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

Aktuelle Tendenzen / Current Trends


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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Construction and validation of a C-Test in Persian


Purya Baghaei*

In this study a five-item Persian C-Test is developed and administered to a sample of Iranian junior and senior high school students aged 12–17. Rasch analysis revealed perfect fit of the data to the model which supported unidimensionality of the C-Test. Principal component analysis of standardized residuals also confirmed the unidimensionality of the instrument. Classical analyses such as Cronbach’s alpha reliability, inter item correlation indices and corrected item-total correlations also corroborated the homogeneity of the construct measured by the C-Test and satisfactory discrimination power of the items. Item-person map and thresholds map indicated that the test is only capable of distinguishing among lower-ability test-takers and cannot separate higher-ability test-takers. This finding was confirmed by one-way analysis of variance.

1. Introduction

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