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In the first phase of data analysis, exploratory factor analysis was performed, implementing the FACTOR 9.2 program [ 46] to determine the dimensional structure of the scale.
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The meta-analysis was performed implementing pure-birth models, which were favored over a birth-death process with a Bayes factor value of 3.46.
By-person factor analysis was performed using the centroid method.
Statistical analysis such as correlation matrix and factor analysis was performed using the IBM SPSS Statistics.
Factor analysis was performed on the three measures of leakage and age for all patients over age 50.
Common factor analysis was performed in IBM SPSS with a fixed number of factors, as identified by the parallel analysis.
Factor analysis was performed to reduce anthropometric dimensions.
Confirmatory factor analysis was performed.
Factor analysis was performed for two measures.
An exploratory factor analysis was performed.
Exploratory principal component factor analysis was performed.
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