Dear Sabri

in the Social Sciences, it is very hard to justify why one should not use oblique rotation. Oblique rotations automatically "default" to orthogonal rotations if the factors extracted to not correlate with each other.

Some examples would be measures of optimism, self-efficacy, classroom management, political participation and so on and so forth.

Kind regards

Marcel

Hi Dr. Erdem;

Chadha (2009) explains this issue in the simplest way.

" For the purpose of simplifying the interpretation of the obtained factors and also to increase the number of high and low positive loadings in the column of factor analysis, a procedure is used which is known as factor rotation. There are two basic methods, (a) Orthogonal rotation and (b) Oblique rotation. Orthogonal rotation method is employed when we have factors that are not correlated with one another, while the oblique rotation method is employed when the obtained factors are related to one another. Factor analysts like Guilford prefer orthogonal rotation, while Thurstone/Cattell prefer oblique rotation."

Chadha, N. K. (2009). Applied psychometry. SAGE Publications India.

Best Regards.