Many students find statistics courses alienating, boring, intimidating, or all of the above! Data Analysis with SPSS® is designed to help students develop an appreciation and hopefully an excitement for quantitative inquiry. Written in nine manageable chapters, this book first orients 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. They are then guided 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.
This text is designed to teach students how to explore data in a systematic manner using the most popular professional statistics program for social scientists on the market today, SPSS® (Statistical Package for the Social Sciences). The book is organized to guide students through the logic of data analysis, from exploring data sets all the way through multivariate analysis and the writing of a research report.
Each book is packaged with a disk containing the GSS (General Social Survey) file and the States file. The GSS file contains 100 variables generated from interviews with 2900 people concerning their behaviors and attitudes on a wide variety of issues such as abortion, aid to the poor, religion, prejudice, sexuality, and politics. The States data allows comparison of all 50 states with 400 variables indicating issues such as unemployment, earnings, environment, criminality, population, corrections, and education. Students will ultimately use these data to conduct their own independent research project with SPSS®.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
Many students find statistics courses alienating, boring, intimidating, or all of the above! Data Analysis with SPSS® is designed to help students develop an appreciation and hopefully an excitement for quantitative inquiry. Written in nine manageable chapters, this book first orients 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. They are then guided 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.
This text is designed to teach students how to explore data in a systematic manner using the most popular professional statistics program for social scientists on the market today, SPSS® (Statistical Package for the Social Sciences). The book is organized to guide students through the logic of data analysis, from exploring data sets all the way through multivariate analysis and the writing of a research report.
Each book is packaged with a disk containing the GSS (General Social Survey) file and the States file. The GSS file contains 100 variables generated from interviews with 2900 people concerning their behaviors and attitudes on a wide variety of issues such as abortion, aid to the poor, religion, prejudice, sexuality, and politics. The States data allows comparison of all 50 states with 400 variables indicating issues such as unemployment, earnings, environment, criminality, population, corrections, and education. Students will ultimately use these data to conduct their own independent research project with SPSS®.
>Stephen Sweet is an assistant professor of sociology at Ithaca College and was formerly the associate director of the Cornell Work and Family Careers Institute. His books include Changing Contours of Work (2008), The Work and Family Handbook: Interdisciplinary Perspectives, Methods and Approaches (2005), Teaching Work and Family: Strategies, Activities, and Syllabi (2006), College and Society: An Introduction to the Sociological Imagination (2001), and Data Analysis with SPSS: A First Course in Applied Statistics (2008, 2003, 1998).
His studies on work, family, community, and inequality appeared in a variety of publications, including Generations, Research in the Sociology of Work, Sex Roles, Family Relations, New Directions in Life Course Research, Journal of Vocational Behavior, Journal of Marriage and the Family, Innovative Higher Education, Journal of College Student Development, andCommunity, Work, and Family, Popular Music and Society, International Journal of Mass Emergencies and Disasters. His articles on teaching and curriculum development have been published in Teaching Sociology, Critical Pedagogy in the Classroom, and Excellent Teaching in the Excellent University.
In addition to his research and teaching responsibilities, Stephen Sweet currently serves as the Teaching Resources Specialist for the Sloan Work and Family Research Network, co-edits the Work-Family Encyclopedia, and manages the Sloan Early Career Scholars Program.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
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