
doi: 10.1007/bf01006403
The National Academy of Sciences (NAS) reputational ratings of faculty often are used as indices of program quality. The underlying assumption is that these ratings are functions ofprogram-related characteristics, particularly faculty accomplishments. Consistent with this viewpoint, King and Wolfle (1987) and Saunier (1985) found that faculty reputations are best explained by program size and faculty scholarly activity. To determine whether program characteristics alone are sufficient to explain reputational ratings, this paper examines the additional contribution ofinstitutional characteristics to explain the NAS faculty reputational ratings. Three technical fields are examined: electrical engineering, mechanical engineering, and computer science. Institutional- and program-related composite variables are identified by principal components analyses. For each discipline, a multiple regression analysis shows that program characteristics strongly influence reputational ratings, but an institutional “halo effect” also exists. These findings indicate that faculty reputations and program quality are more complex phenomena than implied by models limited to program-specific factors.
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 14 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
