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Multilevel analyses indicated that patients with higher mean levels for urge to be physically active were characterized by lower body mass index (BMI) and chronically negative affect whereas patients with higher mean levels for physical activity were characterized by lower BMI and higher dispositions for drive for thinness.
Logistic multilevel analyses indicated that hospitals explained part of the variation between patients in receiving information.
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Findings from the present study revealed significant differences in the time male and female students spent in PA as well as in some of the school- and student-level factors associated with PA. Results of the gender-specific multilevel analyses indicate schools should consider providing an alternate room for PA, especially for providing flexibility activities directed at female students.
Multilevel mixed linear regression analyses indicated that the intervention effects on mental distress and well-being did not vary by university location, course instructors, student class or the type of study.
Using a series of multilevel models, impulsivity by time analyses indicated significant differences in positive reinforcement expectancies, [F (2, 94) = 3.19, p < .05], but not in negative reinforcement expectancies, [F (2, 94) = 0.49, p = .61].61]
These results indicate that the multilevel analyses fit significantly better than the standard linear regression analyses.
Multilevel analyses of children's oral communicative competence pre- and post-test scores indicated that our intervention had a significant and moderate to large effect on the development of young children's oral communicative competence.
Pearson Chi-Squared tests indicated that proportions of practice size, practice location, gender and country of birth were similar between the records used in multilevel analyses and missing data (data not shown).
The individual indicator scores and the individual overall scores were both used in multilevel analyses [ 24].
In the multilevel analyses, the house weight (HOUSWGT) was used.
We conducted multilevel analyses to adjust for clustering of the data.
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