Your English writing platform
Discover LudwigExact(1)
To control for student academic characteristics, we constructed a generalized linear mixed-model (GLMM) to test the hypothesis that level of course structure plays a significant role in explaining the proportion of students failing each quarter.
Similar(59)
Second, to what extent is this impact influenced by factors such as the type of technological induction the students received and/or students' demographic and academic characteristics (e.g., gender, race/ethnicity, prior achievement)?
Control and comparison students of similar academic characteristics took their test the same week the experimental class took their posttest.
Second, we were interested in whether the impact of the intervention was influenced by the type of induction that student received and other student-level demographic or academic characteristics.
Following the paper "Determinanten der Schulleistung/Determinants of Academic Performance" by Schrader and Helmke (2008), we selected central, proximal predictors of student academic achievement (such as student characteristics) as well as more distal predictors (such as instructional characteristics).
Univariate analyses (t-test or chi-square) were performed to assess differences in the demographic and academic characteristics of students assigned to the main campus at Indianapolis versus students assigned to the regional campuses.
The students at 2-yr institutions have somewhat lower average ACT scores than the average for all students, but their aspirations and academic characteristics are similar to those in 4-yr colleges and universities.
Second, participating students at both 2-yr campuses shared similar academic characteristics; for example, ∼27% of the students at both campuses were science degree majors (Table 1B).
Basic academic characteristics were similar between students at both campuses of the 2-yr institution (Table 1B).
Having obtained natural clusters of student academic profiles, it is possible to discover main characteristics and relations amongst variables of interest.
"Our research demonstrates a significant link between classroom climate and student academic progress... to the degree that teachers can develop skills and characteristics that impact climate, so they can hope to more effectively motivate and engage their students" [ 9].
Write better and faster with AI suggestions while staying true to your unique style.
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