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Index
Cover
Title Page
Copyright
Dedication
Editorial Board
Handbook of Psychology Preface
Volume Preface
Contributors
Part I: Foundations of Research Issues
Chapter 1: Experimental Design
Some Basic Experimental Design Concepts
Three Building Block Designs
Classification of Experimental Designs
Factorial Designs
Randomized Block Factorial Design
Factorial Designs With Confounding
Hierarchical Designs
Experimental Designs With a Covariate
References
Chapter 2: Exploratory Data Analysis
History, Rationale, and Philosophy of EDA
Hallmarks of EDA
Current Computing and Future Directions
Conclusion
References
Chapter 3: Statistical Power Analysis
General Introduction
Overview of Statistical Power
Effect Size
Why Be Concerned About Power?
Factors Affecting Statistical Power
Other Factors and Issues Related to Power
Statistical Power and the Interpretation of Null Results
Final Thoughts and Suggestions for Further Reading
Summary and Conclusions
References
Chapter 4: Methods for Handling Missing Data
A Little History
A Little Philosophy
Missing Data Patterns and Mechanisms
“Old” (Unacceptable) Procedures for Analysis With Missing Data
Acceptable Model-Based Missing Data Procedures
Acceptable Data-Based Missing Data Procedures
A Comparison of Model-Based and Data-Based Procedures
Illustrations of Missing Data Procedures: Empirical Examples
A Few Loose Ends
References
Appendix A
Chapter 5: Effect Size Estimation and Confidence Intervals
Why Estimation?
Effect Sizes
Confidence Intervals
Means
Pearson Correlations
Proportions
Cohen's d
Precision for Planning: Sample Size Calculations
Further Effect Sizes
Summary and Conclusions
References
Chapter 6: Exploratory Factor Analysis: Basics and Beyond
Overview
Background: Historical Context
Part 1: What EFA Is; What EFA Is Not
Beginning Steps: Who and What Will Be Analyzed
Extraction Methods: How Will Latent Constructs Be Formed?
What Really Matters: Methods to Determine How Many Constructs to Retain
Rotation: Making Sense of What You Have
Naming Latent Constructs
Part 2: An Illustration
Part 3: Ways to Evaluate the Robustness of EFA Solutions
Conclusion
References
Chapter 7: Clustering and Classification Methods
Introduction
Data Preparation and Representation
Steps in a Cluster Analysis
Discussion and Extensions
References
Part II: Research Methods in Specific Content Areas
Chapter 8: Clinical Forensic Psychology
Descriptive Clinical Forensic Assessment
Predictive Clinical Forensic Assessment
Research Regarding Legally Relevant Diagnostic Constructs and Response Styles
Research Regarding the Effectiveness of Treatment and Risk Management Strategies
Conclusion
References
Chapter 9: Health Psychology
Thematic Research Areas in Health Psychology
Levels of Analysis in Health Psychology
Major Issues in Study Design and Analysis
Measurement of Major Constructs in Health Psychology
Emerging Trends in Health Psychology
Concluding Comments
References
Chapter 10: Research Methods in Neuropsychology
Neuropsychological Inference
Neuropsychological Analysis of Brain-Impairment: The Lesion Approach
Reversible Lesion Methods
Human Laterality Paradigms
Electrophysiological and Psychophysiological Approaches
Structural and Functional Brain Imaging
Summary and Conclusions
References
Chapter 11: Research Designs for Program Evaluation
Introduction
Using Potential Outcomes to Define Causal Inference in Program Evaluation
The Randomized Experiment
The Regression-Discontinuity Design
The Interrupted Time Series Design
Nonequivalent Comparison Group Design
Are Causally Valid Treatment Effects Enough for Good Program Evaluation?
