Can Neighbor Attributes Predict School Absences?

Autor/in	Gottfried, Michael A.
Titel	Can Neighbor Attributes Predict School Absences?
Quelle	In: Urban Education, 49 (2014) 2, S.216-250 (35 Seiten)Infoseite zur Zeitschrift PDF als Volltext Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	0042-0859
DOI	10.1177/0042085913475634
Schlagwörter	Neighborhoods; Context Effect; Predictor Variables; Attendance Patterns; Urban Youth; Urban Areas; Longitudinal Studies; Elementary School Students; Middle School Students; Student Records; Census Figures; Correlation; Poverty; Family Structure; Housing; Ownership; Racial Differences; Gender Differences; Ethnicity; Socioeconomic Status; Pennsylvania + Suchen Sie Ihr Suchwort? Neighbourhoods; Nachbarschaft; Prädiktor; Urban area; Urban areas; Youth; Stadtregion; Stadt; Jugend; Longitudinal study; Longitudinal method; Longitudinal methods; Längsschnittuntersuchung; Middle school; Middle schools; Student; Students; Mittelschule; Mittelstufenschule; Schüler; Schülerin; Schülerakte; Volkszählung; Korrelation; Armut; Familienkonstellation; Familiensystem; Unterkunft; Eigentum; Rassenunterschied; Geschlechterkonflikt; Ethnizität; Socio-economic status; Sozioökonomischer Status
Abstract	Recent evidence suggests that the neighborhood context, particularly for urban youth, can influence a range of outcomes. This study makes contributions to the field by examining how the neighborhood context directly relates to missing school. To do so, this study employs a large-scale, longitudinal data set of multilevel observations for entire elementary- and middle-school student cohorts in an urban district over 8 academic years. By linking urban school district administrative data with U.S. Census data, this study provides unique insight into how the characteristics of the neighbors on a student's residential block (determined by his or her exact home address) predict school absences. The results indicate significant relationships between school absences and multiple categories of neighbor attributes, as delineated across measures of poverty, family structure, homeownership status, and race. These results are also distinguishable based on student gender, race and ethnicity, and socioeconomic status. (As Provided).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2017/4/10