Type I and Type II Errors

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Type One Error: An incorrect rejection of the null hypothesis. For example, the researcher falsely states that there is a statistically significant difference between the control group and the experimental group based on their intervention program. This can also apply to correlational tests.


Type Two Error: An incorrect acceptance of the null hypothesis. For example, the researcher does not report a significance between the control and experimental group based on an intervention when, in fact, there is. In other words, an effect truly exists, but the research reports that there is none.


Contribution by: Tom Fox, WCSU Cohort 8

Lawrence, S., Meyer, G, & Guarino, A.J. (2017). Applied multivariate research: Design and interpretation. Thousand Oaks, CA: Sage Publications

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