Journal article
Exploring the summer reading effect through visual analysis of multiple datasets
Journal of research in reading, Vol.44(3), pp.597-616
08/01/2021
DOI: 10.1111/1467-9817.12357
Abstract
Historically, there has been concern about students losing reading ability over extended breaks from school, commonly in the summer, but studies of this phenomenon have produced inconsistent results. We applied exploratory visual analysis of multiple datasets to examine whether students in Grades K-5 appear to lose or improve in various reading abilities over the summer and across consecutive school years. Archival data were obtained on students of different U.S. school districts who did not participate in a formal summer reading programme. Data were disaggregated by groups considered most vulnerable to summer loss: those from economically disadvantaged backgrounds and those identified with disabilities. Given the variety of measure types and scores, we centred scores on each measure's cut point for proficiency in a particular grade level to depict how students' scores deviated from the proficiency classifications before and after a summer break. Overall, students' scores relative to the benchmark appeared on average to have maintained or improved, and there was no observed accumulated decrement in reading performance across years. For anomalous instances of summer loss, we offer possible alternative explanations such as measurement artefacts and unrehearsed learning. Visual analysis of the datasets suggested that summer breaks were not associated with systematic losses of students' reading ability, even among those considered most vulnerable to the phenomenon. However, available assessments and benchmarks are not designed to measure summer learning specifically, and little is known about the kinds of literacy experiences students not in formal programmes might be having. Thus, more research on summer maturation and degeneration is warranted.
Details
- Title: Subtitle
- Exploring the summer reading effect through visual analysis of multiple datasets
- Creators
- Deborah K. Reed - University of IowaAriel M. Aloe - University of IowaSeohee Park - University of IowaAdam J. Reeger - University of Iowa
- Resource Type
- Journal article
- Publication Details
- Journal of research in reading, Vol.44(3), pp.597-616
- Publisher
- Wiley
- DOI
- 10.1111/1467-9817.12357
- ISSN
- 0141-0423
- eISSN
- 1467-9817
- Number of pages
- 20
- Grant note
- 000520 / Iowa Department of Education
- Language
- English
- Date published
- 08/01/2021
- Academic Unit
- Psychological and Quantitative Foundations; Iowa Reading Research Center; Teaching and Learning
- Record Identifier
- 9984371293502771
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