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Growth Model Comparison Study: Practical Implications of Alternative Models for Evaluating School Performance

Author(s)Pete Goldschmidt, Kilchan Choi, & J.P. Beaudoin
Publication dateFebruary 2012
publication pdfGrowth Model Comparison Study: Practical Implications of Alternative Models for Evaluating School Performance

This paper reports on an empirical study that compared the results of applying nine different analytic growth models to a large multi-state longitudinal data set (four consecutive years divided into two elementary and two middle school three-year cohorts) representing more than 2,500 buildings and 220,000 students.  This applied study was well suited to address empirically whether certain models are more likely than others to provide accurate, fair, unbiased, precise, and consistent results. The study is important because it is the first designed to make it possible to see whether results are different or similar when (a) the same growth models are estimated in different states and (b) different models are estimated in the same state.