Online Archive of University of Virginia Scholarship
An Explanatory Item Response Model Approach for Studying Latent Growth in Alphabet Knowledge783 views
Author
Wei, Xiaoxin, Education - Curry School of Education, University of Virginia
Advisors
Meyer, Patrick, Cu-Leadshp Fndns & Pol Studies, University of Virginia
Konold, Tim, Cu-Leadshp Fndns & Pol Studies, University of Virginia
Invernizzi, Marcia, Cu-Curr Instr & Sp Ed, University of Virginia
Ryoo, Ji Hoon, Cu-Leadshp Fndns & Pol Studies, University of Virginia
Abstract
This study reviews growth modeling techniques, and then focused specifically on the use of explanatory item response models for studying growth while accounting for lack of time-invariance among item properties. Using this framework, results suggested there was a significant amount of growth in kindergarteners’ alphabet knowledge from fall to spring of a school year. Individual differences in latent ability and growth were large initially, but became considerably smaller by the end of the year. The difficulty of different item properties influenced examinee’s responses and the person properties have significant impact on the amount of latent growth. Implications were discussed from both substantive and methodological perspectives.
Degree
PHD (Doctor of Philosophy)
Keywords
growth; explanatory item response model; lack of invariance; alphabet recognition; letter sounds
Rights
All rights reserved (no additional license for public reuse)
Wei, Xiaoxin. An Explanatory Item Response Model Approach for Studying Latent Growth in Alphabet Knowledge. University of Virginia, Education - Curry School of Education, PHD (Doctor of Philosophy), 2015-06-04, https://doi.org/10.18130/V3Q843.
