메뉴 건너뛰기




Volumn 76, Issue 1, 2016, Pages 114-140

It Might Not Make a Big DIF: Improved Differential Test Functioning Statistics That Account for Sampling Variability

Author keywords

differential item functioning; differential test functioning; item response theory; multiple imputation

Indexed keywords


EID: 84953426291     PISSN: 00131644     EISSN: 15523888     Source Type: Journal    
DOI: 10.1177/0013164415584576     Document Type: Article
Times cited : (83)

References (28)
  • 2
    • 0001670658 scopus 로고
    • Some latent trait models and their use in inferring an examinee’s ability
    • Reading, MA: Addison-Wesley,,. In (Eds.),, (pp
    • A.Birnbaum (1968). Some latent trait models and their use in inferring an examinee’s ability. In (Eds.), Statistical theories of mental test scores (pp. 395-479). Reading, MA: Addison-Wesley.
    • (1968) Statistical theories of mental test scores , pp. 395-479
    • Birnbaum, A.1
  • 3
    • 0000433590 scopus 로고
    • Marginal maximum likelihood estimation of item parameters: Application of an EM algorithm
    • R.D.BockM.Aitkin (1981). Marginal maximum likelihood estimation of item parameters: Application of an EM algorithm. Psychometrika, 46, 443-459.
    • (1981) Psychometrika , vol.46 , pp. 443-459
    • Bock, R.D.1    Aitkin, M.2
  • 4
    • 56649107961 scopus 로고    scopus 로고
    • SEM of another flavour: Two new applications of the supplemented EM algorithm
    • L.Cai (2008). SEM of another flavour: Two new applications of the supplemented EM algorithm. British Journal of Mathematical and Statistical Psychology, 61, 309-329.
    • (2008) British Journal of Mathematical and Statistical Psychology , vol.61 , pp. 309-329
    • Cai, L.1
  • 5
    • 77950076362 scopus 로고    scopus 로고
    • High-dimensional exploratory item factor analysis by a Metropolis-Hastings Robbins-Monro algorithm
    • . :
    • L.Cai (2010). High-dimensional exploratory item factor analysis by a Metropolis-Hastings Robbins-Monro algorithm. Psychometrika, 75, 33-57. doi:10.1007/S11336-009-9136-X
    • (2010) Psychometrika , vol.75 , pp. 33-57
    • Cai, L.1
  • 6
    • 84863321643 scopus 로고    scopus 로고
    • mirt: A multidimensional item response theory package for the R environment
    • . Retrieved from
    • R.P.Chalmers (2012). mirt: A multidimensional item response theory package for the R environment. Journal of Statistical Software, 48(6), 1-29. Retrieved from http://www.jstatsoft.org/v48/i06
    • (2012) Journal of Statistical Software , vol.48 , Issue.6 , pp. 1-29
    • Chalmers, R.P.1
  • 7
    • 79960170717 scopus 로고    scopus 로고
    • An analytic comparison of effect sizes for differential item functioning
    • . :
    • C.E.DeMars (2011). An analytic comparison of effect sizes for differential item functioning. Applied Measurement in Education, 24, 189-209. doi:10.1080/08957347.2011.580255
    • (2011) Applied Measurement in Education , vol.24 , pp. 189-209
    • DeMars, C.E.1
  • 8
    • 0018115641 scopus 로고
    • Assessing the accuracy of the maximum likelihood estimator: Observed versus expected Fisher information
    • B.EfronD.V.Hinkley (1978). Assessing the accuracy of the maximum likelihood estimator: Observed versus expected Fisher information. Biometrika, 65, 457-482.
    • (1978) Biometrika , vol.65 , pp. 457-482
    • Efron, B.1    Hinkley, D.V.2
  • 9
    • 54049088622 scopus 로고    scopus 로고
    • Incorporating measurement nonequivalence in a cross-study latent growth curve analysis
    • D.FloraP.CurranA.HussongM.Edwards (2008). Incorporating measurement nonequivalence in a cross-study latent growth curve analysis. Structural Equation Modeling, 15, 676-704.
    • (2008) Structural Equation Modeling , vol.15 , pp. 676-704
    • Flora, D.1    Curran, P.2    Hussong, A.3    Edwards, M.4
  • 13
  • 14
    • 33751502346 scopus 로고    scopus 로고
    • Limited information goodness-of-fit testing in multidimensional contingency tables
    • . :
    • A.Maydeu-OlivaresH.Joe (2006). Limited information goodness-of-fit testing in multidimensional contingency tables. Psychometrika, 71,713-732. doi:10.1007/s11336-005-1295-9
    • (2006) Psychometrika , vol.71 , pp. 713-732
    • Maydeu-Olivares, A.1    Joe, H.2
  • 15
    • 84954932200 scopus 로고
    • Teaching about approximate confidence regions based on maximum likelihood estimation
    • W.Q.MeekerL.A.Escobar (1995). Teaching about approximate confidence regions based on maximum likelihood estimation. The American Statistician, 49(1), 48-53.
    • (1995) The American Statistician , vol.49 , Issue.1 , pp. 48-53
    • Meeker, W.Q.1    Escobar, L.A.2
  • 17
    • 33645118836 scopus 로고    scopus 로고
    • A new method for assessing the statistical significance in the differential functioning of items and tests (DFIT) framework
    • T.C.OshimaN.S.RajuA.O.Nanda (2006). A new method for assessing the statistical significance in the differential functioning of items and tests (DFIT) framework. Journal of Educational Measurement, 43(1), 1-17.
    • (2006) Journal of Educational Measurement , vol.43 , Issue.1 , pp. 1-17
    • Oshima, T.C.1    Raju, N.S.2    Nanda, A.O.3
  • 18
    • 84891510618 scopus 로고    scopus 로고
    • A comparison of item parameter standard error estimation procedures for unidimensional and multidimensional IRT modeling
    • I.PaekL.Cai (2014). A comparison of item parameter standard error estimation procedures for unidimensional and multidimensional IRT modeling. Educational and Psychological Measurement, 74, 58-76.
    • (2014) Educational and Psychological Measurement , vol.74 , pp. 58-76
    • Paek, I.1    Cai, L.2
  • 25
    • 84925623234 scopus 로고
    • Test of statistical hypothesis concerning several parameters when the number of observations is large
    • A.Wald (1943). Test of statistical hypothesis concerning several parameters when the number of observations is large. Transactions of the American Mathematical Society, 54, 426-482.
    • (1943) Transactions of the American Mathematical Society , vol.54 , pp. 426-482
    • Wald, A.1
  • 28
    • 84897023975 scopus 로고    scopus 로고
    • Information matrices and standard errors for MLEs of item parameters in IRT
    • K.-H.YuanY.ChengJ.Patton (2013). Information matrices and standard errors for MLEs of item parameters in IRT. Psychometrika, 79, 232-254.
    • (2013) Psychometrika , vol.79 , pp. 232-254
    • Yuan, K.-H.1    Cheng, Y.2    Patton, J.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.