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Statistics and data interpretation for social work

Author: James Aaron Rosenthal
Publisher: New York : Springer Publishing Company, ©[2012]. ©2012.
Edition/Format:   eBook : Document : EnglishView all editions and formats
"Without question, this text will be the most authoritative source of information on statistics in the human services. From my point of view, it is a definitive work that combines a rigorous pedagogy with a down to earth (commonsense) exploration of the complex and difficult issues in data analysis (statistics) and interpretation. I welcome its publication.".-Praise for the First Edition. Written by a social worker  Read more...
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Genre/Form: Electronic books
Additional Physical Format: Print version:
Rosenthal, James Aaron.
Statistics and data interpretation for social work.
New York : Springer Pub. Co., ©2012
(DLC) 2011039348
Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: James Aaron Rosenthal
ISBN: 9780826107213 0826107214
OCLC Number: 775352835
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,  Read more...
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