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Inhaltsangabe
Ideal as a companion to a statistics or research methods text or as a stand-alone guide, Using SPSS for Social Statistics and Research Methods shows readers how to use images and directions drawn from SPSS Version 18.0 and now uses the latest version of the GSS (General Social Survey) as a secondary data set.
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.
Features and Benefits:
• Offers a fully updated graphics chapter that highlights new features available in SPSS 18.0, including information on alternative routes to creating graphics
• Includes updated examples, screenshots and tables throughout
• Expanded coverage of output interpretation
• Refers to several kinds of computer files, including data files, output files and syntax files
• Covers a wide range of data analysis topics to help students who are working independently on a research proposal, project or paper.
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Über die Autorin bzw. den Autor
William E. Wagner, III, Professor of Sociology at California State University, Channel Islands, served as a member of the faculty and director of the Institute for Social and Community Research (ISCR) at CSUB prior to coming to CSU Channel Islands. His MA and PhD degrees in sociology are from the University of Illinois, Chicago. He holds two separate bachelor’s degrees, one in mathematics and the other in sociology/anthropology, both from St. Mary’s College of Maryland. His work on topics such as urban sociology, sports, homophobia, and academic status has been published in national and regional scholarly journals.
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Using IBM® SPSS® Statistics for Social Statistics and Research Methods
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Using SPSS for Social Statistics and Research Methods
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Using SPSS for Social Statistics and Research Methods
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Using IBM® SPSS® Statistics for Social Statistics and Research Methods
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