Doing Statistics With SPSS / Edition 1

by Alistair W Kerr, Howard K Hall, Stephen A Kozub

Overview

Doing Statistics with SPSS assumes no prior understanding beyond that of basic mathematical operations and is therefore suitable for anyone undertaking an introductory statistics course as part of a science based undergraduate programme. The text will:

• enable the reader to make informed choices about what statistical tests to employ and what assumptions are made in using a particular test
• demonstrate how to execute the analysis using SPSS
• guide the interpretation of its output

Each chapter ends with an exercise and provides detailed instructions on how to run the analysis using SPSS release 10. Learning is further guided by pointing the reader to particular aspects of the SPSS output and by having the reader engage with specified items of information from the SPSS results.

Product Details

ISBN-13:	9780761973843
Publisher:	SAGE Publications
Publication date:	05/09/2002
Edition description:	First Edition
Pages:	238
Product dimensions:	6.69(w) x 9.53(h) x (d)

Table of Contents

The Need for Statistics
The Need for Statistics
Descriptive Statistics
The Normal Distribution
Introduction to Experimental Research
Sampling Error
Between-Groups One-Way Analysis of Variance
Analytical Comparisons
Within-Groups One-Way ANOVA
Factorial ANOVA
More Advanced Applications in ANOVA
Linear Regression
Multiple Regression
Two Final Exercises

Editorial Reviews

"A well-written and -illustrated work, recommended for all college libraries. Lower-division undergraduates through faculty. "

December 2002 CHOICE

"A well-written and -illustrated work, recommended for all college libraries. Lower-division undergraduates through faculty. "

December 2002 Choice Magazine

This guide covers the basics of statistics and the specific uses of the SPSS program in conducting statistical research. Chapters discuss the need for statistics, descriptive statistics, the normal distribution, experimental research, sampling errors, variance, analytical comparisons, anovas, linear regression, and multiple regression. Appendices include a glossary and test secession table. Graphs, charts, and diagrams illustrate key concepts. Annotation c. Book News, Inc., Portland, OR (booknews.com)