Item Parameter Drift in a Time-Varying Predictor

Autor/in	Lee, HyeSun
Titel	Item Parameter Drift in a Time-Varying Predictor
Quelle	In: Applied Measurement in Education, 31 (2018) 1, S.51-67 (17 Seiten)Infoseite zur Zeitschrift PDF als Volltext Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	0895-7347
DOI	10.1080/08957347.2017.1391259
Schlagwörter	Test Items; Hierarchical Linear Modeling; Predictor Variables; Scores; Test Length; Test Bias; Computation; Error of Measurement; Elementary Secondary Education; Foreign Countries; International Assessment; Grade 8; Iran; Trends in International Mathematics and Science Study + Suchen Sie Ihr Suchwort? Test content; Testaufgabe; Prädiktor; Testkritik; Messfehler; Ausland; School year 08; 8. Schuljahr; Schuljahr 08
Abstract	The current simulation study examined the effects of Item Parameter Drift (IPD) occurring in a short scale on parameter estimates in multilevel models where scores from a scale were employed as a time-varying predictor to account for outcome scores. Five factors, including three decisions about IPD, were considered for simulation conditions. It was revealed that IPD occurring in a relatively shorter scale led to a substantial increase in the amount of relative bias in parameter estimates. The bias was more prominent in the estimates of level-2 time-varying predictors relative to those of level-1 time-varying predictors. Regarding the decisions about IPD, keeping items exhibiting IPD was more appropriate than removing them based on the results from relative bias of standard errors of estimates. Based on the findings, it can be concluded that removing items exhibiting IPD may lead to an increase of Type II errors due to the underestimation of parameter estimates and overestimation of standard errors. The applied example showed findings consistent with those in the simulation study. (As Provided).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2020/1/01