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62
Los Angeles Community College District with 99,000 full time equivalent students, to
the smallest, Feather River Community College with 1,800. In order to conduct valid
comparative peer analysis, districts must be identified by core characteristics such as
size, location, and the number of campuses within the district. This information is
readily available from the California Community College Chancellor’s Office. The
aim is to distinguish a purposeful sample for an “apples to apples” comparative model.
Districts are disaggregated and group based on a prescribed set of criteria. Unlike the
Kansas Study, this study aims to account for differences in economic costs by limiting
the sample population to the Los Angeles MSA. Rose and Sengupta (2007) presented
cost data based on MSAs. This method of disaggregation was used in order to
compensate for the variation of teacher salaries. As the biggest component of both
instructional costs as well as overall school expenditures, comparable peer schools
must entail the same level of wage costs. The Bureau of Labor Statistics defines 15
separate metropolitan areas, grouped as Metropolitan Statistical Areas (MSA) across
the country, four of which are in the West region. Each MSA is considered to be
economically integrated and include the same Employment Cost Index (ECI). The ECI
measures changes in total compensation costs, which includes wages, salaries, and
employer costs for employee benefits. The Los Angeles MSA spans five counties:
Los Angeles, Orange, Riverside, San Bernardino, and Ventura Counties. While Rose
and Sengupta identified the value of disaggregating by MSA, their study was limited
to K-12 schools. The purpose of using a single MSA is to account for variations in
Object Description
| Title | Finance in the California community college: Comparative analysis and benchmarking of instructional expenditures |
| Author | Karamian, Martin |
| Author email | martinsfsu@netzero.com; karamim@piercecollege.edu |
| Degree | Doctor of Education |
| Document type | Dissertation |
| Degree program | Education (Leadership) |
| School | Rossier School of Education |
| Date defended/completed | 2011-03-17 |
| Date submitted | 2011 |
| Restricted until | Unrestricted |
| Date published | 2011-04-26 |
| Advisor (committee chair) | Picus, Lawrence O. |
| Advisor (committee member) |
Melguizo, Tatiana Vega, William |
| Abstract | The goals of this empirical study of community colleges are to 1) create a benchmark for per student instructional expenditures; and 2) account for variations in instructional expenditures among a peer group of community colleges in Southern California. The peer group sample included 22 single campus community college districts in the Los Angeles area. Using data for three fiscal years a refined mean benchmark value for instructional expenditures of $2,676.71 per full-time equivalent student (FTES) was estimated with a standard deviation of $326.54. Using Pearson product-moment correlation coefficient, 11 variables were correlated with instructional costs per FTES. The largest and only statistically significant determinant included the number of part-time instructors (-0.424). While other variables were correlated, none were statistically significant at the 95% confidence interval. The results from the sample suggest that larger colleges have lower instructional costs per FTES despite higher faculty pay. Expanding credit student enrollment within the funding growth limits set by the State, along with additional part-time instruction within the limits set by the State will likely result in lower instructional costs per FTES and an economy of scale effect. The effect of increased institutional size on quality of education was not assessed. |
| Keyword | finance; California; community college; comparative analysis; benchmarking; instructional expenditures; economics; higher education; spending; instruction; education; economy of scale |
| Geographic subject (state) | California |
| Geographic subject (country) | USA |
| Coverage date | 1990/2010 |
| Language | English |
| Part of collection | University of Southern California dissertations and theses |
| Publisher (of the original version) | University of Southern California |
| Place of publication (of the original version) | Los Angeles, California |
| Publisher (of the digital version) | University of Southern California. Libraries |
| Provenance | Electronically uploaded by the author |
| Type | texts |
| Legacy record ID | usctheses-m3775 |
| Contributing entity | University of Southern California |
| Rights | Karamian, Martin |
| Repository name | Libraries, University of Southern California |
| Repository address | Los Angeles, California |
| Repository email | cisadmin@lib.usc.edu |
| Filename | etd-Karamian-4454 |
| Archival file | uscthesesreloadpub_Volume23/etd-Karamian-4454.pdf |
Description
| Title | Page 70 |
| Contributing entity | University of Southern California |
| Repository email | cisadmin@lib.usc.edu |
| Full text | 62 Los Angeles Community College District with 99,000 full time equivalent students, to the smallest, Feather River Community College with 1,800. In order to conduct valid comparative peer analysis, districts must be identified by core characteristics such as size, location, and the number of campuses within the district. This information is readily available from the California Community College Chancellor’s Office. The aim is to distinguish a purposeful sample for an “apples to apples” comparative model. Districts are disaggregated and group based on a prescribed set of criteria. Unlike the Kansas Study, this study aims to account for differences in economic costs by limiting the sample population to the Los Angeles MSA. Rose and Sengupta (2007) presented cost data based on MSAs. This method of disaggregation was used in order to compensate for the variation of teacher salaries. As the biggest component of both instructional costs as well as overall school expenditures, comparable peer schools must entail the same level of wage costs. The Bureau of Labor Statistics defines 15 separate metropolitan areas, grouped as Metropolitan Statistical Areas (MSA) across the country, four of which are in the West region. Each MSA is considered to be economically integrated and include the same Employment Cost Index (ECI). The ECI measures changes in total compensation costs, which includes wages, salaries, and employer costs for employee benefits. The Los Angeles MSA spans five counties: Los Angeles, Orange, Riverside, San Bernardino, and Ventura Counties. While Rose and Sengupta identified the value of disaggregating by MSA, their study was limited to K-12 schools. The purpose of using a single MSA is to account for variations in |
