Weights are crucial for several reasons. They help to:
Correct for sampling bias when certain groups are overrepresented or underrepresented in the study sample. Adjust for non-response bias by compensating for differences between respondents and non-respondents. Facilitate the comparison of data across different populations or time periods by standardizing results. Enhance the accuracy of estimations and inferences made from the data.
