ASYMPTOTIC LIMITS OF ITEM PARAMETERS IN JOINT MAXIMUM‐LIKELIHOOD ESTIMATION FOR THE RASCH MODEL | Zendy

Haberman Shelby J. | Zendy

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ASYMPTOTIC LIMITS OF ITEM PARAMETERS IN JOINT MAXIMUM‐LIKELIHOOD ESTIMATION FOR THE RASCH MODEL

Author(s) -

Haberman Shelby J.

Publication year - 2008

Publication title -

ets research report series

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.235

H-Index - 5

ISSN - 2330-8516

DOI - 10.1002/j.2333-8504.2008.tb02090.x

Subject(s) - rasch model , maximum likelihood , limit (mathematics) , computation , mathematics , joint (building) , maximum likelihood sequence estimation , estimation theory , statistics , item response theory , estimation , polytomous rasch model , psychometrics , algorithm , mathematical analysis , architectural engineering , management , engineering , economics

Techniques are developed for approximation and exact computation of the asymptotic limit of the item parameter estimates obtained by application of joint maximum‐likelihood estimation to the Rasch model.

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