Multiple Imputation for Dichotomous MNAR Items Using Recursive Structural Equation Modeling With Rasch Measures as Predictors

What is it about?

When data is missing due to specific reasons, the imputation is more complicated. This study demonstrates an application of multiple imputation for missing not at random data by modelling the missing data with structural equation modelling.

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