NEPS technical report for mathematics. Scaling results of starting cohort 3 in grade 7.

Autor/inn/en	Schnittjer, Insa; Gerken, Anna-Lena
Institution	Leibniz-Institut für Bildungsverläufe
Titel	NEPS technical report for mathematics. Scaling results of starting cohort 3 in grade 7.
Quelle	Bamberg: LIfBi Leibniz-Institut für Bildungsverläufe (2017), 28 S. PDF als Volltext kostenfreie Datei Link als defekt meldenVerfügbarkeit
Reihe	NEPS Survey paper. 16
Beigaben	Literaturangaben
Sprache	englisch
Dokumenttyp	online; Monographie; Graue Literatur
Schlagwörter	Rasch-Modell; Antwortverhalten; Evaluation; Kompetenzerwerb; Testverfahren; Schuljahr 07; Mathematische Kompetenz; Rasch Analysis; Qualitätskontrolle; Kompetenzentwicklung; NEPS (National Educational Panel Study)
Abstract	The National Educational Panel Study (NEPS) aims at investigating the development of competencies across the whole life span and designs tests for assessing these different competence domains. In order to evaluate the quality of the competence tests, a wide range of analyses based on item response theory (IRT) were performed. This paper describes the data and scaling procedure for the mathematical competence test in grade 7 of starting cohort 3 (fifth grade). The mathematics test contained 23 items with different response formats representing different content areas and cognitive components. The test was administered to 6,194 students. Their responses were scaled using the partial credit model. Item fit statistics, differential item functioning, Rasch-homogeneity, and the test's dimensionality were evaluated to ensure the quality of the test. These analyses showed that the test exhibited an acceptable reliability good item fit and that the items fitted the model in a satisfactory way. Furthermore, test fairness could be confirmed for different subgroups. Limitations of the test were the large number of items targeted toward a lower mathematical ability as well as the relatively high omission rates in some items. Overall, the mathematics test had acceptable psychometric properties that allowed for an estimation of reliable mathematics competence scores. Besides the scaling results, this paper also describes the data available in the Scientific Use File and provides the ConQuest syntax for scaling the data (Orig.).
Erfasst von	DIPF \| Leibniz-Institut für Bildungsforschung und Bildungsinformation, Frankfurt am Main
Update	2020/2