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| Autoren | Ham, Ann-Katrin van den; Schnittjer, Insa; Gerken, Anna-Lena |
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| Institution | Leibniz-Institut für Bildungsverläufe |
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| Titel | NEPS technical report for mathematics. Scaling results of starting cohort 3 in Grade 9. |
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| URL | https://doi.org/10.5157/NEPS:SP38:1.0 |
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| Erscheinungsjahr | 2018 |
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| Seitenzahl | 37 S. |
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| Verlag | Bamberg: Leibniz-Institut für Bildungsverläufe |
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| Dokumenttyp | Monographie; online |
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| Beigaben | Literaturangaben; Abbildungen; Tabellen; Anhang |
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| Sprache | englisch |
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| Forschungsschwerpunkt | Bildungspanel (NEPS) |
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| Schlagwörter | Kompetenz; Rasch-Modell; Skalierung; Testreliabilität; Varianzanalyse; Item-Response-Theorie; Testauswertung; Schule; 9. Schuljahr; Schüler; Mathematik; NEPS (National Educational Panel Study) |
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| 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) have been performed. This paper describes the data on mathematical competence for starting cohort 3 - ninth grade. The descriptive statistics for the data, the scaling model applied to estimate competence scores, and analyses performed to investigate the quality of the scale as well as the results of these analyses are explained. The mathematics test for grade nine consists of 34 items which represent different content areas as well as different cognitive components and use different response formats. The test was administered to 4,890 participants in grade nine. A partial-credit model was used for scaling the data. Item fit statistics, differential item functioning, Rasch-homogeneity, and the test´s dimensionality were evaluated to ensure the quality of the test. The results show that the items exhibited good item fit and measurement invariance across various subgroups. Moreover, the test shows a good reliability. As the correlations between the four content areas are very high in a multidimensional model, the assumption of unidimensionality seems adequate. Among the challenges of this test is the lack of very difficult items. Overall, the results revealed good psychometric properties of the mathematics test, thus supporting the estimation of a reliable mathematics competence score. This paper describes the data available in the Scientific Use File and provides ConQuest-Syntax for scaling the data - including the necessary item parameters. (Orig.). |
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| Förderkennzeichen | 01GJ0888 |
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