ex. there are two latent variables namely psychological and motivational factors of entrepreneurs. what could be possible explanation of this cov.
Hello Ahsanullah,
Theory should be driving your possible explanations. On the statistical side, the correlation of .97 implies the two constructs are near identical. That is to say, the items are measuring the same (single) construct. Are you using validated measures? Perhaps a factor analysis would be a useful first step.
Wishing you well in your research,
Tim
If it seems to refer that they are almost equal constructions, which should first consider evaluating the dimensionality of each variable.
When a confirmatory factor analysis (CFA) is carried out with more than one latent variable, it is assumed that the exogenous variables are correlated. Therefore, all the statistical packages correlate the exogenous latent variables (motivational and psychological in this case). According to the results that you provide, both factors are highly correlated (0.97), which may cast doubt on the discriminant validity of the concepts analyzed.
From a theoretical point of view, the two concepts can be grouped into one? If so, repeat the analysis considering a single factor and seven indicators and compare this model with the previous one with two correlated factors
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