Stevens Joseph J, Schulte Ann C
1 Department of Educational Methodology, Policy and Leadership, College of Education, University of Oregon, Eugene, USA.
2 T. Denny Sanford School of Social and Family Dynamics, Arizona State University, Tempe, USA.
J Learn Disabil. 2017 May/Jun;50(3):261-274. doi: 10.1177/0022219415618496. Epub 2016 Aug 3.
This study examined mathematics achievement growth of students without disabilities (SWoD) and students with learning disabilities (LD) and tested whether growth and LD status interacted with student demographic characteristics. Growth was estimated in a statewide sample of 79,554 students over Grades 3 to 7. The LD group was significantly lower in achievement in each grade and had less growth than the SWoD group. We also found that student demographic characteristics were significantly related to mathematics growth, but only three demographic characteristics were statistically significant as interactions. We found that LD-SWoD differences at Grade 3 were moderated by student sex, while Black race/ethnicity and free or reduced lunch (FRL) status moderated LD-SWoD differences at all grades. These results provide practitioners and policy makers with more specific information about which particular LD students show faster or slower growth in mathematics. Our results show that simply including predictors in a regression equation may produce different results than direct testing of interactions and achievement gaps may be larger for some LD subgroups of students than previously reported.
本研究考察了无学习障碍学生(SWoD)和有学习障碍学生(LD)的数学成绩增长情况,并测试了成绩增长和学习障碍状况是否与学生人口统计学特征相互作用。在一个涵盖3至7年级、包含79554名学生的全州样本中对成绩增长进行了估计。学习障碍组在各年级的成绩均显著低于无学习障碍组,且成绩增长幅度也小于无学习障碍组。我们还发现,学生人口统计学特征与数学成绩增长显著相关,但只有三个人口统计学特征作为交互作用具有统计学意义。我们发现,三年级时学习障碍学生与无学习障碍学生之间的差异受学生性别调节,而黑人种族/族裔以及免费或减价午餐(FRL)状况在所有年级均调节了学习障碍学生与无学习障碍学生之间的差异。这些结果为从业者和政策制定者提供了更具体的信息,即哪些特定的学习障碍学生在数学方面成绩增长较快或较慢。我们的结果表明,仅仅在回归方程中纳入预测变量可能会产生与直接测试交互作用不同的结果,并且对于某些学习障碍学生亚组而言,成绩差距可能比之前报道的更大。