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Haimei, Sui; Yingquan, Song – Chinese Education & Society, 2017
This article is based on tracking data of 7,411 first-year high school students from 106 secondary vocational schools in Zhejiang and Shaanxi Provinces from 2011 and 2012 and analyzes the impact of the experience of being left-behind on the exam behavior, dropout behavior, and willingness for promotion of secondary vocational school students. The…
Descriptors: Foreign Countries, High School Students, Vocational Schools, Dropouts
Dauter, Luke; Fuller, Bruce – American Educational Research Journal, 2016
Higher rates of school switching by students contribute to achievement disparities and are typically theorized as driven by attributes of individual pupils or families. In contrast the neoclassical-economic account postulates that switching is necessary for competition among schools. We argue that both frames fail to capture social-referential and…
Descriptors: Student Mobility, Social Environment, Ecological Factors, Peer Influence
McKee, M. Todd; Caldarella, Paul – Education, 2016
Dropping out of high school has negative results and implications for individuals and society. The likelihood of dropping out is attributed to both social and academic risk factors. Poor high school attendance, low course completion, and low grade-point-average (GPA) have been identified as three leading indicators that students are at risk for…
Descriptors: Middle School Students, High School Students, Academic Achievement, Predictor Variables
Roane, Warren – Online Submission, 2010
The Texas Projection Measure (TPM) has grown out of the state's need to meet the requirements of No Child Left Behind (NCLB). An examination of the state's method of predicting 8th grade mathematics scores reveals that several factors have been ignored in the process of developing the model, including assumptions in its underlying statistical…
Descriptors: Federal Legislation, Statistical Analysis, Grade 8, Predictive Measurement

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