… Incomplete data are of particular important influence in … Incomplete items of psychometric
scales are a commonly … the statistics obtained by multiple imputation are the integration …

… [3] examined the influence of the booklet design on the Mantel-Haenszel (MH) method in …
with the multiple imputation (MI) procedure. Random draws of item responses are generated …

… (MIM), with other methods based on multiple imputation. In this context, we present a fully …
on the number of items (J) and the proportion of missing data. This effect is illustrated in Figure …

… Within psychometric literature, there are also modeling … the most influential factors across all
conditions in our study, yet … multiple imputations of PPI and PMI by replacing missing values …

… , MLE, or WML scores for those who did not take any items. However, the average overall …
coded background questionnaire items as predictors. PVs are multiple imputations that are …

… in the data (eg, higher or lower scores on certain items) as … the application of different multiple
imputation (MI) strategies … further insight into the psychometric properties of methods that …

… - (EM-), and multiple imputation estimates. Higher age and … ) participant’s responses influence
the composition of the study … relationship between the psychometric properties of scales (…

… a minor role in choosing psychometric models in large-scale … ξ p , there is no modeled effect
of the item response on the … employing a multiple imputation approach of item responses. …

… refuse to answer certain questions for fear that their anonymity … results (RDs) for factor loading
or threshold(s) across items … test statistic obtained from complete data for the same effect …

… spring semesters of grades 1 and 2) if the psychometric properties of … C to examine its
influence on the five MI-based tests of … items poses severe challenges for multiple imputation. We …