Details

Autor(en) / Beteiligte

• Kolenikov, Stanislav
• Steinley, Douglas
• Thombs, Lori A

Titel

Statistics in the social sciences : current methodological developments

Ort / Verlag

Hoboken, N.J. : Wiley,

Erscheinungsjahr

2010

Link zum Volltext

• Wiley Online Library - AutoHoldings Books

Beschreibungen/Notizen

• Description based upon print version of record.
• Includes bibliographical references and index.
• 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
• A one-of-a-kind compilation of modern statistical methods designed to support and advance research across the social sciences Statistics in the Social Sciences: Current Methodological Developments presents new and exciting statistical methodologies to help advance research and data analysis across the many disciplines in the social sciences. Quantitative methods in various subfields, from psychology to economics, are under demand for constant development and refinement. This volume features invited overview papers, as well as original research presented at the Sixth Annual Wine
• English