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Missing data are commonly encountered problem in longitudinal research. One way researchers handle missing data is through the use of supplemental samples (i.e., the addition of new participants to the original sample after missing data appear at the second or later measurement occasion). Two types of supplemental sample approaches are commonly used: a refreshment approach (additional participants are randomly selected from the population of interest) and a replacement approach (additionaldoi:10.6084/m9.figshare.12867174.v1 fatcat:bdzysenx2rbwbfpnwamixvirre