While causal surveys can provide valuable insights, they are not without challenges:
Correlation vs. Causation: Just because two variables are correlated does not mean one causes the other. Entrepreneurs must be cautious in interpreting results. Bias: Sampling bias, response bias, and question wording can all distort findings. It's essential to minimize these biases to ensure accurate results. Confounding Variables: Other variables might influence the relationship between the independent and dependent variables. Identifying and controlling for these is crucial.