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Książka Basic Statistics in Multivariate Analysis Karen A. Randolph

Basic Statistics in Multivariate Analysis

Autor: Karen A. Randolph, Laura Myers
Język: Angielski
Oprawa: Miękka
Wydawca: Oxford University Press Inc
Dostępność: Dostępna u dostawcy
Wysyłamy za 10-18 dni
209.89 zł
The complexity of social problems necessitates that social work researchers understand and apply mul...

Informacje o książce

Autor
Karen A. Randolph, Laura Myers
Język
Angielski
Oprawa
Książka - Miękka
Data wydania
2013
strony
224
EAN
9780199764044
ISBN
0199764042
Enbook ID
04535731
Wydawca
Oxford University Press Inc
Waga
260
Wymiary
141 x 209 x 11

Pełny opis

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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