Sentence examples for discrimination of parameters from inspiring English sources

Discrimination of parameters was carried out by considering their physical meaning and the adequate prediction of the experimental results.

The use of emulsions to generate microdroplets has the promise of accelerating phage selection experiments by permitting fine discrimination of kinetic parameters for binding to targets.

The proposed multi-scale model is driven by two conflicting drives: (a) completeness of functions and design parameters and (b) discrimination of functions and design parameters.

For electroreduction of diiodomethane the discrimination of elementary alpha parameter between two reduction stages was determined.

Larger variance of the latent trait implies that in case the latent variance was fixed to a constant instead of the discrimination parameters, the discrimination parameters would be higher for Neuroticism than for Extraversion.

Essential unidimensionality was supported if the Pearson correlation between the vectors of discrimination parameters under the unidimensional model and the bi-factor model was high (e.g. > 0.90) and the root mean squared difference of discrimination parameters between the two models was comparatively low [ 50].

The next to the last column in Table  6 shows the correlations between the vectors of discrimination parameters for the bi-factor and uni-factor IRT models exceed 0.95 in every case.

*These are the correlations between the vector of discrimination parameters for the bi-factor with the uni-factor Item Response Theory Graded Response Model (IRT GRM) which indicate the amount of agreement between the two models in the relationship of items to the underlying construct.

Items with a discrimination parameter of 0.5 to 2.0 and a difficulty parameter corresponding to a certain region of the ability scale (−3.0 to 3.0) provide the most information [ 45, 47].

First, a two-parameter logistic model (2PL) was fitted in which the slope, or discrimination parameter, of the item characteristic curves was allowed to vary between items [ 15].

In addition, to identify the variance of the scale the product of the discrimination parameters was fixed at 1. Allowing for such random fluctuations in difficulty and discrimination across cohorts is also referred to as the assumption of approximate measurement invariance.