Review, computation and application of the Additive Factor Model (AFM)

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DOIResolve DOI: http://doi.org/10.4224/23002483
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TypeTechnical Report
Physical description23 p.
AbstractRoughly a decade ago appeared the Additive Factor Model (AFM), a cognitive diagnostic model that was subsequently implemented by PSLC-Datashop and successfully used by researchers since then. While powerful, this model is not always simple to apprehend for a novice user. This paper aims at addressing this concern, by sharing our understanding of the model and the way we implemented it while conducting research on Q-matrices evaluation. Situating AFM as a member of the multidimensional Item Response Theory models, this paper provides readers with several considerations regarding the behavior of the model and the meaning of its parameters, as well as details on the technical implementation. Finally a use case is presented showing how the model can be used to monitor, understand and improve learning.
Publication date
PublisherNational Research Council Canada. Digital Technologies
LanguageEnglish
AffiliationDigital Technologies; National Research Council Canada
Peer reviewedNo
NPARC number23002483
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Record identifier884836b6-a64f-413a-bd7d-15a8cafc838f
Record created2017-11-16
Record modified2017-11-20
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