What does it indicate if a research finding has a lower level of significance?

A lower level of significance in research findings generally indicates that the results are likely not statistically significant. This means that there is a higher chance that the observed effect is due to random variation rather than a true effect. In statistical terms, a common threshold for significance is a p-value of 0.05; if results yield a higher p-value, the findings suggest that the evidence against the null hypothesis is weak. Therefore, the results may not have practical implications, signaling that the study's findings could be inconclusive or uncertain.

While the other options might imply certain qualities about the data or findings, they do not accurately reflect the concept of lower significance. Lower significance does not guarantee reliable results, nor does it confirm a high probability of validity. It also doesn’t suggest that no further testing is needed; in fact, further investigation is often warranted to explore and clarify findings that did not reach a significant level.