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Addressing Item-Level Missing Data: A Comparison of Proration and Full Information Maximum Likelihood Estimation

Often when participants have missing scores on one or more of the items comprising a scale, researchers compute prorated scale scores by averaging the available items. Methodologists have cautioned that proration may make strict assumptions about the mean and covariance structures of the items compr...

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Pubblicato in:Multivariate Behav Res
Autori principali: Mazza, Gina L., Enders, Craig K., Ruehlman, Linda S.
Natura: Artigo
Lingua:Inglês
Pubblicazione: 2015
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Accesso online:https://ncbi.nlm.nih.gov/pmc/articles/PMC4701045/
https://ncbi.nlm.nih.gov/pubmed/26610249
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1080/00273171.2015.1068157
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