Value added modeling and growth modeling with particular application to teacher and school effectiveness
By: edited by Robert W. Lissitz and Hong Jiao
Series: The MARCES book series
Publisher: Information Age Publishing, Inc.
Published: 2015
Place of publication: Charlotte, NC
Language: eng
Number of pages: 311
ISBN-13: 9781623967741; 9781623967758; 9781623967765
Subjects: Educational evaluation; Congresses; Teachers; Rating of; Teacher effectiveness; Education; Standards; Academic achievement; Evaluation
Notes: Papers originally presented at the 12th annual Maryland Assessment Research Center conference, October 18-19, 2012.
Table of contents: title: Should nonlinear functions of test scores be used as covariates in a regression model? / J.R. Lockwood and Daniel F. McCaffrey; title: Value-added to what? : the paradox of multidimensionality / Derek C. Briggs and Ben Domingue; title: Accuracy, transparency, and incentives : contrasting criteria for evaluating growth models / Andrew Ho; title: A research-based response to federal non-regulatory guidance on growth models / Mark Ehlert, Cory Koedel, Eric Parsons, and Michael Podgursky; title: Borrowing the strength of unidimensional scaling to produce multidimensional educational effectiveness profiles / Joseph A. Martineau, and Ji Zeng; title: Value-added models and the next generation of assessments / Robert H. Meyer and Emin Dokumaci; title: Using auxiliary teacher data to improve value-added : an application of small area estimation to middle school mathematics teachers / Daniel F. McCaffrey, Bing Han, and J.R. Lockwood; title: The evaluation of teachers and schools using the educator response function (ERF) / Mark D. Reckase and Joseph A. Martineau; title: The effective use of student and school descriptive indicators of learning progress : from the conditional growth index to the learning productivity measurement system / Y.M. Thum; title: Educational value-added analysis of covariance models with error in the covariates / S. Paul Wright; title: Direct modeling of student growth with multilevel and mixture extensions / Hong Jiao and Robert Lissitz.