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Download full textQian, Jiahe – ETS Research Report Series, 2018
The 2-parameter logistic multidimensional item response theory (MIRT) model was employed to model growth for the National Education Longitudinal Study of 1988 (NELS:88). The 3 measurement waves of NELS:88 (base year, first follow-up, and second follow-up) represented 3 dimensions.The inquiry aimed to improve modeling performance growth based on…
Descriptors: Growth Models, Longitudinal Studies, Item Response Theory, National Surveys
Wei, Youhua; Morgan, Rick – ETS Research Report Series, 2016
As an alternative to common-item equating when common items do not function as expected, the single-group growth model (SGGM) scaling uses common examinees or repeaters to link test scores on different forms. The SGGM scaling assumes that, for repeaters taking adjacent administrations, the conditional distribution of scale scores in later…
Descriptors: Equated Scores, Growth Models, Scaling, Computation
Almond, Russell G.; Sinharay, Sandip – ETS Research Report Series, 2012
To answer questions about how students' proficiencies are changing over time, educational researchers are looking for data sources that span many years. Clearly, for answering questions about student growth, a longitudinal study--in which a single sample is followed over many years--is preferable to repeated cross-sectional samples--in which a…
Descriptors: Educational Research, Case Studies, Research Methodology, Literature Reviews
Braun, Henry; Qu, Yanxuan – ETS Research Report Series, 2008
This paper reports on a study conducted to investigate the consistency of the results between 2 approaches to estimating school effectiveness through value-added modeling. Estimates of school effects from the layered model employing item response theory (IRT) scaled data are compared to estimates derived from a discrete growth model based on the…
Descriptors: Value Added Models, School Effectiveness, Robustness (Statistics), Computation
von Davier, Alina A.; Carstensen, Claus H.; von Davier, Matthias – ETS Research Report Series, 2006
Measuring and linking competencies require special instruments, special data collection designs, and special statistical models. The measurement instruments are tests or tests forms, which can be used in the following situations: The same test can be given repeatedly; two or more parallel tests forms (i.e., forms intended to be similar in…
Descriptors: Scores, Measurement Techniques, Competence, Comparative Analysis
