Using SPSS for social statistics and research methods

著者

    • Wagner, William E. (William Edward)

書誌事項

Using SPSS for social statistics and research methods

William E. Wagner, III

Pine Forge Press, c2010

2nd ed

  • : pbk

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注記

Includes bibliographical references

内容説明・目次

内容説明

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.

目次

PrefaceAcknowledgmentsChapter 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 SPSSChapter 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 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 Bar Graph Pie Chart Additional Graphic Capabilities in SPSS StatisticsChapter 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' dChapter 7. Correlation and Regression Analysis Bivariate Regression Correlation Multiple RegressionChapter 8. Testing Hypotheses Using Means and Cross-Tabulation Comparing Means Comparing Means: Paired-Samples T Test Comparing Means: Independent-Samples T Test Chi-SquareChapter 9. Analysis of Variance One-Way ANOVA ANOVA With RegressionChapter 10. Editing Output Editing Basic Tables Copying to Microsoft Word Exporting Output Editing Charts and GraphsChapter 11. Advanced Applications Merging Data From Multiple Files Opening Previously Created Syntax Files Creating New SPSS Syntax FilesAbout the Author

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