Sentence examples for difference between the latent from inspiring English sources

In the literature, effects that are due to differences in test design are called "mode effects," and studies describe a "difference between the latent competencies of a test-taker for two tests administered in different modes" (Kröhne and Martens 2011, p. 174).

Another useful feature of the MG-CFA with alignment implemented in Mplus is the possibility of calculating the statistical significance of the difference between the latent means.

In fact, the classical formula is directly computed from the expected difference between the latent traits in both groups and the latent trait's variance in each group, assumed to be equal.

Consequently, longitudinal invariance of the factor variances strictly implies that the ratio between the latent factor variances of men and women stays the same for each cycle and longitudinal invariance of the factor means strictly implies that the difference between the latent factor means of men and women stays the same (in standardized units) for the three cycles.

However, the differences between the latent means of the motivational constructs, and achievement should be interpreted with caution, because of the low relaibilities of some of the construct, the method effect, and low performance of students in the TIMSS 2011 mathematics achievement in the five participating countries.

Separate linear and quadratic terms of disease duration were fit for the three latent classes to allow for differences between the latent classes in the nonlinear trajectories of Larsen score over time.

The presence of incomplete or defective viral genomes during the latent CNS infections has been proposed to explain this difference between the two latent infections4.

The results indicate a substantial difference between the two latent classes.

The BM tends to overestimate sensitivity/specifity more when the difference between the two latent class increases.

The power determination using Raschpower in cross-sectional studies depends on the expected values of the following parameters: the sample size in each group, the number of items, the group effect defined as the expected difference between the means of the latent trait of each group, the item parameters and the variance of the latent trait.

In the context of a study comparing two groups of patients, the latent regression Rasch model also estimates the group effect, γ, defined as the difference between the means of the latent variable in the two groups (μ0 for group 0 and μ1 for group 1).