Linking via Pseudo-Equivalent Group Design: Methodological Considerations and an Application to the PISA and PIACC Assessments

Autor/inn/en	Pokropek, Artur; Borgonovi, Francesca
Titel	Linking via Pseudo-Equivalent Group Design: Methodological Considerations and an Application to the PISA and PIACC Assessments
Quelle	In: Journal of Educational Measurement, 57 (2020) 4, S.527-546 (20 Seiten)Infoseite zur Zeitschrift PDF als Volltext Verfügbarkeit
Zusatzinformation	ORCID (Pokropek, Artur) ORCID (Borgonovi, Francesca)
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	0022-0655
DOI	10.1111/jedm.12261
Schlagwörter	Foreign Countries; Secondary School Students; Achievement Tests; International Assessment; Adults; Monte Carlo Methods; Groups; Correlation; Weighted Scores; Program for International Student Assessment; Program for the International Assessment of Adult Competencies (PIAAC) + Suchen Sie Ihr Suchwort? Ausland; Sekundarschüler; Achievement test; Achievement; Testing; Test; Tests; Leistungsbeurteilung; Leistungsüberprüfung; Leistung; Testdurchführung; Testen; Monte-Carlo-Methode; Korrelation
Abstract	This article presents the pseudo-equivalent group approach and discusses how it can enhance the quality of linking in the presence of nonequivalent groups. The pseudo-equivalent group approach allows to achieve pseudo-equivalence using propensity score reweighting techniques. We use it to perform linking to establish scale concordance between two assessments. The article presents Monte-Carlo simulations and a real data application based on data from the Survey of Adult Skills (PIAAC) and the Programme for International Student Assessment (PISA). Monte-Carlo simulations suggest that the pseudo-equivalent group design is particularly useful whenever there is a large overlap across the two groups with respect to balancing variables and when the correlation between such variables and ability is medium or high. The example based on PISA and PIAAC data indicates that the approach can provide reasonable accurate linking that can be used for group-level comparisons. (As Provided).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2024/1/01