Quantitative Analysis of Reference Help Desk Utilization Trend

This paper analyzes some useful information for the student worker arrangement of the C.C. & Mabel L. Criss Library at University of Nebraska at Omaha. The information we discover will contribute much to the resource optimization of the library and possible to other libraries. This paper used the Reference Effort Assessment Data (READ Scale) to collect data, used the Oracle database to store and extract the data, and used the EVIEWS software to analyze the data. In particular, this data set is a time series, so we used the stationary process to decide we could use ARMA (p, q) or curve fitting to build the model, studies of this nature can be very cost effective and can generate insights into the mining of the Criss Library's Database.