在因子分析之前是不是必须要通过KMOKMO检验与Bartlett球形检验？
Yes. The two tests are often ud to examine the appropriateness of data for factor analysis performance. It is often suggested that KMO should be of 0.5 as a minimal level. Bartlett test should be significant.
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However, the tests are only two common (but not the only two) tests to examine the appropriateness. Additional inspections could include, as suggested, rearchers should consider the correlation coefficient matrix. I'd like to recommend you to check: 1) whether you have many coefficent values less than 0.3 - which means that the correlations between the variables are too weak to (meaningfully) factor, andhard什么意思中文意思>换约>scooter
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2) whether you have many coefficent values greater than 0.7 - which indicates that the variables are highly correated and in fact they are measuring the same aspect of a construct. This could refer to multicollinearity issues. After you inspect for the 'extreme' values of R², I suppo you would be a clearer position to answer your question:
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