{"product_id":"statistics-in-the-social-sciences-9780470148747","title":"Statistics in the Social Sciences","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003e* A collection of over fifteen original articles fromcontributors around the world that bring together new and excitingstatistical methodologies in the social sciences.    * Represents the most up-to-date, cutting edge methodologies thatare pertinent to both practicing statisticians and academic socialscientists.\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003eList of Figures.  \u003cp\u003eList of Tables.\u003c\/p\u003e \u003cp\u003ePreface.\u003c\/p\u003e \u003cp\u003e\u003cb\u003e1 Analysis of Correlation Structures: Current Status and Open Problems.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e1.1 Introduction.\u003c\/p\u003e \u003cp\u003e1.2 Correlation versus Covariance Structures.\u003c\/p\u003e \u003cp\u003e1.3 Estimation and Model Testing.\u003c\/p\u003e \u003cp\u003e1.3.1 Basic Asymptotic Theory.\u003c\/p\u003e \u003cp\u003e1.3.2 Distribution of \u003ci\u003eT\u003c\/i\u003e Under Model Misspecification.\u003c\/p\u003e \u003cp\u003e1.3.3 Distribution of \u003ci\u003eT\u003c\/i\u003e Under Weight Matrix Misspecification.\u003c\/p\u003e \u003cp\u003e1.3.4 Estimation and Testing with Arbitrary Distributions.\u003c\/p\u003e \u003cp\u003e1.3.5 Tests of Model Fit Under Distributional Misspecification.\u003c\/p\u003e \u003cp\u003e1.3.6 Scaled and Adjusted Statistics.\u003c\/p\u003e \u003cp\u003e1.3.7 Normal Theory Estimation and Testing.\u003c\/p\u003e \u003cp\u003e1.3.8 Elliptical Theory Estimation and Testing.\u003c\/p\u003e \u003cp\u003e1.3.9 Heterogeneous Kurtosis Theory Estimation and Testing.\u003c\/p\u003e \u003cp\u003e1.3.10 Least Squares Estimation and Testing.\u003c\/p\u003e \u003cp\u003e1.4 Example.\u003c\/p\u003e \u003cp\u003e1.5 Simulations.\u003c\/p\u003e \u003cp\u003e1.5.1 Data.\u003c\/p\u003e \u003cp\u003e1.5.2 Correlation Structure with ADF Estimation and Testing.\u003c\/p\u003e \u003cp\u003e1.5.3 Correlation Structure with Robust Least Squares Methods.\u003c\/p\u003e \u003cp\u003e1.6 Discussion.\u003c\/p\u003e \u003cp\u003eReferences.\u003c\/p\u003e \u003cp\u003e\u003cb\u003e2 Overview of Structural Equation Models and Recent Extensions.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e2.1 Model Specification and Assumptions.\u003c\/p\u003e \u003cp\u003e2.1.1 Illustration of Special Cases.\u003c\/p\u003e \u003cp\u003e2.1.2 Modeling Steps.\u003c\/p\u003e \u003cp\u003e2.2 Multilevel SEM.\u003c\/p\u003e \u003cp\u003e2.2.1 The Between-and-Within Specification.\u003c\/p\u003e \u003cp\u003e2.2.2 Random Effects as Factors Specification.\u003c\/p\u003e \u003cp\u003e2.2.3 Summary and Comparison.\u003c\/p\u003e \u003cp\u003e2.3 Structural Equation Mixture Models.\u003c\/p\u003e \u003cp\u003e2.3.1 The Model.\u003c\/p\u003e \u003cp\u003e2.3.2 Estimation.\u003c\/p\u003e \u003cp\u003e2.3.3 Sensitivity to Assumptions.\u003c\/p\u003e \u003cp\u003e2.3.4 Direct and Indirect Applications.\u003c\/p\u003e \u003cp\u003e2.3.5 Summary.\u003c\/p\u003e \u003cp\u003e2.4 Item Response Models.\u003c\/p\u003e \u003cp\u003e2.4.1 Categorical CFA.\u003c\/p\u003e \u003cp\u003e2.4.2 CCFA Estimation.\u003c\/p\u003e \u003cp\u003e2.4.3 Item Response Theory.\u003c\/p\u003e \u003cp\u003e2.4.4 CCFA and IRT.\u003c\/p\u003e \u003cp\u003e2.4.5 Advantages and Disadvantages.\u003c\/p\u003e \u003cp\u003e2.5 Complex Samples and Sampling Weights.\u003c\/p\u003e \u003cp\u003e2.5.1 Complex Samples and Their Features.\u003c\/p\u003e \u003cp\u003e2.5.2 Probability (Sampling) Weights.\u003c\/p\u003e \u003cp\u003e2.5.3 Violations of SEM Assumptions.\u003c\/p\u003e \u003cp\u003e2.5.4 SEM Analysis Using Complex Samples with Unequal Probabilities of Selection.\u003c\/p\u003e \u003cp\u003e2.5.5 Future Research.\u003c\/p\u003e \u003cp\u003e2.6 Conclusion.\u003c\/p\u003e \u003cp\u003eReferences.\u003c\/p\u003e \u003cp\u003e\u003cb\u003e3 Order-Constrained Proximity Matrix Representations.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e3.1 Introduction.\u003c\/p\u003e \u003cp\u003e3.1.1 Proximity Matrix for Illustration: Agreement Among Supreme Court Justices.