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|Additional Physical Format:||Print version:
Rosenthal, James Aaron.
Statistics and data interpretation for social work.
New York : Springer Pub. Co., ©2012
|Material Type:||Document, Internet resource|
|Document Type:||Internet Resource, Computer File|
|All Authors / Contributors:||
James Aaron Rosenthal
|Description:||1 online resource (xvii, 485 pages) : illustrations|
|Contents:||pt. I: Introduction and descriptive statistics. Introduction and overview --
Data presentation --
Central tendency --
Measures of variability --
Shape of distribution --
The concept of relationship and relationship between categorical variables --
The odds ratio and other measures for categorical variables --
Correlation and regression --
Standardized mean difference --
Research design and causality --
Controlling for confounding variables --
pt. II: Inferential statistics and data interpretation. An introduction to inferential statistics --
Confidence intervals for means and proportions --
The logic of statistical significance tests --
The large sample test of the mean and new concepts --
Statistical power and selected topics --
The t distribution and one-sample procedures for means --
Independent samples t test and dependent samples t test --
One-sample tests of proportions --
The chi-square test of independence --
Analysis of variance --
More significance tests and reasoning with test results --
An overview of selected multivariate procedures --
Generalizability, importance, and a data interpretation model.
|Responsibility:||James A. Rosenthal.|
This is a nuts and bolts guide to statistics that presents complex calculations and concepts in clear, easy to understand language. It includes numerous examples grounded in social work practice, data sets, and issues that students will encounter in social work practice.
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