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Parallel analysis of RNA ends.
Parallel analysis suggests that five PCs capture most variations.
Parallel analysis was performed using the Factor program, version 9.2 (Lorenzo-Seva & Ferrando 2006).
Parallel analysis is applied to find that six PCs enough capture most variations.
Parallel analysis, Kaiser's criterion and the scree test were used for factor extraction.
Parallel analysis for differentiated NS derived from adult NS gave similar results (data not shown).
Parallel analysis involves comparing observed and random eigenvalues.
Parallel analysis was conducted to identify how many components should be extracted from the model.
Parallel analysis indicated retention of three subscales: Attitude, Disclosure and Help-seeking, and Social Distance.
Parallel analysis is one of the most accurate approaches to estimating the number of components [ 24].
Parallel analysis was performed with a finite element model controlled trial and a case control study.
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