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Statistics in the social sciences : current methodological developments / / edited by Stanislav Kolenikov, Douglas Steinley, Lori Thombs
| Statistics in the social sciences : current methodological developments / / edited by Stanislav Kolenikov, Douglas Steinley, Lori Thombs |
| Pubbl/distr/stampa | Hoboken, N.J. : , : Wiley, , 2010 |
| Descrizione fisica | 1 online resource (xxii, 198 pages) : illustrations |
| Disciplina | 519.50243 |
| Altri autori (Persone) |
KolenikovStanislav
SteinleyDouglas ThombsLori A |
| Soggetto topico |
Social sciences - Statistical methods
Statistics |
| ISBN |
1-282-55119-1
9786612551192 0-470-58333-9 0-470-58332-0 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Statistics in the Social Sciences: Current Methodological Developments; Contents; List of Figures; List of Tables; Preface; 1 Analysis of Correlation Structures: Current Status and Open Problems; 1.1 Introduction; 1.2 Correlation versus Covariance Structures; 1.3 Estimation and Model Testing; 1.3.1 Basic Asymptotic Theory; 1.3.2 Distribution of T Under Model Misspecification; 1.3.3 Distribution of T Under Weight Matrix Misspecification; 1.3.4 Estimation and Testing with Arbitrary Distributions; 1.3.5 Tests of Model Fit Under Distributional Misspecification
1.3.6 Scaled and Adjusted Statistics; 1.3.7 Normal Theory Estimation and Testing; 1.3.8 Elliptical Theory Estimation and Testing; 1.3.9 Heterogeneous Kurtosis Theory Estimation and Testing; 1.3.10 Least Squares Estimation and Testing; 1.4 Example; 1.5 Simulations; 1.5.1 Data; 1.5.2 Correlation Structure with ADF Estimation and Testing; 1.5.3 Correlation Structure with Robust Least Squares Methods; 1.6 Discussion; References; 2 Overview of Structural Equation Models and Recent Extensions; 2.1 Model Specification and Assumptions; 2.1.1 Illustration of Special Cases; 2.1.2 Modeling Steps 2.2 Multilevel SEM; 2.2.1 The Between-and-Within Specification; 2.2.2 Random Effects as Factors Specification; 2.2.3 Summary and Comparison; 2.3 Structural Equation Mixture Models; 2.3.1 The Model; 2.3.2 Estimation; 2.3.3 Sensitivity to Assumptions; 2.3.4 Direct and Indirect Applications; 2.3.5 Summary; 2.4 Item Response Models; 2.4.1 Categorical CFA; 2.4.2 CCFA Estimation; 2.4.3 Item Response Theory; 2.4.4 CCFA and IRT; 2.4.5 Advantages and Disadvantages; 2.5 Complex Samples and Sampling Weights; 2.5.1 Complex Samples and Their Features; 2.5.2 Probability (Sampling) Weights. 2.5.3 Violations of SEM Assumptions; 2.5.4 SEM Analysis Using Complex Samples with Unequal Probabilities of Selection; 2.5.5 Future Research; 2.6 Conclusion; References; 3 Order-Constrained Proximity Matrix Representations; 3.1 Introduction; 3.1.1 Proximity Matrix for Illustration: Agreement Among Supreme Court Justices; 3.2 Order-Constrained Ultrametrics; 3.2.1 The M-file ultrafnd_confit.m; 3.2.2 The M-file ultrafnd_confnd.m; 3.2.3 Representing an (Order-Constrained) Ultrametric; 3.2.4 Alternative (and Generalizable) Graphical Representation for an Ultrametric 3.2.5 Alternative View of Ultrametric Matrix Decomposition; 3.3 Ultrametric Extensions by Fitting Partitions Containing Contiguous Subsets; 3.3.1 Ordered Partition Generalizations; 3.4 Extensions to Additive Trees: Incorporating Centroid Metrics; References; 4 Multiobjective Multidimensional (City-Block) Scaling; 4.1 Introduction; 4.2 City-Block MDS; 4.3 Multiobjective City-Block MDS; 4.3.1 The Metric Multiobjective City-Block MDS Model; 4.3.2 The Nonmetric Multiobjective City-Block MDS Model; 4.4 Combinatorial Heuristic; 4.5 Numerical Examples; 4.5.1 Example 1; 4.5.2 Example 2; 4.6 Summary and Conclusions |
| Record Nr. | UNINA-9910139367903321 |
