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
  • [41] Goodness-of-Fit tests for dependent data
    Ignaccolo, R
    [J]. JOURNAL OF NONPARAMETRIC STATISTICS, 2004, 16 (1-2) : 19 - 38
  • [42] Tests for the goodness-of-fit of the Laplace distribution
    Chen, C
    [J]. COMMUNICATIONS IN STATISTICS-SIMULATION AND COMPUTATION, 2002, 31 (01) : 159 - 174
  • [43] Goodness-of-fit tests for the Cauchy distribution
    Bora H. Onen
    Dennis C. Dietz
    Vincent C. Yen
    Albert H. Moore
    [J]. Computational Statistics, 2001, 16 : 97 - 107
  • [44] On Thresholds for Robust Goodness-of-Fit Tests
    Unnikrishnan, Jayakrishnan
    Meyn, Sean
    Veeravalli, Venugopal V.
    [J]. 2010 IEEE INFORMATION THEORY WORKSHOP (ITW), 2010,
  • [45] Goodness-of-fit tests for the hyperbolic distribution
    Puig, P
    Stephens, MA
    [J]. CANADIAN JOURNAL OF STATISTICS-REVUE CANADIENNE DE STATISTIQUE, 2001, 29 (02): : 309 - 320
  • [46] BASUS LEMMA AND GOODNESS-OF-FIT TESTS
    WELLS, MT
    [J]. COMMUNICATIONS IN STATISTICS-SIMULATION AND COMPUTATION, 1989, 18 (02) : 711 - 717
  • [47] Goodness-of-fit tests for the Cauchy distribution
    Onen, BH
    Dietz, DC
    Yen, VC
    Moore, AH
    [J]. COMPUTATIONAL STATISTICS, 2001, 16 (01) : 97 - 107
  • [48] On the use of priors in goodness-of-fit tests
    Contreras-Cristan, Alberto
    Lockhart, Richard A.
    Stephens, Michael A.
    Sun, Shaun Z.
    [J]. CANADIAN JOURNAL OF STATISTICS-REVUE CANADIENNE DE STATISTIQUE, 2019, 47 (04): : 560 - 579
  • [49] GOODNESS-OF-FIT TESTS FOR SPECTRAL DISTRIBUTIONS
    ANDERSON, TW
    [J]. ANNALS OF STATISTICS, 1993, 21 (02): : 830 - 847
  • [50] Goodness-of-Fit Tests for Continuous Regression
    Cabana, Alejandra
    Cabana, Enrique M.
    [J]. METHODOLOGY AND COMPUTING IN APPLIED PROBABILITY, 2009, 11 (02) : 119 - 144