메뉴 건너뛰기




Volumn 35, Issue 1, 2011, Pages 8-26

On the analysis of fraction subtraction data: The DINA model, classification, latent class sizes, and the Q-matrix

Author keywords

cognitive diagnosis; DINA; fraction subtraction data; latent class models; MCMC; posterior mode estimation

Indexed keywords


EID: 78650738998     PISSN: 01466216     EISSN: 15523497     Source Type: Journal    
DOI: 10.1177/0146621610377081     Document Type: Article
Times cited : (161)

References (45)
  • 3
    • 33746362586 scopus 로고    scopus 로고
    • Learning factors analysis: A general method for cognitive model evaluation and improvement
    • In M. Ikeda, K. Ashley, & T. Chan (Eds.), Berlin, Germany: Springer
    • Cen, H., Koedinger, K., Junker, B. (2005). Learning factors analysis: A general method for cognitive model evaluation and improvement. In M. Ikeda, K. Ashley, & T. Chan (Eds.), Intelligent Tutoring Systems: 8th International Conference (pp. 164-175). Berlin, Germany: Springer.
    • (2005) Intelligent Tutoring Systems: 8th International Conference , pp. 164-175
    • Cen, H.1    Koedinger, K.2    Junker, B.3
  • 7
    • 0036929970 scopus 로고    scopus 로고
    • A latent class extension of signal detection theory, with applications
    • DeCarlo, L.T. (2002). A latent class extension of signal detection theory, with applications. Multivariate Behavioral Research, 37, 423-451.
    • (2002) Multivariate Behavioral Research , vol.37 , pp. 423-451
    • DeCarlo, L.T.1
  • 8
    • 17244372792 scopus 로고    scopus 로고
    • A model of rater behavior in essay grading based on signal detection theory
    • DeCarlo, L.T. (2005). A model of rater behavior in essay grading based on signal detection theory. Journal of Educational Measurement, 42, 53-76.
    • (2005) Journal of Educational Measurement , vol.42 , pp. 53-76
    • DeCarlo, L.T.1
  • 9
    • 85167522866 scopus 로고    scopus 로고
    • Studies of a latent class signal detection model for constructed response scoring
    • Princeton NJ: Educational Testing Service
    • DeCarlo, L.T. (2008). Studies of a latent class signal detection model for constructed response scoring (ETS Technical Report No. RR-08-63). Princeton NJ: Educational Testing Service.
    • (2008) ETS Technical Report No , Issue.RR-08-63
    • DeCarlo, L.T.1
  • 10
    • 78650734157 scopus 로고    scopus 로고
    • Studies of a latent class signal detection model for constructed response scoring II: Incomplete and hierarchical designs
    • Princeton NJ: Educational Testing Service
    • DeCarlo, L.T. (2010). Studies of a latent class signal detection model for constructed response scoring II: Incomplete and hierarchical designs (ETS Technical Report No. RR-10-08). Princeton NJ: Educational Testing Service.
    • (2010) ETS Technical Report No. , Issue.RR-10-08
    • DeCarlo, L.T.1
  • 12
    • 12344281031 scopus 로고    scopus 로고
    • Higher-order latent trait models for cognitive diagnosis
    • de la Torre, J., & Douglas, J.A. (2004). Higher-order latent trait models for cognitive diagnosis. Psychometrika, 69, 333-353.
    • (2004) Psychometrika , vol.69 , pp. 333-353
    • de la Torre, J.1    Douglas, J.A.2
  • 13
    • 62949122638 scopus 로고    scopus 로고
    • Model evaluation and multiple strategies in cognitive diagnosis: An analysis of fraction subtraction data
    • de la Torre, J., & Douglas, J.A. (2008). Model evaluation and multiple strategies in cognitive diagnosis: An analysis of fraction subtraction data. Psychometrika, 73, 595-624.
    • (2008) Psychometrika , vol.73 , pp. 595-624
    • de la Torre, J.1    Douglas, J.A.2
  • 14
    • 67649364217 scopus 로고    scopus 로고
    • Review of cognitively diagnostic assessment and a summary of psychometric models
    • In C. R. Rao & S. Sinharay (Eds.), Vol. (), Amsterdam, Netherlands: Elsevier
    • DiBello, L.V., Roussos, L.A., & Stout, W.F. (2007). Review of cognitively diagnostic assessment and a summary of psychometric models. In C. R. Rao & S. Sinharay (Eds.), Handbook of statistics Vol. 26. Psychometrics (pp. 979-1030). Amsterdam, Netherlands: Elsevier.
