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Nese, Joseph F. T.; Stevens, Joseph J.; Schulte, Ann C.; Tindal, Gerald; Elliott, Stephen N. – Journal of Special Education, 2017
Our purpose was to examine different approaches to modeling the time-varying nature of exceptionality classification. Using longitudinal data from one state's mathematics achievement test for 28,829 students in Grades 3 to 8, we describe the reclassification rate within special education and between general and special education, and compare four…
Descriptors: Classification, Achievement Gains, Special Needs Students, Mathematics Achievement
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Shih, Shu-Shen – School Psychology Quarterly, 2015
Although academic pressures are regarded as a primary source of stress among students in Asian countries, there has been paucity of research on the effects of classroom settings providing structure and peer support on Asian adolescents' use of coping strategies and academic burnout. The present study was intended to address this issue. Three…
Descriptors: Adolescents, Adolescent Attitudes, Classroom Environment, Coping
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Li, Bi; Wu, Yan; Wen, Zhonglin; Wang, Mengcheng – Journal of Psychoeducational Assessment, 2014
This article assessed the measurement in variance of the Adolescent Student Burnout Inventory (ASBI) across gender and educational track, and investigated the main and interaction effects of gender and educational track on the facets of student burnout with a sample consisting of 2,216 adolescent students from China. Multigroup confirmatory factor…
Descriptors: Foreign Countries, Adolescents, Burnout, Measures (Individuals)
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Hazel, Cynthia E.; Vazirabadi, G. Emma; Gallagher, John – Psychology in the Schools, 2013
This article proposes a model of student school engagement, comprising aspirations, belonging, and productivity. From this model, items for the Student School Engagement Measure (SSEM) were developed. The SSEM was validated with data from 396 eighth graders in an urban school district. Utilizing structural equation modeling, the second-order…
Descriptors: Learner Engagement, Models, Measures (Individuals), Grade 8
Akilli, Mustafa – Online Submission, 2015
The aim of this study is to demonstrate the science success regression levels of chosen emotional features of 8th grade students using Structural Equation Model. The study was conducted by the analysis of students' questionnaires and science success in TIMSS 2011 data using SEM. Initially, the factors that are thought to have an effect on science…
Descriptors: Regression (Statistics), Science Achievement, Structural Equation Models, Secondary School Science
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Jen, Tsung-Hau; Lee, Che-Di; Chien, Chin-Lung; Hsu, Ying-Shao; Chen, Kuan-Ming – International Journal of Science and Mathematics Education, 2013
Based on the Trends in International Mathematics and Science Study 2007 study and a follow-up national survey, data for 3,901 Taiwanese grade 8 students were analyzed using structural equation modeling to confirm a social-relation-based affection-driven model (SRAM). SRAM hypothesized relationships among students' perceived social relationships in…
Descriptors: Science Education, Junior High School Students, Grade 8, Peer Relationship
Donoghue, John R.; Mazzeo, John – 1995
At grades 8 and 12, the 1992 National Assessment of Educational Progress (NAEP) reading assessment contained a small number of 50-minute blocks in addition to the usual 25-minute blocks. To determine whether to incorporate the 50-minute blocks into the operational scaling, this study sought to determine whether the longer blocks measured a…
Descriptors: Chi Square, Goodness of Fit, Grade 12, Grade 8