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prediction model for community colleges using graduation rate as the performance indicator

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Date Issued:
2010
Summary:
In this thesis a prediction model using graduation rate as the performance indicator is obtained for community colleges for three cohort years, 2003, 2004, and 2005 in the states of California, Florida, and Michigan. Multiple Regression analysis, using an aggregate of seven predictor variables, was employed in determining this prediction model. From this prediction model, a predicted graduation rate was obtained for each of the 142 institutions in this study. Using this predicted graduation rate, an Institutional Performance Ratio (IPR), was then calculated for each institution, by dividing the actual graduation rate for each institution by its predicted graduation rate. These IPR values were then used to classify the performance of each institution as meeting expectation, exceeding expectation or falling below expectation. Inter institutional comparisons were also made using these IPR values.
Title: A prediction model for community colleges using graduation rate as the performance indicator.
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Name(s): Moosai-Sitahal, Susan
College of Education
Department of Educational Leadership and Research Methodology
Type of Resource: text
Genre: Electronic Thesis Or Dissertation
Date Issued: 2010
Publisher: Florida Atlantic University
Physical Form: electronic
application/pdf
Extent: 141 p.
Language(s): English
Summary: In this thesis a prediction model using graduation rate as the performance indicator is obtained for community colleges for three cohort years, 2003, 2004, and 2005 in the states of California, Florida, and Michigan. Multiple Regression analysis, using an aggregate of seven predictor variables, was employed in determining this prediction model. From this prediction model, a predicted graduation rate was obtained for each of the 142 institutions in this study. Using this predicted graduation rate, an Institutional Performance Ratio (IPR), was then calculated for each institution, by dividing the actual graduation rate for each institution by its predicted graduation rate. These IPR values were then used to classify the performance of each institution as meeting expectation, exceeding expectation or falling below expectation. Inter institutional comparisons were also made using these IPR values.
Identifier: 650818269 (oclc), 2683205 (digitool), FADT2683205 (IID), fau:3502 (fedora)
Note(s): by Susan Moosai.
Thesis (Ph.D.)--Florida Atlantic University, 2010.
Includes bibliography.
Subject(s): Community colleges -- United States
College attendance -- United States
Educational evaluation -- United States
Educational indicators -- United States
Persistent Link to This Record: http://purl.flvc.org/FAU/2683205
Use and Reproduction: http://rightsstatements.org/vocab/InC/1.0/
Host Institution: FAU