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| Autoren | Petersen, Lara Aylin; 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 1 for four-year old children. |
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| URL | https://doi.org/10.5157/NEPS:SP45:1.0 |
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| Erscheinungsjahr | 2018 |
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| Seitenzahl | 25 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 |
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| Sprache | englisch |
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| Forschungsschwerpunkt | Bildungspanel (NEPS) |
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| Schlagwörter | Evaluation; Kompetenzmessung; Item-Response-Theorie; Itemanalyse; Kind; Kleinkind; Mathematik; Mathematische Kompetenz; Analyse; Qualitätssicherung; NEPS (National Educational Panel Study) |
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| Abstract | The National Educational Panel Study (NEPS) examines the development of competencies across the life span and develops 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 procedures for a mathematical competence test that was administered in wave 5 (four year old children) of starting cohort 1 (newborns). 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 consists of 20 items which represent different content areas as well as different cognitive components and use different response formats. The test was administered to 2,138 four-year old children. A partial-credit model was used for scaling the data. Item fit statistics and differential item functioning were evaluated to ensure the quality of the test. These 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 five content areas are 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. This paper describes the data available in the scientific use file and provides ConQuest-Syntax for scaling the data. (Orig.). |
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| Förderkennzeichen | 01GJ0888 |
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