How do you report results that are not significant?

How do you report results that are not significant?

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.

How do you report a significant difference?

When reporting a significant difference between two conditions, indicate the direction of this difference, i.e. which condition was more/less/higher/lower than the other condition(s). Assume that your audience has a professional knowledge of statistics.

When do you report a non-significant result in a paper?

If you are reporting any result, always include the df, test statistic, and p value. And in that case, you should state the exact p-value, rather than generalising to >0.05 If you are publishing a paper in the open literature, you should definitely report statistically insignificant results the same way you report statistical significant results.

Is it important to include non-significant results in a test?

Yes, non-significant results are just as important as significant ones. If you are reporting any result, always include the df, test statistic, and p value. And in that case, you should state the exact p-value, rather than generalising to >0.05.

How do you discuss results which are not statistically significant?

In any research as important is to detect significant differences in a particular comparison, as it is the finding of no statistically significant results, and therefore should be discussed. For example, a non-significant difference can be practical and useful its application to society.

Do you include the p value of non-significant results?

So it would be something like this a Kruskal Wallis test was conducted but the results were found not to be significant H (3) = 2.119, p>0.05 (or would I state the exact p value here (.548)) Yes, non-significant results are just as important as significant ones. If you are reporting any result, always include the df, test statistic, and p value.