Filippo Gloria Di, Zoccolotti Pierluigi
Faculty of Educational Sciences, Niccolò Cusano University, Rome, Italy.
Department of Psychology, Sapienza University of Rome, Rome, Italy.
Front Psychol. 2018 Feb 20;9:171. doi: 10.3389/fpsyg.2018.00171. eCollection 2018.
The study examined whether developmental deficits in reading and numerical skills could be expressed in terms of global factors by reference to the rate and amount (RAM) and difference engine (DEM) models. From a sample of 325 fifth grade children, we identified 5 children with dyslexia, 16 with dyscalculia, 7 with a "mixed pattern," and 49 control children. Children were asked to read aloud words presented individually that varied for frequency and length and to respond (either vocally or manually) to a series of simple number tasks (addition, subtraction, number reading, and number comparisons). Reaction times were measured. Results indicated that the deficit of children with dyscalculia and children with a mixed pattern on numerical tasks could be explained by a single global factor, similarly to the reading deficit shown by children with dyslexia. As predicted by the DEM, increases in task difficulty were accompanied by a corresponding increase in inter-individual variability for both the reading and numerical tasks. These relationships were constant across the four groups of children but differed in terms of slope and intercept on the -axis, indicating that two different general rules underlie performance in reading and numerical skills. The study shows for the first time that, as previously shown for reading, also numerical performance can be explained with reference to a global factor. The advantage of this approach is that it takes into account the over-additivity effect, i.e., the presence of larger group differences in the case of more difficult conditions over and above the characteristics of the experimental conditions. It is concluded that reference to models such as the RAM and DEM can be useful in delineating the characteristics of the dyscalculic deficit as well as in the description of co-morbid disturbances, as in the case of dyslexia and dyscalculia.
该研究考察了阅读和数字技能的发育缺陷是否可以通过参照速率和数量(RAM)模型以及差分引擎(DEM)模型,用全局因素来表示。从325名五年级儿童的样本中,我们识别出5名诵读困难儿童、16名计算障碍儿童、7名“混合模式”儿童和49名对照儿童。要求儿童大声朗读单独呈现的、在频率和长度上有所不同的单词,并对一系列简单的数字任务(加法、减法、数字朗读和数字比较)做出(口头或手动)反应。测量反应时间。结果表明,计算障碍儿童和“混合模式”儿童在数字任务上的缺陷可以用单一全局因素来解释,这与诵读困难儿童表现出的阅读缺陷类似。正如DEM所预测的,任务难度的增加伴随着阅读和数字任务个体间变异性的相应增加。这些关系在四组儿童中是恒定的,但在y轴上的斜率和截距不同,表明阅读和数字技能的表现有两种不同的一般规则。该研究首次表明,正如之前在阅读方面所显示的那样,数字表现也可以参照一个全局因素来解释。这种方法的优点是它考虑了超可加性效应,即在更困难条件下存在比实验条件特征更大的组间差异。得出的结论是,参照RAM和DEM等模型有助于描绘计算障碍缺陷的特征,以及描述共病障碍,如诵读困难和计算障碍的情况。