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The objective of this study was to determine the relationship between having a special educational needs background (SEN) and the likelihood of having friends in inclusive classes. We assumed that a combination of individual, dyadic and contextual variables can sufficiently explain the relation between a SEN diagnosis and the likelihood of friendship. Data analysis was based on a cross-sectional sample of students (N = 1241) in second and third grade primary-school classes. To address the different levels adequately, the present study improves upon previous research in two ways: First, the sociometric data were analyzed with the p2 model, a specialized multilevel network model. Second, the study focused solely on friendships and emphasized the concept’s unique features with respect to inclusive education. Data analysis indicated that students with SEN had a decreased probability of becoming friends with their classmates compared to students without SEN. Even when individual, dyadic, and contextual variables were included into the model, the association between a SEN diagnosis and the likelihood of friendship persisted. The implications of the results are discussed with respect to their implications for inclusive teaching practice.
It is assumed that additionally to the family background and child characteris-tics, the children’s learning environments are crucial for the acquisition of early competencies. This study aimed to compare the eff ects of home and institutional learning environment on young children’s vocabulary and to test necessary con-ditions for a potential compensatory eff ect of the institutional learning environ-ment. Using longitudinal data from N = 557 preschool children (German National Educational Panel Study), we analysed to what extent family background and children’s characteristics predicted home and institutional learning environments and to what extent these learning environments predicted vocabulary in pre-school and primary school. In order to test if both learning environments pre-dict vocabulary separately, we used almost identical indicators to operationalize them. The effects were estimated within a structural equation model. The study revealed that both, home and institutional learning environment, had small and separate eff ects on children’s vocabulary. The home learning environment was more closely related to the family background, while the institutional learning en-vironment was more closely related to the children’s characteristics. This evokes new possibilities to discuss compensatory effect.