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 Silver, Nate, 1978 author.
 [Pbk. ed., with new preface].  New York : Penguin Books, 2015.
 Description
 Book — xvii, 536 p. : ill. ; 22 cm
 Online
Green Library
Green Library  Status 

Find it On reserve: Ask at circulation desk  
CB158 .S54 2015  Unknown 2hour loan 
SOC38201
 Course
 SOC38201  Sociological Methodology II: Principles of Regression
 Instructor(s)
 Rosenfeld, Michael J
 Silver, Nate, 1978
 New York : Penguin Press, 2012.
 Description
 Book — 534 p. : ill. ; 25 cm.
 Online
Green Library
Green Library  Status 

Find it On reserve: Ask at circulation desk  
CB158 .S54 2012  Unknown 2hour loan 
SOC38201
 Course
 SOC38201  Sociological Methodology II: Principles of Regression
 Instructor(s)
 Rosenfeld, Michael J
 Treiman, Donald J.
 1st ed.  San Francisco, CA : JosseyBass, c2009.
 Description
 Book — xxxii, 443 p. : ill. ; 24 cm.
 Summary

 Tables, Figures, Exhibits, and Boxes xi
 Preface xxiii
 The Author xxvii
 Introduction xxix
 1 CROSSTABULATIONS
 1
 What This
 Chapter Is About
 1
 Introduction to the Book via a Concrete Example
 2
 CrossTabulations
 8
 What This Chapter Has Shown
 19
 2 MORE ON TABLES
 21
 What This
 Chapter Is About
 21
 The Logic of Elaboration
 22
 Suppressor Variables
 25
 Additive and Interaction Effects
 26
 Direct Standardization
 28
 A Final Note on Statistical Controls Versus Experiments
 43
 What This Chapter Has Shown
 45
 3 STILL MORE ON TABLES
 47
 What This
 Chapter Is About
 47
 Reorganizing Tables to Extract New Information
 48
 When to Percentage a Table "Backwards"
 50
 CrossTabulations in Which the Dependent Variable Is Represented by a Mean
 52
 Index of Dissimilarity
 58
 Writing About CrossTabulations
 61
 What This Chapter Has Shown
 63
 4 ON THE MANIPULATION OF DATA BY COMPUTER
 65
 What This
 Chapter Is About
 65
 Introduction
 66
 How Data Files Are Organized
 67
 Transforming Data
 72
 What This Chapter Has Shown
 80
 Appendix 4.A Doing Analysis Using Stata
 80
 Tips on Doing Analysis Using Stata
 80
 Some Particularly Useful Stata 10.0 Commands
 84
 5 INTRODUCTION TO CORRELATION AND REGRESSION (ORDINARY LEAST SQUARES)
 87
 What This
 Chapter Is About
 87
 Introduction
 88
 Quantifying the Size of a Relationship: Regression Analysis
 89
 Assessing the Strength of a Relationship: Correlation Analysis
 91
 The Relationship Between Correlation and Regression Coeffi cients
 94
 Factors Affecting the Size of Correlation (and Regression) Coeffi cients
 94
 Correlation Ratios
 99
 What This Chapter Has Shown
 102
 6 INTRODUCTION TO MULTIPLE CORRELATION AND REGRESSION (ORDINARY LEAST SQUARES)
 103
 What This
 Chapter Is About
 103
 Introduction
 104
 A Worked Example: The Determinants of Literacy in China
 113
 Dummy Variables
 120
 A Strategy for Comparisons Across Groups
 124
 A Bayesian Alternative for Comparing Models
 133
 Independent Validation
 135
 What This Chapter Has Shown
 136
 7 MULTIPLE REGRESSION TRICKS: TECHNIQUES FOR HANDLING SPECIAL ANALYTIC PROBLEMS
 139
 What This
 Chapter Is About
 139
 Nonlinear Transformations
 140
 Testing the Equality of Coeffi cients
 147
 Trend Analysis: Testing the Assumption of Linearity
 149
 Linear Splines
 152
 Expressing Coeffi cients as Deviations from the Grand Mean (Multiple Classifi cation Analysis)
 164
 Other Ways of Representing Dummy Variables
 166
 Decomposing the Difference Between Two Means
 172
 What This Chapter Has Shown
 179
 8 MULTIPLE IMPUTATION OF MISSING DATA
