A Derivation of the Polytomous Rasch Model Based on the Most Probable Distribution Method. (17th November 2014)
- Record Type:
- Journal Article
- Title:
- A Derivation of the Polytomous Rasch Model Based on the Most Probable Distribution Method. (17th November 2014)
- Main Title:
- A Derivation of the Polytomous Rasch Model Based on the Most Probable Distribution Method
- Authors:
- Noventa, Stefano
Stefanutti, Luca
Vidotto, Giulio - Abstract:
- <abstract abstract-type="normal"> <title>Abstract</title> <p>Boltzmann’s most probable distribution method is applied to derive the Polytomous Rasch model as the distribution accounting for the maximum number of possible outcomes in a test while introducing latent traits, item characteristics, and thresholds as constraints to the system. Affinities and similarities of the present result with other derivations of the model are discussed in light of the conceptual frameworks of statistical physics and of the principle of maximum entropy.</p> </abstract>
- Is Part Of:
- Spanish journal of psychology. Volume 17(2014)
- Journal:
- Spanish journal of psychology
- Issue:
- Volume 17(2014)
- Issue Display:
- Volume 17, Issue 2014 (2014)
- Year:
- 2014
- Volume:
- 17
- Issue:
- 2014
- Issue Sort Value:
- 2014-0017-2014-0000
- Page Start:
- 561
- Page End:
- 573
- Publication Date:
- 2014-11-17
- Subjects:
- Psychology -- Periodicals
150 - Journal URLs:
- http://journals.cambridge.org/action/displayJournal?jid=SJP ↗
http://rzblx1.uni-regensburg.de/ezeit/warpto.phtml?colors=7&jour%5Fid=19790 ↗ - DOI:
- 10.1017/sjp.2014.81 ↗
- Languages:
- English
- ISSNs:
- 1138-7416
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library HMNTS - ELD Digital store
- Ingest File:
- 2974.xml