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Statements

Subject Item
n2:RIV%2F61989100%3A27510%2F13%3A86087394%21RIV14-MSM-27510___
rdf:type
n14:Vysledek skos:Concept
dcterms:description
Response patterns from test, questionnaires, or other kind of evaluation instruments can give important information about latent variables which cannot be directly observed, such as the “ability” of the respondent individuals. The study of similarity between response patterns leads to a classification of the respondents that can explain the latent variable under a new perspective. There are several known similarity measures, mostly developed in fields such as the bibliometric and scientometric research, which are based on co-occurrences between “objects”, and satisfy certain properties which unfortunately don’t suit to our problem. Taking inspiration from these measures, we propose a class of similarity measures for response patterns on dichotomously scored items. This study is meant as an example of applying these measures within the item response theory framework, and as a critical assessment of the usefulness of this approach. Our method focuses on the position of respondents in the multidimensional space spanned by the aggregated subject-subject co-occurrences. A number of choices/parameters can be left to the user, but we provide default options reflecting our preferences. Response patterns from test, questionnaires, or other kind of evaluation instruments can give important information about latent variables which cannot be directly observed, such as the “ability” of the respondent individuals. The study of similarity between response patterns leads to a classification of the respondents that can explain the latent variable under a new perspective. There are several known similarity measures, mostly developed in fields such as the bibliometric and scientometric research, which are based on co-occurrences between “objects”, and satisfy certain properties which unfortunately don’t suit to our problem. Taking inspiration from these measures, we propose a class of similarity measures for response patterns on dichotomously scored items. This study is meant as an example of applying these measures within the item response theory framework, and as a critical assessment of the usefulness of this approach. Our method focuses on the position of respondents in the multidimensional space spanned by the aggregated subject-subject co-occurrences. A number of choices/parameters can be left to the user, but we provide default options reflecting our preferences.
dcterms:title
Similarity measures for response patterns on dichotomously scored items Similarity measures for response patterns on dichotomously scored items
skos:prefLabel
Similarity measures for response patterns on dichotomously scored items Similarity measures for response patterns on dichotomously scored items
skos:notation
RIV/61989100:27510/13:86087394!RIV14-MSM-27510___
n14:predkladatel
n15:orjk%3A27510
n3:aktivita
n12:P
n3:aktivity
P(EE2.3.30.0016)
n3:dodaniDat
n13:2014
n3:domaciTvurceVysledku
Lando, Tommaso
n3:druhVysledku
n6:D
n3:duvernostUdaju
n18:S
n3:entitaPredkladatele
n19:predkladatel
n3:idSjednocenehoVysledku
105107
n3:idVysledku
RIV/61989100:27510/13:86087394
n3:jazykVysledku
n9:eng
n3:klicovaSlova
Rasch model; map; similarity
n3:klicoveSlovo
n11:similarity n11:map n11:Rasch%20model
n3:kontrolniKodProRIV
[E4956DF178DD]
n3:mistoKonaniAkce
Jihlava
n3:mistoVydani
Jihlava
n3:nazevZdroje
Mathematical Methods in Economics 2013 : 31st international conference : 11-13 September 2013, Jihlava, Czech Republic
n3:obor
n5:AH
n3:pocetDomacichTvurcuVysledku
1
n3:pocetTvurcuVysledku
2
n3:projekt
n20:EE2.3.30.0016
n3:rokUplatneniVysledku
n13:2013
n3:tvurceVysledku
Lando, Tommaso Bertoli-Barsotti, Lucio
n3:typAkce
n4:WRD
n3:zahajeniAkce
2013-09-11+02:00
s:numberOfPages
6
n8:hasPublisher
College of Polytechnics Jihlava
n21:isbn
978-80-87035-76-4
n17:organizacniJednotka
27510