References
Chapter 12: Behavior Genetics
Introduction to Basic Concepts in Genetics
Mendelian Genetics
Complex Traits
Biometric Study Designs
Genomic Study Designs
Current Issues in Behavior Genetics
Conclusions
Glossary
References
Part III: Measurement Issues
Chapter 13: Mood Measurement: Current Status and Future Directions
The Structure of Affective Experience
General Issues in Construct Validity
Recommendations for Future Research
References
Chapter 14: Measuring Personality and Psychopathology
Traditional Approaches to Personality Test Construction
The Construct Validation Approach
Constructs
Procedures in Test Construction
Test Validation and Extension
Conclusion
References
Chapter 15: Utilizing Mixed Methods in Psychological Research
Epilogue: One World, Many Lenses
References
Chapter 16: Item Response Theory and Measuring Abilities
Classical Test Theory (CTT)
Item Response Theory (IRT)
Overall Summary
References
Chapter 17: An Overview of Latent Curve and Latent Change Score Analyses
Introduction
Basic Principles of Latent Curve Analysis
Substantive Examples of Latent Curve Analysis
Alternative Latent Growth Curve Representations
Dealing With Incomplete Data in Growth and Change Models
Recent Innovations in Latent Curve Models
Conclusions and Final Questions
References
Part IV: Data Analysis Issues
Chapter 18: Multiple Linear Regression
What Is Multiple Regression Analysis?
The Structure of Multiple Regression Analysis
Numerical Example: Predicting Intention to Obtain a Mammogram
Testing Hypotheses With Multiple Regression Analyses
Model Checking and Detecting Regression Problems
Summary
References
Chapter 19: Logistic Regression: Basic Foundations and New Directions
Models for a Binary Response
Multinomial Response Models
New Directions
References
Chapter 20: Meta-Analysis
Why We Need Meta-Analysis
The Myth of the Perfect Study
Some Relevant History
Meta-Analysis Versus Significance Testing
Is Statistical Power the Solution?
Organization of Remainder of This Chapter
Bare Bones Meta-Analysis
Other Artifacts and Their Effects
More Advanced Methods of Meta-Analysis
Methods That Correct Each r- or d-Value Independently
Meta-Analysis Using Artifact Distributions
Classification of Meta-Analysis Methods
Unresolved Problems in Meta-Analysis
The Role of Meta-Analysis in Theory Development
Meta-Analysis in Industrial-Organizational Psychology and Other Applied Areas
Wider Impact of Meta-Analysis on Psychology
Impact of Meta-Analysis Outside Psychology
Conclusions
References
Chapter 21: Survival Analysis
Survival Analysis
The Building Blocks of Survival Analysis
Research Design: Collecting Event-History Data
Analyzing Survival Data: Modeling the Risk of Event Occurrence in Continuous-Time
Analyzing Survival Data: Modeling Risk of Event Occurrence in Discrete-Time
Next Steps: Learning More About Survival Analysis
References
Chapter 22: Time Series Analysis for Psychological Research
Overview of Time Series Analysis
Model Identification
Interrupted Time Series Analysis
Generalizability Issues
Multivariate Time Series Analysis
Dynamic Factor Analysis
Other Issues
Summary and Conclusions
References
Chapter 23: Structural Equation Modeling
A Four-Stage General Process of Modeling
Model Estimation Techniques and Test Statistics
Model Evaluation
Model Modification
Multiple Group Models
A Guide to Some Recent Literature
References
Chapter 24: An Introduction to Latent Class and Latent Transition Analysis
Introduction
Latent Class Analysis
A Latent Class Example: Adolescent Depression
Longitudinal Extensions: Repeated-Measures LCA and LTA
Some Recent Extensions to LCA
Areas for Future Research Related to LCA
Conclusions
References
Chapter 25: Statistical Mediation Analysis
Introduction
Mediation Regression Equations
Causal Inference for the Mediation Model
Comprehensive Mediation Models (Covariance Structure and SEM Models)
Moderation and Mediation
Multilevel Mediation Models
Longitudinal Mediation Models
Summary and Future Directions
References
Author Index
Subject Index
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