Quantitative data analysis
Bezeichnung | Wert |
---|---|
Titel |
Quantitative data analysis
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Untertitel |
doing social research to test ideas
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Verfasserangabe |
Donald J. Treiman
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Medienart | |
Sprache | |
Person | |
Reihe | |
Verlag | |
Ort |
San Francisco, CA
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Jahr | |
Umfang |
XXXII, 443 p.
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ISBN13 |
978-0-470-38003-1
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Schlagwort | |
Annotation |
Summary
Quantitative Data Analysis : Doing Social Research to Test Ideas by Treiman, Donald J. This book is an accessible introduction to quantitative data analysis, concentrating on the key issues facing those new to research, such as how to decide which statistical procedure is suitable, and how to interpret the subsequent results. Each chapter includes illustrative examples and a set of exercises that allows readers to test their understanding of the topic. The book, written for graduate students in the social sciences, public health, and education, offers a practical approach to making sociological sense out of a body of quantitative data. The book also will be useful to more experienced researchers who need a readily accessible handbook on quantitative methods. Table of Contents Terms of Use Tables, Figures, Exhibits, and Boxes Preface The Author Introduction 1cross-Tabulations What This Chapter Is About Introduction to the Book via a Concrete Example Cross-Tabulations What This Chapter Has Shown 2More 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 3Still 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 4On 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 5Introduction 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 6Introduction 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 7Multiple 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 Classifi cation Analysis) Other Ways of Representing Dummy Variables Decomposing the Difference Between Two Means What This Chapter Has Shown 8Multiple 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 9Sample Design and Survey Estimation What This Chapter Is About Survey Samples Conclusion What This Chapter Has Shown 10Regression Diagnostics What This Chapter Is About Introduction A Worked |
Illustrationsangaben |
III.
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