Book contents
- Handbook of Research Methods in Social and Personality Psychology
- Cambridge Handbooks in Psychology
- Handbook of Research Methods in Social and Personality Psychology
- Copyright page
- Contents
- Figures
- Tables
- Contributors
- Introduction
- 1 The Romance of Research Methods
- Part I Before You Dive In
- Part II Basic Design Considerations to Know, No Matter What Your Research Is About
- Part III Deep Dives on Methods and Tools for Testing Your Question of Interest
- Part IV Understanding What Your Data Are Telling You About Psychological Processes
- 20 Measurement
- 21 Advanced Psychometrics
- 22 Dealing with Repeated Measures
- 23 The Design and Analysis of Data from Dyads and Groups
- 24 Random Factors and Research Generalization
- 25 Combining Statistical and Causal Mediation Analysis
- 26 Mathematical and Computational Models
- 27 Meta-analysis
- Index
- References
26 - Mathematical and Computational Models
from Part IV - Understanding What Your Data Are Telling You About Psychological Processes
Published online by Cambridge University Press: 12 December 2024
Book contents
- Handbook of Research Methods in Social and Personality Psychology
- Cambridge Handbooks in Psychology
- Handbook of Research Methods in Social and Personality Psychology
- Copyright page
- Contents
- Figures
- Tables
- Contributors
- Introduction
- 1 The Romance of Research Methods
- Part I Before You Dive In
- Part II Basic Design Considerations to Know, No Matter What Your Research Is About
- Part III Deep Dives on Methods and Tools for Testing Your Question of Interest
- Part IV Understanding What Your Data Are Telling You About Psychological Processes
- 20 Measurement
- 21 Advanced Psychometrics
- 22 Dealing with Repeated Measures
- 23 The Design and Analysis of Data from Dyads and Groups
- 24 Random Factors and Research Generalization
- 25 Combining Statistical and Causal Mediation Analysis
- 26 Mathematical and Computational Models
- 27 Meta-analysis
- Index
- References
Summary
This chapter provides a categorization of mathematical and computational models, and discusses the purposes they serve and criteria for evaluating models. Models considered include statistical models, descriptive models, measurement models, structural models, baseline models, and models that provide theoretical accounts at different levels of theoretical analysis. Models serve to provide concise summaries of data, to provide theoretical accounts of data, to discriminate between competing theoretical accounts, and to provide measures of latent psychological variables and upper and lower baselines against which to contrast observed behavior. Criteria for evaluating models comprise goodness of fit in relation to model flexibility, consistency across applications, competitiveness, psychological validation, and generativity. Three social psychological models exemplify these issues, a Bayesian marginal model of pseudocontingencies, a source-monitoring model of illusory correlations, and the dynamic interactive model of person construal.
- Type
- Chapter
- Information
- Publisher: Cambridge University PressPrint publication year: 2024
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