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Author(s): Goldhammer, Frank; Zehner, Fabian
Title: What to make of and how to interpret process data
In: Measurement: Interdisciplinary Research and Perspectives, 15 (2017) 3/4, S. 128-132
DOI: 10.1080/15366367.2017.1411651
URN: urn:nbn:de:0111-dipfdocs-192082
URL: http://www.dipfdocs.de/volltexte/2020/19208/pdf/Measurement_2017_3-4_Goldhammer_Zehner_What_to_make_of_and_how_to_interpret_process_data_A.pdf
Publication Type: 3a. Beiträge in begutachteten Zeitschriften; Aufsatz (keine besondere Kategorie)
Language: Englisch
Keywords: Technologiebasiertes Testen; Kognitive Kompetenz; Testdurchführung; Kognitive Prozesse; Datenanalyse; Indikator; Interpretation; Validität
Abstract (english): Maddox (2017) argues that respondents' talk and gesture during an assessment inform researchers how a response product has evolved. Indeed, how a task is performed represents key information for psychological and educational assessment. [...] Recently, process data has increasingly gained attention in cognitive ability testing given the digitalization of measurement and the possibility of exploiting log file data. [...] As shown by Maddox for large-scale assessments, even talk and gesture can be regarded as useful process data. In this case, the process data is not only video-recorded but also observed by the interviewer in situ; the interviewer interactively uses it to influence the test-taking process and to reduce construct-irrelevant variance. Thus, like product data (e.g., scores), process data is used to draw inferences. We argue in the following that the interpretation and use of process data and derived indicators require validation, just as product data do (Kane, 2013). This theoretical background, including some examples about log file data, sets the ground for our comments on Maddox's use of "talk and gesture as process data." (DIPF/Orig.)
DIPF-Departments: Bildungsqualität und Evaluation