missing data – Andi Fugard (∧⇒)

Missing data in multi-item questionnaires

Useful blog post (2022, last updated 2024) by Iris Eekhout showing how to update the predictor matrix and setup passive imputation using {mice} so that:

Items are imputed using (a) other items within a questionnaire and (b) other questionnaires’ total scores.
A total score is passively imputed on each run which becomes part of the MI process.

How Many Imputations Do You Need? {howManyImputations}

“When performing multiple imputations, while 5-10 imputations are sufficient for obtaining point estimates, a larger number of imputations are needed for proper standard error estimates. This package allows you to calculate how many imputations are needed, following the work of von Hippel (2020).”

Useful example here.

References

Von Hippel, P. T. (2020). How many imputations do you need? A two-stage calculation using a quadratic rule. Sociological Methods & Research, 49(3), 699-718.