News, Views and Careers for All of Higher Education
Jan. 25, 2006
U.S. News and the National Research Council have some new competition in the rankings business — from a business that takes a very different approach to evaluating universities.
In recent weeks, a company called Academic Analytics has started selling its research to universities as a tool for evaluating graduate programs. More than 10 universities have already purchased the service, which promises a better way to analyze how productive departments are and how they compare to other departments. The new business is being talked about among graduate deans and institutional research leaders, but faculty members whose output is being analyzed are largely unaware of the tool.
Some experts believe that the company — which is based on a graduate dean’s research — offers a much better way to measure program quality than anything that is out there now. The tool seems to be particular popular among up-and-coming research universities that want to demonstrate their quality. But others who have been briefed about the new tool are skeptical or wonder why the information should be kept secret except for those willing to buy it.
The rankings provided by Academic Analytics come from the Faculty Scholarly Productivity Index, which was developed by Lawrence Martin, dean of the graduate school at the State University of New York at Stony Brook. The index analyzes a series of measures of faculty productivity:
The company has gathered information on departments, faculty member by faculty member, for universities considered “research extensive” or “research intensive” under the categories developed by the Carnegie Foundation for the Advancement of Teaching. Combined, those categories cover most institutions offering any significant graduate education.
“What our system does is to look at the major areas of scholarly activity,” said Martin. While some of the measures are used in other rankings, this system combines them and is also set up for regular updates and a broad range of disciplines (85 in all), allowing universities to track changes from year to year and see long-term patterns. In contrast, the National Research Council’s departmental rankings are currently being revised for the first time since 1995.
Many universities are frustrated not only with the time between NRC rankings, but the generally cautious approach of the council in adding fields. Academic Analytics takes a more inclusive approach. “If you can get a Ph.D. in it, we measure it,” Martin said.
Universities that buy the service will receive reports that compare their departments to those of 10 other universities, selected by the purchasing institution. Universities can select 10 comparison institutions for all disciplines or (for an extra fee) vary the comparison institutions by discipline. The databases that produce these reports are proprietary and will not be published.
The fee structure is based on how many programs a university wants evaluated. Martin said that an institution with the broadest range of programs might spend $30,000 a year on the service while a place like Stony Brook would be able to have its departments evaluated for about $10,000.
“The only university that doesn’t need this report is the institution where every program is wonderful and equally at the top of the pack,” Martin said, adding that he thought the reports would be a great tool for deans seeking to figure out which departments could improve, which needed more resources and attention, and so forth.
He declined to release the names of those that have already purchased the service, but officials of the State University of New York at Albany and the University of Cincinnati confirmed that they are among them. Generally, Martin said, the universities buying have been those on the rise rather than those that have been known for decades for their top research departments.
Opinions about the service and its use vary among those who have been discussing it. Several university administrators said that they were intrigued by the idea, but didn’t think their faculty members would like it and that they wanted to wait a bit before signing on.
Susan Herbst, provost at Albany, said that the Academic Analytics system is “not perfect,” but that the breadth of its rankings across disciplines was much better than what the NRC offers. She also said that the service provided by the new company was superior, and that she also planned to make use of rankings from The Center, a University of Florida program that evaluates research universities.
Herbst said that having multiple evaluations is a good thing. “Since we are moving this university ahead dramatically, we’ll take all the data we can get and then triangulate,” she said. “The more independent bodies that can help us assess quality, the better. It’s nearly impossible for senior faculty, or even a stellar graduate dean, to judge where their programs sit on the national scene.”
Robert Frank, dean of the graduate school at Cincinnati, said that the NRC rankings are “a bit old,” and that state officials are pushing hard for measures of the quality of programs, making the new service attractive. “I like having these sorts of data available when we come to the table.”
David Hardesty, president of West Virginia University, said he hasn’t been approached about using the service, but that he could see why it would be popular with administrators. “In the private sector, data comparisons like this are common,” he said. “Higher education needs to be more data driven” in discussions about faculty productivity, he added.
Some are waiting before deciding whether to use the service and are attending briefings about it. Officials from the company are soon meeting with the institutional research officials of members of the Association of American Universities.
Julie Carpenter-Hubin, director of institutional research and planning at Ohio State University, said she’s interested in the project because “current data sources on faculty scholarship are limited” and there’s a lot of interest in finding ways to make comparisons. “Academic Analytics is capturing that kind of information. A big part of what they are selling is the comparison,” she said.
Carpenter-Hubin said she will be watching to see how the company’s clients use the data, and whether they find it valid.
Lydia Snover, assistant to the provost at the Massachusetts Institute of Technology, said that she was originally “quite negative” about the idea, but that after receiving a pitch, she believes that the concept “has some potential.” Snover said that people who lead universities very much want new measures of faculty productivity. But she said that the data may be of less value when a university knows that it has some departments that are already on top of any rankings.
There is also the issue of checking the accuracy of the data. Because the database is proprietary, universities won’t generally see the information about their departments without making a purchase.
