Sentence examples for between school level and from inspiring English sources

In addition, the interaction between school level and school size was tested.

The association between school level and outcome variables were analysed by a log linear regression.

For example, the association between school level and content of the soft drink vending machines was OR = 1.42, 95%CI: 1.05-1.93 in the crude analysis and OR = 1.35, 95%CI: 0.99-1.85 in the adjusted analysis.

Because school size was associated with school level and with a number of outcome variables, all associations between school level and the outcome variables were adjusted for school size.

For example, the association between school level and the action 'the canteen offers a wide variety of healthy foods' was OR = 0.61, 95%CI: 0.41-0.91 in the crude analysis and OR = 0.84, 95%CI: 0.56-1.27 in the adjusted analysis.

In addition, we used Chi-square tests to examine any differences in past behaviour between school levels and conditions, and one-way ANOVA tests to conduct additional analyses for counterarguing and perceived persuasive intent.

The association between the school level and the outcome variables were analysed by a log linear regression, because the probability of most outcome variables was relatively high.

Chi-square test for linear trend was used to assess differences between school level (first, second or third), BMI (underweight, average-weight and combined overweight and obese) and self-esteem (positive, normal and negative).

If unconditional models reveal that less than 10% of systematic variance exists at the between State or between school level for any outcome variable, HLM will be abandoned and single-level analyses will be used [ 67].

If unconditional models reveal that less than 10% of systematic variance exists between school level for any outcome variable, HLM will be abandoned and single-level analyses will be used [ 4].

We looked for a relationship between the response rate at school level and the difference between the proportion of students in the lowest quartile and the national average of 25%, using univariate linear regression.