\u003c\/p\u003e \u003cp\u003e3.2 Order-Constrained Ultrametrics.\u003c\/p\u003e \u003cp\u003e3.2.1 The M-file ultrafnd_confit.m.\u003c\/p\u003e \u003cp\u003e3.2.2 The M-file ultrafnd_confnd.m.\u003c\/p\u003e \u003cp\u003e3.2.3 Representing an (Order-Constrained) Ultrametric.\u003c\/p\u003e \u003cp\u003e3.2.4 Alternative (and Generalizable) Graphical Representation for an Ultrametric.\u003c\/p\u003e \u003cp\u003e3.2.5 Alternative View of Ultrametric Matrix Decomposition.\u003c\/p\u003e \u003cp\u003e3.3 Ultrametric Extensions by Fitting Partitions Containing Contiguous Subsets.\u003c\/p\u003e \u003cp\u003e3.3.1 Ordered Partition Generalizations.\u003c\/p\u003e \u003cp\u003e3.4 Extensions to Additive Trees: Incorporating Centroid Metrics.\u003c\/p\u003e \u003cp\u003eReferences.\u003c\/p\u003e \u003cp\u003e\u003cb\u003e4 Multiobjective Multidimensional (City-Block) Scaling.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e4.1 Introduction.\u003c\/p\u003e \u003cp\u003e4.2 City-Block MDS.\u003c\/p\u003e \u003cp\u003e4.3 Multiobjective City-Block MDS.\u003c\/p\u003e \u003cp\u003e4.3.1 The Metric Multiobjective City-Block MDS Model.\u003c\/p\u003e \u003cp\u003e4.3.2 The Nonmetric Multiobjective City-Block MDS Model.\u003c\/p\u003e \u003cp\u003e4.4 Combinatorial Heuristic.\u003c\/p\u003e \u003cp\u003e4.5 Numerical Examples.\u003c\/p\u003e \u003cp\u003e4.5.1 Example 1.\u003c\/p\u003e \u003cp\u003e4.5.2 Example 2.\u003c\/p\u003e \u003cp\u003e4.6 Summary and Conclusions.\u003c\/p\u003e \u003cp\u003eReferences.\u003c\/p\u003e \u003cp\u003e\u003cb\u003e5 Critical Differences in Bayesian and Non-Bayesian Inference.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e5.1 Introduction.\u003c\/p\u003e \u003cp\u003e5.2 The Mechanics of Bayesian Inference.\u003c\/p\u003e \u003cp\u003e5.2.1 Example with Count Data.\u003c\/p\u003e \u003cp\u003e5.2.2 Comments on Prior Distributions.\u003c\/p\u003e \u003cp\u003e5.3 Specific Differences Between Bayesians and non-Bayesians.\u003c\/p\u003e \u003cp\u003e5.4 Paradigms For Testing.\u003c\/p\u003e \u003cp\u003e5.5 Change-point Analysis of Thermonuclear Testing Data.\u003c\/p\u003e \u003cp\u003e5.6 Conclusion.\u003c\/p\u003e \u003cp\u003eReferences.\u003c\/p\u003e \u003cp\u003e\u003cb\u003e6 Bootstrap Test of Shape Invariance Across Distributions.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e6.1 Lack of Robustness of a Parametric Test.\u003c\/p\u003e \u003cp\u003e6.2 Development of a Nonparametric Shape Test.\u003c\/p\u003e \u003cp\u003e6.3 Example.\u003c\/p\u003e \u003cp\u003e6.4 Extension of the Shape Test.\u003c\/p\u003e \u003cp\u003e6.5 Characteristics of the Bootstrap Shape Test.\u003c\/p\u003e \u003cp\u003e6.6 Application.\u003c\/p\u003e \u003cp\u003e6.7 Conclusion.\u003c\/p\u003e \u003cp\u003eReferences.\u003c\/p\u003e \u003cp\u003e\u003cb\u003e7 Statistical Software for the Social Sciences.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e7.1 Social Science Research: Primary Capabilities.\u003c\/p\u003e \u003cp\u003e7.2 STATISTICAL SOCIAL SCIENCE STATISTICAL APPLICATIONS.\u003c\/p\u003e \u003cp\u003e7.2.1 R.\u003c\/p\u003e \u003cp\u003e7.2.2 SAS.\u003c\/p\u003e \u003cp\u003e7.2.3 SPSS.\u003c\/p\u003e \u003cp\u003e7.2.4 Stata.\u003c\/p\u003e \u003cp\u003e7.2.5 STATISTICA.\u003c\/p\u003e \u003cp\u003e7.2.6 StatXact\/LogXact.\u003c\/p\u003e \u003cp\u003e7.3 STATISTICAL APPLICATION UTILITIES.\u003c\/p\u003e \u003cp\u003e7.3.1 Stat\/Transfer.\u003c\/p\u003e \u003cp\u003e7.3.2 ePrint Professional.\u003c\/p\u003e \u003cp\u003e7.3.3 nQuery Advisor.\u003c\/p\u003e \u003cp\u003e7.4 Summary Comments.\u003c\/p\u003e \u003cp\u003eReferences.\u003c\/p\u003e \u003cp\u003e\u003cb\u003e8 Conclusion: Roundtable Discussion.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eIndex.\u003c\/p\u003e","brand":"Wiley","offers":[{"title":"Default Title","offer_id":53515415159127,"sku":"9780470148747","price":80.96,"currency_code":"GBP","in_stock":true}],"url":"https:\/\/bookcurl.com\/products\/statistics-in-the-social-sciences-9780470148747","provider":"Book Curl","version":"1.0","type":"link"}