Student Mobility Exploring the Impacts of Frequent Moves on Achievement: Summary of a Workshop (2010) / Chapter Skim
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5 Directions for Future Research
5 Directions for Future Research
Pages 53-62
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From page 53... ...
Poor families move more than nonpoor fami lies. Hispanic and particularly African American families move most frequently of all.
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From page 54... ...
The research priorities he listed are rigorous evaluation of interventions designed to: stabilize housing and therefore to prevent excessive residen tial mobility, to support school stability when many short-distance moves affect students, and to protect children against the negative impacts of residential and school mobility. Promising interventions need to be evaluated to make sure they can be faithfully implemented and their effects should be assessed, preferably using randomized experiments.
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From page 55... ...
All three capture the number of moves reported between data collection points, the num- ber of schools attended, residential histories, and addresses. Each covers somewhat different time spans in the lives of the children sampled, yet all collect extensive information about their education, achievement, socio - emotional functioning, behaviors, and health.
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From page 56... ...
Hernandez also emphasized that these surveys need to be augmented by qualitative ethnographic studies, comparative case studies, and place-based experi- ments, which are especially useful for studying the effectiveness of policy and programmatic interventions. He closed with a reminder that large numbers of children in every social and economic group in the United States experience high mobility rates, and that longitudinal data sets have enormous promise for helping to make life better for them.
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From page 57... ...
She found that the migrant students she followed have significantly lower achievement and graduation rates than nonmigrant students, and she used qualitative methods to explore their perceptions of school, sources of support, and other aspects of their lives in an effort to pinpoint the reasons for their academic difficulties. Through this work, it has been possible to identify schools and pro grams that have been successful in supporting mobile children and to note that migrant education programs tended to "create spaces of belonging and connection that reinforce both academic success and identity." Study of successful programs suggests that they had teachers who developed caring relationships with their students, served as role models, helped to bridge gaps between home and school, and acted as liaisons to other resources for migrant students.
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From page 58... ...
Nevertheless administrative data provide an excellent way to track residential moves, homelessness and use of residential facilities, attendance patterns, use of special education services, disciplinary actions, achievement data, and school-based health records, for example. Even greater benefits come when these kinds of data can be linked with other social welfare data, such as foster care, juvenile justice, public assistance, mental health, and data on parents' involvement with these systems.
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From page 59... ...
to illustrate research that he believes is particu larly valuable. He and his colleagues were examining the effect of number of moves on reading achievement, looking at achievement thresholds on the state eighth grade reading assessment.
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From page 60... ...
This might include designs that consider multiple levels of analysis such as exploring the effects of individual child mobility as well as classroomlevel mobility. Others built on this theme, suggesting, for example, the need for a national mandatory administrative data set.
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From page 61... ...
, housing policy, and other institu tional decisions play in undermining family stability. Similarly, focusing on broader, more long-term developmental and health outcomes helps to open up understanding of mobility as part of a bigger picture of the factors that affect family stability.
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From page 62... ...
The research on mobility is provocative, rich, and complex. It is emerging, but is still in a fairly immature stage of development in that it lacks rich, robust theories, tailored measurement tools, and sample populations that target the most important questions.
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