Kibbutzim College of Education, Technology and the Arts, Tel Aviv, Israel.
J Learn Disabil. 2011 May-Jun;44(3):215-27. doi: 10.1177/0022219409357080. Epub 2010 Apr 7.
This study evaluated a multidimensional model of loneliness as related to risk and protective factors among adolescents with learning disabilities (LD). The authors aimed to identify factors that mediated loneliness among 716 adolescents in Grades 10 through 12 who were studying in high schools or in Youth Education Centers for at-risk populations. There were 334 students with LD, divided into subgroups according to disability severity (three levels of testing accommodations), and 382 students without LD. Five instruments measured participants' socioemotional characteristics: loneliness, Internet communication, mood, and social and academic achievement-oriented motivation. Using structural equation modeling, the results confirmed the loneliness model and revealed that the use of the Internet to support interpersonal communication with friends predicted less intense loneliness, whereas virtual friendships with individuals whom students knew only online predicted greater loneliness. Positive and negative mood and motivation also predicted students' loneliness. In addition, the severity of LD predicted stronger loneliness feelings.
本研究评估了一个多维的孤独模型,该模型与学习障碍(LD)青少年的风险和保护因素有关。作者旨在确定在高中或面向高危人群的青年教育中心学习的 716 名 10 至 12 年级青少年中,哪些因素可以缓解孤独感。其中有 334 名 LD 学生,根据残疾严重程度(三级测试适应)分为亚组,382 名非 LD 学生。五项工具测量了参与者的社会情感特征:孤独感、互联网交流、情绪、社会和学业成就导向的动机。通过结构方程模型,结果证实了孤独模型,并表明使用互联网支持与朋友的人际交流可以预测孤独感的降低,而与仅在网上认识的虚拟朋友的交流则会增加孤独感。积极和消极的情绪和动机也可以预测学生的孤独感。此外,LD 的严重程度也预示着更强烈的孤独感。