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Agley, Jon; Tidd, David; Jun, Mikyoung; Eldridge, Lori; Xiao, Yunyu; Sussman, Steve; Jayawardene, Wasantha; Agley, Daniel; Gassman, Ruth; Dickinson, Stephanie L. – Educational and Psychological Measurement, 2021
Prospective longitudinal data collection is an important way for researchers and evaluators to assess change. In school-based settings, for low-risk and/or likely-beneficial interventions or surveys, data quality and ethical standards are both arguably stronger when using a waiver of parental consent--but doing so often requires the use of…
Descriptors: Data Analysis, Longitudinal Studies, Data Collection, Intervention
Kuo, Yi-Lung; Casillas, Alex; Allen, Jeff; Robbins, Steve – Journal of Educational Psychology, 2021
The moderating effects of motivation, social control, and self-regulation in predicting academic achievement were examined in Grades 11-12 for 3,281 seventh through nine graders. Standardized assessments of college readiness and student self-reported measures of psychosocial factors were used in the study. The results showed that females in Grades…
Descriptors: Academic Achievement, Achievement Gains, Metacognition, Prediction
Looby, Karen – Online Submission, 2021
This report includes results for Austin Partners in Education (APIE) programs in 2019-2020 including math classroom coaching, GEAR UP tutoring, college readiness, and mentoring. It highlights continued academic programs serving students in middle and high school and describes APIE support provided to teachers' instruction. As classroom instruction…
Descriptors: Grade 8, Middle School Students, Coaching (Performance), Mathematics Instruction