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Missing observations occurred as a result of difficulties with filming or access, whole school events, and public holidays.
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If the missing observations do not occur completely at random, it can introduce potential bias into parameter estimation and decision-making in statistical models.
*Level of university education: 10 missing observations in Germany and 6 missing observations in Austria.
Third, all relevant variables are screened for missing observations.
The last observation carried forward (LOCF) was used to analyze missing observations.
*Three missing observations.
Some variables have missing observations.
cN = 3 with missing observations.
dN = 6 with missing observations.
b1, c2 and d14 missing observations.
*Between 0 3 missing observations per period.
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