By using factor rotation in factor analysis- what can be used which variance will it increases decrease etc ?
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Rotations minimize the complexity of the factor loadings to make the structure simpler to interpret. ... Rotation of the factor loading matrices attempts to give a solution with the best simple structure. There are two types of rotation: Orthogonal rotations constrain the factors to be uncorrelated.
Explanation:
Partitioning the variance in factor analysis
Common variance is the amount of variance that is shared among a set of items. Items that are highly correlated will share a lot of variance. ... Values closer to 1 suggest that extracted factors explain more of the variance of an individual item.
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