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Liu, Jing – Thomas B. Fordham Institute, 2022
Because the pandemic exacerbated chronic absenteeism in many parts of the country, the need to understand how schools can improve student attendance has never been greater. Accordingly, this study breaks new ground by examining high schools' contributions to attendance after accounting for individual students' prior absenteeism and other…
Descriptors: Attendance, Evaluation Methods, Pandemics, COVID-19
Thinking Heuristically about Student Growth in Austin Independent School District. Publication 17.33
Hutchins, Shaun D.; DeBaylo, Paige Hartman; Williams, Holly – Online Submission, 2018
This report presents a question-driven exploration of growth and achievement data using SAS EVAAS reports. The purpose of this exploration was to bring additional data, information, and ways of thinking about student growth to ongoing district conversations about the measurement of campus-level student growth.
Descriptors: School Districts, Achievement Gains, Achievement Tests, High Schools
Schmitt, Lisa; Hutchins, Shaun – Online Submission, 2016
This report provides an overview of the process used to derive a school's growth level and summarizes 2015 math and reading/ELA growth levels for all AISD elementary, middle and high schools. Additionally, longitudinal data are provided for each school level.
Descriptors: School Districts, Academic Achievement, Elementary School Students, Middle School Students
Jackson, C. Kirabo – National Bureau of Economic Research, 2013
Unlike in elementary school, high-school teacher effects may be confounded with both selection to tracks and unobserved track-level treatments. I document sizable confounding track effects, and show that traditional tests for the existence of teacher effects are likely biased. After accounting for these biases, high-school algebra and English…
Descriptors: Teacher Influence, Value Added Models, Mathematics Instruction, Algebra