Posts tagged "quantitative"
from Tiny Studies

What Happens When Ebooks Are Free-to-Read?

Image of a Google impact map, depicting content requests by world location.

Between March 20 and August 31, 2020, the University of Michigan Press made all the titles in the Library-hosted ebook collection, UMP EBC, free-to-read. During this period, U-M Press staff gathered use data in the hope of assessing the impact of free-to-read content while informing the future business strategy. Three different assessment efforts are described in this post.

How Undergraduates Evaluate Sources

Photo of a card sorting exercise, with 5 columns of content attached to a wall.

Source evaluation is an important skill in our information landscape, which is why librarians teach this concept to students during course-integrated information literacy sessions. As part of an IMLS grant, our research team is conducting a two part study to understand the impact of library instruction on students’ evaluation of sources. In this post, we discuss the use of a questionnaire and role-playing interviews to learn more about students’ confidence in their evaluation abilities.

Approaches to Library Assessment Using Multiple Data Sources

Image of 3 circles, representing a survey, a data store, and a library shelving area.

This blog post presents how the use of multiple streams of data benefited two recent U-M Library studies. For example, one recent study merged survey data, U-M human resources data, and Library document delivery data to provide a very rich picture of how diverse groups on campus use and experience the Library’s document delivery service. Some advantages of joining multiple data sources in assessment projects are discussed in the context of the two example studies.

So, We’ve Got This Data… (Part 2)

Line image of questions to ask about data: what do we want to know, what could data show, who do we want to show, why do we want to know, and what does the data represent.

Chances are the work processes you already have in place are generating data that you could be using to learn more about those processes. In this second blog post, the author continues to highlight steps for working with data that is generated by your daily tasks.

So, We’ve Got This Data… (Part 1)

Line image of questions to ask about data: what do we want to know, what could data show, who do we want to show, why do we want to know, and what does the data represent.

Chances are the work processes you already have in place are generating data that you could be using to learn more about those processes. In two blog posts, the author shares some steps for working with data that is generated by your daily tasks.

Data Collection and Assessment in Human Resources

Image of bar chart and magnifying glass

Assessment and research activities focused on the U-M Library faculty, staff, and student experiences are happening regularly, and often the Library Human Resources (LHR) team is contributing to these activities if not leading the research. This work can focus on quantitative data, qualitative data, or take a hybrid approach, and can involve surveys, interviews, and/or some general number-crunching. This post looks over some recent HR assessment projects.

The Role of the IRB in U-M Library Assessment and Research

Text: Keep Calm and Don't Forget About IRB Review

When planning an assessment project in the Library, one important step is to consider whether your project should be vetted by the Institutional Review Board (IRB) at U-M, a committee that ensures studies with human subjects are ethical, that subjects are protected from unnecessary psychological or physical risks, and that subjects are participating in a fully informed, voluntary manner. This post details when your data collection may be subject to a full IRB application and review process.

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