An Empirical Classification of U.S. Medical Schools by Institutional Dimensions. Final Report / Michael G. McShane.
In a related study, factor analysis was applied to reduce a selected set of medical school characteristics to their principal dimensions. In this study, the results were then used as input to a series of multivariate cluster analyses that isolated clusters of medical schools that were similar to eac...
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| Main Author: | |
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| Corporate Author: | |
| Language: | English |
| Published: |
[Place of publication not identified] :
Distributed by ERIC Clearinghouse,
1977.
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| Subjects: | |
| Genre: | |
| Physical Description: | 51 pages |
| Format: | Microfilm Book |
MARC
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| 100 | 1 | |a McShane, Michael G. |0 http://id.loc.gov/authorities/names/n50007874 | |
| 245 | 1 | 3 | |a An Empirical Classification of U.S. Medical Schools by Institutional Dimensions. Final Report / |c Michael G. McShane. |
| 260 | |a [Place of publication not identified] : |b Distributed by ERIC Clearinghouse, |c 1977. | ||
| 300 | |a 51 pages | ||
| 336 | |a text |b txt |2 rdacontent | ||
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| 500 | |a Sponsoring Agency: Health Resources Administration (DHEW/PHS), Bethesda, MD. Bureau of Health Manpower. |5 ericd | ||
| 500 | |a Contract Number: 231-76-0011. |5 ericd | ||
| 500 | |a ERIC Note: For related documents, see HE 008 822 and HE 008 823 ; Tables and appendices may be marginally legible due to small print of the original. |5 ericd | ||
| 500 | |a Educational level discussed: Higher Education. | ||
| 520 | |a In a related study, factor analysis was applied to reduce a selected set of medical school characteristics to their principal dimensions. In this study, the results were then used as input to a series of multivariate cluster analyses that isolated clusters of medical schools that were similar to each other and different from schools in other clusters on the dimensions depicted by the factor analysis. The eight clusters in the final solution each had distinctive profiles on the six factor scores. There were five clusters that consisted completely or predominantly of public schools. Three of these clusters consisted of established schools with varying profiles, while the other two were composed of new and developing schools. Of the remaining three clusters, two were predominantly private schools and one was an equal mix of public and private schools. Each cluster was also described in terms of variables selected from the original data. (Author/MSE) | ||
| 533 | |a Microfiche. |b [Washington D.C.]: |c ERIC Clearinghouse |e microfiches : positive. | ||
| 500 | |a Microform. | ||
| 650 | 1 | 7 | |a Classification. |2 ericd |
| 650 | 0 | 7 | |a Cluster Analysis. |2 ericd |
| 650 | 0 | 7 | |a Higher Education. |2 ericd |
| 650 | 1 | 7 | |a Medical Schools. |2 ericd |
| 650 | 1 | 7 | |a Private Colleges. |2 ericd |
| 650 | 0 | 7 | |a Private Schools. |2 ericd |
| 650 | 0 | 7 | |a Public Schools. |2 ericd |
| 650 | 1 | 7 | |a State Universities. |2 ericd |
| 650 | 1 | 7 | |a Statistical Analysis. |2 ericd |
| 650 | 0 | 7 | |a Statistical Studies. |2 ericd |
| 655 | 7 | |a Reports, Research. |2 ericd | |
| 710 | 2 | |a Association of American Medical Colleges, Washington, DC. | |
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