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Political Violence and Trauma in Argentina demonstrates through a groundbreaking multilevel analysis the process by which different historical strands of violence coalesced during the 1970s into an all-out military assault on Argentine society and culture.
In this cross-classified multilevel analysis the two highest levels (origin and destination) are non-hierarchical, while the lower hierarchical level is the pupil-level.
For the purpose of this study, we used in our multilevel analysis the student-level and school-level indexes or derived variables that IEA computed from responses on the student, home, and teacher questionnaires.
With multilevel analysis, the covariates are analysed without aggregation or disaggregation (e.g., Snijders & Bosker, 1999).
In this multilevel analysis, the only individual-level variables to remain independently associated with TB clustering were foreign-born and race after inclusion of all covariates.
With logistic multilevel analysis the response of both parents on each assessment as a binary dependent variable (parent did or did not complete questionnaire) was examined.
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Table 4 shows the results of the multilevel analysis for the DMFT caries Index.
Table 3 shows the results of the multilevel analysis for the number of decayed teeth (dependent variable).
Table 2 presents the results of the multilevel analysis for the association between urban area disadvantage and under-5 mortality.
Thus, this technique makes it possible to investigate simultaneously variables measured at student level (the first level of the multilevel analysis) and the impact of some relevant school characteristics on student achievement (second level of the multilevel analysis).
Hence, the multilevel analysis is the appropriate method for such cases.
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