Meyers L., Gamst G., Guarino A.J. - Applied Multivariate Research. Design and Intepretation (Using SPSS) + Code

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Applied Multivariate Research. Design and Intepretation / Прикладное многомерное исследование

Год: 2005

Автор: Lawerence Meyers, Glenn Gamst, A. J. Guarino / Лоеренс Майерс и др.

Жанр: Пособие

Издательство: Sage

ISBN: 1412904129

Язык: Английский

Формат: PDF

Качество: Отсканированные страницы

Количество страниц: 680

Описание: Multivariate designs were once the province of the very few exalted researchers who understood the underlying advanced mathematics. Today, through the sophistication of statistical software packages such as SPSS, virtually all graduate students across the social and behavioral sciences are exposed to the complex multivariate statistical techniques without having to learn the mathematical computations needed to acquire the data output.

These students - in psychology, education, political science, etc. - will never be statisticians and appropriately so, their preparation and coursework reflects less of an emphasis on the mathematical complexities of multivariate statistics and more on the analysis and the interpretation of the methods themselves and the actual data output.

This book provides full coverage of the wide range of multivariate topics in a conceptual rather than mathematical approach. The authors gear the text toward the needs, level of sophistication, and interest in multivariate methodology of students in these applied programs who need to focus on design and interpretation rather than the intricacies of specific computations.

Coverage of the most widely used multivariate designs: multiple regression, exploratory factor analysis, MANOVA, and structural equation modeling.

Integrated SPSS examples for hands-on learning from one large study (for consistency of application throughout the text).

Examples of written results to enable students to learn how the results of these procedures are communicated.

Practical application of the techniques using contemporary studies that will resonate with students.

Preface

PART I. FOUNDATIONS

1. An Introduction to Multivariate Design

2. Some Fundamental Research Design Concepts

3A. Data Screening

3B. Data Screening Using SPSS

PART II. THE INDEPENDENT VARIABLE VARIATE

4A. Bivariate Correlation and Simple Linear Regression

4B. Bivariate Correlation and Simple Linear Regression Using SPSS

5A. Multiple Regression

5B. Multiple Regression Using SPSS

6A. Logistic Regression

6B. Logistic Regression Using SPSS

7A. Discriminant Function Analysis

7B. Two-Group Discriminant Function Analysis Using SPSS

PART III. THE DEPENDENT VARIABLE VARIATE

8A. Univariate Comparisons of Means

8B. Univariate Comparisons of Means Using SPSS

9A. MANOVA: Comparing Two Groups

9B. Two-Group MANOVA Using SPSS

10A. MANOVA: Comparing Three or More Groups

10B. MANOVA: Comparing Three or More Groups Using SPSS

11A. MANOVA: Two-Way Factorial

11B. MANOVA: Two-Way Factorial Using SPSS

PART IV. THE EMERGENT VARIATE

12A. Principle Components and Factor Analysis

12B. Principle Components and Factor Analysis Using SPSS

13A. Confirmatory Factor Analysis

13B. Confirmatory Factor Analysis Using AMOS

PART V. MODEL FITTING

14A. Causal Modeling: Path Analysis and Structural Equation Modeling

14B. Path Analysis Using SPSS and AMOS

15A. Applying a Model to Different Groups

15B. Assessing Model Invariance Between Groups Using AMOS

Appendix

References

Name Index

Subject Index

About the Authors

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