Literature DB >> 14757991

The effect of sample size for estimating Rasch/IRT parameters with dichotomous items.

Mark Stone1, Futoshi Yumoto.   

Abstract

Thirteen samples were randomly drawn from the normative database for the latest edition of Knox's Cube Test-Revised (KCT-R). Parameter estimates for the Rasch model and two and three parameter logistic models were derived and compared. Sample size influenced these estimates as might be expected. Rasch parameter estimates consistently showed the smallest values by sample size using a goodness of fit index.

Mesh:

Year:  2004        PMID: 14757991

Source DB:  PubMed          Journal:  J Appl Meas        ISSN: 1529-7713


  6 in total

1.  Deriving utility scores from the SF-36 health instrument using Rasch analysis.

Authors:  Graeme Hawthorne; Konstancja Densley; Julie F Pallant; Duncan Mortimer; Leonie Segal
Journal:  Qual Life Res       Date:  2008-09-30       Impact factor: 4.147

Review 2.  A review of empirical research related to the use of small quantitative samples in clinical outcome scale development.

Authors:  Carrie R Houts; Michael C Edwards; R J Wirth; Linda S Deal
Journal:  Qual Life Res       Date:  2016-07-13       Impact factor: 4.147

3.  An Optimized Bayesian Hierarchical Two-Parameter Logistic Model for Small-Sample Item Calibration.

Authors:  Christoph König; Christian Spoden; Andreas Frey
Journal:  Appl Psychol Meas       Date:  2019-12-21

4.  Advances in applications of item response theory to clinical assessment.

Authors:  Michael L Thomas
Journal:  Psychol Assess       Date:  2019-03-14

5.  Is less more? A preliminary investigation of the number of response categories in self-reported pain.

Authors:  Karon F Cook; David Cella; Erin L Boespflug; Dagmar Amtmann
Journal:  Patient Relat Outcome Meas       Date:  2010-05

6.  A Rasch and factor analysis of the Functional Assessment of Cancer Therapy-General (FACT-G).

Authors:  Adam B Smith; Penny Wright; Peter J Selby; Galina Velikova
Journal:  Health Qual Life Outcomes       Date:  2007-04-20       Impact factor: 3.186

  6 in total

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