Sentences with phrase «indicate factor loadings»

One - way and two - way arrows indicate factor loadings and between - factor correlations, respectively.

In the figure, left sided arrows indicates the factor loading which is mentioned in Table 4 and right sided arrows show the R2 while reciprocated arrows depicts the covariance between items.

Not exact matches

The multiple linear regression indicates how well the returns of the given assets or a portfolio are explained by the Fama - French three - factor model based on market, size and value loading factors.

Like other commonly used scales of nonspecific distress, the questions in the K10 / K6 scales all have high loadings on a first principal factor of nonspecific distress in factor analyses carried out in general population samples.8 This factor is indicated by a heterogeneous set of questions that define behavioral, emotional, cognitive, and psychophysiological manifestations of psychological distress.

However, some of the items only weakly described one of the factors as indicated by the low factor loadings (< 0.3); therefore, reconsideration of the items may be necessary in the future.

In Study 1, but not Study 3 exploratory factor analyses indicated item 14, can't do part of the test, did not load on any factors.

Bold indicates significant primary loading in EFA and weaker factor loadings for Specific factors in Bifactor EFA.

Maximum likelihood exploratory factor analysis from administration in this sample indicated the items loaded on one factor, which accounted for 51 % of the sample variance.

The exploratory factor analyses in Study 3 indicated that almost all items had the highest factor loadings on the factors corresponding to their respective MDI scales.

For the Attention construct, alpha was improved by relocating an item from the Inhibitory Control scale that has been previously demonstrated to load with the Attention items in published factor analysis of the full scale.32 These modifications are indicated by ‡ in table 1 (and online supplementary table 1 - X), and detail on the revised scales included in table 4 (and online supplementary table 2 - X).

If (a) a structural equation model indicates that the direct - estimation items and the traits load on separate latent factors, and (b) these two latent factors both predict romantic interest, we would be persuaded that the direct - estimation items are measuring (and predicting) something important.

The slope factor mean, M = 0.41, p < 0.05, suggested an increased in frequency of marijuana use over time for marijuana users, with a sharp increase between W6 and W7 as indicated by the factor loadings.

The result indicated a three - factor structure loading the positive quality items (1 — 5) to the first, the negative quality items (6 — 8) to the second, and the shared activity items (9 — 13) to the third factor.

Results from the exploratory factor analysis indicated that eight items loaded on two factors (only two factors had eigenvalues > 1.0).

The slope factor mean, M = 0.88, p < 0.01, and factor loadings indicated an increase in the probability of use that was particularly pronounced between W6 and W7.

The one factor solution with high factor loadings (from.64 to.84) indicated that this was the case; thus, a composite score for harsh parenting was computed (alphas ranged from.73 to.81).

Fit indices obtained through Confirmatory Factor Analysis indicated that the six - factor structure of the DERS fit the data adequately and that most items loaded strongly on their respective latent fFactor Analysis indicated that the six - factor structure of the DERS fit the data adequately and that most items loaded strongly on their respective latent ffactor structure of the DERS fit the data adequately and that most items loaded strongly on their respective latent factorfactor.

Factor analysis of the 12 items (Table I) indicated a single - factor solution, with all items loading a single factor having an eigenvalue of 6.2 (all other factors had an eigenvalue of < 1.0), accounting for 51.3 % of the varFactor analysis of the 12 items (Table I) indicated a single - factor solution, with all items loading a single factor having an eigenvalue of 6.2 (all other factors had an eigenvalue of < 1.0), accounting for 51.3 % of the varfactor solution, with all items loading a single factor having an eigenvalue of 6.2 (all other factors had an eigenvalue of < 1.0), accounting for 51.3 % of the varfactor having an eigenvalue of 6.2 (all other factors had an eigenvalue of < 1.0), accounting for 51.3 % of the variance.