NotesFAQContact Us
Collection
Advanced
Search Tips
Publication Date
In 20250
Since 20240
Since 2021 (last 5 years)0
Since 2016 (last 10 years)0
Since 2006 (last 20 years)1
Author
Samejima, Fumiko5
Education Level
Audience
Location
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Showing all 5 results Save | Export
Peer reviewed Peer reviewed
Direct linkDirect link
Samejima, Fumiko – Psychometrika, 2008
Samejima ("Psychometrika "65:319--335, 2000) proposed the logistic positive exponent family of models (LPEF) for dichotomous responses in the unidimensional latent space. The objective of the present paper is to propose and discuss a graded response model that is expanded from the LPEF, in the context of item response theory (IRT). This…
Descriptors: Psychological Testing, Item Response Theory, Psychometrics, Educational Testing
Peer reviewed Peer reviewed
Samejima, Fumiko – Psychometrika, 1997
As examples of models that are not based on normality or its approximation, the logistic positive exponent family of models is discussed. These models include the item task complexity as the third parameter, which determines the single principle of ordering individuals on the ability scale. (SLD)
Descriptors: Ability, Item Response Theory, Mathematical Models, Psychometrics
Peer reviewed Peer reviewed
Samejima, Fumiko – Psychometrika, 2000
Discusses whether the tradition of accepting point-symmetric item characteristic curves is justified by uncovering the inconsistent relationship between the difficulties of items and the order of maximum likelihood estimates of ability. In this context, proposes a family of models, called the logistic positive exponent family, that provides…
Descriptors: Ability, Estimation (Mathematics), Item Response Theory, Mathematical Models
Peer reviewed Peer reviewed
Samejima, Fumiko – Psychometrika, 1993
F. Samejima's approximation for the bias function for the maximum likelihood estimate of the latent trait in the general case where item responses are discrete is explored. Observations are made about the behavior of this bias function for the dichotomous response level in general. Empirical examples are given. (SLD)
Descriptors: Ability, Equations (Mathematics), Estimation (Mathematics), Graphs
Peer reviewed Peer reviewed
Samejima, Fumiko – Psychometrika, 1993
An approximation for the bias function of the maximum likelihood estimate of the latent trait or ability is developed for the general case where item responses are discrete, which includes the dichotomous response level, the graded response level, and the nominal response level. (SLD)
Descriptors: Ability, Equations (Mathematics), Estimation (Mathematics), Item Response Theory