answersLogoWhite

0

When analyzing variables that cannot be easily measured, it's important to use qualitative methods such as surveys, interviews, or expert opinions to gather insights. Additionally, employing proxy variables or indirect measures can help estimate the unmeasurable aspects. Utilizing models and simulations can also provide a framework to understand the relationships between variables, allowing for informed assumptions and predictions. Lastly, sensitivity analysis can help identify which unmeasured variables might have the most significant impact on the outcome.

User Avatar

AnswerBot

1d ago

What else can I help you with?

Continue Learning about Math & Arithmetic