The design effect is a measure used in statistics to quantify the extent to which the design of a study, particularly in complex survey sampling, increases the variance of an estimator compared to simple random sampling. It reflects how much the clustering or stratification in a sample design affects the precision of survey estimates, guiding researchers in adjusting sample sizes and analyzing data accurately.