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From psychometric research to implementation and back: selected examples
Magis, David
2015International Workshop on Psychometric Computing
 

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Keywords :
Psychometrics; Computing; Ability estimation; Information function
Abstract :
[en] Current psychometric research is most often supported by computer software. New research perspectives often imply intensive simulation studies to validate the tested theories or hypotheses, and therefore require accurate implementation as e.g., R packages. However, it may happen that unexpected psychometric phenomena are detected almost accidentally, through such implementations with basically totally different purposes. This talk will illustrate this phenomenon by means of two recent examples from item response theory (IRT) with polytomous models: (a) the equivalence between the weighted likelihood estimator (WLE) and the Bayes modal estimator with Jeffreys prior, and (b) the relationships between observed and expected information functions. Rather than focusing on the technical details, the purpose of this talk is to highlight how the results were identified first through R implementation, then confirmed by theoretical derivations. The talk concludes by advocating for flexible and stable open-source implementations (such as R packages) to support current and ongoing psychometric research.
Disciplines :
Education & instruction
Author, co-author :
Magis, David ;  Université de Liège - ULiège > Département Education et formation > Psychométrie et édumétrie
Language :
English
Title :
From psychometric research to implementation and back: selected examples
Publication date :
13 February 2015
Event name :
International Workshop on Psychometric Computing
Event organizer :
University of Amsterdam
Event place :
Amsterdam, Netherlands
Event date :
12-13 février 2015
Audience :
International
Available on ORBi :
since 11 February 2015

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