1. An algorithm for analyzing cloze test results
- Author
-
Jonathan Grainger, Stéphanie Massol, Jonathan Mirault, Institute of Language, Communication and the Brain (ILCB), Aix Marseille Université (AMU)-Centre National de la Recherche Scientifique (CNRS), and Laboratoire de psychologie cognitive (LPC)
- Subjects
Sentence comprehension ,Cloze test ,Observer (quantum physics) ,Computer science ,05 social sciences ,General Engineering ,Word identification ,050105 experimental psychology ,Spelling ,BF1-990 ,Test (assessment) ,[SCCO]Cognitive science ,03 medical and health sciences ,0302 clinical medicine ,Cloze test Sentence comprehension Word identification ,Data analysis ,Psychology ,0501 psychology and cognitive sciences ,Algorithm ,Typographical error ,030217 neurology & neurosurgery ,Word (computer architecture) ,Coding (social sciences) - Abstract
International audience; We present an algorithm for the automatic processing of cloze test results that are traditionally analyzed and adjusted by hand. The algorithm accurately includes inflected and derived forms of the target word as correct responses, as well as minor spelling mistakes and typographical errors. We provide a test of the algorithm against the coding of one expert human observer and find that the algorithm performs with equal accuracy. We further examine the utility of the algorithm for the analysis of data involving word identification with typed responses. The routines are implemented in R-software and are freely available.
- Published
- 2021
- Full Text
- View/download PDF