An Evaluation of Overall Goodness-of-Fit Tests for the Rasch Model

被引:4
|
作者
Debelak, Rudolf [1 ]
机构
[1] Univ Zurich, Dept Psychol, Zurich, Switzerland
来源
FRONTIERS IN PSYCHOLOGY | 2019年 / 9卷
基金
瑞士国家科学基金会;
关键词
item response theory; Rasch model; item fit; type I error; power; ITEM; INDEPENDENCE; INFORMATION; STATISTICS; PACKAGE;
D O I
10.3389/fpsyg.2018.02710
中图分类号
B84 [心理学];
学科分类号
04 ; 0402 ;
摘要
For assessing the fit of item response theory models, it has been suggested to apply overall goodness-of-fit tests as well as tests for individual items and item pairs. Although numerous goodness-of-fit tests have been proposed in the literature for the Raschmodel, their relative power against several model violations has not been investigated so far. This study compares four of these tests, which are all available in R software: T-10, T-11, M-2, and the LR test. Results on the Type I error rate and the sensitivity to violations of different assumptions of the Rasch model (unidimensionality, local independence on the level of item pairs, equal item discrimination, zero as a lower asymptote for the item characteristic curves, invariance of the item parameters) are reported. The results indicate that the T-11 test is comparatively most powerful against violations of the assumption of parallel item characteristic curves, which includes the presence of unequal item discriminations and a non-zero lower asymptote. Against the remaining model violations, which can be summarized as local dependence, M-2 is found to be most powerful. T-10 and LR are found to be sensitive against violations of the assumption of parallel item characteristic curves, but are insensitive against local dependence.
引用
收藏
页数:10
相关论文
共 50 条
  • [1] Nonparametric goodness-of-fit tests for the Rasch model
    Ponocny, I
    [J]. PSYCHOMETRIKA, 2001, 66 (03) : 437 - 459
  • [2] Nonparametric goodness-of-fit tests for the rasch model
    Ivo Ponocny
    [J]. Psychometrika, 2001, 66 : 437 - 459
  • [3] Nonparametric goodness-of-fit tests for the rasch model
    Ivo Ponocny
    [J]. Psychometrika, 2002, 67 : 315 - 315
  • [5] Goodness-of-fit tests for mixed model diagnostics
    Jiang, JM
    [J]. ANNALS OF STATISTICS, 2001, 29 (04): : 1137 - 1164
  • [6] Adaptive goodness-of-fit tests in a density model
    Fromont, Magalie
    Laurent, Beatrice
    [J]. ANNALS OF STATISTICS, 2006, 34 (02): : 680 - 720
  • [7] Goodness-of-fit tests for the major gene model
    Guo, XQ
    Wickremasinghe, AR
    Wilson, AF
    Elston, RC
    [J]. AMERICAN STATISTICAL ASSOCIATION 1996 PROCEEDINGS OF THE BIOMETRICS SECTION, 1996, : 268 - 273
  • [8] Goodness-of-Fit Tests on Manifolds
    Shapiro, Alexander
    Xie, Yao
    Zhang, Rui
    [J]. IEEE TRANSACTIONS ON INFORMATION THEORY, 2021, 67 (04) : 2539 - 2553
  • [9] Tuning goodness-of-fit tests
    Arrasmith, A.
    Follin, B.
    Anderes, E.
    Knox, L.
    [J]. MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY, 2019, 484 (02) : 1889 - 1898
  • [10] MULTINOMIAL GOODNESS-OF-FIT TESTS
    CRESSIE, N
    READ, TRC
    [J]. JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-METHODOLOGICAL, 1984, 46 (03): : 440 - 464