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Backes, Ben; Cowan, James – National Center for Analysis of Longitudinal Data in Education Research (CALDER), 2020
Prior work has documented a substantial penalty associated with taking the Partnership for Assessment of Readiness for College and Careers (PARCC) online relative to on paper (Backes & Cowan, 2019). However, this penalty does not necessarily make online tests less useful. For example, it could be the case that computer literacy skills are…
Descriptors: Predictive Validity, Test Validity, Computer Assisted Testing, Comparative Analysis
Backes, Ben; Cowan, James; Goldhaber, Dan; Koedel, Cory; Miller, Luke; Xu, Zeyu – National Center for Analysis of Longitudinal Data in Education Research (CALDER), 2016
Using administrative longitudinal data from five states, we study how value-added measures of teacher performance are affected by changes in state standards and assessments. We first document the stability of teachers' value-added rankings during transitions to new standard and assessment regimes and compare our findings to stability during stable…
Descriptors: Common Core State Standards, Value Added Models, Teacher Effectiveness, Predictive Validity
Codding, Robin S.; Mercer, Sterett; Connell, James; Fiorello, Catherine; Kleinert, Whitney – School Psychology Review, 2016
There is a paucity of evidence supporting the use of curriculum-based mathematics measures (M-CBMs) at the middle school level, which makes data-based decisions challenging for school professionals. The purpose of this study was to examine the relationships among three existing M-CBM indices: (a) basic facts, (b) concepts/application, and (c)…
Descriptors: Curriculum Based Assessment, Mathematics Tests, Middle School Students, Mathematical Concepts