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Among campaign rollouts, an unexpected announcement in a random classroom would have been most peculiar.
To account for a possible clustering effect, a random classroom effect has been included in all logistic regression models, using the xtlogit command of Stata 9.2.
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Unfortunately, "a committee of 9-year-olds plucked at random from any classroom in the country could come up with better jokes" (Scott).
A committee of 9-year-olds plucked at random from any classroom in the country could come up with better jokes.
This paper examines the effect of peer turnover on academic achievement using random variation in classroom composition induced by Tennessee's Student Teacher Achievement Ratio (STAR) experiment.
The purpose of this pilot study was to evaluate TCIT in more classrooms than previously reported in the literature, with older children than previously reported, using random assignment of classrooms to TCIT or to a no-TCIT control condition and conducting all but two sessions within the classroom to enhance feasibility.
Random effects included classrooms clustered within early learning facilities.
The adjustment was analysed using a random effects model (the classroom was the grouping unit for the 4 6 pupils selected in it); following the performance of the likelihood ratio test to compare with the fixed effects model, the values obtained were χexp = 1.08 (1 g.l).l
The adjustment was analysed using a random effects model (the classroom was the grouping unit for the 4 6 pupils chosen in it); following the performance of the likelihood ratio test to compare with the fixed effects model the values obtained were χexp = 2.37 (1 g.l).l
Adjustment was analysed using a random effects model (the classroom was the grouping unit for the 4 6 pupils chosen in it); following the performance of the likelihood ratio test to compare with the fixed effects model the values obtained were χexp = 1.63 (1 g.l).l
The task is a written verbal test which is graded nonanonymously by their teacher, in a random half of the classrooms, and graded anonymously by an external examiner in the other random half of the classrooms.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com