Category Archives: Chapter 12

Research That Matters, Testing That Counts

How many students would vote to have more tests in their classes?  It’s hard to imagine that adding more tests would increase instructor popularity, but new research indicates that when testing is done in the right way, it can increase … Continue reading

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Crossing the Political Line?

In the Big Data world, a small experiment can have a big impact.  Stanford University political scientists Adam Bonica and Jonathan Rodden, and Dartmouth’s Kyle Dropp designed a Big Data experiment to test whether information on the ideological preferences of … Continue reading

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Still Lying With Statistics?

Sixty years after the publication of Darrell Huff’s 1954 classic, How to Lie With Statistics, it might seem that no one could imagine getting away with any such skullduggery any more.  But wait…there must be something causing the dramatic recent … Continue reading

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