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Data were analyzed using multiple regression and principal components analyses.
Principal components analyses revealed two components in each context: metacognitive awareness of shifting and shifting competence.
The correlations between the monitored variables were analyzed and visualized through principal components analyses (PCA).
We present the results of principal components analyses and the construction of the rape avoidance inventory (RAI).
Several validation studies of the FCQ using principal components analyses (PCA) have shown one-, twor, or four-factor solutions.
Three neighborhood walkability factors emerged from principal components analyses of block-group measures derived from the U.S. Census.
Statistical analyses (principal components analyses: PCA) were used to provide four theoretical patterns on vegetation distribution in Mediterranean belts during the Upper Pleistocene and the Late Holocene.
Item-level principal components analyses identified general interest, prestige, and sex-type dimensions, rather than Prediger's (1982) People/Things and Data/Ideas dimensions.
Principal components analyses were used to assess the factors underlying responses to questions about landholders' management objectives, trust of others and use of information sources.
Several principal components analyses were undertaken and associations were examined between HPS items and scores on a measure designed to identify bipolar disorder – the Mood Swings Questionnaire (MSQ).
Only the ATI (2 constructs), FSSE (9 constructs), HERI (11 constructs), and PIPS (2 or 5 constructs) have documented analyses of how items grouped together in factor or principal components analyses.
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CEO of Professional Science Editing for Scientists @ prosciediting.com