Gambling Behavior in the United States: A Data-Driven Learning Guide (ICPSR 310)
Data-Driven Learning Guides are a collection of instructional exercises that can be used to enhance teaching of core concepts in the social Sciences. This learning guide investigates gambling behavior and characteristics of gamblers in the United States. Research questions that can be explored using this learning guide include: how many people gamble and what types of gambling are most popular, whether gambling behavior differs by gender or by income level, how many people are problem gamblers, and how gambling and mental health might be related. Using frequencies, crosstabulation, and bar charts, this exercise also illustrates the role of confounding variables in statistical relationships.
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