Elizabeth Capaldi, vice chancellor of the SUNY system, is also co-editor of the work of the Florida center on ranking research universities. That project is currently expanding to look at departments, not just entire universities. Capaldi noted that The Center’s data are public — so any university can challenge the basis for rankings. “The data should be checkable,” she said. “It’s very important to be able to correct errors, to understand the methodology.”
In response to such concerns, Academic Analytics has shared some of its data with some universities, but officials at some of those institutions have been trading e-mail messages asking one another why they should check the data to enable a business to make money.
John V. Lombardi, who founded the Florida center and is the other editor of its project, said that he has heard that many academics are “not entirely comfortable with the profit-making model” used by Academic Analytics. Lombardi, chancellor of the University of Massachusetts at Amherst, is also a columnist for Inside Higher Ed.
In terms of methodology, Lombardi said that he was bothered by the lack of differentiation among journals (some of which are easy to publish in and others of which are quite difficult) and for a lack of precision about works with multiple authors. He said that there may be other flaws as well, but that he can’t see all parts of the methodology as a non-subscriber to the service.
Still, he predicted that there would be demand for what the company is offering. “The desperation to prove institutional excellence will surely encourage some universities to subscribe just as most universities, whose administrators and faculty know better, nonetheless collaborate in helping U.S. News make a high profit on the dubious rankings they produce,” he said.
If the Academic Analytics project is raising both interest and eyebrows now, there is another wrinkle that could make the project even more controversial down the road. The data reported is by department, not individual. But all of the data is gathered faculty member by faculty member so the system could allow for comparisons of individual professors on all of the factors in the system.
Academic Analytics officials state that while they have “unit record data” (meaning data on individuals), only the departmental aggregate data will be sold. But when explaining this policy, Martin said the company is not going to use the individual data “for the moment.”
He said that he worried that data on individuals might not be good to use from any one single year and that his fear was that administrators with data on individuals “would hand out pink slips without thinking.”
Asked to define “for the moment,” he said that the company is in the process of creating an academic advisory board to see if it has made “good decisions” on many issues, including its non-release of individual records, and that the company “might think about” different approaches in the future. But he reiterated that there are no plans to sell individual data now.
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This sounds like a wonderful education tool. We all know that rigor is what we all strive for, and rigor is best defined through standardization—in fact rigor only exists to me if it can be standardized. Corporate models have done such great things for America, we need to let these same innovations take over all of education and this wonderful tool will help take us to the next level of efficient education.
Klause Winkler, Ph.D., Dean of Faculty Death by Assesment at Standardized University, at 8:45 am EST on January 25, 2006
These measures all focus on faculty research productivity. That is not unrelated to graduate program quality, but it is not identical to it. So many things are missing from this measure if it truly is to measure the quality of a department’s graduate training. For one, it doesn’t look at what happens to graduate students! How many of them find jobs? Where? How many of them publish— while in graduate school and afterward? What fraction of graduates eventually earn tenure, and where?
Since it is secret we cannot know whether this tool is valid or not, but we can be pretty sure it is not measuring gradaute program quality. I’ve seen “non productive” professors (low publication rates, few grants) produce amazing students and vice versa. Measuring faculty quality is different from how well they train graduate students.
That said, I think this might be a wonderful tool for comparing the research and prestige of different departments in a university.
William Siverson, Professor at University of Illinois, at 9:51 am EST on January 25, 2006
This is a good step in the right direction. I don’t think this project was ever intended to measure overall quality of the program, but rather to show one facet of a sucessful research program.
I don’t see why anyone should object to having more knowlage, though the financial cost is rather steep.
Kevin, Undergraduate, at 12:42 pm EST on January 25, 2006
Thanks for the observation, Klause. I appreciate the distaste you seem to demonstrate for “single measures,” in this case teaching, which might appear to be the point of my first response to the article.
But my point point isn’t that “if you can’t measure it, it doesn’t exist.” My point is something different: does this new measure have any sort of relationship to the quality of education, supposedly the main point of educational institutions?
The measure “promises a better way to analyze how productive departments are and how they compare to other departments.” But isn’t this likely to turn out to be a matter of how prestigious departments are to begin with (so faculty have lower teaching loads, more opportunity for release time, higher likelihood of access to publication _simply because of where they are_)? Will it be a question of the rich getting richer?
And what is “productivity” in this situation? Is “productivity” the number of publications (which might be regarded as building up the body of common or specialized knowledge) or grants (which might take the faculty member away from teaching, leaving students in the hands of less able instructors)? Is that “productive"? Are “awards and honors” clearly indicative of institutional engagement, effective teaching, and so forth? Or are they more likely to be recognition of the individual from outside, and not especially reflect the “productivity” of the faculty member in teaching, working with students, etc.?
Siverson’s remark is in the same direction as mine: is “research productivity” related to “graduate program quality"? Do good research faculty members also demonstrate the teaching and mentoring skills that lead to a good graduate school experience for students? Where’s the evidence of this?
