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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

By: Kulas, John T [author].
Contributor(s): Ohio Library and Information Network.
Publisher: Hoboken, NJ : John Wiley & Sons, Inc., ©2021Edition: 2nd edition.Description: 267 pages cm.Content type: text ISBN: 9781119417422.Uniform titles: SPSS essentials Subject(s): SPSS (Computer file) | Social sciences -- Computer programsGenre/Form: Electronic books | Print books.
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
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"--
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Current location Call number Status Date due Barcode Item holds
On Shelf HA32 .K85 2021 (Browse shelf) Available AU00000000018009
Total holds: 0

Earlier editions published as: SPSS essentials : managing and analyzing social sciences data

Includes index

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

Available to OhioLINK libraries

"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"--

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