factor analyse


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Synonyms for factor analyse

to perform a factor analysis of correlational data

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In the explanatory factor analyses conducted in the initial validation studies, 3rd, 23rd and 32nd items were excluded that factor loadings of these items were low or complex which did not clearly load on a certain component (12,18).
Factor analyses were conducted by first performing a principal components analysis (PCA) using PASW Statistics Version 17.
factor analyses to test four models, with three models receiving modifications (including the correlation of residual errors within and between factors) to produce the final fitting model The final model supported the 5Cs and a hierarchical construct that reflected PYD; the model provided an excellent fit for the data ([chi-square] [134] = 552, p < .
The results of the analyses using percentages and factor analyses are used.
After randomly splitting the total sample into two sub-samples, identical factor analyses showed that these two factors were highly stable in the two random sub-samples (coefficients of congruence = .
The results of the factor analyses indicate that the Epistemological Scenario is a reliable assessment of epistemological beliefs when measuring beliefs within a specific domain.
Two exploratory factor analyses with principal axis extraction were first conducted to investigate the structure of the importance ratings of the items and reduce the number of potential items.
Exploratory and confirmatory factor analyses revealed that the item people believe that mental patients are as intelligent as others lacked commonality with the other seven items; it was therefore dropped from further analyses.
exploratory factor analyses and coefficient alpha) to assess the psychometric properties of our measurement scales.
To overcome this difficulty we used principal components and confirmatory factor analyses for binary data (Muthen 1989).
Because the items were categorical rather than continuous, we first computed polychoric correlations and the corresponding asymptotic covariance matrix for the items and used these matrices as input for the confirmatory factor analyses.
Subsequent factor analyses supported the three-factor model of the Academic Hardiness Scale (AHS).
In these studies, data are analyzed on several different levels including simple comparisons of treatment groups, linear regression analyses of day-by-day CAPs parameters versus responses, and factor analyses of CAPs elemental data in relationship to biologic outcomes to identify potentially harmful components of ambient particulate matter.
Using Varimax rotation, the factor analyses of the composite experiential (panel A) and composite cognitive variables (panel B) both yield single factors where the eigenvalues exceed one.