 181
 What This
 Chapter Is About
 181
 Introduction
 182
 A Worked Example: The Effect of Cultural Capital on Educational Attainment in Russia
 187
 What This Chapter Has Shown
 194
 9 SAMPLE DESIGN AND SURVEY ESTIMATION
 195
 What This
 Chapter Is About
 195
 Survey Samples
 196
 Conclusion
 223
 What This Chapter Has Shown
 224
 10 REGRESSION DIAGNOSTICS
 225
 What This
 Chapter Is About
 225
 Introduction
 226
 A Worked Example: Societal Differences in Status Attainment
 229
 Robust Regression
 237
 Bootstrapping and Standard Errors
 238
 What This Chapter Has Shown
 240
 11 SCALE CONSTRUCTION
 241
 What This
 Chapter Is About
 241
 Introduction
 242
 Validity
 242
 Reliability
 243
 Scale Construction
 246
 ErrorsinVariables Regression
 258
 What This Chapter Has Shown
 261
 12 LOGLINEAR ANALYSIS
 263
 What This
 Chapter Is About
 263
 Introduction
 264
 Choosing a Preferred Model
 265
 Parsimonious Models
 277
 A Bibliographic Note
 294
 What This Chapter Has Shown
 295
 Appendix 12.A Derivation of the Effect Parameters
 295
 Appendix 12.B Introduction to Maximum Likelihood Estimation
 297
 Mean of a Normal Distribution
 298
 LogLinear Parameters
 299
 13 BINOMIAL LOGISTIC REGRESSION
 301
 What This
 Chapter Is About
 301
 Introduction
 302
 Relation to LogLinear Analysis
 303
 A Worked Logistic Regression Example:
 Predicting Prevalence of Armed Threats
 304
 A Second Worked Example: Schooling Progression Ratios in Japan
 314
 A Third Worked Example (DiscreteTime HazardRate Models): Age at First Marriage
 318
 A Fourth Worked Example (CaseControl Models):
 Who Was Appointed to a Nomenklatura Position in Russia?
 327
 What This Chapter Has Shown
 329
 Appendix 13.A Some Algebra for Logs and Exponents
 330
 Appendix 13.B Introduction to Probit Analysis
 330
 14 MULTINOMIAL AND ORDINAL LOGISTIC REGRESSION AND TOBIT REGRESSION
 335
 What This
 Chapter Is About
 335
 Multinomial Logit Analysis
 336
 Ordinal Logistic Regression
 342
 Tobit Regression (and Allied Procedures) for Censored Dependent Variables
 353
 Other Models for the Analysis of Limited Dependent Variables
 360
 What This Chapter Has Shown
 361
 15 IMPROVING CAUSAL INFERENCE: FIXED EFFECTS AND RANDOM EFFECTS MODELING
 363
 What This
 Chapter Is About
 363
 Introduction
 364
 Fixed Effects Models for Continuous Variables
 365
 Random Effects Models for Continuous Variables
 371
 A Worked Example: The Determinants of Income in China
 372
 Fixed Effects Models for Binary Outcomes
 375
 A Bibliographic Note
 380
 What This Chapter Has Shown
 380
 16 FINAL THOUGHTS AND FUTURE DIRECTIONS: RESEARCH DESIGN AND INTERPRETATION ISSUES
 381
 What this
 Chapter is About
 381
 Research Design Issues
 382
 The Importance of Probability Sampling
 397
 A Final Note: Good Professional Practice
 400
 What This Chapter Has Shown
 405
 Appendix A: Data Descriptions and Download Locations for the Data Used in This Book
 407
 Appendix B: Survey Estimation with the General Social Survey
 411
 References
 417
 Index 431.
 (source: Nielsen Book Data)
(source: Nielsen Book Data) 9780470380031 20180530
 Online
Green Library
Green Library  Status 

Find it On reserve: Ask at circulation desk  
HA29 .T675 2009  Unknown 2hour loan 
SOC38201
 Course
 SOC38201  Sociological Methodology II: Principles of Regression
 Instructor(s)
 Rosenfeld, Michael J
 Treiman, Donald J.
 First edition.  San Francisco : JosseyBass, [2009]
 Description
 Book — 1 online resource (477 pages) : illustrations
 Summary

