How to Analyze Data / Edition 1

How to Analyze Data / Edition 1

ISBN-10:
0803931336
ISBN-13:
9780803931336
Pub. Date:
12/01/1987
Publisher:
SAGE Publications
ISBN-10:
0803931336
ISBN-13:
9780803931336
Pub. Date:
12/01/1987
Publisher:
SAGE Publications
How to Analyze Data / Edition 1

How to Analyze Data / Edition 1

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Overview

Here is a basic introduction to a variety of elementary statistical techniques, including those for summarizing data, for examining differences between groups, and for examining relationships between two measures. Analyses of Effect Size—a relatively recent and simple approach for examining differences between groups and for conducting meta-analysis is shown. Only the most basic and useful statistical techniques that are appropriate for answering essential evaluation questions have been included. Worksheets and practical examples are given throughout the volume to support the use of each technique. Guidance is provided on the use of statistical techniques for constructing tests and questionnaires, on methods for choosing appropriate statistics on using meta-analytic techniques, and on using statistical packages – particularly SPSS (a statistical package for microcomputers) – giving readers all the information needed to properly analyze their data.


Product Details

ISBN-13: 9780803931336
Publisher: SAGE Publications
Publication date: 12/01/1987
Series: CSE Program Evaluation Kit , #8
Edition description: Subsequent
Pages: 168
Product dimensions: 8.50(w) x 11.00(h) x (d)

About the Author

Carol Fitz-Gibbon initiated the A-Level Information System in 1983 and was Director of the Curriculum, Evaluation and Management Centre from 1989-2003 and Professor of Education at Durham from 1996-2003. She has a continuing interest in cross-age tutoring and Reforms as Experiments in an active retirement.

Table of Contents

Introduction
Summarizing a Single Set of Scores
Examining Differences Between Groups
Examining Relationships Between Variables
Construction Tests and Analyzing Questionnaires
Selecting Statistical Procedures
Meta Analysis
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