | Introduction to mediation, moderation, and conditional process analysis a regression-based approach |
| title_full | Introduction to mediation, moderation, and conditional process analysis a regression-based approach Andrew F. Hayes |
| title_fullStr | Introduction to mediation, moderation, and conditional process analysis a regression-based approach Andrew F. Hayes |
| title_full_unstemmed | Introduction to mediation, moderation, and conditional process analysis a regression-based approach Andrew F. Hayes |
| title_short | Introduction to mediation, moderation, and conditional process analysis |
| title_sort | introduction to mediation moderation and conditional process analysis a regression based approach |
| title_sub | a regression-based approach |
| topic | Regressionsanalyse (DE-588)4129903-6 gnd Prozessanalyse (DE-588)4136607-4 gnd |
| topic_facet | Regressionsanalyse Prozessanalyse Einführung |
| url | http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=030102954&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
| work_keys_str_mv | AT hayesandrewf introductiontomediationmoderationandconditionalprocessanalysisaregressionbasedapproach AT hayesandrewf mediationmoderationandconditionalprocessanalysis |