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Journal Abstract Search
97 related items for PubMed ID: 21164230
1. Developing examinations that use equal raw scores for cut scores. Swanlund A, Smith E. J Appl Meas; 2010; 11(4):432-42. PubMed ID: 21164230 [Abstract] [Full Text] [Related]
2. Equating designs and procedures used in Rasch scaling. Skaggs G, Wolfe EW. J Appl Meas; 2010; 11(2):182-95. PubMed ID: 20693702 [Abstract] [Full Text] [Related]
3. Validating standard setting with a modified nedelsky procedure through common item test equating. Smith RM, Gross LJ. J Outcome Meas; 1997; 1(2):164-72. PubMed ID: 9661719 [Abstract] [Full Text] [Related]
4. Metric development and score reporting in Rasch measurement. Smith EV. J Appl Meas; 2000; 1(3):303-26. PubMed ID: 12029173 [Abstract] [Full Text] [Related]
5. Moving the cut score on Rasch scored tests. Miller GE, Beretvas SN. J Appl Meas; 2002; 3(3):272-81. PubMed ID: 12147913 [Abstract] [Full Text] [Related]
6. Estimation of decision consistency indices for complex assessments: model based approaches. Stearns M, Smith RM. J Appl Meas; 2008; 9(3):305-15. PubMed ID: 18753697 [Abstract] [Full Text] [Related]
7. Item response theory test equating in health sciences education. Guilera G, Gómez J. Adv Health Sci Educ Theory Pract; 2008 Mar; 13(1):3-10. PubMed ID: 16847729 [Abstract] [Full Text] [Related]
8. The influence of equating methodology on reported trends in PISA. Gebhardt E, Adams RJ. J Appl Meas; 2007 Mar; 8(3):305-22. PubMed ID: 17804896 [Abstract] [Full Text] [Related]
9. Turning words into numbers: establishing an empirical cut score for a letter graded examination. Burch VC, Norman GR. Med Teach; 2009 May; 31(5):442-6. PubMed ID: 18608946 [Abstract] [Full Text] [Related]
10. Comparing screening approaches to investigate stability of common items in Rasch equating. Arce-Ferrer AJ. J Appl Meas; 2008 May; 9(1):57-67. PubMed ID: 18180550 [Abstract] [Full Text] [Related]
11. Equating of multi-facet tests across administrations. Lunz M, Suanthong S. J Appl Meas; 2011 May; 12(2):124-34. PubMed ID: 22089509 [Abstract] [Full Text] [Related]
12. Standard setting with dichotomous and constructed response items: some Rasch model approaches. MacCann RG. J Appl Meas; 2009 May; 10(4):438-54. PubMed ID: 19934530 [Abstract] [Full Text] [Related]
13. Equating and item banking with the Rasch model. Wolfe EW. J Appl Meas; 2000 May; 1(4):409-34. PubMed ID: 12077465 [Abstract] [Full Text] [Related]
15. Liner programming method to construct equated item sets for implementation of periodical computer-based testing of Korean medical licensing examination. Seo DG, Kim MG, Kim NH, Shin HS, Kim HJ. J Educ Eval Health Prof; 2018 Feb; 15():26. PubMed ID: 30336541 [Abstract] [Full Text] [Related]
16. The effect of dropping low scores on ability estimates. Bowles RP. J Appl Meas; 2004 Feb; 5(2):178-88. PubMed ID: 15064537 [Abstract] [Full Text] [Related]
17. Why measurement matters for measuring patient vision outcomes. Mallinson T. Optom Vis Sci; 2007 Aug; 84(8):675-82. PubMed ID: 17700332 [Abstract] [Full Text] [Related]
18. Pre-equating: a simulation study based on a large scale assessment model. Taherbhai HM, Young MJ. J Appl Meas; 2004 Aug; 5(3):301-18. PubMed ID: 15243175 [Abstract] [Full Text] [Related]
19. A primer on classical test theory and item response theory for assessments in medical education. De Champlain AF. Med Educ; 2010 Jan; 44(1):109-17. PubMed ID: 20078762 [Abstract] [Full Text] [Related]
20. Selecting cut scores with a composite of item types: the construct mapping procedure. Draney K, Wilson M. J Appl Meas; 2011 Jan; 12(3):298-309. PubMed ID: 22357129 [Abstract] [Full Text] [Related] Page: [Next] [New Search]