Basic statistics in multivariate analysis / Karen A. Randolph, Laura L. Myers.

Format:

Book

Author/Creator:

Randolph, Karen A.

Contributor:

Myers, Laura L.

UPSO (University Press Scholarship Online)

Alumni and Friends Memorial Book Fund.

Series:

Pocket guides to social work research methods

Language:

English

Subjects (All):

Social service--Research--Methodology.

Social service.

Multivariate analysis.

Physical Description:

1 online resource (vii, 213 pages) : illustrations.

Place of Publication:

Oxford ; New York : Oxford University Press, [2013]

System Details:

text file

Summary:

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 oh the basic statistics that inform them. The pocket guide begins with a review or 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 ANQVA 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. Book jacket.

Contents:

Introduction

Descriptive statistical methods

Inferential statistics

Bivariate statistical methods

Bivariate and multivariate linear regression analysis

Analysis of variance (ANOVA) and covariance (ACOVA)

Path analysis.

Notes:

Includes bibliographical references (pages 203-208) and index.

Electronic reproduction. Oxford Available via World Wide Web.

Description based on print version record.

Local Notes:

Acquired for the Penn Libraries with assistance from the Alumni and Friends Memorial Book Fund.

ISBN:

9780199332533

0199332533

Publisher Number:

99967261466

Access Restriction:

Restricted for use by site license.