To gain more insight into the structure of the overall self - regulation scale and its subscales,
we performed confirmatory factor analyses using LISREL 8.80 (Jöreskog & Sörbom, 2007).
Not exact matches
The statistical
analyses were
performed using STATA 13.1 (StataCorp, College Station, TX), and the
confirmatory factor analyses were
performed using LISREL 8.8.
Afterward,
confirmatory factor analyses using the 11 items of the PNS - J as indicators were
performed to examine whether the two -
factor model — 4 items loaded on the Desire for Structure
factor and the other 7 items loaded on the Response to Lack of Structure
factor — fits the data better than the one -
factor model.
Additionally,
confirmatory factor analyses using parceling techniques, which aggregate several items into parcels, were
performed.
Upon identifying the latent
factors of RBC via exploratory
factor analysis,
confirmatory factor analysis was
performed on another sample of three hundreds and twenty - five students in a psychology course in order to validate the
factors found.
In order to test the fit of the structure in the data to the theoretical model, a
confirmatory factor analysis was
performed.
To evaluate the short - scale of the CCI - D item
analysis, reliability
analysis,
confirmatory factor analysis and concurrent correlation
analysis were
performed.
Multiple group
confirmatory factor analyses were
performed in order to elucidate MI across a variety of occupational groups.
Note: The correlations were computed from a
confirmatory factor analysis performed with full - information maximum likelihood (FIML) estimation in AMOS 5.0.
Confirmatory factor analysis (CFA) was
performed on the remaining half sample using structural equation modeling.
Confirmatory factor analyses were
performed on the GBE responses to study the hypothesized three criterion success
factors.
We
performed, as a preliminary
analysis, a
confirmatory factor analysis on the SCL items by using structural equation modeling (SEM) to reduce the information entailed in the nine items of the scale into a reduced number of
factors.