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| Autoren | Schnittjer, Insa; Fischer, Luise |
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| Institution | Leibniz-Institut für Bildungsverläufe |
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| Titel | NEPS technical report for mathematics. Scaling results of starting cohort 2 for grade 1. |
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| URL | https://doi.org/10.5157/NEPS:SP46:1.0 |
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| Erscheinungsjahr | 2018 |
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| Seitenzahl | 33 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 | Rasch-Modell; Reliabilität; Testreliabilität; Test; Kind; 1. Schuljahr; Mathematik; Mathematische Kompetenz; Qualitätssicherung; NEPS (National Educational Panel Study) |
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| Abstract | The National Educational Panel Study (NEPS) aims at investigating the development of competences 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 and scaling procedure for the mathematical competence test in grade 1 of starting cohort 2 (kindergarten). The mathematics test contained 22 items with different response formats representing different content areas as well as cognitive components while using different response formats. The test was administered to 6,510 children in first grade. 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. As the correlations between the five content areas were very high in a multidimensional model, the assumption of unidimensionality seems adequate. Overall, the results revealed good psychometric properties of the mathematics test, thus supporting the estimation of a reliable mathematics competence score. Besides the scaling results, this paper also 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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