단일집단 및 다집단 검사자료의 IRT 문항모수 추정을 위한 BILOG-MG, ICL, PARSCALE 프로그램의 기능 비교

논문상세정보
' 단일집단 및 다집단 검사자료의 IRT 문항모수 추정을 위한 BILOG-MG, ICL, PARSCALE 프로그램의 기능 비교' 의 주제별 논문영향력
논문영향력 선정 방법
논문영향력 요약
주제
  • 교육학
  • bilog-mg
  • icl
  • item response theory(irt)
  • parscale
  • single-andmultiple-groupestimation
  • 단일집단및다집단irt추정
  • 문항반응이론
동일주제 총논문수 논문피인용 총횟수 주제별 논문영향력의 평균
14,479 0

0.0%

' 단일집단 및 다집단 검사자료의 IRT 문항모수 추정을 위한 BILOG-MG, ICL, PARSCALE 프로그램의 기능 비교' 의 참고문헌

  • 유한혼합분포에 대한 EM 알고리듬을 사용한 다집단 IRT 추정 방법의 원리와 기능
    김성훈 교육평가연구 26 (4) : 801 ~ 822 [2013]
  • 다수의 피험자 집단에 실시된 공통 본 검사 문항과 고유 외부가교 문항의 IRT 모수 추정 방법
    김성훈 교육평가연구 24 (2) : 423 ~ 443 [2011]
  • The use of prior distributions in marginalized Bayesian item parameter estimation : A didactic
    Harwell, M. R. Applied Psychological Measurement 15 (4) : 375 ~ 389 [1991]
  • Test equating, scaling, and linking: Methods and practices
    Kolen, M. J. Springer [2004]
  • Statistical theories of mental test scores
    Birnbaum, A. Addison-Wesley : 397 ~ 479 [1968]
  • Some observations on the metric of PC-BILOG results
    Baker, F. B. Applied Psychological Measurement 14 (2) : 139 ~ 150 [1990]
  • Recovery of marginal maximum likelihood estimates in the two-parameter logistic response model : An evaluation of MULTILOG
    Stone, C. A. Applied Psychological Measurement 16 (1) : 1 ~ 16 [1992]
  • Practical programming in Tcl and Tk
    Welch, B. B Prentice Hall [2003]
  • PARSCALE (Version 3.5): IRT item analysis and test scoring for rating-scale data [Computer software]
    Muraki, E. Scientific Software International [1996]
  • Obtaining a common scale for item response theory item parameters using separate versus concurrent estimation in the common-item equating design
    Hanson, B. A. Applied Psychological Measurement 26 (1) : 3 ~ 24 [2002]
  • Marginal maximum likelihood estimation of item parameters : Application of an EM algorithm
    Bock, R. D. Psychometrika 46 (4) : 443 ~ 459 [1981]
  • LOGIST user's guide
    Wingersky, M. S. Educational Testing Service [1982]
  • Item response theory: Principles and applications
    Hambleton, R. K. Kluwer [1985]
  • Item response theory for psychologists
    Embreston, S. E. Lawrence Erlbaum [2000]
  • Item Response Theory: Parameter Estimation Techniques
    Baker, F. B. Marcel Dekker [2004]
  • IRT from SSI: BILOG-MG, MULTILOG, PARSCALE, TESTFACT
    du Toit, M. Scientific Software International [2003]
  • IRT Command Language (ICL) (Version 0.020301)
  • Handbook of modern item response theory
    van der Linden, W. J. Springer-Verlag [1997]
  • Handbook of modern item response theory
    Bock, R. D. Springer-Verlag : 433 ~ 448 [1997]
  • Fitting a response model for n dichotomously scored items
    Bock, R. D. Psychometrika 35 (2) : 179 ~ 197 [1970]
  • Estimation of item response models using the EM algorithm for finite mixtures
  • Effects on scale linking of different definitions of criterion functions for the IRT characteristic curve methods
    Kim, S. Journal of Educational and Behavioral Statistics 32 (4) : 371 ~ 397 [2007]
  • Effects of collapsing categories on IRT scale transformation methods under the generalized partial credit model
    Cho, Y. Paper presented at the Annual Meeting of the National Council on Measurement in Education [2008]
  • Educational measurement
    Yen, W. M. American Council on Education and Praeger [2006]
  • Bayes modal estimation in item response models
    Mislevy, R. J. Psychometrika 51 (2) : 177 ~ 195 [1986]
  • BILOG: Item analysis and test scoring with binary logistic models [Computer software]
    Mislevy, R. J. Scientific Software [1984]
  • BILOG-MG의 고정모수 추정 기능에 대한진단과 그 활용
    김성훈 교육평가연구 19 (1) : 323 ~ 345 [2006]
  • BILOG-MG를 사용한 IRT 모형 모수의 추정에서 기저 능력분포의 경험적 추정이 문항모수 추정에 미치는 영향
    김성훈 교육평가연구 25 (2) : 317 ~ 336 [2012]
  • BILOG-MG: Multiple-group IRT analysis and test maintenance for binary items [Computer software]
    Zimowski, M. F. Scientific Software International [1996]
  • Applications of item response theory
    Wingersky, M. S. Educational Research Institute of British Columbia : 45 ~ 56 [1983]
  • Applications of Item Response Theory to Practical Testing Problems
    Lord, F. M. Erlbaum [1980]
  • An empirical study of the effects of small data sets and varying prior variances on item parameter estimation in BILOG
    Harwell, M. R. Applied Psychological Measurement 15 (3) : 279 ~ 291 [1991]
  • An analysis of the Verbal Scholastic Aptitude Test using Birnbaum's three-parameter logistic model
    Lord, F. M. Educational and Psychological Measurement 28 (4) : 989 ~ 1020 [1968]
  • A generalized partial credit model : Application of an EM algorithm
    Muraki, E. Applied Psychological Measurement 16 (2) : 159 ~ 176 [1992]
  • A consumer's guide to LOGIST and BILOG
    Mislevy, R. J. Applied Psychological Measurement 13 (1) : 57 ~ 78 [1989]
  • A comparison of the efficiency and accuracy of BILOG and LOGIST
    Yen, W. M. Psychometrika 52 (2) : 275 ~ 291 [1987]
  • A comparison of item and ability parameter estimates derived from LOGIST and BILOG
    Qualls, A. L. Paper presented at the Annual Meeting of the National Council on Measurement in Education [1985]
  • A comparative study of IRT fixed parameter calibration methods
    Kim, S. Journal of Educational Measurement 43 (4) : 355 ~ 381 [2006]
  • A Diagnosis on the Performance of BILOG-MG’s Empirical Reliability Estimators for IRT Ability Scores
    김성훈 교육평가연구 26 (2) : 507 ~ 531 [2013]