How to calculate sample size with G* Power #gpower

In this video, we'll walk you through one of the most popular tools for determining the required sample size in scientific research. Whether you're conducting a study in psychology, medicine, or social sciences, G*Power makes it easy to perform power analyses for various statistical tests. Topic Covered: Test Family: Learn how to select the right test family (e.g., t-tests, ANOVA, chi-square, etc.) for your research design. Test Technique: Understand how to choose the appropriate test technique (e.g., one-tailed vs. two-tailed tests, effect size selection) depending on the type of hypothesis you're testing. Effect Size and Power: Get insights on how to input the correct effect size and power level for accurate sample size calculation. 🔗 Download G*Power Software: https://www.psychologie.hhu.de/arbeit... Make sure to like, comment, and subscribe for more tips on research tools and methods!