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ERIC Number: ED347616
Record Type: RIE
Publication Date: 1992-Apr
Pages: 21
Abstractor: N/A
Reference Count: N/A
ISBN: N/A
ISSN: N/A
A Comparative Analysis of Six Methods for Computing Dropout: Their Utility in Educational Decision Making.
MacCuish, Donald A.
Findings from a study that compared six methods for computing dropout rates are presented in this paper, which focuses on determining those appropriate for use at the local level of administrative decision making. Statewide data obtained from the U.S. Department of Education and from the Division of Management Information Services, Florida Department of Education, were used to compare the following six methods: Simple or Event; Current Population Survey (CPS); Common Core Data (CCD); High School and Beyond (HS&B); Cumulative Dropout (CDOR); and Enhanced Dropout. The uses of each model for each level of the educational hierarchy are described. Findings indicate that the combination of the Event, CDOR, and Enhanced methods provide a clear picture of the local dropout problem. A conclusion is that because dropout rate data obtained from using a particular computation method may not be applicable at every level, local educational decision makers must be aware of the various computation models and the information each provides. (13 references) (LMI)
Publication Type: Reports - Research; Speeches/Meeting Papers
Education Level: N/A
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A
Identifiers: Florida
Note: Paper presented at the Annual Meeting of the American Educational Research Association (San Francisco, CA, April 20-24, 1992).