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Produktbild: Quantitative Data Analysis

Quantitative Data Analysis Doing Social Research to Test Ideas

87,99 €

inkl. gesetzl. MwSt., Versandkostenfrei


Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

01.01.2009

Verlag

Wiley

Seitenzahl

476

Maße (L/B/H)

23,1/17,5/3 cm

Gewicht

794 g

Sprache

Englisch

ISBN

978-0-470-38003-1

Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

01.01.2009

Verlag

Wiley

Seitenzahl

476

Maße (L/B/H)

23,1/17,5/3 cm

Gewicht

794 g

Sprache

Englisch

ISBN

978-0-470-38003-1

Herstelleradresse

Libri GmbH
Europaallee 1
36244 Bad Hersfeld
DE

Email: GPSR Kontakt

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  • Produktbild: Quantitative Data Analysis
  • Tables, Figures, Exhibits, and Boxes xi

    Preface xxiii

    The Author xxvii

    Introduction xxix

    1 CROSS-TABULATIONS 1

    What This Chapter Is About 1

    Introduction to the Book via a Concrete Example 2

    Cross-Tabulations 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

    Cross-Tabulations in Which the Dependent Variable Is Represented by a Mean 52

    Index of Dissimilarity 58

    Writing About Cross-Tabulations 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

    Errors-in-Variables Regression 258

    What This Chapter Has Shown 261

    12 LOG-LINEAR 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

    Log-Linear Parameters 299

    13 BINOMIAL LOGISTIC REGRESSION 301

    What This Chapter Is About 301

    Introduction 302

    Relation to Log-Linear 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 (Discrete-Time Hazard-Rate Models): Age at First Marriage 318

    A Fourth Worked Example (Case-Control 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