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Book Information:
ISBN: 0471666653
Title: Handbook of Psychology, Volume 2: Research Methods in Psychology
Author: John A. Schinka
Publisher: Wiley
Publication Date: 2004-04-19
Number Of Pages: 711
Book Description
* Includes established theories and cutting-edge developments.
* Presents the work of an international group of experts.
* Presents the nature, origin, implications, an future course of major unresolved issues in the area.
Synopsis
* Includes established theories and cutting-edge developments. * Presents the work of an international group of experts. * Presents the nature, origin, implications, an future course of major unresolved issues in the area.
Table of Contents
I. FOUNDATIONS OF RESEARCH: STUDY DESIGN, DATA MANAGEMENT, DATA REDUCTION, AND DATA SYNTHESIS.
Experimental Design (R. E. Kirk).
Exploratory Data Analysis (J. T. Behrens & C. Yu).
Power: Basics, Practical Problems, and Possible Solutions (R. R. Wilcox).
Methods for Handling Missing Data (J. W. Graham, et al.).
Preparatory Data Analysis (L. S. Fidell & B. G. Tabachnick).
Factor Analysis (R. L. Gorsuch).
Clustering and Classification Methods (G. W. Milligan & S. C. Hirtle).
II. RESEARCH METHODS IN SPECIFIC CONTENT AREAS.
Clinical Forensic Psychology (K. S. Douglas, et al.).
Psychotherapy Outcome Research (E. S. Behar & T. D. Borkovec).
Health Psychology (T. W. Smith).
Animal Learning (R. M. Church).
Neuropsychology (R. M. Bauer, et al.).
Program Evaluation (M. M. Mark).
III. MEASUREMENT ISSUES.
Mood Measurement: Current Status and Future Directions (D. Watson & J. Vaidya).
Measuring Personality and Psychopathology (L. C. Morey).
The Circumplex Model: Methods and Research Applications (M. B. Gurtman & A. L. Pincus).
Item Response Theory and Measuring Abilities (K. M. Schmidt & S. E. Embretson).
Growth Curve Analysis in Contemporary Psychological Research (J. J. McArdle & J. R. Nesselroade).
IV: DATA ANALYSIS METHODS.
Multiple Linear Regression (L. Aiken, et al.).
Logistic Regression (A. DeMaris).
Meta-Analysis (F. L. Schmidt & H. E. Hunter).
Survival Analysis (J. Singer & J. B. Willett).
Time Series Analysis (W. Velicer & J. L. Fava).
Structural Equation Modeling (J. Ullman & P. M. Bentler).
Ordinal Analysis of Behavioral Data (J. D. Long, et al.).
Latent Class and Latent Transition Analysis (S. L. Lanza, et al.).
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