I’m conducting an evaluation study in higher education on a strategy with underlying strategic subgoals. These subgoals have much in common. These all strive for competency based learning and more flexible learning programs. The sub goals are assessment of competencies, feedback on competencies etc. My correlation matrix shows high correlations, which considering the nature of the subgoals, is to be expected. Are high correlations in this case necessarily bad?
When you expect that the subgoals have much in common – either because they are measures of the same construct or are causally related – a high correlation reflects what you expect. You could also do a factor analysis in order to check how strongly they load on a single underlying factor.