Quantitative Data Analysis Doing Social Research to Test Ideas.

Detalles Bibliográficos
Autor principal: Treiman, Donald J.
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Newark : John Wiley & Sons, Incorporated, 2009.
Colección:New York Academy of Sciences Ser.
Temas:
Electronic books.
Acceso en línea:Texto completo
Tabla de Contenidos:
  • Quantitative Data Analysis: Doing Social Research to Test Ideas
  • Contents
  • Tables, Figures, Exhibits, and Boxes
  • Preface
  • The Author
  • Introduction
  • 1 Cross-Tabulations
  • What This Chapter Is About
  • Introduction to the Book via a Concrete Example
  • Cross-Tabulations
  • What This Chapter Has Shown
  • 2 More on Tables
  • What This Chapter Is About
  • The Logic of Elaboration
  • Suppressor Variables
  • Additive and Interaction Effects
  • Direct Standardization
  • A Final Note on Statistical Controls Versus Experiments
  • What This Chapter Has Shown
  • 3 Still More on Tables
  • What This Chapter Is About
  • Reorganizing Tables to Extract New Information
  • When to Percentage a Table "Backwards"
  • Cross-Tabulations in Which the Dependent Variable Is Represented by a Mean
  • Index of Dissimilarity
  • Writing About Cross-Tabulations
  • What This Chapter Has Shown
  • 4 On the Manipulation of Data by Computer
  • What This Chapter Is About
  • Introduction
  • How Data Files Are Organized
  • Transforming Data
  • What This Chapter Has Shown
  • Appendix 4.A Doing Analysis Using Stata
  • Tips on Doing Analysis Using Stata
  • Some Particularly Useful Stata 10.0 Commands
  • 5 Introduction to Correlation and Regression (Ordinary Least Squares)
  • What This Chapter Is About
  • Introduction
  • Quantifying the Size of a Relationship: Regression Analysis
  • Assessing the Strength of a Relationship: Correlation Analysis
  • The Relationship Between Correlation and Regression Coefficients
  • Factors Affecting the Size of Correlation (and Regression) Coefficients
  • Correlation Ratios
  • What This Chapter Has Shown
  • 6 Introduction to Multiple Correlation and Regression (Ordinary Least Squares)
  • What This Chapter Is About
  • Introduction
  • A Worked Example: The Determinants of Literacy in China
  • Dummy Variables
  • A Strategy for Comparisons Across Groups
  • A Bayesian Alternative for Comparing Models
  • Independent Validation
  • What This Chapter Has Shown
  • 7 Multiple Regression Tricks: Techniques for Handling Special Analytic Problems
  • What This Chapter Is About
  • Nonlinear Transformations
  • Testing the Equality of Coefficients
  • Trend Analysis: Testing the Assumption of Linearity
  • Linear Splines
  • Expressing Coefficients as Deviations from the Grand Mean (Multiple Classification Analysis)
  • Other Ways of Representing Dummy Variables
  • Decomposing the Difference Between Two Means
  • What This Chapter Has Shown
  • 8 Multiple Imputation of Missing Data
  • What This Chapter Is About
  • Introduction
  • A Worked Example: The Effect of Cultural Capital on Educational Attainment in Russia
  • What This Chapter Has Shown
  • 9 Sample Design and Survey Estimation
  • What This Chapter Is About
  • Survey Samples
  • Conclusion
  • What This Chapter Has Shown
  • 10 Regression Diagnostics
  • What This Chapter Is About
  • Introduction
  • A Worked Example: Societal Differences in Status Attainment

Ejemplares similares