Basic Statistics in Multivariate Analysis

Paperback | March 13, 2013

byKaren A. Randolph, Laura L. Myers

not yet rated|write a review
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 withan 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), andpath 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 withdiverse 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 inAmos, 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.

Pricing and Purchase Info

$42.95

Ships within 1-3 weeks
Ships free on orders over $25

From the Publisher

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 withan emphasis on basic statistics. The primary...

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 AandM University.
Format:PaperbackDimensions:224 pages, 8.25 × 5.5 × 0.68 inPublished:March 13, 2013Publisher:Oxford University PressLanguage:English

The following ISBNs are associated with this title:

ISBN - 10:0199764042

ISBN - 13:9780199764044

Look for similar items by category:

Customer Reviews of Basic Statistics in Multivariate Analysis

Reviews

Extra Content

Table of Contents

1. Introduction2. Descripitive Statistical Methods3. Inferential Statistics4. Bivariate Statistical Methods5. Bivariate and Multivariate Linear Regression Analysis6. Analysis of Variance (ANOVA) and Covariance (ACOVA)7. Path AnalysisGlossary of TermsGlossary of Statistical SymbolsReferencesIndex