Exact(10)
To avoid this disadvantage, formative and reflective measures can be combined to form Multiple Indicators, Multiple Causes (MIMIC) models [28].
We developed two-construct MIMIC models separating formative and reflective indicators for the major latent variables Perceived Ease of Use, Perceived Usefulness, Trust, and Adoption.
The MIMIC models for Perceived Usefulness and Trust each consist of one reflective and several formative elements representing the respective benefit and risk dimensions as depicted in Figure 2.
MIMIC models are represented diagrammatically in Figure 3.
Therefore, models with multiple indicators and multiple causes (MIMIC models) were calculated.
As a prerequisite for such analysis, model fit as judged by CFI and RMSEA was acceptable for most of the MIMIC models (see Table 3).
Similar(50)
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.
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.
For this purpose, a CFA with covariates (cf. MIMIC model; Muthén and Muthén 1998 2012) was performed, where the relationship between the dependent variables (knowledge of biochemistry and cell biology) and a single covariate (Table 1) or a set of covariates (i.e. personal characteristics of VET students; MIMIC model; Muthén and Muthén 1998 2012; Table 2) were studied.
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