Soleman H. Abu-Bader
Unlike other advanced statistical texts, this book combines the theory and practice behind a number of statistical techniques which students of the social sciences need to evaluate, analyze, and test their research hypotheses.
Each chapter discusses the purpose, rationale, and
assumptions for using each statistical test, rather than focusing on the memorization of formulas. The tests are further elucidated throughout the text by real examples of analysis. Of particular value to students is the book's detailed discussion of how to utilize SPSS to run each test, read its
output, interpret, and write the results.
Advanced & Multivariate Statistical Methods for Social Science Research is an indispensable resource for students of disciplines as varied as social work, nursing, public health, psychology, and education.
Electronic database files are
available for student and instructor use.http://lyceumbooks.com/StudentResources.htm
1. REVIEW OF BIVARIATE STATISTICAL TESTS
2. DATA EVALUATION: DATA CLEANING, MIISING VALUES, OUTLIER CASES, NORMALITY, AND DATA TRANSFORMATION
3. SIMPLE LINEAR REGRESSION
4. MULTIPLE REGRESSION ANALYSIS
5. LOGISTIC REGRESSION ANALYSIS
6. TWO-WAY ANALYSIS OF VARIANCE
7.
TWO-WAY ANALYSIS OF COVARIANCE
8. REPEATED MEASURES ANALYSIS OF VARIANCE
9. MULTIVARIATE ANALYSIS OF VARIANCE AND COVARIANCE
10. CANONICAL CORRELATION ANALYSIS
APPENDIX - Data Files
REFERENCES
INDEX
There are no Instructor/Student Resources available at this time.
Soleman H. Abu-Bader (Ph.D. University of Utah, MSW Augsburg College) is associate professor in the School of Social Work at Howard University. He has worked as a social work practitioner, researcher, and teacher. He is the author of Using Statistical Methods in Social Work Practice (2006)as
well as several articles that focus on the elderly, welfare, depression, and organizational behavior.
Making Sense in the Social Sciences - Margot Northey, Lorne Tepperman and Patrizia Albanese
