1999
DOI: 10.1007/bf02294296
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Modification indices for the 2-PL and the nominal response model

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Cited by 136 publications
(194 citation statements)
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“…Both the 28-and 38-joint counts of tenderness and swelling had to fit the GPCM before the contribution of the forefoot joints could be analyzed. This fit was analyzed with Lagrange Multiplier Q1 tests (15), where absolute effect sizes of Ͻ0.10 were seen as an indication of good item-model fit (16,17).…”
Section: Methodsmentioning
confidence: 99%
“…Both the 28-and 38-joint counts of tenderness and swelling had to fit the GPCM before the contribution of the forefoot joints could be analyzed. This fit was analyzed with Lagrange Multiplier Q1 tests (15), where absolute effect sizes of Ͻ0.10 were seen as an indication of good item-model fit (16,17).…”
Section: Methodsmentioning
confidence: 99%
“…The rationale of this test was to partition the latent PF continuum into a number of segments and to evaluate whether the item characteristic curve of an item conformed to the form predicted by the model in each of these segments (9). These statistics can be used to identify misfitting items and together provide a test of overall model fit.…”
Section: Significance and Innovationsmentioning
confidence: 99%
“…In this model, both time points are represented by distinct, correlated dimensions, and patients are described by 2 timepoint specific structural damage scores (u T1 and u T2 ), but the item parameters are constrained to be equal over time so that each joint is characterized by 1 International Classification of Functioning, Disability, and Health category that traces the probability that structural damage is present as a function of u. To evaluate the fit of this model, Lagrange Multiplier statistics and accompanying effect-size statistics were obtained, described in detail elsewhere (11). Essentially, the Lagrange Multiplier test evaluates whether item parameters are invariant across the subsample of patients with low, medium, and high total scores.…”
Section: Methodsmentioning
confidence: 99%