How Measurement and Modeling of Attendance Matter to Assessing Dimensions of Inequality

Autor/in	Dougherty, Shaun M.
Titel	How Measurement and Modeling of Attendance Matter to Assessing Dimensions of Inequality
Quelle	In: Journal of Education for Students Placed at Risk, 23 (2018) 1-2, S.9-23 (15 Seiten)Infoseite zur Zeitschrift PDF als Volltext Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	1082-4669
DOI	10.1080/10824669.2018.1438203
Schlagwörter	Attendance; Measurement; Models; Statistical Analysis; Longitudinal Studies; Low Income Students; Inferences; Elementary Secondary Education; Differences; Attendance Patterns; Least Squares Statistics + Suchen Sie Ihr Suchwort? Anwesenheit; Messverfahren; Analogiemodell; Statistische Analyse; Longitudinal study; Longitudinal method; Longitudinal methods; Längsschnittuntersuchung; Inference; Inferenz; Unterscheiden
Abstract	Each iteration of high stakes accountability has included requirements to include measures of attendance in their accountability programs, thereby increasing the salience of this measure. Researchers too have turned to attendance and chronic absence as important outcomes in evaluations and policy studies. Often, too little attention is paid to the implications of measurement or statistical modeling decisions employed in these studies. Such lack of attention to measurement and modeling can obscure important differences in these measures across the educational life cycle, as well as between the outcomes of higher income students and their lower-income peers. Using longitudinal data from a representative state, this paper demonstrates how measurement and modeling choices can influence model estimates and undermine the quality of inferences. These considerations have important implications for researchers and practitioners who wish to use attendance data to understand policy impacts and guide practice, particularly when focused on chronic absence. (As Provided).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2020/1/01