| Edition |
4th ed. |
| Physical description |
ix, 156 pages : illustrations ; 23 cm |
| Bibliography |
Includes bibliographical references and index. |
| Contents |
Machine generated contents note: ch. 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 Statistics -- References -- ch. 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 Response -- ch. 3 Selecting and Sampling Cases -- Targeted Selection -- Random Selection -- Selecting Cases for Inclusion in a New Data Set -- |
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Contents note continued: ch. 4 Organization and Presentation of Information -- Measures of Central Tendency and Variability -- Frequency Distributions -- ch. 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 Statistics -- ch. 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 (λ) -- Gamma (γ), Kendall's Tau-b, and Somers' d -- References -- ch. 7 Correlation and Regression Analysis -- Bivariate Regression -- Correlation -- Multiple Regression -- ch. 8 Logistic Regression Analysis -- Preparing Variables for Use in Logistic Regression Analysis -- |
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Contents note continued: 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 -- ch. 9 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 (Χ2) -- Chi-Square (Χ2) and Cross-Tabulation -- ch. 10 Analysis of Variance -- One-Way ANOVA -- ANOVA in Regression -- ch. 11 Editing Output -- Editing Basic Tables -- Copying to Microsoft Word -- Importing and Preparing Text Files for Analysis by SPSS -- Editing Charts and Graphs -- ch. 12 Advanced Applications -- Merging Data From Multiple Files -- Opening Previously Created Syntax Files -- Creating New SPSS Syntax Files. |
| Summary |
"Ideal as either a companion to a traditional statistics or research methods text or as a stand-alone guide, Using IBM® SPSS for Social Statistics and Research Methods, Fourth Edition is a useful reference for those learning to use the SPSS software for the first time or those with only basic knowledge about SPSS. This student-friendly resource shows readers how to use images and directions drawn from SPSS Version 20 and now uses the latest version of the General Social Survey (GSS, 2010) as a secondary data set."--Publisher's website. |
| Subject |
SPSS for Windows.
|
|
Social sciences -- Statistical methods.
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| ISBN |
9781452217703 (paperback) |
|
145221770X (paperback) |
|
