An Expanded Derivation of the Threshold Structure of the Polytomous Rasch Model That Dispels Any "Threshold Disorder Controversy"

被引:71
|
作者
Andrich, David [1 ]
机构
[1] Univ Western Australia, Crawley, WA 6009, Australia
基金
澳大利亚研究理事会;
关键词
Rasch model; rating scale model; partial credit model; ordered category formats; polytomous Rasch model; STATISTICS;
D O I
10.1177/0013164412450877
中图分类号
G44 [教育心理学];
学科分类号
0402 ; 040202 ;
摘要
Responses to items with formats in more than two ordered categories are ubiquitous in education and the social sciences. Because the putative ordering of the categories reflects an understanding of what it means to have more of the variable, it seems mandatory that the ordering of the categories is an empirical property of the assessments and not merely a property of the model used to analyze them. To provide an unequivocal interpretation of category ordering in rating formats, this article expands the original derivation of the polytomous Rasch model for ordered categories. To do so, it integrates a complex of mathematical relationships among response spaces from which a space of experimentally independent Bernoulli variables, characterized by Rasch's simple logistic model, can be inferred. From this inference, the article establishes the necessary and sufficient evidence to test the hypothesis that the required ordering of the categories is an empirical property of the assessments. This expanded derivation, which exposes how Adams, Wu, and Wilson (2012) misconstrue the model and its implications, is intended to dispel the so-called disordered threshold controversy they claim exists.
引用
收藏
页码:78 / 124
页数:47
相关论文
共 50 条
  • [1] The Rasch Rating Model and the Disordered Threshold Controversy
    Adams, Raymond J.
    Wu, Margaret L.
    Wilson, Mark
    [J]. EDUCATIONAL AND PSYCHOLOGICAL MEASUREMENT, 2012, 72 (04) : 547 - 573
  • [2] A Derivation of the Polytomous Rasch Model Based on the Most Probable Distribution Method
    Noventa, Stefano
    Stefanutti, Luca
    Vidotto, Giulio
    [J]. SPANISH JOURNAL OF PSYCHOLOGY, 2014, 17
  • [3] The derivation of a latent threshold instrumental variables model
    Glickman, ME
    Normand, SLT
    [J]. STATISTICA SINICA, 2000, 10 (02) : 517 - 544
  • [4] A probabilistic threshold model: Analyzing semantic categorization data with the Rasch model
    Verheyen, Steven
    Hampton, James A.
    Storms, Gert
    [J]. ACTA PSYCHOLOGICA, 2010, 135 (02) : 216 - 225
  • [5] Derivation of the percolation threshold for the network model of Barabasi and Albert
    Pietsch, Wolfgang
    [J]. PHYSICAL REVIEW E, 2006, 73 (06):
  • [6] Effect of threshold disorder on the quorum percolation model
    Monceau, Pascal
    Renault, Renaud
    Metens, Stephane
    Bottani, Samuel
    [J]. PHYSICAL REVIEW E, 2016, 94 (01)
  • [7] Methods for assessing item, step, and threshold invariance in polytomous items following the partial credit model
    Penfield, Randall D.
    Myers, Nicholas D.
    Wolfe, Edward W.
    [J]. EDUCATIONAL AND PSYCHOLOGICAL MEASUREMENT, 2008, 68 (05) : 717 - 733
  • [8] Effect of interaction network structure in a response threshold model
    Masashi Shiraishi
    Osamu Yamanaka
    Hiraku Nishimori
    [J]. Artificial Life and Robotics, 2022, 27 : 743 - 750
  • [9] Effect of interaction network structure in a response threshold model
    Shiraishi, Masashi
    Yamanaka, Osamu
    Nishimori, Hiraku
    [J]. ARTIFICIAL LIFE AND ROBOTICS, 2022, 27 (04) : 743 - 750
  • [10] Power periodic threshold GARCH model: Structure and estimation
    Guerbyenne, Hafida
    Kessira, Abderrahim
    [J]. COMMUNICATIONS IN STATISTICS-THEORY AND METHODS, 2019, 48 (19) : 4834 - 4860