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In addition, it provides several different procedures for analysis, such as the computation of means or percentages of any background variable of interest for a whole country or subgroup within a population (IEA 2012).
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Categories for the other background variables of interest are shown in Table 1.
The multiple linear regressions revealed significant associations between two background variables of language learning and ERP response dynamics.
However, background variables of TALIS are used.
For a given event and missing data, the available variable that was most highly correlated with the missing particular sample of the variable of interest was used.
IHM was the variable of interest.
The second variable of interest was SES.
Thus, all variables remained constant except the variable of interest.
We used season as predictor variable and the respective variable of interest as outcome variable.
The main response variable of interest is memory of pain.
Missing data for each variable of interest were pairwise deleted.
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