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Participants with missing values exceeding 10% of all items were excluded from further data analyses.
Eighty-five wexcludeduded because they dropped out of the study, and sixty-one were excluded because of missing values exceeding 10% in the questionnaire.
The items were eliminated in cases of missing values exceeding 5%, high inter-item correlation (r > 0.70), or floor or ceiling effects, homoegeneously answered on response levels (over 70% for one response level).
Forms with missing values exceeding 7 items (30%) of the DHI-N total or exceeding 30% of the items in a DHI-N sub-domain, were excluded from analysis.
Items were eliminated during the reduction phase with missing values exceeding 5%, high inter-item correlation (r >0.80), floor or ceiling effects over 70%, or an absolute value of skewness exceeding 4.0.
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Previous studies had no items whose missing values exceeded 13% [ 5, 13, 29, 33].
If the number of missing values exceeds 10% in one of the groups, multiple imputations will be used to estimate the missing values.
If the rate of missing values exceeds the predefined maximum, the available data are considered of no value and omitted from any analysis.
For those children with missing values not exceeding one measurement, the nearest neighbour imputation was used in the longitudinal analyses.
The percentage of missing values did not exceed 0.6% in any other categories.
However, the percentage of missing values did not exceed 3.1%, indicating a tolerable lack of information.
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