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In Study 4, we replicated the findings from Study 3, using a multilevel sample (92 secondary teachers, 2749 students), a longitudinal research design, and student measures of teachers' motivating styles.
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Because the study used a multilevel sampling system, correlation among levels of sampling (classroom, school, and zone) were calculated using intraclass correlations in a random effects model.
Using a multilevel approach on a representative sample of the invited population, the French study found that after adjustment for individual factors (age, sex, insurance coverage, and Townsend score), participation was lowest in the most deprived neighbourhoods.
They were conducted using a multilevel modeling (MLM) framework.
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Income as an outcome was modelled using a multilevel regression.
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Data were analyzed using a multilevel statistical model.
Statistical significance was determined by using a multilevel analysis.
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