Sentence examples for factor analyses showed from inspiring English sources

Exploratory factor analyses showed a four-factor model of dysfunctional attitude scale.

The influence factor analyses showed that the important influence factors were city location, floor area, CDD and water heater type.

Confirmatory factor analyses showed that the one-factor model obtained a good fit for the GPQ-18 and acceptable for the GPQ-9.

Confirmatory factor analyses showed that, although SD and SR latent factors correlated significantly, a two-factor solution provided an acceptable fit for the results.

In Studies 1 and 2, results of confirmatory factor analyses showed that the fit indices for the 21-dimension model were poor and that seven items displayed low factor loadings.

Initial confirmatory factor analyses showed that parental ratings of 209 children and youth with dyslexia in a family genetics study loaded onto factors for Inattention (Self-Regulation of Covert Attention based on two indicators Focused and Goal-Directed Attention) and Hyperactivity (Overt Behavior based on two indicators Motor Control and Inhibition); neither indicator is correlated with age.

The results of the factor analyses show that all items in both data sets are significantly related to the underlying constructs that they were hypothesized to measure, and not to other constructs.

These factor analyses show that the issues are well coordinated.

The factor analyses show that the items were representative of six underlying factors (i.e., coworkers, work demands, work content, work load, work skills, and rewards).

The ARQ scales identified in the factor analyses show notable conceptual similarity to the constructs initially proposed for measurement (drawn from the resilience literature and focus groups).

The results from the factor analyses (both Exploratory Factor Analyses and Confirmatory Factor Analyses) show good support for the proposed structure together with an overall higher-order factor for each scale of the measure.