Ranking political science programs: a view from the lower half.
Part of a special section on the National Research Council's relative rankings of political science departments within U.S. colleges and universities. The writers contend that rating academic departments, as the National Research Council has done, can be modeled successfully and parsimoniously with...
| Publicado en: | PS: Political Science & Politics Vol. 29; pp. 149 - 155 |
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| Autores principales: | , |
| Formato: | Artículo |
| Publicado: |
Cambridge University Press
June 1996
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ssf&AN=512799244&site=ehost-live header: @attributes: shortDbName: ssf uiTerm: 512799244 longDbName: Social Sciences Full Text (H.W. Wilson) uiTag: AN controlInfo: bkinfo: jinfo: jid: 10490965 PSP jtl: PS: Political Science & Politics issn: 10490965 maglogo: N pubinfo: dt: June 1996 vid: 29 pid: 15979 pub: Cambridge University Press artinfo: ui: 512799244 ppf: 149 ppct: 6 formats: tig: atl: Ranking political science programs: a view from the lower half. aug: au: Katz, Richard S. Eagles, Munroe su: National Research Council (U.S.) Political science education Academic departments University rankings sug: subj: National Research Council (U.S.) Political science education Academic departments University rankings ab: Part of a special section on the National Research Council's relative rankings of political science departments within U.S. colleges and universities. The writers contend that rating academic departments, as the National Research Council has done, can be modeled successfully and parsimoniously with a six-variable model of the “determinants of ratings success.” They estimate the parameters of this six-variable model and demonstrate that the most statistically robust and important predictor of ratings success—department size—mirrors a characteristic of departments that is beyond departmental control and that has no direct bearing on the quality of the departments concerned. They conclude that it may be wiser to evaluate departments within the constraints imposed by their size. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: N holdings: @attributes: islocal: N |
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