A Bayesian many-facet Rasch model with Markov modeling for rater severity drift
- Standort
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Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
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1554-3528
- Umfang
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Online-Ressource
- Sprache
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Englisch
- Anmerkungen
-
online resource.
- Erschienen in
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A Bayesian many-facet Rasch model with Markov modeling for rater severity drift ; day:25 ; month:10 ; year:2022 ; pages:1-19
Behavior research methods ; (25.10.2022), 1-19
- Urheber
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Uto, Masaki
- Beteiligte Personen und Organisationen
-
SpringerLink (Online service)
- DOI
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10.3758/s13428-022-01997-z
- URN
-
urn:nbn:de:101:1-2023011021052171661088
- Rechteinformation
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
15.08.2025, 07:36 MESZ
Datenpartner
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Beteiligte
- Uto, Masaki
- SpringerLink (Online service)
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