Improving the utility of non-significant results for educational research: A review and recommendations

When used appropriately, non-significant p-values have the potential to further our understanding of what does not work in education, and why. When misinterpreted, they can trigger misguided conclusions, for example about the absence of an effect of an educational intervention, or about a difference in the efficacy of different interventions. We examined the frequency of non-significant p-values in recent volumes of peer-reviewed educational research journals. We also examined how frequently researchers misinterpret non-significance to imply the absence of an effect, or a difference to another significant effect. Within a random sample of 50 peer-reviewed articles, we found that of 528 statistically tested hypotheses, 253 (48%) were non-significant. Of these, 142 (56%) were erroneously interpreted to indicate the absence of an effect, and 59 (23%) to indicate a difference to another significant effect. For 97 (38%) of non-significant results, such misinterpretations were linked to potentially misguided implications for educational theory, practice, or policy. We outline valid ways for dealing with non-significant p-values to improve their utility for education, discussing potential reasons for these misinterpretations and implications for research.