How do I interpret statistical results in education research?

How do I interpret statistical results in education research?

Interpreting statistical results involves understanding key metrics like p-values, confidence intervals, and effect sizes. What specific results are you looking at?

I have a p-value of 0.03. What does that mean?

A p-value of 0.03 suggests that there is a 3% probability that the observed results are due to chance. Typically, a p-value below 0.05 is considered statistically significant.

What about confidence intervals? How should I read them?

Confidence intervals provide a range of values within which we can be confident that the true effect lies. For example, a 95% confidence interval means we can be 95% sure the true value is within that range.

Can you explain effect size?

Effect size quantifies the strength of a relationship or the magnitude of an effect. It helps to understand the practical significance of results, beyond just statistical significance.