Integration of Historical Data for the Analysis of Multiple Assessment Studies

Autor/in	Marcoulides, Katerina M.
Titel	Integration of Historical Data for the Analysis of Multiple Assessment Studies
Quelle	In: Measurement: Interdisciplinary Research and Perspectives, 21 (2023) 3, S.181-193 (13 Seiten)Infoseite zur Zeitschrift PDF als Volltext Verfügbarkeit
Zusatzinformation	ORCID (Marcoulides, Katerina M.)
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	1536-6367
DOI	10.1080/15366367.2022.2115250
Schlagwörter	Data Analysis; Synthesis; Test Items; Simulation; Psychometrics + Suchen Sie Ihr Suchwort? Auswertung; Test content; Testaufgabe; Simulation program; Simulationsprogramm; Psychometry; Psychometrie
Abstract	Integrative data analyses have recently been shown to be an effective tool for researchers interested in synthesizing datasets from multiple studies in order to draw statistical or substantive conclusions. The actual process of integrating the different datasets depends on the availability of some common measures or items reflecting the same studied constructs. However, exactly how many common items are needed to effectively integrate multiple datasets has to date not been determined. This study evaluated the effect of using different numbers of common items in integrative data analysis applications. The study used simulations based on realistic data integration settings in which the number of common item sets was varied. The results provided insight concerning the optimal numbers of common items sets to safeguard estimation precision. The practical implications of these findings in view of past research in the psychometric literature concerning the necessary number of common item sets are also discussed. (As Provided).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2024/1/01