NEPS technical report for computer literacy. Scaling results of starting cohort 2 for grade 3.

Autor/inn/en	Ihme, Jan Marten; Senkbeil, Martin
Institution	Leibniz-Institut für Bildungsverläufe
Titel	NEPS technical report for computer literacy. Scaling results of starting cohort 2 for grade 3.
Quelle	Bamberg: Leibniz-Institut für Bildungsverläufe (2018), 26 S. PDF als Volltext kostenfreie Datei Link als defekt meldenVerfügbarkeit
Reihe	NEPS Survey paper. 42
Beigaben	Literaturangaben
Sprache	deutsch
Dokumenttyp	online; Monographie
DOI	10.5157/NEPS:SP42:1.0
Schlagwörter	Kompetenz; Rasch-Modell; Evaluation; Reliabilität; Kompetenzmessung; Test; Computernutzung; Kindergarten; Schüler; Computerkenntnisse; Datenanalyse; Daten; Qualitätssicherung; 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 3 of starting cohort 2 (kindergarten). The computer literacy test contained 30 items with M C response format representing different cognitive requirements and different content areas. The test was administered to 5,620 students. Their responses were scaled using the Rasch 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 fitted the model in a satisfactory way. Furthermore, test fairness could be confirmed for different subgroups. Limitations of the test were the low variance and 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	2021/2