Examining the Effects of Language Competencies on Academic Achievements of Special Needs Students and Their Peers Using Standardized Test Scores

The purpose of this study is to investigate the impact of academic language on the standardized test scores of special needs students and their peers in elementary (n = 1140) and middle (n = 451) public schools across the state of Georgia. Several univariate (ANOVA) and multivariate (MANOVA) analyses of variance are conducted on student classification (English language learners “ELL”, non-ELL, students with disabilities “SWD,” non-SWD, economically disadvantaged students “EDA”, and non-EDA) and student test scores in ELA, math, science, and social studies. Univariate (ANCOVA) and multivariate (MANCOVA) analyses of covariance are also conducted where ELA is treated as a predictor of students’ test scores in math, science, and social studies. MANOVA results reveal that the combined-subjects modeling of student test scores is significantly different by student classification with relatively large effect sizes (0.44 to 0.63) for all grade levels. Follow-up ANOVAs indicate that individual modeling of core subjects is significantly different by student classification, with effect sizes between 0.37 and 0.61. The results of ANCOVA and MANCOVA suggest a statistically significant effect of ELA on student test scores results. SWD and ELL groups benefit the most when controlling ELA test scores.