Dr. Yuqi Ye
Wiss. Mitarbeiter*in,
Professur für Psychologie, insbesondere Kollektives Handeln für Nachhaltigkeit
Lehrveranstaltungen
Behavioural interventions are widely used to encourage sustainable behaviour and inform policy making. This course introduces the experimental methods behavioural science uses to test them, the statistics needed to analyse the results, and the practical R skills for carrying out those analyses.
Each week pairs a question from behavioural science, such as how to measure a behaviour, whether a difference between conditions is real, what an average effect can hide, with the statistical tool that answers it, implemented in R.
Each session has two parts: 90–100 minutes of teaching, followed by a short break and a practical R workshop. Students work with simulated intervention data, develop a hypothesis of their own, and report what the evidence does and does not support.
Each week pairs a question from behavioural science, such as how to measure a behaviour, whether a difference between conditions is real, what an average effect can hide, with the statistical tool that answers it, implemented in R.
Each session has two parts: 90–100 minutes of teaching, followed by a short break and a practical R workshop. Students work with simulated intervention data, develop a hypothesis of their own, and report what the evidence does and does not support.