Take a look at the website mentioned in the article. After a banner announcing “Benchmarking Academic Excellence,” the slightly buried phrase emerges that the program will study variables that “serve as useful predictors of a program’s reputation."Is that what you want to know? Or do you want to know how to be more effective in the work you do and how to help your students succeed?
Rich Sherry, Dean at Bethel University, at 1:55 pm EST on January 25, 2006
I think we want to know all of the above. Research productivity is one facet. Personal attention, reputation, faculty teaching ability are others. Classes sizes, where applicable, are another factor.
We want to look at all the facets. I don’t think that in a well-designed program, knowing more about any one facet will mean that the other facets are no longer important. All the facets together make the quality of education.
I also get the sense that the attitude from some is one of “what I don’t know can’t hurt me” which is a very poor basis to run a university on.
Kevin, Undergraduate, at 3:22 pm EST on January 25, 2006
Very interesting article, truly — for RESEARCH institutions. Where are the measurements of productivity for selective liberal arts schools whose focus is on TEACHING?????
Theo. R. Leverenz, Ph.D., Owner at EPPA Consulting, at 3:22 pm EST on January 25, 2006
The Delaware Study of Instructional Costs and Productivity, at http://www.udel.edu/ir, is a beginning.
Rich Sherry, Dean at Bethel University, at 4:31 pm EST on January 25, 2006
“Measuring Organizational Effectiveness in Institutions of Higher Education,” Kim Cameron, Administrative Science Quarterly, Vol. 23, No. 4. (Dec., 1978), pp. 604-632.
R.A. Shaw, at 7:10 pm EST on January 25, 2006
Looks like it to moi —
http://www.insidehighered.com/views/2006/01/24/miller
R.A. Shaw, at 7:10 pm EST on January 25, 2006
The discussion of this article about my work with Academic Analytics, LLC on faculty scholarly productivity has been of great interest and I would like to address a few major points that have been raised.
1. FSP is not primarily a system for ranking universities It is designed to measure and compare faculty scholarship at the discipline level so that people can see how they’re doing in one area of scholarship compared to others and how their activity compares to their peers and to national benchmarks. The discipline level results can be aggregated to whole university comparisons but that is not where the information will be most useful in terms of developing actions for improvement. As an extreme example, two universities may sit at the national mean when aggregated across all disciplines but one could have all programs that were of average quality while the second could have half of its programs the best in the nation and half the worst in the nation. Very different approaches might be taken to improve two such schools. It is at the department/discipline/program level that activity is based and that is why it is essential to measure scholarship at the discipline level if you seek to promote improvement.
2. Academic Analytics, LLC has set out to measure faculty scholarly productivity. We do not pretend that this results in a comprehensive assessment of doctoral education. Fortunately, that work is done regularly by the National Research Council and we are delighted that they are embarking on a new study and will be pleased to support their effort in any way. Obviously, the scholarly environment sets important parameters within which doctoral education takes place. FSP is thus a measure of faculty scholarship and an indicator (using John Lombardi’s valuable distinction) of doctoral program quality.
3. Academic Analytics has built a database (FSP 2004) limited initially to 352 research universities (those that award the Ph.D. in the 107 fields in which we rate a program and where program faculty numbers are sufficient to enable credible per capita comparisons of faculty scholarly productivity). Our reason for beginning with this group is that faculty at research universities typically enjoy much lighter teaching loads than colleagues at four year colleges and a major rationale for this is to enable them to be active in scholarship and research. Measuring this scholarly activity in a comparative context seems to be essential for universities who are careful stewards of our faculty resources. Ultimately, this study could be extended to any organization for which it is argued that the quality of its programs results from the academic excellence of the faculty. One step at a time...
4. Our work is not secretive in the way that some readers have assumed. We have defined our measures and our algorithms publicly at meetings and are willing to make the details of the methods and algorithms available to anyone who has an interest. The results themselves are available only to subscribers as they are our clients. However, the full dataset can be made available on request to higher education researchers who wish to pursue other lines of work using this unique data resource or who wish to validate our own analyses.
Lawrence Martin, at 4:30 pm EST on January 27, 2006
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Does this miss the point?
Not one word about teaching, about work with students, about the whole point of the education establishment, from the public’s point of view. While this may provide research universities a measure by which to compare themselves with others, any public knowledge of the service is liable to rebound against the institution. “You invested how much money to compare the publication output of the classics department with whom? And class size is what? Skip the comparisons and hire another faculty member!”
And what will the state legislatures say about this? Where are the Student Credit Hours generated by tenured and tenure-track faculty? That’s productivity that matters to the people paying the bills.
For all the criticism of the assessment of student learning, at least it’s intended to improve something that matters to the tax-paying and tuition-paying public, and it has to have the participation of everyone involved. This assessment process sounds a little like a parent having someone come in and critique his child’s hairstyle against that of the neigbor kid, and without telling the family member involved. Those being evaluated have no say in the matter, and it’s hard to say how useful the comparison will be, since by itself it’s not likely to change anything.
Richard Sherry, Dean of Faculty Growth and Assessment at Bethel University, at 6:30 am EST on January 25, 2006