Comparing Data Treatments on Item-Level Nonresponse and Their Effects on Data Analysis of Large-Scale Assessments: 2009 PISA Study. Research Report. ETS RR-15-12

Autor/inn/en	Chen, Haiwen H.; von Davier, Matthias; Yamamoto, Kentaro; Kong, Nan
Titel	Comparing Data Treatments on Item-Level Nonresponse and Their Effects on Data Analysis of Large-Scale Assessments: 2009 PISA Study. Research Report. ETS RR-15-12
Quelle	In: ETS Research Report Series, (2015), (18 Seiten)Infoseite zur Zeitschrift PDF als Volltext kostenfreie Datei Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	2330-8516
Schlagwörter	Quantitative Daten; Achievement Tests; Foreign Countries; International Assessment; Secondary School Students; Educational Assessment; Item Response Theory; Accuracy; Test Items; Scoring; Data Analysis; Test Construction; Testing Problems; Comparative Analysis; Multiple Choice Tests; Program for International Student Assessment + Suchen Sie Ihr Suchwort? Achievement test; Achievement; Testing; Test; Tests; Leistungsbeurteilung; Leistungsüberprüfung; Leistung; Testdurchführung; Testen; Ausland; Sekundarschüler; Education; assessment; Bewertungssystem; Item-Response-Theorie; Test content; Testaufgabe; Bewertung; Auswertung; Testaufbau; Multiple choice examinations; Multiple-choice tests, Multiple-choice examinations; Multiple-Choice-Verfahren
Abstract	One major issue with large-scale assessments is that the respondents might give no responses to many items, resulting in less accurate estimations of both assessed abilities and item parameters. This report studies how the types of items affect the item-level nonresponse rates and how different methods of treating item-level nonresponses have an effect on item calibration and scoring. (As Provided).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2020/1/01