Log In
Or create an account -> 
Imperial Library
  • Home
  • About
  • News
  • Upload
  • Forum
  • Help
  • Login/SignUp

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
  • ← Prev
  • Back
  • Next →
  • ← Prev
  • Back
  • Next →

Chief Librarian: Las Zenow <zenow@riseup.net>
Fork the source code from gitlab
.

This is a mirror of the Tor onion service:
http://kx5thpx2olielkihfyo4jgjqfb7zx7wxr3sd4xzt26ochei4m6f7tayd.onion