What applying growthmixture modeling can tell us about predictors of number line estimation

URN to cite this document:: urn:nbn:de:bvb:355-epub-435425
DOI to cite this document:: 10.5283/epub.43542

DeVries, J. M. ; Kuhn, J.-T. ; Gebhardt, Markus

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Date of publication of this fulltext: 06 Aug 2020 13:06

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Abstract

Number line estimation tasks have been considered a good indicator of mathematical competency for many years and are traditionally analyzed by fitting individual regression curves to individual responders. We innovate on this technique by applying growth mixture modeling and compare it to traditional regression using a sample of 2nd graders (n = 325) who completed both 0–20 and 0–100 number line ...