Introduction to Quantitative Research Methodology

Name of the PhD course
Introduction to Quantitative Research Methodology

PART I: 14-15 November 2023 -  PART II: 20-21 November 2023
14 November + 20 November: starting time 10.00 to 17.00
15 November + 21 November: starting time 09.00 to 16.00

Aarhus University
Tuesday 14 November: Building 1330, room 038 (10.00-12.00) & 1410-039 (12.00-17.00).
Wednesday 15 November: 1325-428 (09.00-16.00).
Monday 20 November: 1325-328 (10:00-17:00).
Tuesday 21 November: 1330-024 (09.00-12.00) & 1410-039 (12.00-16.00).

Bobby (Robert) Zachariae


ECTS credits

Learning objective
To discover methodological strengths and challenges in my PhD project and to identify possible methods to address these challenges and improve the quality of my research project.

Teaching format
Brief presentations and individual and group exercises focusing on the participants' own research projects.

Content and programme
An introduction to challenges in quantitative research projects. Areas covered: DAY 1: From research idea to research design. My research question and hypotheses.  My choice of research design – strengths and limitations. DAY 2: Reviewing the background literature: Existing knowledge as starting point for my research project – what will my study add? My chosen design: Statistical power, sample size, sensitivity, precision, and possible sources of error. DAY 3: Recruitment, non-response, and dropout. Measurement: Ensuring the quality of my instruments. Scientific misconduct and good scientific practice. DAY 4: Analyzing my data: analytical strategy, data-management, and choice of statistical tests. Bringing it all together: Overall assessment of the quality of my research project: strengths, limitations, and what can be done to remedy the limitations? A personal perspective: Exploring my strengths and weaknesses as a researcher. Course format: Plenary presentations, individual, group, and plenary exercises.

Please see course overview

Requirements for receiving course credits are a) Active participation on all 4 days of the course, and b) Completion of brief home assignments prior to the first day of the course and between course days.

There is no required curriculum, but relevant texts will be made available to participants during the course.

Target group
PhD students who are in the early phases of their PhD project. PhD students from all faculties are welcome.

Applying for the course
Please complete the online application form.

Deadline for applying
Friday 20 October 2023.

Maximal number of participants