Between a Graph and a Hard Place

The right data for the job

May 2020

Imagine that different types of data are different people that you are interviewing for a job. The job is to answer a specific research question. You want to know what their qualifications are—will they do a good job? Are their strengths a good match for the task? Like we’ve mentioned before, if there are issues …

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Correlation doesn’t equal causation (but it does equal a lot of other things)

May 2020

Correlation ≠ causation Data are pieces of information, like the number of books checked out at the library or reference questions asked. Those pieces of information are simply points on a chart or numbers in a spreadsheet until someone interprets their meaning. People create charts and graphs so that we can visualize that meaning more …

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Do the Data Have an Alibi?

May 2020

It’s hard to know who you can trust out there. “Fake news” is now a prevalent concept in society and the internet makes it possible for anyone to publish—well, anything. As library professionals, you’ve probably already acquired a great deal of experience determining the credibility of sources. Many of the same skills are needed to …

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How to Compare Apples to Oranges

April 2020

As our brains process information, we constantly make comparisons. It’s how we decide if something is good or bad—by it being better or worse than something else. However, like apples and oranges, not all things can readily be compared, even if they appear similar enough on the surface. We often make this mistake with data …

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