## How do you discuss non-significant results in discussion?

Talk about how your findings contrast with existing theories and previous research and emphasize that more research may be needed to reconcile these differences. Lastly, you can make specific suggestions for things that future researchers can do differently to help shed more light on the topic.

## How do you present non-significant results?

A more appropriate way to report non-significant results is to report the observed differences (the effect size) along with the p-value and then carefully highlight which results were predicted to be different.

**What does it mean if the result is not significant?**

Null or “statistically non-significant” results tend to convey uncertainty, despite having the potential to be equally informative. When the probability does not meet that condition, the program result is null, i.e. there is no statistically significant difference between the treatment and control groups.

**What is the difference between insignificant and non-significant?**

As adjectives the difference between insignificant and nonsignificant. is that insignificant is not significant; not important, consequential, or having a noticeable effect while nonsignificant is (sciences) lacking statistical significance.

### How do you conclude non-significant results?

This is done by computing a confidence interval. If all effect sizes in the interval are small, then it can be concluded that the effect is small. For example, suppose an experiment tested the effectiveness of a treatment for insomnia.

### Is insignificant non-significant?

**What is a non-significant p-value?**

The p-value can be perceived as an oracle that judges our results. If the p-value is 0.05 or lower, the result is trumpeted as significant, but if it is higher than 0.05, the result is non-significant and tends to be passed over in silence.

**What does significant and not significant mean in statistics?**

The smaller the p-value, the stronger the evidence that you should reject the null hypothesis. A p-value less than 0.05 (typically ≤ 0.05) is statistically significant. A p-value higher than 0.05 (> 0.05) is not statistically significant and indicates strong evidence for the null hypothesis.

#### What is a non significant result in statistics?

Non-significance in statistics means that the null hypothesis cannot be rejected. In laymen’s terms, this usually means that we do not have statistical evidence that the difference in groups is not due to chance.

#### What is the difference between non significant and insignificant?

Nonsignificant/insignificant In scientific writing, the word significant is typically synonymous with “statistically significant.” Nonsignificant means the opposite, or “not statistically significant.” In contrast, insignificant usually implies unimportance, without statistical connotations.