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Advantages and disadvantages of the planned missing data design method in field research are discussed.
Finally, the paper illustrates ways that researchers can use intentional, or planned, missing data to enhance their research designs.
We utilized a planned missing data design to assess weight status and a broad range of psychological flexibility components in a nationally representative sample of Americans (N=7884; 3748 males, 4136 females; age: M=47.9, SD=16).
The method involves using a planned missing data design to randomly allocate participants a reduced selection of items using multiple imputation to replace the missing data and produce a complete dataset, thus retaining the full range of items across the studied population.
These limitations present an opportunity for further research, including a comparison between using the rotated booklet design with planned missing and conditions where no missingness is present.
Due to the large number of items, we implemented a planned missing data design with three booklets to evaluate our instrument (cf. Frey et al. 2009; Graham et al. 2006).
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