Editing Factor analysis (section)

====Problems with factor rotation====
It can be difficult to interpret a factor structure when each variable is loading on multiple factors. 
Small changes in the data can sometimes tip a balance in the factor rotation criterion so that a completely different factor rotation is produced. This can make it difficult to compare the results of different experiments. This problem is illustrated by a comparison of different studies of world-wide cultural differences. Each study has used different measures of cultural variables and produced a differently rotated factor analysis result. The authors of each study believed that they had discovered something new, and invented new names for the factors they found. A later comparison of the studies found that the results were rather similar when the unrotated results were compared. The common practice of factor rotation has obscured the similarity between the results of the different studies.<ref name="Fog2022">{{cite journal |last1=Fog |first1=A |title=Two-Dimensional Models of Cultural Differences: Statistical and Theoretical Analysis |journal=Cross-Cultural Research |date=2022 |volume=57 |issue=2–3 |pages=115–165 |doi=10.1177/10693971221135703|s2cid=253153619 |url=https://backend.orbit.dtu.dk/ws/files/292673942/Two_dimensional_models_of_culture.pdf }}</ref>