Quantitative models in psychology

Author(s)

Bibliographic Information

Quantitative models in psychology

Robert E. McGrath

American Psychological Association, c2011

Available at  / 4 libraries

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Note

Includes bibliographical references (p. 217-230) and index

Description and Table of Contents

Description

With clear prose and a reader-friendly format, Robert E. McGrath introduces a conceptual framework for understanding 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, discovering alternatives to null hypothesis significance testing, 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.

Table of Contents

Preface Introduction I. Models of Inference Preliminary Concepts in Inference Significance Testing Null Hypothesis Significance Testing Practical Issues in Null Hypothesis Significance Testing Alternatives to Null Hypothesis Significance Testing II. Models of Measurement Models of Measurement Error Latent-Variable Models III. Structural Modeling Preliminary Concepts in Structural Modeling Modeling Psychological Phenomena References Index About the Author

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