 Tables, Figures, Exhibits, and Boxes xi
 Preface xxiii
 The Author xxvii
 Introduction xxix
 1 CROSSTABULATIONS
 1
 What This
 Chapter Is About
 1
 Introduction to the Book via a Concrete Example
 2
 CrossTabulations
 8
 What This Chapter Has Shown
 19
 2 MORE ON TABLES
 21
 What This
 Chapter Is About
 21
 The Logic of Elaboration
 22
 Suppressor Variables
 25
 Additive and Interaction Effects
 26
 Direct Standardization
 28
 A Final Note on Statistical Controls Versus Experiments
 43
 What This Chapter Has Shown
 45
 3 STILL MORE ON TABLES
 47
 What This
 Chapter Is About
 47
 Reorganizing Tables to Extract New Information
 48
 When to Percentage a Table "Backwards"
 50
 CrossTabulations in Which the Dependent Variable Is Represented by a Mean
 52
 Index of Dissimilarity
 58
 Writing About CrossTabulations
 61
 What This Chapter Has Shown
 63
 4 ON THE MANIPULATION OF DATA BY COMPUTER
 65
 What This
 Chapter Is About
 65
 Introduction
 66
 How Data Files Are Organized
 67
 Transforming Data
 72
 What This Chapter Has Shown
 80
 Appendix 4.A Doing Analysis Using Stata
 80
 Tips on Doing Analysis Using Stata
 80
 Some Particularly Useful Stata 10.0 Commands
 84
 5 INTRODUCTION TO CORRELATION AND REGRESSION (ORDINARY LEAST SQUARES)
 87
 What This
 Chapter Is About
 87
 Introduction
 88
 Quantifying the Size of a Relationship: Regression Analysis
 89
 Assessing the Strength of a Relationship: Correlation Analysis
 91
 The Relationship Between Correlation and Regression Coeffi cients
 94
 Factors Affecting the Size of Correlation (and Regression) Coeffi cients
 94
 Correlation Ratios
 99
 What This Chapter Has Shown
 102
 6 INTRODUCTION TO MULTIPLE CORRELATION AND REGRESSION (ORDINARY LEAST SQUARES)
 103
 What This
 Chapter Is About
 103
 Introduction
 104
 A Worked Example: The Determinants of Literacy in China
 113
 Dummy Variables
 120
 A Strategy for Comparisons Across Groups
 124
 A Bayesian Alternative for Comparing Models
 133
 Independent Validation
 135
 What This Chapter Has Shown
 136
 7 MULTIPLE REGRESSION TRICKS: TECHNIQUES FOR HANDLING SPECIAL ANALYTIC PROBLEMS
 139
 What This
 Chapter Is About
 139
 Nonlinear Transformations
 140
 Testing the Equality of Coeffi cients
 147
 Trend Analysis: Testing the Assumption of Linearity
 149
 Linear Splines
 152
 Expressing Coeffi cients as Deviations from the Grand Mean (Multiple Classifi cation Analysis)
 164
 Other Ways of Representing Dummy Variables
 166
 Decomposing the Difference Between Two Means
 172
 What This Chapter Has Shown
 179
 8 MULTIPLE IMPUTATION OF MISSING DATA
 181
 What This
 Chapter Is About
 181
 Introduction
 182
 A Worked Example: The Effect of Cultural Capital on Educational Attainment in Russia
 187
 What This Chapter Has Shown
 194
 9 SAMPLE DESIGN AND SURVEY ESTIMATION
 195
 What This
 Chapter Is About
 195
 Survey Samples
 196
 Conclusion
 223
 What This Chapter Has Shown
 224
 10 REGRESSION DIAGNOSTICS
 225
 What This
 Chapter Is About
 225
 Introduction
 226
 A Worked Example: Societal Differences in Status Attainment
 229
 Robust Regression
 237
 Bootstrapping and Standard Errors
 238
 What This Chapter Has Shown
 240
 11 SCALE CONSTRUCTION
 241
 What This
 Chapter Is About
 241
 Introduction
 242
 Validity
 242
 Reliability
 243
 Scale Construction
 246
 ErrorsinVariables Regression
 258
 What This Chapter Has Shown
 261
 12 LOGLINEAR ANALYSIS
 263
 What This
 Chapter Is About
 263
 Introduction
 264
 Choosing a Preferred Model
 265
 Parsimonious Models
 277
 A Bibliographic Note
 294
 What This Chapter Has Shown
 295
 Appendix 12.A Derivation of the Effect Parameters
 295
 Appendix 12.B Introduction to Maximum Likelihood Estimation
 297
 Mean of a Normal Distribution
 298
 LogLinear Parameters
 299
 13 BINOMIAL LOGISTIC REGRESSION
 301
 What This
 Chapter Is About
 301
 Introduction
 302
 Relation to LogLinear Analysis
 303
 A Worked Logistic Regression Example:
 Predicting Prevalence of Armed Threats
 304
 A Second Worked Example: Schooling Progression Ratios in Japan
 314
 A Third Worked Example (DiscreteTime HazardRate Models): Age at First Marriage
 318
 A Fourth Worked Example (CaseControl Models):
 Who Was Appointed to a Nomenklatura Position in Russia?
 327
 What This Chapter Has Shown
 329
 Appendix 13.A Some Algebra for Logs and Exponents
 330
 Appendix 13.B Introduction to Probit Analysis
 330
 14 MULTINOMIAL AND ORDINAL LOGISTIC REGRESSION AND TOBIT REGRESSION
 335
 What This
 Chapter Is About
 335
 Multinomial Logit Analysis
 336
 Ordinal Logistic Regression
 342
 Tobit Regression (and Allied Procedures) for Censored Dependent Variables
 353
 Other Models for the Analysis of Limited Dependent Variables
 360
 What This Chapter Has Shown
 361
 15 IMPROVING CAUSAL INFERENCE: FIXED EFFECTS AND RANDOM EFFECTS MODELING
 363
 What This
 Chapter Is About
 363
 Introduction
 364
 Fixed Effects Models for Continuous Variables
 365
 Random Effects Models for Continuous Variables
 371
 A Worked Example: The Determinants of Income in China
 372
 Fixed Effects Models for Binary Outcomes
 375
 A Bibliographic Note
 380
 What This Chapter Has Shown
 380
 16 FINAL THOUGHTS AND FUTURE DIRECTIONS: RESEARCH DESIGN AND INTERPRETATION ISSUES
 381
 What this
 Chapter is About
 381
 Research Design Issues
 382
 The Importance of Probability Sampling
 397
 A Final Note: Good Professional Practice
 400
 What This Chapter Has Shown
 405
 Appendix A: Data Descriptions and Download Locations for the Data Used in This Book
 407
 Appendix B: Survey Estimation with the General Social Survey
 411
 References
 417
 Index 431.
 (source: Nielsen Book Data)
(source: Nielsen Book Data) 9780470380031 20180530
eReserve
eReserve  Status 

