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Download full textVanhove, Jan – Studies in Second Language Learning and Teaching, 2015
I discuss three common practices that obfuscate or invalidate the statistical analysis of randomized controlled interventions in applied linguistics. These are (a) checking whether randomization produced groups that are balanced on a number of possibly relevant covariates, (b) using repeated measures ANOVA to analyze pretest-posttest designs, and…
Descriptors: Randomized Controlled Trials, Intervention, Applied Linguistics, Statistical Analysis
Direct linkCreech, Leah Renee; Sweeder, Ryan D. – CBE - Life Sciences Education, 2012
This study examined the historical performance of students at Michigan State University in 12 life sciences courses over 13 yr to find variables impacting student success. Hierarchical linear modeling predicted 25.0-62.8% of the variance in students' grades in the courses analyzed. The primary predictor of a student's course grade was his or her…
Descriptors: Academic Achievement, Majors (Students), Grade Point Average, Biochemistry
Roberts, J. Kyle – Learning Disabilities: A Contemporary Journal, 2004
The following article provides a brief primer and overview of multilevel and hierarchical linear modeling. The school-effects model with random effects is illustrated with a heuristic dataset. Finally, recommendations are presented for researchers studying learning disabilities who would like to utilize this methodology.
Descriptors: Hierarchical Linear Modeling, Heuristics, Learning Disabilities, Correlation
