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Handling Missing Data in the Modeling of Intensive Longitudinal Data
Myriad approaches for handling missing data exist in the literature. However, few studies have investigated the tenability and utility of these approaches when used with intensive longitudinal data. In this study, we compare and illustrate two multiple imputation (MI) approaches for coping with miss...
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| 出版年: | Struct Equ Modeling |
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| 主要な著者: | , , , , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
2018
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| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6625802/ https://ncbi.nlm.nih.gov/pubmed/31303745 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1080/10705511.2017.1417046 |
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