Sentence examples for mimic model from inspiring English sources
A well-known example of this modeling framework is the Multiple Indicators Multiple Cause (MIMIC) model for testing uniform and nonuniform differential item functioning in dichotomous and polytomous items (e.g., Finch 2005; Lee et al. 2016; Woods and Grimm 2011).
The roles of mimic, model, and receiver may be juxtaposed and multiplied to provide intricate and remarkable relationships, the unraveling of which may take years of study.
For NMR Spectroscopic and CD Spectroscopic studies: The well-studied bacterial membrane mimic model were prepared through large unilamellar vesicles (LUVs) which were obtained from POPC (1-Palmitoyl-2-oleoyl-sn-glycero-3-phosphocholine) and POPG (1-palmitoyl-2-oleoyl-sn-glycero-3-phosphoglycerol) taken in the molar ratio of 3 1.
The testlet model can be considered as the bifactor Multiple Indicators and Multiple Causes (MIMIC) model.
The MIMIC model has been shown to be an effective DIF method detecting uniform DIF (Finch 2005; Woods 2009).
The bifactor MIMIC model adds a testlet factor, and each item is regressed on both target latent trait and the testlet factor.
To avoid this disadvantage, formative and reflective measures can be combined to form Multiple Indicators, Multiple Causes (MIMIC) models [28].
MIMIC modeling indicated that these factors were highly measurement invariant across drugs, settings, questionnaire versions, and sexes.
The factorial structure was examined by confirmatory factor analysis, exploratory structural equation modeling, hierarchical item clustering (ICLUST), and multiple indicators multiple causes (MIMIC) modeling.
Furthermore, measurement invariance and population heterogeneity of the new OAV scales were only examined by MIMIC modeling and not by multiple-group CFA.
The measurement invariance and population heterogeneity of these lower order factors across different drugs, settings, questionnaire versions, and sexes were examined by multiple indicators multiple causes (MIMIC) modeling.
