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Der C-Test: Aktuelle Tendenzen- The C-Test: Current Trends

Aktuelle Tendenzen / Current Trends


Edited By Rüdiger Grotjahn

C-Tests bestehen aus mehreren kurzen Texten, in denen fehlende Wortteile zu rekonstruieren sind. Sie haben hervorragende psychometrische Eigenschaften und werden in einer Vielzahl von Kontexten zur ökonomischen Messung von (allgemeiner) Sprachkompetenz eingesetzt. Dieser Band illustriert den aktuellen Stand der C-Test-Forschung. Der Fokus liegt auf Augenscheingültigkeit und Washback von C-Tests; C-Test-Leistung und Intelligenz; C-Tests als Screening-Instrumente für TestDaF und SIMTEST; ROC-Analysen zur Zuordnung von C-Test-Ergebnissen zu den Kompetenzstufen des GER; Verwendung von C-Tests im Unterricht. Eine Besonderheit des Bandes ist die umfassende C-Test-Bibliographie des Herausgebers.
C-Tests consist of several short texts in which the missing parts of words have to be reconstructed. C-Tests have excellent psychometric properties and are used in many contexts as economical tests of language proficiency. This collection of papers illustrates the state of the art of C-Test research. It focuses on face validity and washback of C-Tests, C-Test performance and intelligence, C-Tests as screening devices for TestDaF and SIMTEST, ROC analyses for relating C-Test scores to the CEFR as well as use of C-tests in the classroom. A special feature of the volume is the editor’s comprehensive C-Test bibliography.
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Do test takers with different language backgrounds take the same C-test? The effect of native language on the validity of C-tests


Monique Reichert, Martin Brunner & Romain Martin*

A great deal of research has empirically shown that test takers’ language background may affect the validity of language tests. Although C-Tests are widely used, this potential threat to their validity has not previously been thoroughly addressed. This study therefore rigorously examined the extent to which a German and a French C-Test developed for use in a large-scale study in Luxembourg measure a single latent trait – assumed to be general language proficiency – in an equivalent way across two language groups. Multi-group confirmatory factor modeling was used to test for measurement invariance across Luxembourgish- and German-speaking students as compared with students speaking a Romance language. It was hypothesized that, if the C-Tests measured a single construct in the same way across both language groups, then this construct would not only become apparent in both groups, but it would also affect the observed C-Test scores in the same way across the groups. In addition, cross-group differences in the means of the observed items would be attributable to differences in the means of the underlying construct. Finally, if the C-Tests were to be applied as high-stakes tests, then equivalence of the observed test variances (affected by the items’ residual variances) should also be given. The results supported the measurement invariance of the German C-Test. However, language background was found to have a stronger impact on the validity of the French C-Test. The results are discussed in terms of hypothesized differences in the...

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