OXFORD UNIVERSITY PRESS

Basic Statistics in Multivariate Analysis

ISBN : 9780199764044

Price(incl.tax): 
¥6,919
Author: 
Karen A. Randolph; Laura L. Myers
Pages
224 Pages
Format
Paperback
Size
141 x 209 mm
Pub date
Mar 2013
Series
Pocket Guide to Social Work Research Methods
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The complexity of social problems necessitates that social work researchers understand and apply multivariate statistical methods in their investigations. In this pocket guide, the authors introduce readers to three of the more frequently used multivariate methods in social work research with an emphasis on basic statistics. The primary aim is to prepare entry-level doctoral students and early career social work researchers in the use of multivariate methods by providing an easy-to-understand presentation, building on the basic statistics that inform them. The pocket guide begins with a review of basic statistics, hypothesis testing with inferential statistics, and bivariate analytic methods. Subsequent sections describe bivariate and multiple linear regression analyses, one-way and two-way analysis of variance (ANOVA) and covariance (ANCOVA), and path analysis. In each chapter, the authors introduce the various basic statistical procedures by providing definitions, formulas, descriptions of the underlying logic and assumptions of each procedure, and examples of how they have been used in social work research literature, particularly with diverse populations. They also explain estimation procedures and how to interpret results. The multivariate chapters conclude with brief step-by-step instructions for conducting multiple regression analysis and one-way ANOVA in Statistical Package for the Social Sciences (SPSS), and path analysis in Amos, using data from the National Educational Longitudinal Study of 1988 (NELS: 88). As an additional supplement, the book offers a companion website that provides more detailed instructions, as well as data sets and worked examples.

Index: 

1. Introduction
2. Descriptive Statistical Methods
3. Inferential Statistics
4. Bivariate Statistical Methods
5. Bivariate and Multivariate Linear Regression Analysis
6. Analysis of Variance (ANOVA) and Covariance (ACOVA)
7. Path Analysis
Appendix : Statistical Symbols
Glossary
References
Index

About the author: 

Karen A. Randolph, PhD, is Associate Professor and Doctoral Program Director at Florida State University College of Social Work. Laura L. Myers, PhD, is Associate Professor and BSW Program Director at Florida A&M University.

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