Sentence examples for model one factor from inspiring English sources

He rates the stock as "outperform" which, Mihalos says, reflects Visa's "superior growth profile relative to group, as well as the defensiveness of its business model". One factor that continues to bode well for Visa is the "improved consumer investing," according to Mihalos.

To be able to uniquely estimate other parameters in the model, one factor loading for each latent variable was set to 1.

Given that Frazier et al. [ 33] validated the two-factor model of ASD proposed by DSM-5 [ 6] based on data from a large sample of children and adults, we tested whether the two-factor model (one factor comprising 53 social-communication [SC] items and another comprising 12 autism mannerisms [AM] items) has a good fit.

To solve the resulting scale indeterminancy issue caused by estimating the variances of the exogenous variables in the above model, one factor loading for each latent construct was fixed to 1 (Item # Relieve for Effectiveness; Item # To Plan for Convenience; Item # Overall for Global Satisfaction) [ 24].

However, a subsequent confirmatory factor analysis (CFA) that compared (a) a theoretically derived three-factor model (one factor for each of the belief types; Clark & Wells, 1995), (b) the empirically derived two-factor model (from the exploratory factor analysis), and (c) a parsimonious one-factor model suggested that the three-factor model was the best-fitting model (Wong & Moulds, 2011a).

In the model, one factor that limits the size of the initial reward bias is initial variability in the activations of the accumulators (see Figure 12).

A likelihood ratio test (LRT), then, was used to compare a more complex model (the retained factor solution) with a simpler model (one-factor solution).

Referring to our theoretical assumption of four problem-solving factors, we only tested whether or not the four-dimensional model outperformed the model with one factor.

Model 2 was a single-factor model with one factor responsible for all 15 item responses.

In the multivariate extension we use the common path way model to distinguish between the measurement model (a phenotypic one factor model) and the biometric model (McArdle and Goldsmith 1984; Kendler et al. 1987; Franić et al. 2011).

In the model one latent factor (F, represented by a circle) influences on all observed AP measures (represented by squares), explaining the shared variance across ages and raters.