http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
Statistical methods for social scientists
1 online resource (xiii, 374 pages) : illustrations
The aspects of this text which we believe are novel, at least in degree, include: an effort to motivate different sections with practical examples and an empirical orientation; an effort to intersperse several easily motivated examples throughout the book and to maintain some continuity in these examples; and the extensive use of Monte Carlo simulations to demonstrate particular aspects of the problems and estimators being considered. In terms of material being presented, the unique aspects include the first chapter which attempts to address the use of empirical methods in the social sciences, the seventh chapter which considers models with discrete dependent variables and unobserved variables. Clearly these last two topics in particular are quite advanced--more advanced than material that is currently available on the subject. These last two topics are also currently experiencing rapid development and are not adequately described in most other texts.
Front Cover; Statistical Methods for Social Scientists; Copyright Page; Table of Contents; Preface; Acknowledgments; Chapter 1. Empirical Analyses in the Social Sciences; 1.1 Introduction; 1.2 Social Science Theory and Statistical Models; 1.3 Fitting Models to Data; 1.4 The Development of Stochastic Models; 1.5 The Analysis of Nonexperimental Data and the Selection of a Statistical Procedure; 1.6 Simple Methods; REVIEW QUESTIONS; Chapter 2. Estimation with Simple Linear Models; 2.1 Introduction; 2.2 The Basic Model; 2.3 Least Squares Estimators; 2.4 Two Examples; 2.5 Conclusion; APPENDIX 2.1.
APPENDIX 2.2REVIEW QUESTIONS; Chapter 3. Least Squares Estimators: Statistical Properties and Hypothesis Testing; 3.1 Introduction; 3.2 Properties of Least Squares Estimators; 3.3 Distribution of b-A Monte Carlo Experiment; 3.4 Statistical Inference; 3.5 Hypothesis Tests for Schooling/Earnings Model; 3.6 Conclusion; APPENDIX 3.1; REVIEW QUESTIONS; Chapter 4. Ordinary Least Squares in Practice; 4.1 Introduction; 4.2 Interpretation of Regression Coefficients; 4.3 Model Specification; 4.4 Multicollinearity; 4.5 Model Specification and Multicollinearity in Practice; 4.6 Functional Forms.
4.7 Dummy Explanatory VariablesREVIEW QUESTIONS; Chapter 5. Multivariate Estimation in Matrix Form; 5.1 Introduction; 5.2 The Least Squares Estimators; 5.3 Least Squares in Matrix Notation; 5.4 Properties of Least Squares; 5.5 Distributional Aspects of the Error Term; 5.6 Statistical Inference; 5.7 Multivariate Education Example; 5.8 Multicollinearity; 5.9 Conclusion; APPENDIX 5.1; APPENDIX 5.2; REVIEW QUESTIONS; Cahpter 6. Generalized Least Squares; 6.1 Introduction; 6.2 Heteroskedasticity and Autocorrelation; 6.3 Formal Statement of the Problem; 6.4 Generalized Least Squares.
6.5 Generalized Least Squares and Examples of Heteroskedasticity and Autocorrelation6.6 Generalized Least Squares and Weighted Regression; 6.7 Monte Carlo Simulation of Generalized Least Squares; 6.8 Generalized Least Squares in Practice; 6.9 Visual Diagnostics; 6.10 Dynamic Models; 6.11 Conclusion; APPENDIX 6.1; APPENDIX 6.2; REVIEW QUESTIONS; Chapter 7. Models with Discrete Dependent Variables; 7.1 Introduction; 7.2 The Problem of Estimating Models with Discrete Dependent Variables; 7.3 Alternative Models-Dichotomous Dependent Variables; 7.4 Logit Analysis-Grouped Data.
7.5 Logit Analysis-Microdata7.6 Probit Analysis; 7.7 An Example; 7.8 Monte Carlo Simulation of Dichotomous Dependent Variables; 7.9 Polytomous Variables/Joint Distributions; 7.10 Conclusions; Chapter 8. Introduction to Multiequation Models; 8.1 Introduction; 8.2 Two Examples of Structural Systems; 8.3 Path Analysis; 8.4 The General Multiequation Model; 8.5 Estimating Hierarchical Models; 8.6 Hierarchical, Nonrecursive Systems; 8.7 Underidentification in Hierarchical Models; 8.8 Nonrecursive Hierarchical Models: Two Examples; 8.9 Conclusion; APPENDIX 8.1; REVIEW QUESTIONS.
Master and use copy. Digital master created according to Benchmark for Faithful Digital Reproductions of Monographs and Serials, Version 1. Digital Library Federation, December 2002. http://purl.oclc.org/DLF/benchrepro0212 MiAaHDL
digitized 2010 HathiTrust Digital Library committed to preserve pda MiAaHDL
Includes bibliographical references (pages 367-368) and index.
Quantitative studies in social relations