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We explored imputation methods for missing scores for this instrument.
In dbNSFP, we reported imputed scores for missing scores (see Missing Data and Imputation).
Therefore, we chose to impute values for missing scores according to specific criteria (see below).
An advantage of having multiple prediction scores for the same NS is that it facilitates better imputation for missing scores.
We used SPSS MVA, Expectation Maximization [ 45] to impute values for missing scores on the continuously distributed SCL-5 and RS scales.
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He criticized himself for missing scoring chances.
Therefore we also calculated the proportion of missing scores for each questionnaire.
The same degree of missing scores for this scale was observed in the French sample.
Imputation of missing scores for approximately 7% and 23% of patients at weeks 14 and 104, respectively, had the potential to result in the generation of data outliers, which in turn impact mean values in groups of limited sample size.
The OECD, which runs Pisa, says it calculates "plausible values" for the missing scores, and this is a standard statistical device.
Secondly, these mean values were compared to those for all subjects after missing scores (for many) were imputed using relevant available (non missing) information.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com