In research, statistical significance refers to the likelihood that the results observed in a study are not due to chance. This is determined through various statistical tests, typically resulting in a p-value that quantifies the probability of error in conclusions drawn from the data. A commonly accepted threshold for statistical significance is p < 0.05, indicating that there's less than a 5% chance the results are due to random variation. Understanding statistical significance is essential for validating research findings.