Likelihood-Based Item-Fit Indices for Dichotomous Item Response Theory Models

By M. Orlando, D. Thissen. 2000

674 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Management Science and Operations Research, Social Psychology

View Paper: https://www.semanticscholar.org/paper/39d10af8f051934810e67b3cc1cc67acb40e738c

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In Computer Networks and Communications

In Management Science and Operations Research

In Social Psychology

Citations in the corpus

Statistical Tests of Conditional Independence Between Responses and/or Response Times on Test Items (2010, background): “…of conditional independence between responses have received considerable earlier attention in the literature (e.g., Chen & Thissen 1997; Glas, 1999; Orlando & Thissen 2000; Yen, 1984), but the study of independence between RTs on different items and between responses and RTs on the same item is…”
The Rediscovery of Bifactor Measurement Models (2012, methodology): “In IRTPRO the fit of each item is judged using adjusted chi-square statistics developed by Orlando and Thissen (2000, 2003).”
IRT Model Selection Methods for Dichotomous Items (2007, methodology): “Studies of model fit under IRT tend to focus on item-level fit (e.g., Orlando & Thissen, 2000, 2003; Sinharay, 2005; Suarez-Falcon & Glas, 2003).”
A Person Fit Test For Irt Models For Polytomous Items (2007, methodology): “In psychological and educational measurement, instruments are developed that are used in a population of persons and item fit is used to evaluate to what extent an IRT model fits an instrument in a particular population (see, for instance, Andersen, 1973; Yen, 1981, 1984; Molenaar, 1983; Glas, 1988,”
Toward Standardized Measurement of Sexual Harassment: Shortening the SEQ-DoD Using Item Response Theory (2002, background): “Model-data fit can be examined by a variety of graphical and statistical procedures (e.g., Hambleton & Swaminathan, 1985; Orlando & Thissen, 2000).”
Understanding Deep Learning Performance through an Examination of Test Set Difficulty: A Psychometric Case Study (2017, methodology): “ been estimated, the local independence assumption must be checked using the residuals of marginal responses of item pairs and item ﬁt can be checked using item ﬁt statistics (Chen and Thissen, 1997; Orlando and Thissen, 2000). Items that do not pass these tests are removed for poor ﬁt and the model”
Development of A Promis Item Bank to Measure Pain Interference (2010, methodology): “We report values of S–X(2) (a Pearson X(2) statistic) and S–G(2) (a likelihood ratio G(2) statistic) [38,39].”
Are there gender differences in cognitive reflection? Invariance and differences related to mathematics (2018, methodology): “…by employing the marginal maximum-likelihood estimation method with the expectation– maximisation algorithm (Bock, & Aitkin, 1981) implemented in IRTPRO (Cai, Du Toit, & Thissen, 2011), and the item fit under the 2PL model was tested computing the S-x2 statistics (Orlando & Thissen, 2000).”
Performance of the generalized S-X2 item fit index for the graded response model (2011, methodology): “…Seongbuk-Gu, Seoul 136-742, Korea e-mail: taehoonkang@gmail.com T. T. Chen ACT Inc., Iowa City, USA the performance of the S-X2 item-fit statistic (Orlando and Thissen 2000, 2003) under the GRM. Specifically, this paper begins with reviewing the generalized S-X2 procedure for polytomous items.”
Subjective well-being at work: Disentangling source effects of stress and support on enthusiasm, contentment, and meaningfulness (2014, methodology): “In addition to the CRC, an item fit diagnostic statistic is computed for each item, which is a generalization for polytomous responses of the S–χ2 item-fit statistic, as suggested by Orlando and Thissen (2000, 2003).”
A Comparison of Item-Fit Statistics for the Three-Parameter Logistic Model (2003, methodology): “Orlando and Thissen (2000) remarked that the grouping of respondents was based on an estimate of θ rather than on some directly observable statistic such as the number-correct score, and therefore, the observed frequencies were not solely a function of the data but also of model-based trait estimate”
Application of Multidimensional Item Response Theory Models to Longitudinal Data (2006, background): “However, Glas and Suarez-Falcon (2003) showed that test statistics based on partitioning the sample of persons using estimates rather than observable statistics have very poor properties (see also Orlando & Thissen, 2000).”
Psychometric Evaluation and Calibration of Health-Related Quality of Life Item Banks: Plans for the Patient-Reported Outcomes Measurement Information System (PROMIS) (2007, background): “Common fit statistics such as Q1, Bock’s (2), and others(43,51) will be examined; also considered will be generalizations of Orlando and Thissen’s S X(2) to polytomous data.(52,53) The ultimate issue is to what degree misfit affects model performance in terms of the valid scaling of individual diffe”