Instructor's copy  
(no call number)  Unknown 
SOC38201
 Course
 SOC38201  Sociological Methodology II: Principles of Regression
 Instructor(s)
 Rosenfeld, Michael J
 Agresti, Alan.
 2nd ed.  Hoboken, NJ : WileyInterscience, c2007.
 Description
 Book — xvii, 372 p. : ill., ports ; 25 cm.
 Summary

Praise for the First Edition: 'This is a superb text from which to teach categorical data analysis, at a variety of levels...[t]his book can be very highly recommended'  "Short Book Reviews". 'Of great interest to potential readers is the variety of fields that are represented in the examples: health care, financial, government, product marketing, and sports, to name a few'  "Journal of Quality Technology". 'Alan Agresti has written another brilliant account of the analysis of categorical data'  "The Statistician". The use of statistical methods for categorical data is ever increasing in today's world. "An Introduction to Categorical Data Analysis, Second Edition" provides an applied introduction to the most important methods for analyzing categorical data. This new edition summarizes methods that have long played a prominent role in data analysis, such as chisquared tests, and also places special emphasis on logistic regression and other modeling techniques for univariate and correlated multivariate categorical responses. This Second Edition features: two new chapters on the methods for clustered data, with an emphasis on generalized estimating equations (GEE) and random effects models; a unified perspective based on generalized linear models; an emphasis on logistic regression modeling; an appendix that demonstrates the use of SAS[registered] for all methods; an entertaining historical perspective on the development of the methods; specialized methods for ordinal data, small samples, multicategory data, and matched pairs; and more than 100 analyses of real data sets and nearly 300 exercises. Written in an applied, nontechnical style, the book illustrates methods using a wide variety of real data, including medical clinical trials, drug use by teenagers, basketball shooting, horseshoe crab mating, environmental opinions, correlates of happiness, and much more. "An Introduction to Categorical Data Analysis, Second Edition" is an invaluable tool for social, behavioral, and biomedical scientists, as well as researchers in public health, marketing, education, biological and agricultural sciences, and industrial quality control.
(source: Nielsen Book Data) 9780471226185 20160528
Green Library
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QA278 .A355 2007  Unknown 2hour loan 
SOC38201
 Course
 SOC38201  Sociological Methodology II: Principles of Regression
 Instructor(s)
 Rosenfeld, Michael J
6. Statistics [2007]
 Freedman, David, 19382008
 4th ed.  New York : W.W. Norton & Co., c2007.
 Description
 Book — 1 v. (various pagings) : ill. ; 26 cm.
 Summary

