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Empirical Research and Statistical Analysis course

Thomas Quettier PhD

🎓 Introduction

Conducting research often involves analyzing data collected through experiments. To support this process, a wide range of software tools is available, providing capabilities for data exploration, statistical analysis, and graphical representation.

Researchers must carefully choose tools that balance efficiency, ease of use, and cost. Two powerful and accessible options for data analysis are Excel and Jamovi:

Course Objectives

This course will introduce participants to data analysis using Excel and Jamovi, covering:


🛠️ Software Requirements

Follow the instructions at this link to prepare your system for the course.


🗂️ Course Modules

Day 1: Introduction to Empirical Research

Topics: Measurement issues, research designs, and data collection.

Day 2: Introduction to Statistics

Topics: Descriptive statistics and graphical representation.

Day 3: Statistical Hypothesis Testing

Topics: Null hypothesis testing, t-test, and Chi-square test.

Day 4: Correlation and Regression Analysis

Topics: Correlational analysis, simple and multiple linear regression, and hierarchical regression.

Day 5: Comprehensive Exercises

Practice: Application of all course topics.

Day 6: Final Test


🕒 2024 Course Schedule

Day Time
Wednesday 27 November 9:00-13:00
Wednesday 04 December 9:00-13:00
Wednesday 11 December 9:00-13:00
Wednesday 18 December 9:00-13:00
Thursday 19 December 9:00-11:00
Wednesday 08 January 9:00-11:00

Please read credit and licences