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Yazdi-Ugav, Orly; Zach, Sima; Zeev, Aviva – Learning Disability Quarterly, 2022
The purpose of the study was to characterize the relationships between behavior problems, academic achievement, and loneliness of students in the upper and lower thirds of a social skills classification. Participants were 733 students (359 boys and 374 girls) ages 9 to 14 years, 642 without learning disabilities (LDs) and 91 with LDs. Their…
Descriptors: Students with Disabilities, Learning Disabilities, Children, Early Adolescents
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Mana, Adi; Saka, Noa; Dahan, Orit; Ben-Simon, Anat; Margalit, Malka – Learning Disability Quarterly, 2022
This study examined the predictive role of learning difficulties in the academic self-efficacy of students enrolled in higher education institutions and the serial multiple mediation of inner and external resources. The sample consisted of 2,113 students (age range = 18-35 years) at 25 higher education institutions in Israel. Participants were…
Descriptors: Social Support Groups, Learning Problems, College Students, Students with Disabilities
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Al-Yagon, Michal – Learning Disability Quarterly, 2012
This study explored children's secure attachment with both parents versus one parent, as well as the unique role of children's patterns of close relationships with father and mother, for a deeper understanding of maladjustment problems among children with learning disabilities (LD). Specifically, this study identified subgroups of children with…
Descriptors: Behavior Problems, Learning Disabilities, Child Behavior, Parent Child Relationship
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Margalit, Malka; Levin-Alyagon, Michal – Learning Disability Quarterly, 1994
This study examined patterns of social-emotional subgroups among 122 students with learning disabilities in Israel. Cluster analysis found four subgroups: two nonlonely (one behaviorally adjusted and one with externalizing maladjustment) and two lonely (with externalizing and internalizing maladjustment). Teacher ratings, student ratings, and case…
Descriptors: Behavior Problems, Classification, Cluster Analysis, Disability Identification