Comparing the difficulty of examination subjects with item response theory

被引:26
|
作者
Korobko, Oksana B. [1 ]
Glas, Cees A. W. [1 ]
Bosker, Roel J. [2 ]
Luyten, Johan W. [3 ]
机构
[1] Univ Twente, Dept Res Methodol, NL-7500 AE Enschede, Netherlands
[2] Univ Groningen, Dept Educ, NL-9712 TJ Groningen, Netherlands
[3] Univ Twente, Dept Educ Org & Management, NL-7500 AE Enschede, Netherlands
关键词
D O I
10.1111/j.1745-3984.2007.00057.x
中图分类号
G44 [教育心理学];
学科分类号
0402 ; 040202 ;
摘要
Methods are presented for comparing grades obtained in a situation where students can choose between different subjects. It must be expected that the comparison between the grades is complicated by the interaction between the students' pattern and level of proficiency on one hand, and the choice of the subjects on the other hand. Three methods based on item response theory (IRT) for the estimation of proficiency measures that are comparable over students and subjects are discussed: a method based on a model with a unidimensional representation of proficiency, a method based on a model with a multidimensional representation of proficiency, and a method based on a multidimensional representation of proficiency where the stochastic nature of the choice of examination subjects is explicitly modeled. The methods are compared using the data from the Central Examinations in Secondary Education in the Netherlands. The results show that the unidimensional IRT model produces unrealistic results, which do not appear when using the two multidimensional IRT models. Further, it is shown that both the multidimensional models produce acceptable model fit. However, the model that explicitly takes the choice process into account produces the best model fit.
引用
收藏
页码:139 / 157
页数:19
相关论文
共 50 条
  • [1] Comparing Test Sets with Item Response Theory
    Vania, Clara
    Htut, Phu Mon
    Huang, William
    Mungra, Dhara
    Pang, Richard Yuanzhe
    Phang, Jason
    Liu, Haokun
    Cho, Kyunghyun
    Bowman, Samuel R.
    59TH ANNUAL MEETING OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS AND THE 11TH INTERNATIONAL JOINT CONFERENCE ON NATURAL LANGUAGE PROCESSING, VOL 1 (ACL-IJCNLP 2021), 2021, : 1141 - 1158
  • [2] An Examination of Item Response Theory Item Fit Indices for the Graded Response Model
    LaHuis, David M.
    Clark, Patrick
    O'Brien, Erin
    ORGANIZATIONAL RESEARCH METHODS, 2011, 14 (01) : 10 - 23
  • [3] Comparing Differential Item Functioning Based on Multilevel Mixture Item Response Theory, Mixture Item Response Theory and Manifest Groups
    Dogan, Oemer
    Atar, Burcu
    JOURNAL OF MEASUREMENT AND EVALUATION IN EDUCATION AND PSYCHOLOGY-EPOD, 2024, 15 (02): : 120 - 137
  • [4] ITEM DIFFICULTY AND SPEED OF RESPONSE
    BENNETT, GK
    DOPPELT, JE
    EDUCATIONAL AND PSYCHOLOGICAL MEASUREMENT, 1956, 16 (04) : 494 - 496
  • [5] Comparing multiunidimensional and unidimentional item response theory models
    Sheng, Yanyan
    EDUCATIONAL AND PSYCHOLOGICAL MEASUREMENT, 2007, 67 (06) : 899 - 919
  • [6] The Relation of Item Difficulty Between Classical Test Theory and Item Response Theory: Computerized Adaptive Test Perspective
    Aybek, Eren Can
    JOURNAL OF MEASUREMENT AND EVALUATION IN EDUCATION AND PSYCHOLOGY-EPOD, 2023, 14 (02): : 118 - 127
  • [7] Gaining Insights into Course Difficulty Variations Using Item Response Theory
    Baucks, Frederik
    Schmucker, Robin
    Wiskott, Laurenz
    FOURTEENTH INTERNATIONAL CONFERENCE ON LEARNING ANALYTICS & KNOWLEDGE, LAK 2024, 2024, : 450 - 461
  • [8] The Online Flow Questionnaire: An Item Response Theory Examination
    Stavropoulos, Vasileios
    Footitt, Trent
    Zarate, Daniel
    Prokofieva, Maria
    Griffiths, Mark D. D.
    CYBERPSYCHOLOGY BEHAVIOR AND SOCIAL NETWORKING, 2022, 25 (12) : 793 - 801
  • [9] On the Relationship Between Differential Item Functioning and Item Difficulty: An Issue of Methods? Item Response Theory Approach to Differential Item Functioning
    Veronica Santelices, Maria
    Wilson, Mark
    EDUCATIONAL AND PSYCHOLOGICAL MEASUREMENT, 2012, 72 (01) : 5 - 36
  • [10] An item response model with internal restrictions on item difficulty
    René Butter
    Paul De Boeck
    Norman Verhelst
    Psychometrika, 1998, 63 : 47 - 63