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Overall, Model 5 with the combined home-related variables was more efficient than Models with singular home-related variables in predicting mathematics achievement for students in Chinese Taipei.
Table 5 provides descriptive statistics for the 17 variables that were derived for this dissertation study.
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At each level, the weighting component is the inverse of the probability of selection at that level and includes an adjustment for nonparticipation.
Description: Therefore, those two variables were examined in separate exploratory models rather than being included in the HLM models of this study.