Sentence examples for secondary dimensions from inspiring English sources

Therefore, eigenvalues less than 2.0 for secondary dimensions support the unidimensionality assumption.

Results of the PCA of the residuals of the TRC-e final test forms revealed that all the secondary dimensions had eigenvalues less than 2.0.

Results of the PCA of the residuals of the TRC-n final test forms revealed that all the secondary dimensions had eigenvalues less than 2.0.

The suspect subtest consists of those items suspected of measuring the primary and secondary dimensions; and the matching subtest contains items believed to measure only the primary dimension.

The researcher proposes an optimal performance model for addressing the issue of language proficiency level: (a) two primary dimensions; fluency and accuracy; and (b) two secondary dimensions; complexity and lexical variety.

Secondary dimensions are further categorized as either auxiliary dimensions that are part of the construct intended to be measured or nuisance dimensions that are not intended to be measured.

A second aspect of interpretation is to identify vectors aligned with the primary dominant dimension (Dim 1), and those aligned with the secondary dimension (Dim 2).

DIF occurs 1) if an item is sensitive to both the primary dimension and a secondary dimension and 2) if the reference and focal groups that have been equated on the primary dimension differ in distribution on a secondary dimension (Rousos and Stout 1996a).

The general cause of DIF is that test items measure "at least one secondary dimension in addition to the primary dimension the item is intended to measure" (Roussos and Stout, 2004, p.108).

While the peaks may appear relatively broad in comparison to C18 reversed-phase chromatography, WCX-HILIC affords a secondary dimension of separation based on the methylation status (Fig. 3b), separating multiple methylated isoforms that contain the same number of acetylations.

While principal component analysis (PCA) of residuals identifies potential secondary dimension that distorts the measurement of the latent trait (Linacre 2014), it assists unidimensionality assessment through variance explained by Rasch's modeling measures.