Basic Statistics in Multivariate Analysis

Автор: Karen A. Randolph, Laura Myers

Език:

Корици: С меки корици

Издател: Oxford University Press Inc

Наличност: Външен склад

Изпращаме след 10-18 дни

54.67 € 106.93 лв

The complexity of social problems necessitates that social work researchers understand and apply mul...

Информация за книгата

Автор

Karen A. Randolph, Laura Myers

Език

Английски език

Корици

Книга - С меки корици

Издадена

2013

страници

224

EAN

9780199764044

ISBN

0199764042

Enbook ID

04535731

Издател

Oxford University Press Inc

Теглоt

260

Размери

141 x 209 x 11

Пълно описание

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.

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