hatásméretokat

Hatásméret is a Hungarian term that translates to "effect size" in English. It is a quantitative measure of the magnitude of a phenomenon, such as the difference between two groups or the strength of a relationship between variables. Unlike p-values, which indicate the statistical significance of a result, effect sizes express the practical significance. A statistically significant result does not necessarily mean the effect is large or meaningful in the real world, and vice versa.

Effect sizes are crucial in research and data analysis because they provide a standardized way to compare findings across different studies. They help researchers understand how much of the variation in the outcome variable is explained by the predictor variable or how large a difference exists between treatment and control groups. Common effect size measures include Cohen's d for differences between means, Pearson's r for correlation, and odds ratios for categorical data. The interpretation of an effect size often depends on the field of study and the specific context, but general guidelines exist for classifying small, medium, and large effects. Reporting effect sizes alongside statistical significance allows for a more complete and interpretable understanding of research findings.