Using IBM (R) SPSS (R) Statistics for Research Methods and Social Science Statistics
5th Edition
Published on 13. May 2014
Book
Paperback/Softback
168 pages
978-1-4833-5128-5 (ISBN)
Description
This supplementary text is designed as a manual for SPSS use for social statistics and research methods classes and is an excellent companion to any undergraduate statistics or research methods textbook. It will also serve as a useful reference for those learning to use the SPSS software for the first time.
More details
Edition
5th Revised edition
Language
English
Place of publication
Thousand Oaks
United States
Target group
College/higher education
Edition type
Revised edition
Dimensions
Height: 254 mm
Width: 178 mm
Weight
306 gr
ISBN-13
978-1-4833-5128-5 (9781483351285)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
New editions
William E. Wagner-Huang
Using IBM (R) SPSS (R) Statistics for Research Methods and Social Science Statistics
Book
07/2016
6th Edition
SAGE Publications Inc
€57.19
Article exhausted; check for reprint
Person
William E. Wagner, III, PhD, is Chair of the Department of Sociology at California State University, Dominguez Hills and Executive Director of the Social Science Research & Instructional Council of the CSU. He is co-author of Adventures in Social Research, 11th edition (SAGE, 2022), The Practice of Survey Research (SAGE, 2016), and A Guide to R for Social and Behavioral Sciences (SAGE, 2020) and author of Using IBM (R) SPSS (R) Statistics for Research Methods and Social Science Statistics, 7th edition (SAGE, 2019).
Content
Chapter 1. Overview
Chapter 2. Transforming Variables
Chapter 3. Selecting and Sampling Cases
Chapter 4. Organization and Presentation of Information
Chapter 5. Charts and Graphs
Chapter 6. Testing Hypotheses Using Means and Cross-Tabulation
Chapter 7. Cross-Tabulation and Measures of Association for Nominal and Ordinal Variables
Chapter 8. Correlation and Regression Analysis
Chapter 9. Logistic Regression Analysis
Chapter 10. Analysis of Variance
Chapter 11. Editing Output
Chapter 12. Advanced Applications
Chapter 2. Transforming Variables
Chapter 3. Selecting and Sampling Cases
Chapter 4. Organization and Presentation of Information
Chapter 5. Charts and Graphs
Chapter 6. Testing Hypotheses Using Means and Cross-Tabulation
Chapter 7. Cross-Tabulation and Measures of Association for Nominal and Ordinal Variables
Chapter 8. Correlation and Regression Analysis
Chapter 9. Logistic Regression Analysis
Chapter 10. Analysis of Variance
Chapter 11. Editing Output
Chapter 12. Advanced Applications