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Prediction and Stability of Mathematics Skill and Difficulty

机译:数学技能与难度的预测与稳定性

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摘要

The present study evaluated the stability of math learning difficulties over a 2-year period and investigated several factors that might influence this stability (categorical vs. continuous change, liberal vs. conservative cut point, broad vs. specific math assessment); the prediction of math performance over time and by performance level was also evaluated. Participants were 144 students initially identified as having a math difficulty (MD) or no learning difficulty according to low achievement criteria in the spring of Grade 3 or Grade 4. Students were reassessed 2 years later. For both measure types, a similar proportion of students changed whether assessed categorically or continuously. However, categorical change was heavily dependent on distance from the cut point and so more common for MD, who started closer to the cut point; reliable change index change was more similar across groups. There were few differences with regard to severity level of MD on continuous metrics or in terms of prediction. Final math performance on a broad computation measure was predicted by behavioral inattention and working memory while considering initial performance; for a specific fluency measure, working memory was not uniquely related, and behavioral inattention more variably related to final performance, again while considering initial performance.
机译:本研究评估了2年期间数学学习困难的稳定性,并调查了可能影响这种稳定性的几个因素(分类与持续变化,自由主义与保守削减点,广泛的与特定数学评估);还评估了数学性能和性能水平的预测。参与者是144名学生最初被确定为具有数学难度(MD)或根据3年级春季的低成绩标准没有学习难度,4年后学生重新评估。对于两种测量类型,类似比例的学生改变是否分类或不断评估。然而,分类变化严重依赖于剪切点的距离,并且对于MD开始更常见的距离更加普遍;可靠的变化指数变化跨组更相似。在连续度量或预测方面,关于MD的严重程度级别几乎没有差异。在考虑初始表现的同时,通过行为不集中注意力和工作存储器预测了广泛计算措施的最终数学性能;对于特定的流畅度量,工作记忆并不相关,并且行为不应与最终性能更具可变的关系,同时考虑初始性能。

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