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The Faculty Scholarly Productivity Index™ (FSP Index) and FSP Database are methods for evaluating doctoral programs at Research Universities (across all Carnegie research classifications), based on a set of statistical algorithms developed by Lawrence Martin, Ph.D. and Anthony Olejniczak, Ph.D.. The FSP Index measures the annual productivity of faculty on several factors including:
- Publications (books and journal articles)
- Citations of journal publications
- Federal Research Funding
- Awards and Honors
The FSP analysis creates, at the discipline level, a scale based on the cumulative scoring of a program's faculty using these measures compared against national standards. Each program can then be compared to the national mean z-score.
Individual program scores can then be combined to demonstrate the quality of the scholarly work within broad fields as well as the entire university. When analyzed over time, a full picture of the direction of the program or university research can be realized.
By compiling the individual faculty activity into indexes foreach Ph.D. program, one can truly assess the research strength of a university.
The FSP Index is unique in its focus on concrete data relating to faculty scholarly productivity. The FSP Index contains no reputational assessments, and is unrivaled in the depth and detail of its content - even compiling data in areas where other assessments have fallen short (e.g. book publications).
The FSP Database is an in-depth data tool for institutions interested in having even more information at their fingertips. The FSP Database includes the FSP Index, as well as the data underlying it, and much more.
The FSP Index is produced annually. Our 2004-2005 and 2005-2006 Reports were utilized on more than 50 campuses across the country, and the 2006-2007 Reports are available now. Please contact us for more information.
The FSP Index is an ideal tool for:
- program assessment and evaluation
- strategic planning initiatives
- observing trends in faculty productivity
- benchmarking over time and against national standards
- ROI analysis
- guiding allocation decisions
- identifying areas of strength
- institutional researchers
For more on the background on the concepts behind FSP, read "Towards a better way to rate research doctoral programs" a position paper by Joan Lorden & Lawrence Martin.
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