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Sulis, Isabella; Toland, Michael D. – Journal of Early Adolescence, 2017
Item response theory (IRT) models are the main psychometric approach for the development, evaluation, and refinement of multi-item instruments and scaling of latent traits, whereas multilevel models are the primary statistical method when considering the dependence between person responses when primary units (e.g., students) are nested within…
Descriptors: Hierarchical Linear Modeling, Item Response Theory, Psychometrics, Evaluation Methods
North, Elizabeth A.; Ryan, Allison M. – Journal of Early Adolescence, 2018
This study examines the nature and implications of peer academic reputations in math and science classes for early adolescents' achievement beliefs and behaviors. The sample was 840 students (51% girls; 36% African American, 47% European American, 7% Latino, 6% Asian American, and 3% Other). About half the sample (47%) was from 27 fifth-grade…
Descriptors: Correlation, Academic Achievement, Science Achievement, Mathematics Achievement
Dawes, Molly; Xie, Hongling – Journal of Early Adolescence, 2017
The trajectory of early adolescents' popularity goal during the transition to middle school was examined in a diverse sample of 401 students. Popularity goal was assessed at five time points from the spring semester of fifth grade through the spring semester of seventh grade with the transition to middle school occurring between the fifth and…
Descriptors: Peer Acceptance, Goal Orientation, Gender Differences, Ethnic Groups
Downer, Jason T.; Stuhlman, Megan; Schweig, Jonathan; Martínez, José Felipe; Ruzek, Erik – Journal of Early Adolescence, 2015
This study applies multi-level analysis to student reports of effective teacher-student interactions in 50 upper elementary school classrooms (N = 594 fourth- and fifth-grade students). Observational studies suggest that teacher-student interactions fall into three domains: Emotional Support, Classroom Organization, and Instructional Support.…
Descriptors: Teacher Student Relationship, Elementary School Students, Elementary School Teachers, Grade 4
Peugh, James L. – Journal of Early Adolescence, 2014
Applied early adolescent researchers often sample students (Level 1) from within classrooms (Level 2) that are nested within schools (Level 3), resulting in data that requires multilevel modeling analysis to avoid Type 1 errors. Although several articles have been published to assist researchers with analyzing sample data nested at two levels, few…
Descriptors: Early Adolescents, Research, Hierarchical Linear Modeling, Data Analysis

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