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Nian, Qinghua; Cox, Christopher – AERA Online Paper Repository, 2019
Students in public education are expected to attend school on a regular basis to learn. This study applied multiple linear regression models and binary logistic regression models to analyze the effect of risk of early chronic absence pattern on later math achievement by using student level longitudinal data. Results showed that students with small…
Descriptors: Attendance Patterns, Children, Elementary School Students, At Risk Students
Mikk, Jaan – Online Submission, 2007
The aim of the research was to assess the economic, educational and cultural predictors of the TIMSS 2003 science test results in Lithuania and Estonia. The data for the research were received from the TIMSS 2003 User Guide for the International Database. The Spearman rank correlation coefficients, calculated on the students' level and the schools…
Descriptors: Predictor Variables, Science Education, Science Achievement, Cultural Influences
McGrew, Jean B.; And Others – 1984
The principal purpose of this project was to find what, if any, early indicators exist to identify incoming students whose academic performance in high school would be high. The corollary objective was to consider what types of intervention strategies might be designed to assure that students so identified would fulfill their early promise. An…
Descriptors: Achievement Tests, Advanced Placement, Attendance Patterns, Early Identification
Swan, Karen; And Others – 1989
The Computer Pilot Program of the Division of Computer Information Services of the New York City Board of Education was designed to investigate the claim that comprehensive computer-based instruction (CBI) might best be used to improve the basic skills of educationally disadvantaged students. This ongoing project is designed to identify…
Descriptors: Academic Achievement, Attendance Patterns, Basic Skills, Computer Assisted Instruction