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A new guide showing the best ways for students to analyze data and interpret results in SPSS.
Do you want more practice with research methods and statistics outside of class? Then the Student Study Guide With IBM® SPSS® Workbook for Research Methods, Statistics, and Applications, Second Edition, is for you. Written by Kathrynn A. Adams and Eva K. Lawrence, this study guide accompanies the new second edition of Research Methods, Statistics, and Applications and provides instructions for performing statistical calculations in IBM® SPSS® along with additional exercises to reinforce concepts in the text. It follows the main text chapter by chapter to provide for easy assigning and studying. Step-by-step directions for IBM® SPSS® Data Analysis and Interpretation are included with practice exercises to facilitate competence in using the program as well as interpreting and writing up results. Answers to odd-numbered questions are provided so students can obtain quick feedback. The Your Research section helps readers develop their own research topics. Learning outcomes tied to relevant chapters in the text reinforce key concepts for review.
This supplementary text serves as a manual for SPSS use for social statistics and research methods classes. It is a useful guide for students working independently on a research proposal, project, or paper. Also, it is an excellent resource for instructors to use with some or all of the lab components of their course.
The Student Study Guide With IBM® SPSS® Workbook for the award-winning Research Methods for the Behavioral Sciences, Second Edition by Gregory J. Privitera includes a review of chapter learning objectives, chapter outlines and key terms, essential statistical formulas, special tips and insights for students, and chapter summaries. To help students practice their skills, the guide offers additional exercises, extensive practice quizzes linked to chapter learning objectives and SPSS in Focus exercises which complement those in the main text.
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.
Ideal either as a companion to a traditional statistics or research methods text or as a stand-alone guide, Using SPSS for Research Methods and Social Statistics is a useful reference for those learning to use the SPSS software for the first time or those with only basic knowledge about SPSS. This student-friendly resource shows readers how to use images and directions drawn from SPSS Version 20 and now uses the latest version of the General Social Survey (GSS, 2010) as a secondary data set.
This book integrates social science research methods and the descriptions of over 40 univariate, bivariate, and multivariate tests to include a description of the purpose, key assumptions and requirements, example research question and null hypothesis, SPSS procedures, display and interpretation of SPSS output, and what to report for each test. It is classroom tested and current with IBM SPSS 22. This expanded second edition also features companion website materials including copies of the IBM SPSS datasets used to create the SPSS output presented in the book, and Microsoft PowerPoint presentations that display step-by-step instructions on how to run popular SPSS procedures. Included throughout the book are various sidebars highlighting key points, images and SPSS screenshots to assist understanding the material presented, self-test reviews at the end of each chapter, a decision tree to facilitate identification of the proper statistical test, examples of SPSS output with accompanying analysis and interpretations, links to relevant web sites, and a comprehensive glossary. Underpinning all these features is a concise, easy to understand explanation of the material.

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