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| Fundamental Concepts | |
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| Introduction | |
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| A Scientist in Training | |
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| Questions of Whether, If, How, and When | |
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| Conditional Process Analysis | |
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| Correlation, Causality, and Statistical Modeling | |
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| Statistical Software | |
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| Overview of This Book | |
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| Chapter Summary | |
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| Simple Linear Regression | |
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| Correlation and Prediction | |
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| The Simple Linear Regression Equation | |
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| Statistical Inference | |
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| Assumptions for Interpretation and Statistical Inference | |
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| Chapter Summary | |
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| Multiple Linear Regression | |
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| The Multiple Linear Regression Equation | |
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| Partial Association and Statistical Control | |
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| Statistical Inference in Multiple Regression | |
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| Statistical and Conceptual Diagrams | |
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| Chapter Summary | |
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| Mediation Analysis | |
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| The Simple Mediation Model | |
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| The Simple Mediation Model | |
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| Estimation of the Direct, Indirect, and Total Effects of X | |
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| Example with Dichotomous X: The Influence of Presumed Media Influence | |
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| Statistical Inference | |
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| An Example with Continuous X: Economic Stress among Small-Business Owners | |
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| Chapter Summary | |
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| Multiple Mediator Models | |
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| The Parallel Multiple Mediator Model | |
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| Example Using the Presumed Media Influence Study | |
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| Statistical Inference | |
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| The Serial Multiple Mediator Model | |
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| Complementarity and Competition among Mediators | |
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| OLS Regression versus Structural Equation Modeling | |
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| Chapter Summary | |
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| Miscellaneous Topics in Mediation Analysis | |
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| What about Baron and Kenny? | |
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| Confounding and Causal Order | |
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| Effect Size | |
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| Multiple Xs or Ys: Analyze Separately or Simultaneously? | |
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| Reporting a Mediation Analysis | |
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| Chapter Summary | |
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| Moderation Analysis | |
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| Fundamentals of Moderation Analysis | |
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| Conditional and Unconditional Effects | |
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| An Example: Sex Discrimination in the Workplace | |
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| Visualizing Moderation | |
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| Probing an Interaction | |
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| Chapter Summary | |
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| Extending Moderation Analysis Principles | |
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| Moderation Involving a Dichotomous Moderator | |
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| Interaction between Two Quantitative Variables | |
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| Hierarchical versus Simultaneous Entry | |
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| The Equivalence between Moderated Regression Analysis and a 2 � 2 Factorial Analysis of Variance | |
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| Chapter Summary | |
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| Miscellaneous Topics in Moderation Analysis | |
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| Truths and Myths about Mean Centering | |
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| The Estimation and Interpretation of Standardized Regression Coefficients in a Moderation Analysis | |
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| Artificial Categorization and Subgroups Analysis | |
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| More Than One Moderator | |
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| Reporting a Moderation Analysis | |
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| Chapter Summary | |
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| Conditional Process Analysis | |
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| Fundamentals of Conditional Process Analysis | |
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| Examples of Conditional Process Models in the Literature | |
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| Conditional Direct and Indirect Effects | |
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| Example: Hiding Your Feelings from Your Work Team | |
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| Statistical Inference | |
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| Conditional Process Analysis in PROCESS | |
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| Chapter Summary | |
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| Further Examples of Conditional Process Analysis | |
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| Revisiting the Sexual Discrimination Study | |
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| Moderation of the Direct and Indirect Effects in a Conditional Process Model | |
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| Visualizing the Direct and Indirect Effects | |
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| Mediated Moderation | |
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| Chapter Summary | |
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| Miscellaneous Topics in Conditional Process Analysis | |
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| A Strategy for Approaching Your Analysis | |
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| Can a Variable Simultaneously Mediate and Moderate Another Variable's Effect? | |
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| Comparing Conditional Indirect Effects and a Formal Test of Moderated Mediation | |
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| The Pitfalls of Subgroups Analysis | |
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| Writing about Conditional Process Modeling | |
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| Chapter Summary | |
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| Appendices | |
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| Using PROCESS | |
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| Monte Carlo Confidence Intervals in SPSS and SAS | |
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| References | |
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| Author Index | |
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| Subject Index | |
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| About the Author | |