Abstract
A pedagogical tool is presented for applied researchers dealing with incomplete multilevel, longitudinal data. It explains why such data pose special challenges regarding missingness. Syntax created to perform a multiply-imputed growth modeling procedure in Stata Version 11 (StataCorp, 2009) is also described.
DOI
10.22237/jmasm/1367382480
Included in
Applied Statistics Commons, Social and Behavioral Sciences Commons, Statistical Theory Commons
