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Data Analysis with SPSS is designed to teach students how to explore data in a systematic manner using the most popular professional social statistics program on the market today. Written in ten manageable chapters, this book first introduces students to the approach researchers use to frame research questions and the logic of establishing causal relations. Students are then oriented to the SPSS program and how to examine data sets. Subsequent chapters guide them through univariate analysis, bivariate analysis, graphic analysis, and multivariate analysis. Students conclude their course by learning how to write a research report and by engaging in their own research project. Each book is packaged with a disk containing the GSS (General Social Survey) file and the States data files. The GSS file contains 100 variables generated from interviews with 2,900 people, concerning their behaviors and attitudes on a wide variety of issues such as abortion, religion, prejudice, sexuality, and politics. The States data allows comparison of all 50 states with 400 variables indicating issues such as unemployment, environment, criminality, population, and education.Students will ultimately use these data to conduct their own independent research project with SPSS.
How can students effectively utilize professional statistical software to transform raw social data into coherent research findings? Karen A. Grace-Martin and Stephen A. Sweet provide a structured pedagogical framework designed to bridge the gap between theoretical research questions and practical computational execution. By integrating the SPSS software environment with real-world datasets, the authors establish a logical progression from basic data exploration to complex multivariate analysis.
What You Will Find
This text serves as a foundational resource for students requiring a systematic introduction to quantitative social science research. The inclusion of large-scale datasets provides a robust environment for developing technical proficiency in statistical software applications.
Page Count:
236
Publication Date:
2002-06-09
Publisher:
Allyn & Bacon
ISBN-10:
0205340571
ISBN-13:
9780205340576
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