Abstract
It is vital for researchers examining student outcomes of school mobility to understand and control for selection effects—the many ways that students who experience school mobility are different from those who do not switch schools. Using data from a 5-cohort sequential longitudinal study (N = 26,063, 61.2% Latinx, 31.3% Black, 6.7% White/other, and 0.7% Asian/Pacific Islander), we examined characteristics of students who did and did not engage in between-year, non-promotional, within-district moves throughout middle school (6th, 7th, and 8th Grade). Children were directly assessed for school readiness at age 4 and prospective longitudinal public school record data were collected on students through 8th grade. Approximately 19% of the sample moved to a different school at least once during middle school. Multivariate logistic regressions found that with all covariates included in the model, Black and Latinx students, those in poverty, and females were more likely to switch to a different middle school. Conversely, those who attended public school pre-K and those with better behavior at school entry were less likely to switch middle schools. Students who performed better academically back in 5th grade were less likely to switch schools. Researchers attempting to claim that school mobility has adverse effects on students’ academic performance and school completion need to understand and statistically control for these pre-existing differences between movers and non-movers before analyzing student outcomes.
Highlights
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Examined student characteristics associated with school mobility in middle school, where almost 20% of students moved schools between 6th, 7th, and 8th grade.
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Black and Latinx students, those in poverty, and females were more likely to switch middle schools.
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Students who switched middle schools tended to struggle more academically earlier in elementary school.
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Those who attended public school pre-K and those with better behavior were less likely to switch middle schools.
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It is critical for researchers examining outcomes from school mobility to understand and control for these pre-existing selection effects or predictors of mobility.
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References
Alexander, K. L., & Entwisle, D. R. (1996). Children in motion: school transfers and elementary school performance. Journal of Educational Research, 90(1), 3–10.
Ansari, A., López, M., Manfra, L., Bleiker, C., Dinehart, L. H. B., Hartman, S. C., & Winsler, A. (2017). Differential third grade outcomes associated with attending publically funded preschool programs for low-income, Latino children. Child Development, 88(5), 1743–1756. https://doi.org/10.1111/cdev.12663.
Bowman, B., Donovan, M. & Burns, M. (Eds.) (2001). Eager to learn: educating our preschoolers. Washington, DC: National Academy Press.
Bronfenbrenner, U., & Morris, P. A. (2006). The bioecological model of human development. In R. M. Lerner & W. Damon (Eds.), Handbook of child psychology (6th ed.): Vol 1, Theoretical models of human development (pp. 793–828). Hoboken, NJ: Wiley.
Clarke-Stewart, A., & Allhusen, V. D. (2005). What we know about childcare. Cambridge, MA: Harvard University Press.
Coleman, J. S. (1988). Social capital in the creation of human capital. The American Journal of Sociology, 94, S95–S120.
Conger, D., & Dickson, L. (2017). Gender imbalance in higher education: insights for college administrators and researchers. Research in Higher Education, 58(2), 214–230. https://doi.org/10.1007/s11162-016-9421-3.
Conger, D., Gibbs, C. R., Uchikoshi, Y., & Winsler, A. (2019). New benefits of public school pre-kindergarten programs: early school stability, grade promotion, and exit from ELL services. Early Childhood Research Quarterly, 48, 26–35. https://doi.org/10.1016/.ecresq.2018.10.015.
Crane, J., Mincic, M., & Winsler, A. (2011). Parent-teacher agreement and reliability on the Devereux Early Childhood Assessment (DECA) in English and Spanish for ethnically diverse children in poverty. Early Education and Development, 22, 520–547. https://doi.org/10.1080/10409289.2011.565722.
Feldman, R. S. (2006). Development across the life span. 7th ed. Upper Saddle River, NJ: Pearson/Prentice Hall.
Grigg, J. (2012). School enrollment changes and student achievement growth: a case study in educational disruption and continuity. Sociology of Education, 85(4), 388–404. https://doi.org/10.1177/0038040712441374.
Haelermans, C., & De Witte, K. (2015). Does residential mobility improve educational outcomes? Evidence from the Netherlands. Social Science Research, 52, 351–369.
Hartman, C., & Robinson, D. (2010). Evictions: the hidden housing problem. Housing Policy Debate, 14(4), 461–501. https://doi.org/10.1080/10511482.2003.9521483.
