Introduction to mediation, moderation, and conditional process analysis : a regression-based approach / Andrew F. Hayes.

Format:

Book

Author/Creator:

Hayes, Andrew F., author.

Contributor:

EBSCOhost.

Series:

Methodology in the social sciences

Language:

English

Subjects (All):

Social sciences--Statistical methods.

Social sciences.

Mediation (Statistics).

Regression analysis.

Physical Description:

1 online resource (xx, 732 pages) : illustrations.

polychrome

Edition:

Third edition.

Other Title:

Mediation, moderation, and conditional process analysis

Place of Publication:

New York : The Guilford Press, 2022.

System Details:

text file

Contents:

1.1 A Scientist in Training p. 3

1.2 Questions of Whether, If, How, and When p. 5

1.3 Conditional Process Analysis p. 9

1.4 Correlation, Causality, and Statistical Modeling p. 15

1.5 Statistical and Conceptual Diagrams, and Antecedent and Consequent Variables p. 19

1.6 Statistical Software p. 22

2 Fundamentals of Linear Regression Analysis p. 29

2.1 Correlation and Prediction p. 30

2.2 The Simple Linear Regression Model p. 35

2.3 Alternative Explanations for Association p. 46

2.4 Multiple Linear Regression p. 49

2.5 Measures of Model Fit p. 56

2.6 Statistical Inference p. 58

2.7 Multicategorical Antecedent Variables p. 67

2.8 Assumptions for Interpretation and Statistical Inference p. 70

Part II Mediation Analysis

3 The Simple Mediation Model p. 79

3.1 The Simple Mediation Model p. 80

3.2 Estimation of the Direct, Indirect, and Total Effects of X p. 84

3.3 Example with Dichotomous X: The Influence of Presumed Media Influence p. 88

3.4 Statistical Inference p. 95

3.5 An Example with Continuous X: Economic Stress among Small-Business Owners p. 110

4 Causal Steps, Scaling, Confounding, and Causal Order p. 119

4.1 What about Baron and Kenny? p. 119

4.2 Confounding and Causal Order p. 128

4.3 Effect Scaling p. 139

4.4 Multiple Xs or Ys: Analyze Separately or Simultaneously? p. 151

5 More Than One Mediator p. 159

5.1 The Parallel Multiple Mediator Model p. 161

5.2 Example Using the Presumed Media Influence Study p. 166

5.3 Statistical Inference p. 173

5.4 The Serial Multiple Mediator Model p. 180

5.5 Models with Parallel and Serial Mediation Properties p. 194

5.6 Complementarity and Competition among Mediators p. 197

6 Mediation Analysis with a Multicategorical Antecedent p. 201

6.1 Relative Total, Direct, and Indirect Effects p. 203

6.2 An Example: Sex Discrimination in the Workplace p. 209

6.3 Using a Different Group Coding System p. 219

6.4 Some Miscellaneous Issues p. 226

Part III Moderation Analysis

7 Fundamentals of Moderation Analysis p. 233

7.1 Conditional and Unconditional Effects p. 237

7.2 An Example: Climate Change Disasters and Humanitarianism p. 245

7.3 Visualizing Moderation p. 258

7.4 Probing an Interaction p. 263

7.5 The Difference between Testing for Moderation and Probing It p. 275

7.6 Artificial Categorization and Subgroups Analysis p. 278

8 Extending the Fundamental Principles of Moderation Analysis p. 283

8.1 Moderation with a Dichotomous Moderator p. 284

8.2 Interaction between Two Quantitative Variables p. 293

8.3 Hierarchical versus Simultaneous Entry p. 306

8.4 The Equivalence between Moderated Regression Analysis and a 2 × 2 Factorial ANOVA p. 308

9 Some Myths and Additional Extensions of Moderation Analysis p. 319

9.1 Truths and Myths about Mean-Centering p. 320

9.2 The Estimation and Interpretation of Standardized Regression Coefficients in a Moderation Analysis p. 329

9.3 A Caution on Manual Centering and Standardization p. 335

9.4 More Than One Moderator p. 336

9.5 Comparing Conditional Effects p. 358

10 Multicategorical Focal Antecedents and Moderators p. 365

10.1 Moderation of the Effect of a Multicategorical Antecedent Variable p. 366

10.2 An Example from the Sex Discrimination in the Workplace Study p. 370

10.3 Visualizing the Model p. 378

10.4 Probing the Interaction p. 383

10.5 When the Moderator Is Multicategorical p. 396

10.6 Using a Different Coding System p. 404

Part IV Conditional Process Analysis

11 Fundamentals of Conditional Process Analysis p. 409

11.1 Examples of Conditional Process Models in the Literature p. 413

11.2 Conditional Direct and Indirect Effects p. 417

11.3 Example: Hiding Your Feelings from Your Work Team p. 422

11.4 Estimation of a Conditional Process Model Using PROCESS p. 430

11.5 Quantifying and Visualizing (Conditional) Indirect and Direct Effects p. 433

11.6 Statistical Inference p. 439

12 Further Examples of Conditional Process Analysis p. 451

12.1 Revisiting the Disaster Framing Study p. 452

12.2 Moderation of the Direct and Indirect Effects in a Conditional Process Model p. 460

12.3 Statistical Inference p. 474

12.4 Mediated Moderation/481

13 Conditional Process Analysis with a Multicategorical Antecedent p. 491

13.1 Revisiting Sexual Discrimination in the Workplace p. 492

13.2 Looking at the Components of the Indirect Effect of X p. 502

13.3 Relative Conditional Indirect Effects p. 510

13.4 Testing and Probing Moderation of Mediation p. 513

13.5 Relative Conditional Direct Effects p. 517

13.7 Further Extensions and Complexities p. 524

Part V Miscellanea

14 Miscellaneous Topics and Some Frequently Asked Questions p. 529

14.1 A Strategy for Approaching a Conditional Process Analysis p. 531

14.2 How Do I Write about This? p. 537

14.3 Power and Sample Size Determination p. 549

14.4 Should I Use Structural Equation Modeling Instead of Regression Analysis? p. 552

14.5 The Pitfalls of Subgroups Analysis p. 556

14.6 Can a Variable Simultaneously Mediate and Moderate Another Variable's Effect? p. 561

14.7 Interaction between X and M in Mediation Analysis p. 565

14.8 Repeated Measures Designs p. 568

14.9 Dichotomous, Ordinal, Count, and Survival Outcomes p. 572.

Notes:

First edition: 2013.

Includes bibliographical references (pages 671-703) and indexes.

Electronic reproduction. Ipswich, MA Available via World Wide Web.

Description based on online resource; title from digital title page (viewed on January 10, 2022).

Other Format:

Print version: Hayes, Andrew F. Introduction to mediation, moderation, and conditional process analysis : a regression-based approach.

ISBN:

9781462549054

1462549055

Publisher Number:

99989607551

Access Restriction:

Restricted for use by site license.