Reliable and student-friendly, Using IBM® SPSS® Statistics for Research Methods and Social Science Statistics by William E. Wagner, III is known for its effectiveness in helping readers learn to use SPSS software for simple data management. Now reflecting SPSS Version 23.0, the Sixth Edition includes updated examples, screenshots, and tables based on current GSS (General Social Survey) data. This manual is an excellent companion to any undergraduate social statistics and research methods text and is ideal as a stand-alone guide for those learning to use SPSS software for the first time.
|Edition description:||Sixth Edition|
|Product dimensions:||6.80(w) x 9.90(h) x 0.60(d)|
About the Author
William E. Wagner, III, PhD, is Professor of Sociology at California State University-Channel Islands where he teaches courses in statistics and research methods. He has published research on topics such as urban sociology, sports, homophobia, and academic status. He is co-author of Adventures in Social Research, 9E (SAGE, c. 2015) and The Practice of Survey Research (SAGE, c. 2016), and author of Using IBM® SPSS® Statistics for Research Methods and Social Science Statistics.
Table of ContentsCHAPTER 1: Overview What’s the Difference Between SPSS Statistics and PASW Statistics? None. Statistical Software About the GSS Data SPSS/PASW Electronic Files Opening Existing Data Files Importing Data From Statistics File Formats Other Than SPSS or PASW Opening Previously Created Output Files Saving Files Creating New SPSS Statistics Data Files Creating and Editing SPSS Statistics Output Files Preferences: Getting Started Measurement of Variables Using SPSS StatisticsCHAPTER 2: Transforming Variables Recoding and Computing Variables Recoding Variables: Dichotomies and Dummy Variables Recoding Using Two or More Variables to Create a New Variable Computing Variables Using the Count Function Computing an Index Using the Mean Multiple ResponseCHAPTER 3: Selecting and Sampling Cases Targeted Selection Random Selection Selecting Cases for Inclusion in a New Data SetCHAPTER 4: Organization and Presentation of Information Measures of Central Tendency and Variability Frequency DistributionsCHAPTER 5: Charts and Graphs Boxplot Legacy Options for Graphs (Boxplot Example) Scatterplot Legacy Scatterplot Histogram Multivariate Histogram Horizontal Histogram Bar Graph Multivariate Bar Graph Pie Chart Additional Graphic Capabilities in SPSS StatisticsCHAPTER 6: Testing Hypotheses Using Means and Cross-Tabulation Comparing Means Comparing Means: Paired-Samples t Test Comparing Means: Independent-Samples t Test One-Sample t Test Chi-Square Chi-Square and Cross-TabulationCHAPTER 7: Cross-Tabulation and Measures of Association for Nominal and Ordinal Variables Bivariate Analysis Adding Another Variable or Dimension to the Analysis Measures of Association for Nominal and Ordinal Variables Lambda Gamma, Kendall’s Tau-b, and Somers’ dCHAPTER 8: Correlation and Regression Analysis Bivariate Regression Correlation Multiple RegressionCHAPTER 9: Logistic Regression Analysis Preparing Variables for Use in Logistic Regression Analysis Creating a Set of Dummy Variables to Represent a Multicategory Nominal Variable Logistic Regression Analysis Logistic Regression Using a Categorical Covariate Without Dummy Variables Interpreting Odds Ratios Step ModelsCHAPTER 10: Analysis of Variance One-Way ANOVA ANOVA in RegressionCHAPTER 11: Editing Output Editing Basic Tables Copying to Microsoft Word Importing and Preparing Text Files for Analysis by SPSS Editing Charts and GraphsCHAPTER 12: Advanced Applications Merging Data From Multiple Files Opening Previously Created Syntax Files Creating New SPSS Syntax Files