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      KCI등재 SCOPUS SSCI

      An IRT modeling of change over time for repeated measures item response data using a random weights linear logistic test model approach

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      https://www.riss.kr/link?id=A104848930

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      다국어 초록 (Multilingual Abstract)

      In this study, repeated measures item response data from an English language proficiency (ELP) test administered over 2 years were analyzed by item response theory-based approaches to model change over time. First, change over time was modeled by an i...

      In this study, repeated measures item response data from an English language proficiency (ELP) test administered over 2 years were analyzed by item response theory-based approaches to model change over time. First, change over time was modeled by an item side change approach where change was parameterized at the item level. Second, more importantly, this study introduced and demonstrated an application of an interaction model for change, which overcomes a limitation of the item side change approach by allowing interaction effects between persons and item side change parameters. The results showed that student changes in the ELP data used in this study should be modeled for the three sub-content areas and that modeling interaction for change was necessary.

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      참고문헌 (Reference)

      1 Rijmen, F., "The random weights linear logistic test model" 26 : 271-285, 2002

      2 Fischer, G. H., "The linear logistic test model as an instrument in educational research" 37 : 357-374, 1973

      3 Wu, M. L., "The development and application of a fit test for use with marginal maximum likelihood estimation and generalized item response models" University of Melbourne 1997

      4 SAS Institute, "SAS online doc. (version 8)" SAS Institute Inc 1999

      5 Wright, B. D., "Rating scale analysis" MESA press 1982

      6 Adams, R. J., "Quest. Melbourne" Australia Council for Educational Research 1996

      7 Lin, T. H., "Model selection information criteria for non-nested latent class models" 22 : 249-264, 1997

      8 Wang, W., "Measuring individual differences in change with Rasch models" 2 (2): 240-265, 1998

      9 Bock, R. D., "Marginal maximum likelihood estimation of item parameters: An application of the EM algorithm" 46 : 443-459, 1981

      10 Fischer, G. H., "Linear logistic models for change, In Rasch models: Foundations, recent developments, and applications" Springer 157-180, 1995

      1 Rijmen, F., "The random weights linear logistic test model" 26 : 271-285, 2002

      2 Fischer, G. H., "The linear logistic test model as an instrument in educational research" 37 : 357-374, 1973

      3 Wu, M. L., "The development and application of a fit test for use with marginal maximum likelihood estimation and generalized item response models" University of Melbourne 1997

      4 SAS Institute, "SAS online doc. (version 8)" SAS Institute Inc 1999

      5 Wright, B. D., "Rating scale analysis" MESA press 1982

      6 Adams, R. J., "Quest. Melbourne" Australia Council for Educational Research 1996

      7 Lin, T. H., "Model selection information criteria for non-nested latent class models" 22 : 249-264, 1997

      8 Wang, W., "Measuring individual differences in change with Rasch models" 2 (2): 240-265, 1998

      9 Bock, R. D., "Marginal maximum likelihood estimation of item parameters: An application of the EM algorithm" 46 : 443-459, 1981

      10 Fischer, G. H., "Linear logistic models for change, In Rasch models: Foundations, recent developments, and applications" Springer 157-180, 1995

      11 Hoijtink, H., "Linear and repeated measures models for the person parameters, In Rasch models: Foundations, recent developments, and applications" Springer 204-214, 1995

      12 Wang, W. -C., "Item parameter recovery, standard error estimates, and fit statistics of the WINSTEPS program for the family of Rasch models" 65 : 376-404, 2005

      13 Robert, J. S., "IRT models to assess change across repeated measurements" 2005

      14 Wang, W., "Gain scores in item response theory as an effect size measure" 64 : 758-780, 2004

      15 De Boeck, P., "Explanatory item response models: A generalized linear and nonlinear approach" Springer 2004

      16 Schwarz, G., "Estimating the dimension of a model" 6 : 461-464, 1978

      17 Fischer, G. H., "Derivations of the Rasch models, In Rasch models: Foundations, recent developments, and applications" Springer 15-38, 1995

      18 Wilson, M., "Constructing measures: An item response modeling approach" Lawrence Erlbaum Associates 2004

      19 te Marvelde, J. M., "Application of multidimensional item response theory models to longitudinal data" 66 : 5-34, 2006

      20 Fischer, G. H., "An IRT-based model for dichotomous longitudinal data" 54 : 599-624, 1989

      21 Wu, M. L., "ACER ConQuest: Generalized item response modeling software" ACER 1998

      22 Akaike, H., "A new look at the statistical model identification" 19 : 716-723, 1974

      23 Embretson, S. E., "A multidimensional latent trait model for measuring learning and change" 56 : 495-515, 1991

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      학술지 이력

      학술지 이력
      연월일 이력구분 이력상세 등재구분
      2023 평가예정 해외DB학술지평가 신청대상 (해외등재 학술지 평가)
      2020-01-01 평가 등재학술지 유지 (해외등재 학술지 평가) KCI등재
      2005-01-01 평가 SSCI 등재 (등재후보1차) KCI등재
      2003-01-01 평가 등재후보학술지 선정 (신규평가) KCI등재후보
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      학술지 인용정보

      학술지 인용정보
      기준연도 WOS-KCI 통합IF(2년) KCIF(2년) KCIF(3년)
      2016 0.38 0.18 0.33
      KCIF(4년) KCIF(5년) 중심성지수(3년) 즉시성지수
      0.28 0.27 0.292 0.09
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