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Vera & Enders (2021) by erolfhus is a document available to read on EtoBox.

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This study investigates the effectiveness of item-level versus scale-level imputation methods for handling missing data in longitudinal growth models. The findings suggest that scale-level imputation may provide better precision in estimating growth model parameters when entire questionnaire batteries are missing, contrary to the common preference for item-level imputation. The research emphasizes the importance of considering the nature of missing data when selecting imputation strategies in longitudinal s

Author
erolfhus
Language
EN

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