Using Longitudinal Student Mobility to Identify At-Risk Students

Autor/inn/en	Goldhaber, Dan; Koedel, Cory; Özek, Umut; Parsons, Eric
Titel	Using Longitudinal Student Mobility to Identify At-Risk Students
Quelle	In: AERA Open, 8 (2022) 1, (13 Seiten) PDF als Volltext kostenfreie Datei Verfügbarkeit
Zusatzinformation	ORCID (Goldhaber, Dan)
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
Schlagwörter	Longitudinal Studies; Student Mobility; Identification; At Risk Students; Outcomes of Education; Elementary Secondary Education; Academic Achievement; Predictor Variables; Racial Differences; Social Differences; Low Income Students; Massachusetts; Missouri; Washington + Suchen Sie Ihr Suchwort? Longitudinal study; Longitudinal method; Longitudinal methods; Längsschnittuntersuchung; Student; Students; Mobility; Schüler; Schülerin; Studentin; Mobilität; Identifikation; Identifizierung; Lernleistung; Schulerfolg; Schulleistung; Prädiktor; Rassenunterschied; Sozialer Unterschied; Master-Studiengang
Abstract	We use administrative data from three states to document the relationships between geographic mobility and student outcomes during K-12 schooling. We focus specifically on nonstructural mobility events--which we define as school changes that do not occur as the result of normal transitions between schools--and on longitudinal measures that capture these events cumulatively for students. We show that the number of nonstructural moves experienced by a student is a powerful indicator of low-test performance and graduation rates. Longitudinal information on student mobility is unlikely to be readily available to local practitioners--that is, individual districts, schools, or teachers. However, due to recent investments in longitudinal data systems in most states, this information can be made available at low cost by state education agencies. (As Provided).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2024/1/01