Which one of the following is true for factor analysis ?
Promax is oblique method
Factor analysis reduces many correlated variables to a few underlying factors. It has two stages: extraction (e.g. principal components, principal axis, maximum likelihood) and rotation, which makes the factor solution easier to interpret.
Rotation can be orthogonal (factors kept uncorrelated — Varimax, Quartimax, Equamax) or oblique (factors allowed to correlate — Promax, Direct Oblimin). Promax first runs a Varimax solution and then raises the loadings to a power to allow correlated factors, so Promax is an oblique method — this statement is true.
The other statements are false: factor analysis needs a correlation matrix that is not an identity matrix (Bartlett's test of sphericity checks that the correlations are not all zero); Varimax is a rotation method, not an extraction method; and SEM-based confirmatory factor analysis is used precisely to test hypothesised factor structures.
Hence, the answer is Promax is oblique method.
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Important Questions from Data Analysis - Teaching
Given below are two statements:
Statement I: In two tail test, 2.5% of the area of the normal curve falls on the right of 1.96 standard deviations above the mean and 2.5% to the left of 1.96 standard deviations below the mean.
Statement II: In one tail test, for testing the difference between large sample means, a z score of 1.64 is taken as Yardstick at the 5% level of significance.
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In a traditional extract–transform–load (ETL) workflow, data scrubbing performed during the transformation stage is:
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