selection models

Selection models are statistical tools used to analyze situations where the data collected is not random but selectively chosen based on certain criteria. For example, if you survey only those who volunteered to participate, your results may not represent the whole population. Selection models help researchers understand and correct for this bias, ensuring that the conclusions drawn are more accurate and reflective of the larger group. Essentially, they provide a framework to account for missing or unequal data by modeling how and why certain observations were chosen.