The Fourth Edition has been carefully revised and updated to reflect current data.
(source: Nielsen Book Data) 9780393930436 20160605
 Online
Green Library, Science Library (Li and Ma)
Green Library  Status 

Find it On reserve: Ask at circulation desk  
QA276 .F683 2007  Unknown 2hour loan 
QA276 .F683 2007  Unknown 2hour loan 
QA276 .F683 2007  Unknown 2hour loan 
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QA276 .F683 2007  Unavailable Missing Request 
QA276 .F683 2007  Unknown 
SOC38201
 Course
 SOC38201  Sociological Methodology II: Principles of Regression
 Instructor(s)
 Rosenfeld, Michael J
 Rice, John A., 1944
 2nd ed.  Belmont, CA : Duxbury Press, c1995.
 Description
 Book — xx, 602 p. A49 p. : ill. ; 24 cm. + 1 computer disk (3 1/2 in.)
 Summary

 1. Probability.
 2. Random Variables.
 3. Joint Distributions.
 4. Expected Values.
 5. Limit Theorems.
 6. Distributions Derived from the Normal Distribution.
 7. Survey Sampling.
 8. Estimation of Parameters and Fitting of Probability Distributions.
 9. Testing Hypotheses and Assessing Goodness of Fit.
 10. Summarizing Data.
 11. Comparing Two Samples.
 12. The Analysis of Variance.
 13. The Analysis of Categorical Data.
 14. Linear Least Squares.
 15. Decision Theory and Bayesian Inference.
 (source: Nielsen Book Data)
(source: Nielsen Book Data) 9780534209346 20160528
 Online
Green Library, Science Library (Li and Ma)
Green Library  Status 

Find it On reserve: Ask at circulation desk  
QA276.12 .R53 1995  Unknown 2hour loan 
Find it
Velma Denning Room (Social Science Data and Software)


QA276.12 .R53 1995  Inlibrary use 
Science Library (Li and Ma)  Status 

SOC38201
 Course
 SOC38201  Sociological Methodology II: Principles of Regression
 Instructor(s)
 Rosenfeld, Michael J
8. Event history analysis [1991]
 Yamaguchi, Kazuo.
 Newbury Park, Calif. : Sage Publications, c1991.
 Description
 Book — 182 p.
 Summary

 Introduction What is Event History Analysis? Discrete TimeLogit Model The Analysis of OneWay Transition Discrete TimeLogit Model The Analysis of TwoWay Transitions LogRate Models for Piecewise Constant Rates ContinuousTime Models with Cox's Method Proportional Hazards Models, NonProportional Hazards Models, and Stratified Models ContinuousTime Models with Cox's Method Use of TimeDependent Covariates and Related Issues Final Remarks Before Getting One's Own Research Started.
 (source: Nielsen Book Data)
(source: Nielsen Book Data) 9780803933248 20160528
 Online
Green Library
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H61 .Y347 1991  Unknown 2hour loan 
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H61 .Y347 1991  Unavailable In process Request 
SOC38201
 Course
 SOC38201  Sociological Methodology II: Principles of Regression
 Instructor(s)
 Rosenfeld, Michael J
9. Mobility tables [1983]
 Hout, Michael.
 Beverly Hills : Sage Publications, c1983.
 Description
 Book — 93 p. : ill. ; 22 cm.
 Summary

Explains the most widely used methods for analyzing crossclassified data on occupational origins and destinations. Hout reviews classic definitions, models, and sources of mobility data, as well as elementary operations for analyzing mobility tables. Tabular and graphic displays illustrate the discussion throughout.
(source: Nielsen Book Data) 9780803920569 20160528
Green Library, Education Library (Cubberley)
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HD5717 .H68 1983  Unknown 2hour loan 
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SOC38201
 Course
 SOC38201  Sociological Methodology II: Principles of Regression
 Instructor(s)
 Rosenfeld, Michael J