Library Impact Data Project (LIDP)

Lead institution: Huddersfield University
Project home page:
Project hypothesis:
That there is a statistically significant correlation across a number of universities between library activity data and student attainment
See here for some comments from the project on the hypothesis, and further discussion of the implications of the evidence
There answer is a YES!
There is statistically significant relationship between both book loans and e- resources use and student attainment. And this is true across all of the universities in the study that provided data in these areas. In some cases this was more significant than in others, but our statistical testing shows that you can believe what you see when you look at our graphs and charts!
Where we didn't find a statistical significance was in entries to the library, although it looks like there is a difference between students with a 1st and 3rd, there is not an overall significance. This is not surprising as many of us have group study facilities, lecture theatres, cafes and student services in the library. Therefore a student is as just likely to be entering the library for the above reasons than for studying purposes.
We want to stress here again that we realise THIS IS NOT A CAUSAL RELATIONSHIP! Other factors make a difference to student achievement, and there are always exceptions to the rule, but we have been able to link use of library resources to academic achievement.
Project description
This project aims to prove a statistically significant correlation between library usage and student attainment. Using activity data from three separate systems and matching these against student records which are held in a fourth system, this project will build on in- house research previously undertaken at the University of Huddersfield. By identifying subject areas or courses which exhibit low usage of library resources, service improvements can be targeted. Those subject areas or courses which exhibit high usage of library resources can be used as models of good practice.The partner Universities represent a cross- section of size and mission and will provide a rich data set on which to work.
Extracting data
Processing data
Further work
The project suggests the following further work.