Multiple Imputation for Dichotomous MNAR Items Using Recursive Structural Equation Modeling With Rasch Measures as Predictors
Missing Not at Random (MNAR) data present challenges for the social sciences, especially when combined with Missing Completely at Random (MCAR) data for dichotomous test items. Missing data on a Grade 8 Science test for one school out of seven could not be excluded as the MNAR data were required for...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
SAGE Publishing
2018-02-01
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| Series: | SAGE Open |
| Online Access: | https://doi.org/10.1177/2158244018757584 |