1
Reliability analysis, exploratory factor analysis and item response theory-based analysis were undertaken.
2
We performed both confirmatory and exploratory factor analyses to validate the scale.
3
Subsequent exploratory factor analyses identified two, three or more factors underlying the scale.
4
Construct validity was examined using exploratory factor analysis and hypothesis testing for known associations.
5
Results: An exploratory factor analysis extracted a five-factor solution.
6
Multivariate logistic regression and exploratory factor analyses were applied to identify and rank the risk factors.
7
The underlying factor structure of a 6-item community engagement scale was determined through exploratory factor analysis.
8
First an exploratory factor analysis was conducted to examine the underlying factor structure of the TP-scale.
9
Construct validity was computed using exploratory factor analysis.
10
The survey data were analysed using exploratory factor analysis to identify the underlying dimensions in the data.
11
Cronbach a coefficients were similar and exploratory factor analysis showed similar 2-factor structures for both language versions.
12
However, whether these conclusions are statistically justified remains unclear because exploratory factor analysis does not test latent structure.
13
The scale items were analyzed using exploratory factor analysis with communalities set to unity using a Promax rotation.
14
To find underlying latent variables, we used exploratory factor analysis with principal axis factoring and oblique promax rotation.
15
Four major dietary patterns were identified by using an exploratory factor analysis based on dietary information collected at enrollment.
16
Two separate exploratory factor analyses (EFAs) using a principal component analysis and varimax extraction method were conducted.
