East Baton Rouge Parish Library

IBM SPSS essentials, managing and analyzing social sciences data, John Kulas, Northern Illinois University, Adam Smith, Auburn University, Renata Garcia Prieto Palacios Roji, Montclair State University

Label
IBM SPSS essentials, managing and analyzing social sciences data, John Kulas, Northern Illinois University, Adam Smith, Auburn University, Renata Garcia Prieto Palacios Roji, Montclair State University
Language
eng
Index
index present
Literary Form
non fiction
Main title
IBM SPSS essentials
Nature of contents
dictionaries
Oclc number
11159635151
Responsibility statement
John Kulas, Northern Illinois University, Adam Smith, Auburn University, Renata Garcia Prieto Palacios Roji, Montclair State University
Sub title
managing and analyzing social sciences data
Summary
"This book covers the nuts and bolts of SPSS usage and data entry for students learning SPSS, with a significant emphasis on managing and manipulating data. This book contains three parts. Part I provides an introduction to SPSS, discusses navigating SPSS, and contains a section on knowing your data. Next, Part II covers creating and understanding your data. In this part, readers learn how to get data into SPSS, how to manipulate the data, and also learn about descriptive statistics. Finally, Part III focuses on inferential statistics. This part includes a discussion of hypothesis testing, one-sample Z-test, T-Tests, as well as ANOVAs and correlations and regression. The authors include five appendices for further reading. These appendices discuss dealing with real-world data, troubleshooting, advanced statistics, and workbook activities. The workbook activities contain end of chapter questions and answers. Throughout the book there are now graphs such as histograms, bar plots, and scatterplots, chi-square and crosstabs, and more screen shots"--, Provided by publisher
Table Of Contents
Introduction. What is SPSS? -- Navigating SPSS -- Introduction to Data -- Getting Your Data into SPSS -- Accessing Your Data -- Defining Your Data -- Statistics. Descriptive Statistics -- Hypothesis Testing -- Z- and T-Tests -- Inferential Analyses (ANOVAs) -- Inferential Analyses (Correlation or Regression) -- Nonparametric Analyses -- Advanced Data Management. Manipulating Your Data -- Collapsing and Merging Data Files -- Differential Treatment of Your Data -- Using Your Output -- Other Tricks of the Trade -- Appendix A Completed Questionnaire Form Example -- Appendix B Example Code Sheet for Questionnaire -- Appendix C Summary of Creating and Defining a Data File -- Appendix D Example Syntax File Integrating Multiple Commands (Fulfilling Multiple Purposes) -- Appendix E Commands To Know, Organized By Importance -- Answers to Chapter Discussion Questions
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