Using IBM SPSS statistics for research methods and social science statistics /
Material type: TextPublication details: Callifornia : SAGE, [2017] ©2017Edition: Sixth editionDescription: viii, 158 pages : illustrationsISBN:- 9781506331720 (pbk. : alk. paper)
- 1506331726
- 300.285 WAN
Item type | Current library | Collection | Call number | Status | Date due | Barcode | Item holds | |
---|---|---|---|---|---|---|---|---|
Reference Books | Main Library Reference | Reference | 300.285 WAN (Browse shelf(Opens below)) | Available | 015485 |
Preface --
Acknowledgements --
1 Overview --
2 Transforming variables --
3 Selecting and sampling cases --
4 Organization and presentation of information --
5 Charts and graphs --
6 Testing hypotheses using means and cross-tabulation --
7 Cross-tabulation and measures of association for nominal and ordinal variables --
8 Correlation and regression analyses --
9 Logistic regression analysis --
10 Analysis of variance --
11 Editing output --
12 Advanced applications --
About the author
"Reliable and student-friendly, Using IBM ® SPSS® Statistics for Research Methods and Social Science Statistics by William E. Wagner, III is known for its effectiveness in helping readers learn to use SPSS software for simple data management. Now reflecting SPSS Version 23.0, the Sixth Edition includes updated examples, screenshots, and tables based on current GSS (General Social Survey) data. This manual is an excellent companion to any undergraduate social science statistics and research methods text and is ideal as a stand-alone guide for those learning to use SPSS software for the first time. --- NEW AND KEY FEATURES *Reflects SPSS Version 23.0 to keep readers up to date on the latest software available. *Uses the latest version of GSS (General Social Survey) as a secondary data set. *Provides expanded coverage of output interpretation to readers, with ample material on an important topic. *Refers to several kinds of computer files, including data files, output files, and syntax files. *Covers a wide range of data analysis topics helpful for students who are working independently on a research proposal, project or paper. *Offers brief guidelines and hints for syntax usage. *Includes an open-access Student Study Site that features valuable resources, such as datasets and codebooks."--
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