Start Time: Pacific - 12 Noon, Mountain - 1 PM, Central - 2 PM, Eastern - 3 PM
Presenter: Joan Frye Williams
If you suspect that better data might contribute to better decisions, you're right! Let's face it – as library services evolve, traditional statistics paint an increasingly limited picture of what's really going on. Today's library is supposed to be a "people place," yet we pay relatively little attention to people-related data. In this webinar we'll explore the human side of library measurement, taking special care to improve our understanding of our users without sacrificing confidentiality or invading their privacy.
You do not need previous knowledge of statistical methods or research techniques to benefit from this discussion. We'll focus on simple, practical approaches to analyzing:
You'll learn low and no-cost methods for gathering patron data, including the kinds of reports you can reasonably request from your IT department or automated system vendor.
Whether you're scheduling desk coverage, defending a budget, reaching out to new users, writing a grant, planning an ad campaign, or just trying to figure out which services are working well and which may need another look, this webinar will help you make sense of the patron side of the equation.
This webinar will be of interest to anyone who collects, reviews, interprets, presents, or makes decisions based on library service statistics, including library managers, supervisors, team leaders, and professional staff, other library service developers and designers, IT/systems personnel, grant writers, trustees and commissioners, and anyone who is interested in using data to improve services to library users.
Webinars are free of charge, you can pre-register by clicking on the Register Now button (at the top and bottom of this page). If registering with less than 30 MINUTES from the start of the webinar you can join directly from the thank you page by clicking the Join Now button. If you pre-registered you will receive an email with login link and a reminder email the day before the event.
Keywords: Measurement, Planning, Statistics