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According to Labor Secretary, Robert Reich, the most successful workers in the 21st century will be those who are able to understand various forms of information and produce meaning from it. Reich calls these people symbolic analysts, and they often use statistics. Yet, many individuals find statistics alienating, boring, intimidating, or as simply another hurdle to get over. Contrary to popular belief, though, quantitative research can be fun. This book is designed to help readers develop an appreciation, and hopefully an excitement, for quantitative inquiry. This book first orients readers to the approach researchers use to frame research questions and to the logic of establishing causal relations. Thereafter, the SPSS program is introduced. Readers are guided through examining data sets, univariate analysis, bivariate analysis, graphic analysis, and multivariate analysis. Two large data sets are included with the book. Anyone using SPSS, the statistics program for social science research.
This book investigates how to demystify quantitative research and statistics for social science students by providing a practical, accessible framework for data analysis using SPSS. Author Stephen A. Sweet addresses the common intimidation surrounding statistical inquiry by framing it as a vital skill for the modern workforce. The text bridges the gap between theoretical research logic and the technical application of software, utilizing provided datasets to ground the reader's learning experience in concrete practice.
What You Will Find
The text is structured as a pedagogical tool for students and researchers seeking a functional, non-intimidating introduction to statistical software. Its focus on practical application and logical research design suggests a utility-driven approach suitable for introductory social science methodology courses.
Page Count:
204
Publication Date:
1998-06-29
Publisher:
Allyn & Bacon
ISBN-10:
0205265561
ISBN-13:
9780205265565
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