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What Environments Support Reading Growth Among Current Compared With Former Reading Intervention Recipients? A Multilevel Analysis of Students and Their Schools. | LitMetric

AI Article Synopsis

  • School context influences how students respond to reading interventions with factors like instructional quality, resources, and student demographics playing a key role.
  • The study analyzed data from 16,000 Grade 3 students in a reading intervention program to see how school factors like socioeconomic status (measured by free/reduced-price lunch eligibility) and school achievement affected reading fluency growth.
  • Results showed that school-level free/reduced-price lunch eligibility significantly impacted growth differences between active and former intervention recipients, while initial reading achievement was more relevant at the start of the school year.

Article Abstract

School context can shape relative intervention response in myriad ways due to factors, such as instructional quality, resource allocation, peer effects, and correlations between the school context and characteristics of enrolled students (e.g., higher-poverty students attending higher-poverty schools). In the current study, we used data from 16,000 U.S. Grade 3 students in a community-based supplemental reading intervention program to investigate the degree to which school context factors (percentage eligible for free/reduced-price lunch [FRPL], school-level achievement) relate to the differences in triannual reading fluency growth rates between students actively receiving supplemental intervention (active recipients) and those that formerly received intervention (and therefore only received general class instruction at this time; former recipients). Using Bayesian multilevel modeling, our findings indicate that school-level FRPL eligibility played a more prominent factor in growth rate differences between these two groups than school-level reading achievement. However, school-level reading achievement was much more strongly related to reading fluency differences between active and former intervention recipients at the beginning of the school year (when controlling for FRPL). Implications for investigating school-level heterogeneity in intervention response and sustainability are discussed.

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Source
http://dx.doi.org/10.1177/00222194241236164DOI Listing

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