Applied Multivariate Research: Design and Interpretation

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SAGE, Aug 17, 2012 - Psychology - 1078 pages
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This book provides full coverage of the wide range of multivariate topics that graduate students across the social and behavioral sciences encounter, using a conceptual, non-mathematical, approach. Addressing correlation, multiple regression, exploratory factor analysis, MANOVA, path analysis, and structural equation modeling, it is geared toward the needs, level of sophistication, and interest in multivariate methodology that serves students in applied programs in the social and behavioral sciences. Readers are encouraged to focus on design and interpretation rather than the intricacies of specific computations.
 

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Contents

Chapter 1 An Introduction to Multivariate Design
2
Chapter 2 Some Fundamental Research Design Concepts
11
Chapter 3A Data Screening
37
Chapter 3B Data Screening Using IBM SPSS
75
Part II Comparisons of Means
139
Chapter 4A Univariate Comparison of Means
140
Chapter 4B Univariate Comparison of Means Using IBM SPSS
165
Chapter 5A Multivariate Analysis of Variance
224
Chapter 12B Principal Components Analysis and Exploratory Factor Analysis Using IBM SPSS
688
Chapter 13A Canonical Correlation Analysis
750
Chapter 13B Canonical Correlation Analysis Using IBM SPSS
759
Chapter 14A Multidimensional Scaling
770
Chapter 14B Multidimensional Scaling Using IBM SPSS
790
Chapter 15A Cluster Analysis
818
Chapter 15B Cluster Analysis Using IBM SPSS
833
Part V Fitting Models to Data
849

Chapter 5B Multivariate Analysis of Variance Using IBM SPSS
247
Part III Predicting the Value of a Single Variable
283
Chapter 6A Bivariate Correlation and Simple Linear Regression
284
Chapter 6B Bivariate Correlation and Simple Linear Regression Using IBM SPSS
315
Statistical Methods
324
Statistical Methods Using IBM SPSS
366
Beyond Statistical Regression
382
Beyond Statistical Regression Using IBM SPSS
413
Chapter 9A Multilevel Modeling
466
Chapter 9B Multilevel Modeling Using IBM SPSS
484
Chapter 10A Binary and Multinomial Logistic Regression and ROC Analysis
522
Chapter 10B Binary and Multinomial Logistic Regression and ROC Analysis Using IBM SPSS
557
Part IV Analysis of Structure
585
Chapter 11A Discriminant Function Analysis
586
Chapter 11B Discriminant Function Analysis Using IBM SPSS
609
Chapter 12A Principal Components Analysis and Exploratory Factor Analysis
640
Chapter 16A Confirmatory Factor Analysis
850
Chapter 16B Confirmatory Factor Analysis Using Amos
880
Multiple Regression
903
Multiple Regression Using IBM SPSS
921
Structural Modeling
937
Structural Modeling Using Amos
951
Chapter 19A Structural Equation Modeling
974
Chapter 19B Structural Equation Modeling Using Amos
982
Applying a Model to Different Groups
1001
Chapter 20B Assessing Model Invariance Using Amos
1007
References
1032
Statistics Tables
1056
Selected IBM SPSS Amos Menus and Commands
1058
Author Index
1063
Subject Index
1072
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About the author (2012)

Larry Meyers earned his doctorate in Experimental Psychology, and has been a Professor in the Psychology Department at California State University, Sacramento for a number of years. He supervises research students and teaches research design courses as well as history of psychology at both the undergraduate and graduate level. His areas of expertise include test development and validation.

Glenn Gamst is Professor and Chair of the Psychology Department at the University of La Verne, where he teaches the doctoral advanced statistics sequence. He received his Ph.D. from the University of Arkansas in experimental psychology. His research interests include the effects of multicultural variables on clinical outcome. Additional research interests focus conversation memory and discourse processing.

A.J. Guarino received his B.A. from the University of California, Berkeley and a Ph.D. from the University of Southern California in statistics and research methodologies from the Department of Educational Psychology. He is professor of biostatistics at Massachusetts General Hospital, Institute of Health Professions. He is the statistician on numerous NIH grants and reviewer on several research journals.

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