| Hoboken, N.J. : , : Wiley, , 2010 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Statistics in the social sciences : current methodological developments / / edited by Stanislav Kolenikov, Douglas Steinley, Lori Thombs
| Statistics in the social sciences : current methodological developments / / edited by Stanislav Kolenikov, Douglas Steinley, Lori Thombs |
| Pubbl/distr/stampa | Hoboken, N.J., : Wiley, c2010 |
| Descrizione fisica | 1 online resource (xxii, 198 pages) : illustrations |
| Disciplina | 519.50243 |
| Altri autori (Persone) |
KolenikovStanislav
SteinleyDouglas ThombsLori A |
| Soggetto topico |
Social sciences - Statistical methods
Statistics |
| ISBN |
1-282-55119-1
9786612551192 0-470-58333-9 0-470-58332-0 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Statistics in the Social Sciences: Current Methodological Developments; Contents; List of Figures; List of Tables; Preface; 1 Analysis of Correlation Structures: Current Status and Open Problems; 1.1 Introduction; 1.2 Correlation versus Covariance Structures; 1.3 Estimation and Model Testing; 1.3.1 Basic Asymptotic Theory; 1.3.2 Distribution of T Under Model Misspecification; 1.3.3 Distribution of T Under Weight Matrix Misspecification; 1.3.4 Estimation and Testing with Arbitrary Distributions; 1.3.5 Tests of Model Fit Under Distributional Misspecification
1.3.6 Scaled and Adjusted Statistics; 1.3.7 Normal Theory Estimation and Testing; 1.3.8 Elliptical Theory Estimation and Testing; 1.3.9 Heterogeneous Kurtosis Theory Estimation and Testing; 1.3.10 Least Squares Estimation and Testing; 1.4 Example; 1.5 Simulations; 1.5.1 Data; 1.5.2 Correlation Structure with ADF Estimation and Testing; 1.5.3 Correlation Structure with Robust Least Squares Methods; 1.6 Discussion; References; 2 Overview of Structural Equation Models and Recent Extensions; 2.1 Model Specification and Assumptions; 2.1.1 Illustration of Special Cases; 2.1.2 Modeling Steps 2.2 Multilevel SEM; 2.2.1 The Between-and-Within Specification; 2.2.2 Random Effects as Factors Specification; 2.2.3 Summary and Comparison; 2.3 Structural Equation Mixture Models; 2.3.1 The Model; 2.3.2 Estimation; 2.3.3 Sensitivity to Assumptions; 2.3.4 Direct and Indirect Applications; 2.3.5 Summary; 2.4 Item Response Models; 2.4.1 Categorical CFA; 2.4.2 CCFA Estimation; 2.4.3 Item Response Theory; 2.4.4 CCFA and IRT; 2.4.5 Advantages and Disadvantages; 2.5 Complex Samples and Sampling Weights; 2.5.1 Complex Samples and Their Features; 2.5.2 Probability (Sampling) Weights. 2.5.3 Violations of SEM Assumptions; 2.5.4 SEM Analysis Using Complex Samples with Unequal Probabilities of Selection; 2.5.5 Future Research; 2.6 Conclusion; References; 3 Order-Constrained Proximity Matrix Representations; 3.1 Introduction; 3.1.1 Proximity Matrix for Illustration: Agreement Among Supreme Court Justices; 3.2 Order-Constrained Ultrametrics; 3.2.1 The M-file ultrafnd_confit.m; 3.2.2 The M-file ultrafnd_confnd.m; 3.2.3 Representing an (Order-Constrained) Ultrametric; 3.2.4 Alternative (and Generalizable) Graphical Representation for an Ultrametric 3.2.5 Alternative View of Ultrametric Matrix Decomposition; 3.3 Ultrametric Extensions by Fitting Partitions Containing Contiguous Subsets; 3.3.1 Ordered Partition Generalizations; 3.4 Extensions to Additive Trees: Incorporating Centroid Metrics; References; 4 Multiobjective Multidimensional (City-Block) Scaling; 4.1 Introduction; 4.2 City-Block MDS; 4.3 Multiobjective City-Block MDS; 4.3.1 The Metric Multiobjective City-Block MDS Model; 4.3.2 The Nonmetric Multiobjective City-Block MDS Model; 4.4 Combinatorial Heuristic; 4.5 Numerical Examples; 4.5.1 Example 1; 4.5.2 Example 2; 4.6 Summary and Conclusions |
| Record Nr. | UNINA-9910826211503321 |
| Hoboken, N.J., : Wiley, c2010 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||