    • (2007) Psychometrics , vol.26 , pp. 979-1030
    • DiBello, L.V.1    Roussos, L.A.2    Stout, W.F.3
  • 16
    • 68049124897 scopus 로고    scopus 로고
    • An integrative review of cognitively diagnostic psychometric models
    • (April). Paper presented at the annual meeting of the National Council on Measurement in Education, Chicago, IL
    • Fu, J., & Li, Y. (2007, April). An integrative review of cognitively diagnostic psychometric models. Paper presented at the annual meeting of the National Council on Measurement in Education, Chicago, IL.
    • (2007)
    • Fu, J.1    Li, Y.2
  • 17
    • 62949221387 scopus 로고    scopus 로고
    • Avoiding boundary estimates in latent class analysis by Bayesian posterior mode estimation
    • Galindo-Garre, F., & Vermunt, J.K. (2006). Avoiding boundary estimates in latent class analysis by Bayesian posterior mode estimation. Behaviormetrika, 33, 43-59.
    • (2006) Behaviormetrika , vol.33 , pp. 43-59
    • Galindo-Garre, F.1    Vermunt, J.K.2
  • 20
    • 70849135050 scopus 로고    scopus 로고
    • Defining characteristics of diagnostic classification models and the problem of retrofitting in cognitive diagnostic assessment
    • Gierl, M.J., & Cui, Y. (2008). Defining characteristics of diagnostic classification models and the problem of retrofitting in cognitive diagnostic assessment. Measurement, 6, 263-268.
    • (2008) Measurement , vol.6 , pp. 263-268
    • Gierl, M.J.1    Cui, Y.2
  • 21
    • 84988128977 scopus 로고
    • Using restricted latent class models to map the skill structure of achievement items
    • Haertel, E.H. (1989). Using restricted latent class models to map the skill structure of achievement items. Journal of Educational Measurement, 26, 301-321.
    • (1989) Journal of Educational Measurement , vol.26 , pp. 301-321
    • Haertel, E.H.1
  • 23
    • 67349150499 scopus 로고    scopus 로고
    • Defining a family of cognitive diagnosis models using log-linear models with latent variables
    • Henson, R.A., Templin, J.L., & Willse, J.T. (2009). Defining a family of cognitive diagnosis models using log-linear models with latent variables. Psychometrika, 74, 191-210.
    • (2009) Psychometrika , vol.74 , pp. 191-210
    • Henson, R.A.1    Templin, J.L.2    Willse, J.T.3
  • 25
    • 0035536719 scopus 로고    scopus 로고
    • Cognitive assessment models with few assumptions, and connections with nonparametric item response theory
    • Junker, B.W., & Sijtsma, K. (2001). Cognitive assessment models with few assumptions, and connections with nonparametric item response theory. Applied Psychological Measurement, 25, 258-272.
    • (2001) Applied Psychological Measurement , vol.25 , pp. 258-272
    • Junker, B.W.1    Sijtsma, K.2
  • 26
    • 34250176929 scopus 로고    scopus 로고
    • Model selection methods for dichotomous items
    • Kang, T., & Cohen, A.S. (2007). Model selection methods for dichotomous items. Applied Psychological Measurement, 31, 331-358.
    • (2007) Applied Psychological Measurement , vol.31 , pp. 331-358
    • Kang, T.1    Cohen, A.S.2
  • 27
    • 78650727074 scopus 로고    scopus 로고
    • Wherea's the psychology? A commentary on Unique characteristics of diagnostic classification models: A comprehensive review of the current state-of-the-art
    • Leighton, J.P. (2008). Wherea's the psychology? A commentary on "Unique characteristics of diagnostic classification models: A comprehensive review of the current state-of-the-art." Measurement, 6, 272-275.
    • (2008) Measurement , vol.6 , pp. 272-275
    • Leighton, J.P.1
  • 30
    • 0002658106 scopus 로고
    • The use of probabilistic models in the assessment of mastery
    • Macready, G.B., & Dayton, C.M. (1977). The use of probabilistic models in the assessment of mastery. Journal of Educational Statistics, 2, 99-120.
    • (1977) Journal of Educational Statistics , vol.2 , pp. 99-120
    • Macready, G.B.1    Dayton, C.M.2
