Which of these is a form of oblique rotation? A Equamax B Quartimax C Varimax D Promax
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An important difference between them is that they can create factors that are correlated or uncorrelated with each other. Rotations that allow for correlation are called oblique rotations; rotations that assume the factors are not correlated are called orthogonal rotations. Our graph shows an orthogonal rotation.
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(D) Promax
Promax is the form of oblique rotation.
Oblique Rotation:
- The Oblique rotation allow the factors to correlated by the allowing of the angle in between the axes to less than 90 degrees.
- Direct Oblimin and Promax methods use Oblique rotation for factor analysis.
- In the addition, ProMax is an oblique rotation that allows the
- correlated factors, which is often the more
- realistic assumption.
- If that have a two-factor solution, I suggest that you examine the correlation matrix after you reorder it, so it list the items frm
- Factor One first
- , & then the
- items from Factor two.
- Orthogonal rotations assume that the factors are not correlated whereas Oblique rotations allow correlations between the factors.
- The major difference in between orthogonal & oblique rotation is that orthogonal rotation preserves, orthogonality of factors (i.e., the correlations in between that remain equal to 0), whereas that the oblique rotation allows new factors to be correlated.
- Promax Rotation. The oblique rotation, it allows the factors to be correlated. This is rotation can calculated more quickly than the direct noblemen rotation, so that is useful for large datasets.
Hence answer is option ( D ) Promax.
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