Synopsis
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, analyse, 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 utilise 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.
Features:
- Reviews bivariate statistical tests to ensure comprehension of advanced steps.
- Covers simple, multiple, and logistic regression analyses; repeated measures; analysis of variances and covariances; and canonical correlation analysis.
- Discusses in depth the processes of data cleaning, missing values, outlier cases, normality, and data transformation.
- Illustrates how to present the results of tests in readable tables and graphs.
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About the Author
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.
"About this title" may belong to another edition of this title.
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