Quantitative Models in Psychology

ISBN-10: 1433809591
ISBN-13: 9781433809590
Edition: 2011
List price: $59.95
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Description: Training in quantitative methods primarily involves studying the mechanics of statistics or, in other words, the "how" of data analysis. What is less studied is the "why," or the foundational theory underlying these concepts. Using the organizing  More...

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Book details

List price: $59.95
Copyright year: 2011
Publisher: American Psychological Association
Publication date: 4/15/2011
Binding: Hardcover
Pages: 280
Size: 7.25" wide x 10.50" long x 1.00" tall
Weight: 1.342
Language: English

Training in quantitative methods primarily involves studying the mechanics of statistics or, in other words, the "how" of data analysis. What is less studied is the "why," or the foundational theory underlying these concepts. Using the organizing principle that quantitative methods are the building blocks of models, this book focuses on models of inference, models of measurement, and the modeling of psychological phenomena. With clear prose and a reader-friendly format, McGrath introduces a conceptual framework for the entire spectrum of quantitative modeling procedures used in psychology while providing a solid grounding in its methods and practices. The result is a comprehensive survey of quantitative methods and concepts in psychology that covers everything needed at the graduate level and beyond, including generalizing from samples to populations, using measurement instruments to generate quantitative scales, and modeling real-world patterns and relationships. This book presents the most important and practically relevant quantitative models for the behavioral and social sciences and encourages psychologists and graduate students to think critically about the limitations of the methods currently in use.

Preface
Introduction
Quantitative Models in Psychology
Are Models Always Realistic?
This Book
Models of Inference
Preliminary Concepts in Inference
The Problem of Error
Binomial Distributions
The Sampling Distribution of the Mean
The t Distribution
Conclusion
Significance Testing
Fisher's Model
Fleshing Out the Model
The Good, the Bad, and the Alternative
Conclusion
Null Hypothesis Significance Testing
The Decision Matrix
Controlling the Outcomes
The Good, the Bad, and the Alternative
Conclusion
Practical Issues in Null Hypothesis Significance Testing
Practical Power Analysis
The Significance Testing Controversy
Living With Significance Tests
Conclusion
Alternatives to Null Hypothesis Significance Testing
Interval Estimation
Meta-Analysis
Bayesian Methods
Conclusion
Models of Measurement
Models of Measurement Error
True-Score Theory
Validity Theory
Conclusion
Latent-Variable Models
Factor Analysis
Structural Equation Modeling
Item Response Theory
Categorical Latent-Variable Models
Conclusion
Structural Modeling
Preliminary Concepts in Structural Modeling
Formal Classification of Variables
Practical Classification of Variables
Exploratory Versus Confirmatory Modeling
Conclusion
Modeling Psychological Phenomena
Modeling Variable Distributions
Modeling Two-Variable Relationships
Modeling Relationships With Three or More Variables
Conclusion
References
Index
About The Author

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