Quantitative Methods Questions
A type I error in hypothesis testing refers to the incorrect rejection of a null hypothesis when it is actually true. In other words, it is a false positive result where the researcher concludes that there is a significant effect or relationship when there is actually none in the population. The probability of committing a type I error is denoted by the significance level (α) and is typically set at 0.05 or 0.01 in social sciences research.