Descripciones mejoradas de Syndetics:

Ideal as a companion to a statistics or research methods text or as a stand-alone guide, Using SPSS for Social Statistics and Research Methods shows readers how to use SPSS software in statistical data analysis. This fully updated Second Edition features images and directions drawn from SPSS Version 17.0 and now uses the latest version of the GSS (General Social Survey) as a secondary data set.

Features:

Offers a fully updated graphics chapter that highlights new features available in SPSS 17.0, including information on alternative routes to creating graphics

Includes updated examples, screenshots, and tables throughout

Briefly introduces statistical techniques before moving on to demonstrations

Offers new or expanded discussions of regression, correlation, t-test, chi-square, lambda, gamma/somers′ d, and ANOVA

Uses several kinds of computer files including data files, output files, and syntax files

Covers a wide range of data analysis topics to help students who are working independently on a research proposal, project, or paper

This supplementary text is designed as a manual for SPSS use for social statistics and research methods classes and is an excellent companion to any undergraduate statistics or research methods textbook. It will also serve as a useful reference for those learning to use the SPSS software for the first time.

Tabla de contenidos provista por Syndetics

• Preface
• Acknowledgments
• Chapter 1 Overview
• Statistical Software
• About the General Social Survey Data
• SPSS Electronic Files
• Opening Existing Data Files
• Importing Data From Non-SPSS File Formats
• Opening Previously Created Output Files
• Saving Files
• Creating New SPSS Data Files
• Creating and Editing SPSS Output Files
• Preferences: Getting Started
• Measurement of Variables Using SPSS
• Chapter 2 Transforming Variables
• Recoding and Computing Variables
• Recoding Variables
• Recoding Variables: Dichotomies and Dummy Variables
• Computing Variables
• Using the Count Function
• Computing an Index Using the Mean
• Multiple Response
• Chapter 3 Selecting and Sampling Cases
• Targeted Selection
• Random Selection
• Selecting Cases for Inclusion in a New Data Set
• Chapter 4 Organization and Presentation of Information
• Measures of Central Tendency and Variability
• Frequency Distributions
• Chapter 5 Charts and Graphs
• Boxplot
• Legacy Options for Graphs (Boxplot Example)
• Scatterplot
• Legacy Scatterplot
• Histogram
• Bar Graph
• Pie Chart
• Additional Graphic Capabilities in SPSS Statistics
• Chapter 6 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 and Sommers' d
• Chapter 7 Correlation and Regression Analysis
• Bivariate Regression
• Correlation
• Multiple Regression
• Chapter 8 Testing Hypotheses Using Means and Cross-Tabulation
• Comparing Means
• Comparing Means: Paired-Samples T Test
• Comparing Means: Independent-Samples T Test
• Chi-Square
• Chapter 9 Analysis of Variance
• One-Way ANOVA
• ANOVA With Regression
• Chapter 10 Editing Output
• Editing Basic Tables
• Copying to Microsoft Word
• Exporting Output
• Editing Charts and Graphs
• Chapter 11 Advanced Applications
• Merging Data From Multiple Files
• Opening Previously Created Syntax Files
• Creating New SPSS Syntax Files
• About the Author

Notas de autor provistas por Syndetics

William E. Wagner, III, PhD, is Chair of the Department of Sociology at California State University, Dominguez Hills and Executive Director of the Social Science Research & Instructional Council of the CSU. He is co-author of Adventures in Social Research, 11th edition (SAGE, 2022), The Practice of Survey Research(SAGE, 2016), and A Guide to R for Social and Behavioral Sciences (SAGE, 2020) and author of Using IBM® SPSS® Statistics for Research Methods and Social Science Statistics, 7th edition (SAGE, 2019).