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ERIC Number: ED449181
Record Type: Non-Journal
Publication Date: 2000-Apr
Pages: 35
Abstractor: N/A
Reference Count: N/A
ISBN: N/A
ISSN: N/A
Predicting Academic Achievement Using Archival Mobility Data.
Jennings, Tara A.; Kovalski, Theresa M.; Behrens, John T.
Educators consider student mobility one of the most important variables associated with achievement, but there is little agreement on how to measure mobility. The purpose of this study was to examine the relationship between academic achievement and a variety of possible definitions of mobility using archival school attendance records. A second purpose was to examine the relative value of using mobility as a predictor of achievement in the context of other demographic predictors of achievement. In addition, the stability of these relationships was assessed across several years of data. School-level archival data was obtained for all public elementary schools in Arizona, and the data from grades 3 through 8 were examined. Mobility figures were calculated using school-level counts of entrances and withdrawals for 1997 and 1998. Eleven mobility formulas were examined, and more than half of these were shown to have better correlations with achievement than the formula implied by the definition adopted by the Arizona Department of Education. Several predictors of academic achievement were examined, including free and reduced lunch percentages, numbers of students of limited English proficiency, absence rate, and mobility. Regression results indicate that mobility does not add any predictive power above and beyond other demographic variables considered. The implications of these results are discussed. (Contains 6 tables, 10 figures, and 25 references.) (SLD)
Publication Type: Reports - Research; Speeches/Meeting Papers
Education Level: N/A
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A
Identifiers - Location: Arizona