Bi-Factor MIRT Observed-Score Equating for Mixed-Format Tests

Autor/inn/en	Lee, Guemin; Lee, Won-Chan
Titel	Bi-Factor MIRT Observed-Score Equating for Mixed-Format Tests
Quelle	In: Applied Measurement in Education, 29 (2016) 3, S.224-241 (18 Seiten)Infoseite zur Zeitschrift PDF als Volltext Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	0895-7347
DOI	10.1080/08957347.2016.1171770
Schlagwörter	Test Format; Multidimensional Scaling; Item Response Theory; Equated Scores; True Scores; Advanced Placement Programs; Matched Groups; Simulation; Data Analysis; Evaluation Criteria; Predictor Variables + Suchen Sie Ihr Suchwort? Testentwicklung; Mehrdimensionale Analysis; Item-Response-Theorie; Simulation program; Simulationsprogramm; Auswertung; Prädiktor
Abstract	The main purposes of this study were to develop bi-factor multidimensional item response theory (BF-MIRT) observed-score equating procedures for mixed-format tests and to investigate relative appropriateness of the proposed procedures. Using data from a large-scale testing program, three types of pseudo data sets were formulated: matched samples, pseudo forms, and simulated data sets. Very minor within-format residual dependence in mixed-format tests was found after controlling for the influence of the primary general factor. The unidimensional IRT and BF-MIRT equating methods produced similar equating results for the data used in this study. When a BF-MIRT model is implemented, we recommend the use of observed-score equating instead of true-score equating because the latter requires an arbitrary approximation or reduction process to relate true scores on test forms. (As Provided).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2020/1/01