Overview

Sample size calculation and statistical power analysis are essential steps in academic research, theses, dissertations, surveys, experiments, and scientific studies. Many researchers face difficulties in deciding how many participants or observations are needed for their study, which may affect the accuracy, reliability, and validity of their results.

This short practical course is designed to introduce participants to G*Power software and help them understand how to calculate sample size, statistical power, effect size, and significance level for different types of statistical tests.

The course focuses on practical application, using real research examples to guide participants step by step from selecting the correct test to interpreting the required sample size for their research projects.

Objective

The main objective of this course is to help participants use G*Power confidently for calculating sample size and conducting power analysis in academic and applied research.

By the end of the course, participants will be able to select the appropriate statistical test, define effect size, set alpha level and power, calculate the required sample size, and interpret G*Power results for theses, dissertations, research papers, and institutional studies.

Training Skills Acquired

By the end of this course, participants will be able to:

• Understand the basic concept of statistical power.
• Understand sample size calculation and its importance in research.
• Use GPower software practically.
• Identify the correct statistical test for power analysis.
• Understand alpha level, power, effect size, and sample size.
• Calculate sample size for t-tests.
• Calculate sample size for correlation and regression studies.
• Calculate sample size for ANOVA and group comparison studies.
• Interpret GPower outputs correctly.
• Apply G*Power results in research proposals, theses, dissertations, and academic papers.

Main Topics Covered

The course will include practical training on:

• The course will include practical training on:
• Introduction to GPower software.
• Importance of sample size in scientific research.
• Basic concepts of power analysis.
• Alpha level, statistical power, effect size, and sample size.
• Selecting the correct statistical test.
• Sample size calculation for t-test.
• Sample size calculation for correlation.
• Sample size calculation for ANOVA.
• Interpreting and reporting GPower results.

Course Schedule

Duration: 2 days

Audience

This course is suitable for:

• University and college students.
• Master’s and PhD students.
• Researchers and academics.
• Lecturers and teaching staff.
• Data analysts and research assistants.
• Medical, social science, management, and education researchers.
• Anyone preparing a research proposal, thesis, dissertation, or academic paper.

Place and Date of Training

Start Date: July 2026
Duration: 2 days
Start Time: 9:15 PM
Online Format: Zoom

How to Register

To register for the course, please fill out the information through the following link:

https://forms.gle/wdVkG5EDMCb5rJtx9

For more information, please contact us:

WhatsApp: + 964 750 422 3839

Course Instructor

Asst. Prof. Dr. Alan Ghafour Rahim
Department of Statistics and Informatics
Salahaddin University – Erbil

Requirements

• Participants are encouraged to bring their own laptops.
• It is recommended that G*Power software be installed before the start of the course.
• Basic knowledge of research methods or statistics may be helpful, but it is not required. The course is designed to guide participants step by step.

We hope to see you at the course!