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Roddy Theobald; Dan Goldhaber; Andrew Katz – National Center for Analysis of Longitudinal Data in Education Research (CALDER), 2024
We use student-level data on elementary special education identification from Washington state to explore student identification rates in the months immediately after the onset of the COVID-19 pandemic and over 2 subsequent years. Special education identification rates dropped dramatically in March 2020 through the end of the 2019-20 school year…
Descriptors: Special Education, Elementary School Students, Disability Identification, COVID-19
Roddy Theobald; Dan Goldhaber; Andrew Katz – National Center for Analysis of Longitudinal Data in Education Research (CALDER), 2024
We analyze student-level data on elementary special education identification in Washington state to explore how identification rates changed during the COVID-19 pandemic. We find that special education identification rates dropped dramatically in March 2020 through the end of the 2019-20 school year and remained below historical norms throughout…
Descriptors: Special Education, Students with Disabilities, Elementary School Students, Disability Identification
Dan Goldhaber; Nick Huntington-Klein; Nate Brown; Scott Imberman; Katharine O. Strunk – National Center for Analysis of Longitudinal Data in Education Research (CALDER), 2024
The COVID-19 pandemic forced widespread school closures and a shift to remote learning. A growing body of research has examined the effects of remote learning on student outcomes. But the accuracy of the school modality measures used in these studies is questionable. The most common measures--based on self-reports or district website…
Descriptors: Handheld Devices, Telecommunications, COVID-19, Pandemics
Dan Goldhaber; Grace Falken – National Center for Analysis of Longitudinal Data in Education Research (CALDER), 2024
We estimate the effects of federal pandemic-relief funding (ESSER III) for K12 schools on district-level student achievement growth in 2023. We rely on student test achievement data from over 5,000 school districts across 30 states. Our novel identification strategy exploits variation in ESSER attributable to its allocation rules and their…
Descriptors: Elementary Secondary Education, COVID-19, Federal Aid, Grants
Maria V. Carbonari; Miles Davison; Michael DeArmond; Daniel Dewey; Elise Dizon-Ross; Dan Goldhaber; Ayesha K. Hashim; Thomas J. Kane; Andrew McEachin; Emily Morton; Atsuko Muroga; Tyler Patterson; Douglas O. Staiger – AERA Open, 2024
Pandemic-era disruptions to schooling resulted in academic setbacks for many students. To help students catch up, school districts nationwide are implementing a range of academic recovery interventions. In this paper, we use multiple data sources to evaluate the impact and implementation of academic recovery interventions in four school districts…
Descriptors: Intervention, COVID-19, Pandemics, Program Effectiveness
Ian Callen; Dan Goldhaber; Thomas J. Kane; Anna McDonald; Andrew McEachin; Emily Morton – National Center for Analysis of Longitudinal Data in Education Research (CALDER), 2024
It is now well established that the COVID-19 pandemic had a devastating and unequal impact on student achievement. Test score declines were disproportionately large for historically marginalized students, exacerbating preexisting achievement gaps and threatening educational and economic inequality. In this paper, we use longitudinal student-level…
Descriptors: COVID-19, Pandemics, Achievement Gains, At Risk Students