Herbers, J. E., Reynolds, A. J., & Chen, C. (2013). School mobility and developmental outcomes in young adulthood. Development and Psychopathology, 25(2), 501–515. https://doi.org/10.1017/S0954579412001204.
Human Resources Research Organization, & Harcourt Assessment. (2007). Technical report for 2006 FCAT test administrators: reading and mathematics. San Antonio, TX: Author.
Ingersoll, G. M., Scamman, J. P., & Eckerling, W. D. (1989). Geographic mobility and student achievement in an urban setting. Educational Evaluation and Policy Analysis, 11(2), 143–149.
Mehana, M., & Reynolds, A. J. (2004). School mobility and achievement: a meta-analysis. Children and Youth Services Review, 26(1), 93–119. https://doi.org/10.1016/j.childyouth.2003.11.004.
Moffett, A., & Winsler, A. (2017). Child- and school-level predictors of elementary school mobility among ethnically diverse children in poverty. Poster presented at the Annual Conference of the Association for Psychological Science. Boston, MA.
Nehring, A. D., Nehring, E. F., Bruni, J. R., & Randolph, P. L. (1992). Learning accomplishment profile-diagnostic standardized assessment. Lewisville, NC: Kaplan Press.
Parke, C. S., & Kanyongo, G. Y. (2012). Student attendance, mobility, and mathematics achievement in an urban school district. The Journal of Educational Research, 105(3), 161–175. https://doi.org/10.1080/00220671.2010.547231.
Pennisi, M. (2010). A Herculean leap for the hard case of post-acquisition claims: interpreting Fair Housing Act section 3604(b) after Modesto. Fordham Urban Law Journal, 37(4), 1083–1147.
Rumberger, R. W. (2015). Student mobility: causes, consequences, and solutions. Boulder, CO: National Education Policy Center. http://nepc.colrado.edu/publication/student-mobility
Rumberger, R. W., Larson, K. A., Ream, R. K., & Palardy, G. J. (1999). The educational consequences of mobility for California students and schools. Berkeley: Policy Analysis for California Education. http://files.eric.ed.go/fulltext/ED441040.pdf.
Selya, A. S., Engel-Rebitzer, E., Dierker, L., Stephen, E., Rose, J., Coffman, D. L., & Otis, M. (2016). The causal effect of student mobility on standardized test performance: a case study with possible implications for accountability mandates within the Elementary and Secondary Education Act. Frontiers in Psychology, 7(1096), 1–10. https://doi.org/10.3389/fpsyg.2016.01096.
Shonkoff, J. P., & Phillips, D. A. (2000). From neurons to neighborhoods: the science of early childhood development. Washington, DC: National Academy Press.
Strand, S., & Demie, F. (2007). Pupil mobility, attainment and progress in secondary school. Educational Studies, 33(3), 313–331. https://doi.org/10.1080/03055690701423184.
Watt, H. M. G. & Eccles, J. S. (Eds.) (2008). Gender and occupational outcomes: longitudinal assessments of individual, social, and cultural influences. Washington, DC, US: American Psychological Association. https://doi.org/10.1037/11706-000.
Welsh, O. R. (2017). School hopscotch: a comprehensive review of K-12 student mobility in the United States. Review of Educational Research, 87(3), 475–511. https://doi.org/10.3102/003465316672068.
Winsler, A., Tran, H., Hartman, S. C., Madigan, A. L., Manfra, L., & Bleiker, C. (2008). School readiness gains made by ethnically diverse children in poverty attending center-based childcare and public school pre-kindergarten programs. Early Childhood Research Quarterly, 23, 314–329. https://doi.org/10.1016/j.ecresq.2008.02.003.
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Participants provided informed consent for the de-identified longitudinal follow up through the public schools as part of the original community evaluation project in the pre-K year. The project was approved by the institutional review boards of both the university and the school system involved.
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Calibuso, E., Winsler, A. Who Switches Schools? Child-Level Predictors of School Mobility in Middle School Students. J Child Fam Stud 30, 263–275 (2021). https://doi.org/10.1007/s10826-020-01820-3
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DOI: https://doi.org/10.1007/s10826-020-01820-3