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One theoretical feature that makes item response theory ( IRT ) models those of choice for many psychometric data analysts is parameter invariance , the equality of item and examinee parameters from ...
, & Wollack, 2001 ; De Boeck, Wilson, & Acton, 2005 ; Embretson, 2007 ; Mislevy & Verhelst, 1990 ; Rost, 1990 ). Traditional IRT models are defined by several assumptions: unidimensionality , invariance , local ...
analyzed as five disease groups: arthritis, cardiovascular, CKD, diabetes, and respiratory. Unidimensionality , item parameter and scale-level invariance , reliability, validity and responsiveness to change ...
Information Function (TIF). Another advantage of IRT is latent trait estimation. In IRT , latent trait scores can be estimated by using the model parameter estimates by searching for values that maximize ...
of a two- parameter versus a one- parameter logistic (2PL vs. 1PL) IRT model . The results of a chi-square test of difference suggested that a two- parameter model with varying slopes had a better fit than a one ...
of linking methods [13, 25]. Lord and Wingersky (1984) pointed out that although the results of true-score linking methods–such as those based in item response theory ( IRT )–can be subpopulation invariant , true ...
unidimensional and suitable for the main analysis. Next, we conducted IRT analyses in IRT -LR-DIF (Thissen, Steinberg, & Gerrard, 1986) using Samejima’s (1969) graded response model to determine as anchor items ...
in the student sample or presenting problem in the clinical sample. Given that IRT parameters are generally invariant and not sample-dependent (Embretson & Reise, 2000; Zickar & Broadfoot, 2009), and IRT analyses ...
active Czech university students. First, we examined the dimensionality of a Czech translated version of the SMS using nonparametric item response theory ( IRT ) models and then tested the instrument’s ...
by the psychometric instrument. For the IRT analysis, we employed the Rating Scale Model (RSM) [49] to determine the parameters of difficulty and discrimination in the DFS-BR. We used the Mirt package [50] to calculate ...
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