- Thread starter leodzb
- Start date
- Tags f value regresion analysis

Some authors may feel that they are presenting more results that look technical. Though, what this showed me was hey you have quiet a few predicts given your sample size. I have no idea the context around this model, but it could be overfitted.

1) If you haven't reported the actual means/effect sizes, the F statistic can be more useful as a way to back-calculate the effect size than the p value (since the p value will often be a very small number that may not reported precisely, e.g. "p < .001")

2) It allows readers and reviewers to check at least a small part of your calculation process. People report p values that don't line up with the reported intermediary test statistics a surprisingly large proportion of the time (anecdotally)