ABSTRACT
It is inevitable that empirical research will result in missing data-that is, information that researchers intended, but were unable, to collect. Thus, the issues raised by missing data are as old as empirical research itself. However, statisticians’ awareness of these issues, and the approaches they have taken to address them, have changed and developed steadily since the 1950s. Advances in computing power and associated software mean that many of these developments are now readily available to quantitative researchers, who are at risk of being overwhelmed by the choices available.
