Sampling weights are adjustments applied to survey data to ensure that the results accurately represent the population from which the sample was drawn. These weights help correct any biases that may arise due to the sampling process, especially in designs like multistage sampling where certain groups might be underrepresented or overrepresented. By using sampling weights, researchers can enhance the precision and validity of their findings, leading to more reliable conclusions when analyzing diverse populations.
congrats on reading the definition of sampling weights. now let's actually learn it.