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Writing Lab Usage Data

Welcome to the Research area of the Purdue OWL. This section houses scholarship and research - past and present - on OWLs. Please check back as we continue to expand this section.

This page hosts selected presentations of Purdue Writing Lab's usage data, which shows just a few of the many ways the Writing Lab significantly impacts Purdue students. The drop-down menus allow you to filter results based on your interests. This research was developed in collaboration with the Purdue Office of Institutional Research, Assessment and Efficacy . We thank, in particular, Brent Drake, Monal Patel, and Meng Deng for their support and mentorship.

Writing Lab Appointments Data

Longitudinal traffic in the Writing Lab represented by numbers of appointments and broken out by academic classification. Data can be further filtered by demographic and college variables.

% of Students by Academic Classification

Longitudinal traffic in the Writing Lab represented by percentage of appointments and broken out by academic classification. Data can be further filtered by demographic and college variables.

Writing Lab Frequency of Use & GPAs by Academic Classification

Longitudinal representation of Writing Lab use and GPAs, broken out by frequency of use and academic classification. Data can be further filtered by demographic and college variables.

Writing Lab Frequency of Use & GPAs by Residency

Longitudinal representation of Writing Lab use and GPAs, broken out by frequency of use, academic classification, and residency status. Data can be further filtered by demographic and college variables.

Students by Academic Classification

Longitudinal traffic for undergraduate students in the Writing Lab represented by individual clients and broken out by academic classification. Data can be further filtered by demographic and college variables.

Graduate Traffic by Academic Program

Longitudinal traffic for graduate students in the Writing Lab represented by individual clients and broken out by academic classification. Data can be further filtered by demographic and college vairables.