Unveiling Complexity: Statistical Approaches to Interactive Hypothesis Testing in the Social Sciences
Unveiling Complexity: Statistical Approaches to Interactive Hypothesis Testing in the Social Sciences" is an applied course designed for PhD students in quantitative social sciences who wish to deepen their understanding and skills in testing conditional hypotheses (e.g., also called statistical moderation). Interactive hypotheses are abundant in social science research, as we often want to understand the conditions under which certain relationship exist.
19.03.2024 kl. 09.00 - 20.03.2024 kl. 15.30
In this course, students are introduced to state-of-the-art best practice in the statistical testing of interactive hypotheses. The applied statistical teaching is done with R and students are recommended to have basic knowledge of R programming. Students are encouraged to bring their own research questions to the course and engage with potential interactive hypotheses in their field during the practical parts of the course.
Through a combination of lectures, practical exercises, and case studies, you will learn how to develop and validate interactive hypotheses in quantitative social science research using R. You will explore various statistical tools such as kernel or bin plots to assess the validity of linear interactive models. We will also touch upon more advanced machine-learning-based models, such as the Kernel Regularized Least Squares estimator, to uncover the true interactive patterns in your data.
By the end of the course, you will have a comprehensive toolkit of advanced statistical approaches to tackle complex research questions in the social sciences. You will also gain the ability to critically evaluate existing literature and design rigorous empirical studies that effectively capture and analyze interactive phenomena.
Dominik Schraff, Associate Professor, Department of Politics and Society, Aalborg University
Number of seats:
If you have any questions regarding the PhD course, please contact PhD secretary Marianne Høgsbro.
Please find more information and registration link in PhD Moodle
Doctoral School of Social Sciences and Humanities & Department of Politics and Society, Aalborg University
Aalborg University, Campus Aalborg