242 related articles for article (PubMed ID: 9661731)
21. Detecting differential item functioning with five standardized item-fit indices in the Rasch model.
Seol H
J Outcome Meas; 1999; 3(3):233-47. PubMed ID: 10431491
[TBL] [Abstract][Full Text] [Related]
22. Pseudolikelihood estimation of the Rasch model.
Smit A; Kelderman H
J Outcome Meas; 2000; 4(1):513-23. PubMed ID: 11272599
[TBL] [Abstract][Full Text] [Related]
23. Utilizing Rasch measurement models to develop a computer adaptive self-report of walking, climbing, and running.
Velozo CA; Wang Y; Lehman L; Wang JH
Disabil Rehabil; 2008; 30(6):458-67. PubMed ID: 18297500
[TBL] [Abstract][Full Text] [Related]
24. An eigenvector method for estimating item parameters of the dichotomous and polytomous Rasch models.
Garner M
J Appl Meas; 2002; 3(2):107-28. PubMed ID: 12011497
[TBL] [Abstract][Full Text] [Related]
25. The construction and implementation of user-defined fit tests for use with marginal maximum likelihood estimation and generalized item response models.
Adams RJ; Wu ML
J Appl Meas; 2009; 10(4):355-70. PubMed ID: 19934525
[TBL] [Abstract][Full Text] [Related]
26. A confirmatory study of Rasch-based optimal categorization of a rating scale.
Zhu W
J Appl Meas; 2002; 3(1):1-15. PubMed ID: 11997582
[TBL] [Abstract][Full Text] [Related]
27. A longitudinal evaluation of the Center for Epidemiologic Studies-Depression scale (CES-D) in a rheumatoid arthritis population using Rasch analysis.
Covic T; Pallant JF; Conaghan PG; Tennant A
Health Qual Life Outcomes; 2007 Jul; 5():41. PubMed ID: 17629902
[TBL] [Abstract][Full Text] [Related]
28. Using item mean squares to evaluate fit to the Rasch model.
Smith RM; Schumacker RE; Bush MJ
J Outcome Meas; 1998; 2(1):66-78. PubMed ID: 9661732
[TBL] [Abstract][Full Text] [Related]
29. Fit analysis in latent trait measurement models.
Smith RM
J Appl Meas; 2000; 1(2):199-218. PubMed ID: 12029178
[TBL] [Abstract][Full Text] [Related]
30. Predicting responses from Rasch measures.
Linacre JM
J Appl Meas; 2010; 11(1):1-10. PubMed ID: 20351444
[TBL] [Abstract][Full Text] [Related]
31. The recovery of the density scale using a stochastic quasi-realization of additive conjoint measurement.
Pelton TW; Bunderson CV
J Appl Meas; 2003; 4(3):269-81. PubMed ID: 12904677
[TBL] [Abstract][Full Text] [Related]
32. Team assessment utilizing a many-facet Rasch model.
Allen JM; Schumacker RE
J Outcome Meas; 1998; 2(2):142-58. PubMed ID: 9661736
[TBL] [Abstract][Full Text] [Related]
33. Rasch modeling of revised token test performance: validity and sensitivity to change.
Hula W; Doyle PJ; McNeil MR; Mikolic JM
J Speech Lang Hear Res; 2006 Feb; 49(1):27-46. PubMed ID: 16533071
[TBL] [Abstract][Full Text] [Related]
34. The effect of sample size for estimating Rasch/IRT parameters with dichotomous items.
Stone M; Yumoto F
J Appl Meas; 2004; 5(1):48-61. PubMed ID: 14757991
[TBL] [Abstract][Full Text] [Related]
35. Random parameter structure and the testlet model: extension of the Rasch testlet model.
Paek I; Yon H; Wilson M; Kang T
J Appl Meas; 2009; 10(4):394-407. PubMed ID: 19934527
[TBL] [Abstract][Full Text] [Related]
36. A Box-Cox normal model for response times.
Klein Entink RH; van der Linden WJ; Fox JP
Br J Math Stat Psychol; 2009 Nov; 62(Pt 3):621-40. PubMed ID: 19187574
[TBL] [Abstract][Full Text] [Related]
37. The family approach to assessing fit in Rasch measurement.
Smith RM; Plackner C
J Appl Meas; 2009; 10(4):424-37. PubMed ID: 19934529
[TBL] [Abstract][Full Text] [Related]
38. Parameter recovery for the rating scale model using PARSCALE.
French GA; Dodd BG
J Outcome Meas; 1999; 3(2):176-99. PubMed ID: 10204326
[TBL] [Abstract][Full Text] [Related]
39. Why measurement matters for measuring patient vision outcomes.
Mallinson T
Optom Vis Sci; 2007 Aug; 84(8):675-82. PubMed ID: 17700332
[TBL] [Abstract][Full Text] [Related]
40. A Study of Rasch, partial credit, and rating scale model parameter recovery in WINSTEPS and jMetrik.
Meyer JP; Hailey E
J Appl Meas; 2012; 13(3):248-58. PubMed ID: 23234828
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]