  • 31
    • 0033239548 scopus 로고    scopus 로고
    • Estimating multiple classification latent class models
    • Maris, E. (1999). Estimating multiple classification latent class models. Psychometrika, 64, 187-212.
    • (1999) Psychometrika , vol.64 , pp. 187-212
    • Maris, E.1
  • 32
    • 0003753978 scopus 로고    scopus 로고
    • (5th ed.), Los Angeles, CA: Muthé©n & Muthé©n
    • Muthé©n, L.K., & Muthé©n, B.O. (1998-2007). Mplus usera's guide (5th ed.). Los Angeles, CA: Muthé©n & Muthé©n.
    • (1998) Mplus Usera's Guide
    • Muthén, L.K.1    Muthén, B.O.2
  • 33
    • 69949123555 scopus 로고    scopus 로고
    • Unique characteristics of diagnostic classification models: A comprehensive review of the current state-of-the-art
    • Rupp, A.A., & Templin, J.L. (2008a). Unique characteristics of diagnostic classification models: A comprehensive review of the current state-of-the-art. Measurement, 6, 219-262.
    • (2008) Measurement , vol.6 , pp. 219-262
    • Rupp, A.A.1    Templin, J.L.2
  • 34
    • 37649009478 scopus 로고    scopus 로고
    • The effects of Q-matrix misspecification on parameter estimates and classification accuracy in the DINA model
    • Rupp, A.A., & Templin, J.L. (2008b). The effects of Q-matrix misspecification on parameter estimates and classification accuracy in the DINA model. Educational and Psychological Measurement, 68, 78-96.
    • (2008) Educational and Psychological Measurement , vol.68 , pp. 78-96
    • Rupp, A.A.1    Templin, J.L.2
  • 37
    • 0002621607 scopus 로고
    • Toward an integration of item-response theory and cognitive error diagnosis
    • In N. Frederiksen, R. Glaser, A. Lesgold, & M. Shafto (Eds.), Hillsdale, NJ: Erlbaum
    • Tatsuoka, K.K. (1990). Toward an integration of item-response theory and cognitive error diagnosis. In N. Frederiksen, R. Glaser, A. Lesgold, & M. Shafto (Eds.), Diagnostic monitoring of skill and knowledge acquisition (pp. 453-488). Hillsdale, NJ: Erlbaum.
    • (1990) Diagnostic Monitoring of Skill and Knowledge Acquisition , pp. 453-488
    • Tatsuoka, K.K.1
  • 38
    • 36348929682 scopus 로고    scopus 로고
    • General theory and estimation of cognitive diagnosis models: Using Mplus to derive model estimates
    • (April). Paper presented at the 2007 National Council on Measurement in Education training session, Chicago, IL
    • Templin, J., Henson, R., & Douglas, J. (2006, April). General theory and estimation of cognitive diagnosis models: Using Mplus to derive model estimates. Paper presented at the 2007 National Council on Measurement in Education training session, Chicago, IL.
    • (2006)
    • Templin, J.1    Henson, R.2    Douglas, J.3
  • 39
    • 51149115493 scopus 로고    scopus 로고
    • Robustness of hierarchical modeling of skill association in cognitive diagnosis models
    • Templin, J.L., Henson, R.A., Templin, S.E., & Roussos, L. (2008). Robustness of hierarchical modeling of skill association in cognitive diagnosis models. Applied Psychological Measurement, 32, 559-574.
    • (2008) Applied Psychological Measurement , vol.32 , pp. 559-574
    • Templin, J.L.1    Henson, R.A.2    Templin, S.E.3    Roussos, L.4
  • 44
    • 33845244891 scopus 로고    scopus 로고
    • A general diagnostic model applied to language testing data
    • (No.), Princeton NJ: Educational Testing Service
    • von Davier, M. (2005). A general diagnostic model applied to language testing data (ETS Technical Report No. RR-05-16). Princeton NJ: Educational Testing Service.
    • (2005) ETS Technical Report , Issue.RR-05-16
    • von Davier, M.1
  • 45
    • 78650728172 scopus 로고    scopus 로고
    • Some notes on the reinvention of latent structure models as diagnostic classification models
    • von Davier, M. (2009). Some notes on the reinvention of latent structure models as diagnostic classification models. Measurement, 7, 67-74.
    • (2009) Measurement , vol.7 , pp. 67-74
    • von Davier, M.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.