PhD students often stop at statistical significance and miss what matters. Report effect sizes and confidence intervals instead. A 95% confidence interval tells you the range where the true effect likely sits, not just whether something is real.
We don't want to report significance without saying the effects I see. What am I measuring? What are my confidence intervals? And if you look at bell curves and how they're spread out, and 95% is within a certain number of standard deviations, well, my interval could be here or my interval could be here for 95%. So, be aware again of what we're reporting and what the numbers actually tell us. And then is there a practical interpretation of this? Or am I just reporting to find out that ice cream sales are correlated with murders? Drop the word help in the comments and I'll send you the link for my free dissertation help community.
