Why is Multicollinearity a Concern in Nursing Research?
Multicollinearity can inflate the standard errors of the coefficients, leading to less reliable estimates. This can be particularly problematic in nursing research where precise and accurate data interpretation is crucial for making informed decisions about patient care. Additionally, multicollinearity can make it difficult to determine the individual effect of each predictor variable, complicating the understanding of causal relationships.