Overview

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.

Full Product Details

Author:   Stephen A. Sweet ,  Karen A. Grace-Martin
Publisher:   Pearson Education (US)
Imprint:   Allyn & Bacon
Edition:   3rd edition
Dimensions:   Width: 27.50cm , Height: 1.70cm , Length: 21.30cm
Weight:   0.684kg
ISBN:  

9780205483877

ISBN 10:   0205483879
Pages:   224
Publication Date:   06 January 2008
Audience:   Professional and scholarly ,  Professional & Vocational
Replaced By:   9780205019670
Format:   Mixed media product
Publisher's Status:   Out of Print
Availability:   Out of stock  

Table of Contents

Brief Table of Contents: Chapter 1: Key Concepts in Social Science Research Chapter 2: Getting Started: Accessing, Examining, and Saving Data Chapter 3: Univariate Analysis: Descriptive Statistics Chapter 4: Constructing Variables Chapter 5: Assessing Association through Bivariate Analysis Chapter 6: Comparing Groups through Bivariate Analysis Chapter 7: Multivariate Analysis with Linear Regression Chapter 8 Multivariate Analysis with Logistic Regression Chapter 9: Writing a Research Report Chapter 10: Research Projects Comprehensive Table of Contents: *Each chapter begins with Overview, and concludes with Summary, Key Terms , and Exercises. Chapter1: Key Concepts in Social Science Research Why Do We Need Statistics Framing Topics Into Research Questions Theory and Hypothesis Population and Samples Relationships and Causality Data Chapter 2: Getting Started: Accessing, Examining,and Saving Data Initial Settings The Layout of SPSS Types of Variables Defining and Saving a New Data Set Managing Data Sets: Dropping and Adding Variables Merging and Importing Files Loading and Examining an Existing File Chapter 3: Univariate Analysis: Descriptive Statistics Why Do Researchers Perform Univariate Analysis? Exploring Distributions of Scale Variables Exploring Distributions of Categorical Variables Chapter 4: Constructing Variables Why Construct New Variables? Recoding Existing Variables Computing New Variables Recording Computations Using Syntax Chapter 5: Assessing Association through Bivariate Analysis Why Do We Need Significance Tests? Cross Tabulations Bar Charts Correlations Scatter Plots Chapter 6: Comparing Groups through Bivariate Analysis One-Way Analysis of Variance Post-hoc Tests Assumptions of ANOVA Graphing the Results of ANOVA T tests Chapter 7: Multivariate Analysis with Linear Regression The Advantages of Multivariate Analysis Linear Regression: A Bivariate Example Multiple Linear Regression Other Concerns In Applying Linear Regression Assumptions of Regression Dummy Variables Outliers Causality Chapter 8: Multivariate Analysis with Logistic Regression What Is Logistic Regression? When Can I Do a Logistic Regression? Understanding the Relationships through Probabilities Logistic Regression: A Bivariate Example Multivariate Logistic Regression: An Example Interpreting Logistic Regression Output Using Multivariate Logistic Regression Coefficients to Make Predictions Using Multivariate Coefficients to Graph a Logistic Regression Line Chapter 9: Writing a Research Report Overview Writing Style and Audience The Structure of a Report References and Further Reading Chapter 10: Research Projects Potential Research Projects Research Project 1: Racism Research Project 2: Suicide Research Project 3: Criminality Research Project 4: Welfare Research Project 5: Sexual Behavior Research Project 6: Education Research Project 7: Health Research Project 8: Happiness Research Project 9: Your Topic Appendix 1: STATES.SAV Descriptives Appendix 2: GSS98.SAV File Information Appendix 3: Variable Label Abbreviations Permissions Index

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Author Information

>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.

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