Quantitative Models in Psychology

Name: Quantitative Models in Psychology
Price: 58.52 USD
Availability: InStock
ISBN: 9781433809590

ISBN-10: 1433809591

ISBN-13: 9781433809590

Edition: 2011

Authors: Robert E. McGrath

List price: $59.95

30 day, 100% satisfaction guarantee!

Marketplace

1 new & used from $58.52

what's this?

Rush Rewards U
Members Receive:

You have reached 400 XP and carrot coins. That is the daily max!

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 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…

Book details

List price: $59.95
Copyright year: 2011
Publisher: American Psychological Association
Publication date: 4/15/2011
Binding: Hardcover
Pages: 280
Size: 7.00" wide x 10.00" long x 1.00" tall
Weight: 1.342
Language: English



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