BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

178 related articles for article (PubMed ID: 18753697)

  • 1. 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
    [TBL] [Abstract][Full Text] [Related]  

  • 2. 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]  

  • 3. Who will pass the dental OSCE? Comparison of the Angoff and the borderline regression standard setting methods.
    Schoonheim-Klein M; Muijtjens A; Habets L; Manogue M; van der Vleuten C; van der Velden U
    Eur J Dent Educ; 2009 Aug; 13(3):162-71. PubMed ID: 19630935
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Comparing holistic and analytic scoring for performance assessment with many-facet Rasch model.
    Chi E
    J Appl Meas; 2001; 2(4):379-88. PubMed ID: 12011505
    [TBL] [Abstract][Full Text] [Related]  

  • 5. An introduction to multidimensional measurement using Rasch models.
    Briggs DC; Wilson M
    J Appl Meas; 2003; 4(1):87-100. PubMed ID: 12700433
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Reliability: on the reproducibility of assessment data.
    Downing SM
    Med Educ; 2004 Sep; 38(9):1006-12. PubMed ID: 15327684
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Standard setting with dichotomous and constructed response items: some Rasch model approaches.
    MacCann RG
    J Appl Meas; 2009; 10(4):438-54. PubMed ID: 19934530
    [TBL] [Abstract][Full Text] [Related]  

  • 8. A comparative analysis of the ratings in performance assessment using generalizability theory and the many-facet Rasch model.
    Kim SC; Wilson M
    J Appl Meas; 2009; 10(4):408-23. PubMed ID: 19934528
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Setting performance standards for mannequin-based acute-care scenarios: an examinee-centered approach.
    Boulet JR; Murray D; Kras J; Woodhouse J
    Simul Healthc; 2008; 3(2):72-81. PubMed ID: 19088645
    [TBL] [Abstract][Full Text] [Related]  

  • 10. 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
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Modeling stability of growth between mathematics and science achievement during middle and high school.
    Ma X; Ma L
    Eval Rev; 2004 Apr; 28(2):104-22. PubMed ID: 15030615
    [TBL] [Abstract][Full Text] [Related]  

  • 12. The effects of violating standard item writing principles on tests and students: the consequences of using flawed test items on achievement examinations in medical education.
    Downing SM
    Adv Health Sci Educ Theory Pract; 2005; 10(2):133-43. PubMed ID: 16078098
    [TBL] [Abstract][Full Text] [Related]  

  • 13. An analysis of dimensionality using factor analysis (true-score theory) and Rasch measurement: what is the difference? Which method is better?
    Waugh RF; Chapman ES
    J Appl Meas; 2005; 6(1):80-99. PubMed ID: 15701946
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Consistency in reasoning test scores over time.
    Strand S
    Br J Educ Psychol; 2004 Dec; 74(Pt 4):617-31. PubMed ID: 15530205
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Standard setting in a small scale OSCE: a comparison of the Modified Borderline-Group Method and the Borderline Regression Method.
    Wood TJ; Humphrey-Murto SM; Norman GR
    Adv Health Sci Educ Theory Pract; 2006 May; 11(2):115-22. PubMed ID: 16729239
    [TBL] [Abstract][Full Text] [Related]  

  • 16. The practical value of the standard error of measurement in borderline pass/fail decisions.
    Hays R; Gupta TS; Veitch J
    Med Educ; 2008 Aug; 42(8):810-5. PubMed ID: 18564094
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Setting and maintaining standards in multiple choice examinations: AMEE Guide No. 37.
    Bandaranayake RC
    Med Teach; 2008; 30(9-10):836-45. PubMed ID: 19117221
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Teacher receptivity to a system-wide change in a centralized education system: a Rasch measurement model analysis.
    Waugh RF
    J Outcome Meas; 1999; 3(1):71-88. PubMed ID: 10063773
    [TBL] [Abstract][Full Text] [Related]  

  • 19. 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]  

  • 20. An empirical study on the relationship between teacher's judgments and fit statistics of the partial credit model.
    Baek SG; Kim HS
    J Appl Meas; 2009; 10(1):84-96. PubMed ID: 19299887
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 9.