Literaturnachweis - Detailanzeige
Autor/in | Gnambs, Timo |
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Institution | Leibniz-Institut für Bildungsverläufe |
Titel | NEPS technical report for english reading competence. Scaling results of starting cohort 4 for grade 10. |
Quelle | Bamberg: LIfBi Leibniz-Institut für Bildungsverläufe (2017), 26 S.
PDF als Volltext |
Reihe | NEPS Survey paper. 26 |
Beigaben | Literaturangaben |
Sprache | englisch |
Dokumenttyp | online; Monographie; Graue Literatur |
Schlagwörter | Kompetenz; Quantitative Analyse; Kompetenzerwerb; Itemanalyse; Testverfahren; Schuljahr 10; Schülerleistung; Sprachkompetenz; Fremdsprache; Englisch; Lesekompetenz; Leistungsmessung; NEPS (National Educational Panel Study) |
Abstract | The National Educational Panel Study (NEPS) investigates the development of competencies across the life span. Therefore, the NEPS develops tests for the assessment of various competence domains in different age cohorts. In order to evaluate the quality of these competence tests, several analyses based on item response theory (IRT) are performed. This paper describes the data and scaling procedures for a reading competence test on English as a foreign language in grade 10 of starting cohort 4(ninth grade). The reading competence test included 13 items (distributed among three booklets) with multiple choice response formats and matching tasks that represented different levels of the Common European Framework of References. The test was administered to 10,886 students(51% girls). Their responses were scaled using a partial credit model. Item fit statistics and differential item functioning were evaluated to ensure the quality of the test. These analyses showed that the test exhibited an acceptable reliability and a satisfactory fit to the Rasch model. Furthermore, test fairness could be confirmed for different subgroups. Limitations of the test pertained to its difficulty that that did not adequately cover the upper range of the ability distribution. Overall, the English reading test had acceptable psychometric properties that allowed for an estimation of reliable competence scores. Besides the scaling results, this paper also describes the data available in the scientific use file and presents the R syntax for scaling the data (Orig.). |
Erfasst von | DIPF | Leibniz-Institut für Bildungsforschung und Bildungsinformation, Frankfurt am Main |
Update | 2020/2 |