Literaturnachweis - Detailanzeige
Autor/inn/en | Senkbeil, Martin; Ihme, Jan Marten |
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Institution | Leibniz-Institut für Bildungsverläufe |
Titel | NEPS technical report for computer literacy. Scaling results of starting cohort 4 for grade 12. |
Quelle | Bamberg: LIfBi Leibniz-Institut für Bildungsverläufe (2017), 35 S.
PDF als Volltext |
Reihe | NEPS Survey paper. 25 |
Beigaben | Literaturangaben |
Sprache | englisch |
Dokumenttyp | online; Monographie; Graue Literatur |
Schlagwörter | Rasch-Modell; Evaluation; Skalierung; Testvalidität; Kompetenzerwerb; Computernutzung; Schuljahr 12; Computerkenntnisse; Softwaretechnologie; Rasch Analysis; Kompetenzentwicklung; NEPS (National Educational Panel Study) |
Abstract | The National Educational Panel Study (NEPS) investigates the development of competencies across the life span and develops tests for the assessment of different competence domains. In order to evaluate the quality of the competence tests, a range of analyses based on item response theory (IRT) were performed. This paper describes the data and scaling procedures for the computer literacy test in grade 12 of starting cohort 4 (ninth grade). The computer literacy test contained 32 items with different response formats representing different cognitive requirements and different content areas. The test was administered to 5,762 students. Their responses were scaled using the partial credit model. Item fit statistics, differential item functioning, Rasch-homogeneity, the test's dimensionality, and local item independence were evaluated to ensure the quality of the test. These analyses showed that the test exhibited an acceptable reliability and that all items but one 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 computer literacy as well as the large percentage of items at the end of the test that were not reached due to time limits. Further challenges related to the dimensionality analyses based on both software applications and cognitive requirements. Overall, the computer literacy test had acceptable psychometric properties that allowed for a reliable estimation of computer competence scores. Besides the scaling results, this paper also describes the data available in the scientific use file and presents the ConQuest-syntax for scaling the data (Orig.). |
Erfasst von | DIPF | Leibniz-Institut für Bildungsforschung und Bildungsinformation, Frankfurt am Main |
Update | 2020/2 |