Using Modern Missing Data Methods with Auxiliary Variables to Mitigate the Effects of Attrition on Statistical Power
Missing data in a field experiment may arise from a number of sources. Participants may skip over questions inadvertently or refuse to answer them; they may offer an illegible response; they may fail to complete a questionnaire; or they may be absent from an entire measurement session in a longitudinal study. The last is often called wave nonresponse. Many participants who are unavailable for one or more occasions of measurement are available at later occasions. We define attrition is a special case of wave nonresponse in which a participant drops out of a study after a certain time and is no longer available at any subsequent wave of data collection.
KeywordsAuxiliary Variable Full Information Maximum Likelihood Artificial Data Main Dependent Variable Intervention Scientist
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