Using IBM SPSS statistics for research methods and social science statistics /
Wagner, William E.
Using IBM SPSS statistics for research methods and social science statistics / William E. Wagner, III, California State University, Channel Islands. - Seventh edition. - xi, 193 pages ; 26 cm
Includes bibliographical references.
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 Vanables -- 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 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 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 (x2) -- Chi-Square (x2) and Cross-Tabulation -- ch. 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 (X) -- Gamma (y), Kendall's Tau-b, and Somers'd -- References Note continued: ch. 8 Correlation and Regression Analysis -- Bivariate Regression -- Correlation -- Multiple Regression -- ch. 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 -- 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.
This book supports the use of SPSS for social statistics and research methods classes and is an excellent companion to any undergraduate statistics or research methods textbook. The book covers a wide range of data analysis topics to help students working on papers, research projects, and proposals. Using examples, tables, and actual SPSS screen captures, along with current data sets from the General Social Survey, it guides users through several different kinds of SPSS files including data files, output files, and syntax files.
9781506389004 1506389007
SPSS for Windows.
Social sciences--Statistical methods.
300.285/555
Using IBM SPSS statistics for research methods and social science statistics / William E. Wagner, III, California State University, Channel Islands. - Seventh edition. - xi, 193 pages ; 26 cm
Includes bibliographical references.
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 Vanables -- 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 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 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 (x2) -- Chi-Square (x2) and Cross-Tabulation -- ch. 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 (X) -- Gamma (y), Kendall's Tau-b, and Somers'd -- References Note continued: ch. 8 Correlation and Regression Analysis -- Bivariate Regression -- Correlation -- Multiple Regression -- ch. 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 -- 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.
This book supports the use of SPSS for social statistics and research methods classes and is an excellent companion to any undergraduate statistics or research methods textbook. The book covers a wide range of data analysis topics to help students working on papers, research projects, and proposals. Using examples, tables, and actual SPSS screen captures, along with current data sets from the General Social Survey, it guides users through several different kinds of SPSS files including data files, output files, and syntax files.
9781506389004 1506389007
SPSS for Windows.
Social sciences--Statistical methods.
300.285/555