Multilevel Analysis of Educational Data

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  • Format: Hardcover
  • Copyright: 1989-01-01
  • Publisher: Academic Pr

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Key Features * Bayesian methods * Empirical Bayes * Generalized least squares * Profile likelihoods * E-M algorithm * Fisher scoring procedures * Both educational and social science applications

Table of Contents

Some Applications of Multilevel Models of Educational Data
Empirical Bayes Methods: A Tool for Exploratory Analysis
A Hierarchical Item-response Model for Educational Testing
Difficulties with Bayesian Inference for Random Effects
Multilevel Aspects of Varying Parameters in Structural Models
Discussant, Discussions of Papers by Mislevy and Bock, MuthTen and Satorra, and Lewis
Models for Multilevel Response Variables with an Application to Growth Curves
Multilevel Models: Issues and Problems Emerging from their Recent Application in British Students of School Effectiveness
Discussant, What Can Go Wrong with Iteratively Re-weighted Least Squares?
Toward a More Appropriate Conceptualization of Research on School Effects: A Three-Level Hierarchical Linear Model
Quantitative Models for Estimating Teacher and School Effectiveness
Multilevel Investigations of Systematically Varying Slopes: Issues, Alternatives, and Consequences
-Discussant, Multilevel Data Analysis: A Discussion
Profile Predictive Likelihood for Random Effects in the Two-Level Model
Fisher Scoring Algorithm for Variance Component Analysis of Data with Multilevel Structure
Discussant, Discussion of Aitkin's and Longford's Paper
Addendum-Measurement of Human Variation: A Two-Stage Model
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