Common Errors in Quantitative Research

Summary: False positives and negatives are common errors in quantitative studies that can lead to harmful business decisions. To avoid these mistakes recruit large enough sample sizes, representative participants, and control for confounding variables.

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Confounding Variables in Quantitative Studies

Confounding variables interfere with quantitative studies, leading to inaccurate results. Avoid introducing such variables by randomizing your study’s conditions and keeping your research questions focused.

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Caleb Sponheim Ph.D. is a User Experience Specialist with Nielsen Norman Group. A former computational neuroscientist, his expertise includes quantitative user experience research, statistics, analytics, and data science.

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