There has been conspicuously little research concerning missing data p
roblems in the applied psychology literature. Fortunately, other field
s have begun to investigate this issue. These include survey research,
marketing, statistics, economics, and biometrics. A review of this li
terature suggests several trends for applied psychologists. For exampl
e, listwise deletion of data is often the least accurate technique to
deal with missing data. Other methods for estimating missing data scor
es may be more accurate and preserve more data for investigators to an
alyze. Further, the literature reveals that the amount of missing data
and the reasons for deletion of data impact how investigators should
handle the problem. Finally, there is a great need for more investigat
ion of strategies for dealing with missing data, especially when data
are missing in nonrandom or systematic patterns.