240 related articles for article (PubMed ID: 19934525)
1. 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]
2. Estimating the pi* goodness of fit index for finite mixtures of item response models.
Revuelta J
Br J Math Stat Psychol; 2008 May; 61(Pt 1):93-113. PubMed ID: 18482477
[TBL] [Abstract][Full Text] [Related]
3. A critique of Rasch residual fit statistics.
Karabatsos G
J Appl Meas; 2000; 1(2):152-76. PubMed ID: 12029176
[TBL] [Abstract][Full Text] [Related]
4. Rasch fit statistics as a test of the invariance of item parameter estimates.
Smith RM; Suh KK
J Appl Meas; 2003; 4(2):153-63. PubMed ID: 12748407
[TBL] [Abstract][Full Text] [Related]
5. Marginal likelihood inference for a model for item responses and response times.
Glas CA; van der Linden WJ
Br J Math Stat Psychol; 2010 Nov; 63(Pt 3):603-26. PubMed ID: 20109271
[TBL] [Abstract][Full Text] [Related]
6. Understanding Rasch measurement: estimation methods for Rasch measures.
Linacre JM
J Outcome Meas; 1999; 3(4):382-405. PubMed ID: 10572388
[TBL] [Abstract][Full Text] [Related]
7. Conditional pairwise estimation in the Rasch model for ordered response categories using principal components.
Andrich D; Luo G
J Appl Meas; 2003; 4(3):205-21. PubMed ID: 12904672
[TBL] [Abstract][Full Text] [Related]
8. Heteroscedastic one-factor models and marginal maximum likelihood estimation.
Hessen DJ; Dolan CV
Br J Math Stat Psychol; 2009 Feb; 62(Pt 1):57-77. PubMed ID: 17935662
[TBL] [Abstract][Full Text] [Related]
9. Item set discrimination and the unit in the Rasch model.
Humphry S
J Appl Meas; 2012; 13(2):165-80. PubMed ID: 22805360
[TBL] [Abstract][Full Text] [Related]
10. A comparison of three polytomous item response theory models in the context of testlet scoring.
Cook KF; Dodd BG; Fitzpatrick SJ
J Outcome Meas; 1999; 3(1):1-20. PubMed ID: 10063769
[TBL] [Abstract][Full Text] [Related]
11. 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]
12. Rasch analysis of distractors in multiple-choice items.
Wang WC
J Outcome Meas; 1998; 2(1):43-65. PubMed ID: 9661731
[TBL] [Abstract][Full Text] [Related]
13. Identifying measurement disturbance effects using Rasch item fit statistics and the Logit Residual Index.
Mount RE; Schumacker RE
J Outcome Meas; 1998; 2(4):338-50. PubMed ID: 9803719
[TBL] [Abstract][Full Text] [Related]
14. FIM measurement properties and Rasch model details.
Wright BD; Linacre JM; Smith RM; Heinemann AW; Granger CV
Scand J Rehabil Med; 1997 Dec; 29(4):267-72. PubMed ID: 9428061
[TBL] [Abstract][Full Text] [Related]
15. Testing and modelling non-normality within the one-factor model.
Molenaar D; Dolan CV; Verhelst ND
Br J Math Stat Psychol; 2010 May; 63(Pt 2):293-317. PubMed ID: 19796474
[TBL] [Abstract][Full Text] [Related]
16. Adjusted Rasch person-fit statistics.
Dimitrov DM; Smith RM
J Appl Meas; 2006; 7(2):170-83. PubMed ID: 16632900
[TBL] [Abstract][Full Text] [Related]
17. Bayesian item fit analysis for unidimensional item response theory models.
Sinharay S
Br J Math Stat Psychol; 2006 Nov; 59(Pt 2):429-49. PubMed ID: 17067420
[TBL] [Abstract][Full Text] [Related]
18. Likelihood ratio testing of variance components in the linear mixed-effects model using restricted maximum likelihood.
Morrell CH
Biometrics; 1998 Dec; 54(4):1560-8. PubMed ID: 9883552
[TBL] [Abstract][Full Text] [Related]
19. On the lack of comonotonicity between likert scores and Rasch-based measures.
Bertoli-Barsotti L
J Appl Meas; 2005; 6(1):71-9. PubMed ID: 15701945
[TBL] [Abstract][Full Text] [Related]
20. Testing the fit of a regression model via score tests in random effects models.
le Cessie S; van Houwelingen HC
Biometrics; 1995 Jun; 51(2):600-14. PubMed ID: 7662848
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
