Using IBM SPSS statistics for research methods and social science statistics. (2016)

• Record Type: Book
• Uniform Title: Using SPSS for social sciences and research methods
• Further Information: Note: William E. Wagner, III.
• Authors: Wagner, William E (William Edward)
• Contents: CHAPTER 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; CHAPTER 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; 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; Multivariate Histogram; Horizontal Histogram; Bar Graph; Multivariate Bar Graph; Pie Chart; Additional Graphic Capabilities in SPSS Statistics; CHAPTER 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-Tabulation; CHAPTER 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’ d; CHAPTER 8: Correlation and Regression Analysis; Bivariate Regression; Correlation; Multiple Regression; CHAPTER 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 Models; CHAPTER 10: Analysis of Variance; One-Way ANOVA; ANOVA in Regression; CHAPTER 11: Editing Output; Editing Basic Tables; Copying to Microsoft Word; Importing and Preparing Text Files for Analysis by SPSS; Editing Charts and Graphs; CHAPTER 12: Advanced Applications; Merging Data From Multiple Files; Opening Previously Created Syntax Files; Creating New SPSS Syntax Files;
• Edition: Sixth edition
• Publisher Details: Los Angeles : SAGE
• Publication Date: 2016
• Extent: 1 online resource, illustrations
• Subjects: 300.285555; Social sciences -- Statistical methods
• Languages: English
• ISBNs: 9781506331744
• Notes: Note: Description based on CIP data; item not viewed.
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