Short-Term Enrollment Projections Based on Traditional Time Series Analysis

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The problem of this study was to make short-term projections of student semester credit hour enrollments, at each of two state universities of comparable size, based on traditional time series analysis. 1. The first purpose of the study was to identify the cyclical component of deseasonalized enrollment data. 2. The second purpose was to determine a cyclical economic indicator having a high correlation with the cyclical component of the enrollment data. The selected economic indicator was used in establishing explanatory equations for projecting enrollment. 3. The third purpose was to compare projected 1979- 1980 academic year enrollment figures obtained from … continued below

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vi, 141 leaves

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Brooks, Dorothy Lynn December 1981.

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  • Brooks, Dorothy Lynn

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Description

The problem of this study was to make short-term projections of student semester credit hour enrollments, at each of two state universities of comparable size, based on traditional time series analysis. 1. The first purpose of the study was to identify the cyclical component of deseasonalized enrollment data. 2. The second purpose was to determine a cyclical economic indicator having a high correlation with the cyclical component of the enrollment data. The selected economic indicator was used in establishing explanatory equations for projecting enrollment. 3. The third purpose was to compare projected 1979- 1980 academic year enrollment figures obtained from explanatory equations for each institution with actual enrollment figures of each institution for that year. 4. The fourth purpose was to compare the explanatory equations developed for the two institutions and the projections of student semester credit hour enrollments they yielded. 5. The fifth purpose was to discuss enrollment projections for each institution and the uses of enrollment projections in planning.

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vi, 141 leaves

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  • December 1981

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  • Aug. 22, 2014, 6 p.m.

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  • June 13, 2018, 1:06 p.m.

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Brooks, Dorothy Lynn. Short-Term Enrollment Projections Based on Traditional Time Series Analysis, dissertation, December 1981; Denton, Texas. (https://digital.library.unt.edu/ark:/67531/metadc332188/: accessed April 16, 2024), University of North Texas Libraries, UNT Digital Library, https://digital.library.unt.edu; .

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