  While providing the resources and tools that make advanced research possible
is a primary mission of academic libraries at large research universities, many
other elements also contribute to the success of the research enterprise, such
as institutional funding, staffing, labs, and equipment. This study focuses on
U.S. members of the ARL, the Association for Research Libraries. Research
success is measured by the total grant funding received by the University,
creating an ordered set of categories. Combining data from the NSF National
Center for Science and Engineering Statistics, ARL Statistics, and IPEDS, the
primary explanatory factors for research success are examined. Using linear
regression, logistic regression, and the cumulative logit model, the
best-fitting models generated by ARL data, NSF data, and the combined data set
for both nominal and per capita funding are compared. These models produce the
most relevant explanatory variables for research funding, which do not include
library-related variables in most cases.

Digital Libraries;Applications