New paper on statistical data analysis in human-centric research
© 2024
Our latest paper in Building and Environment, led by ETHOS postdoctoral scholar Matteo Favero, tackles ten essential questions about statistical data analysis in human-centric research, focusing on thermal comfort.
We explore key concepts of statistical analysis and, using synthetic data, reveal the real-world consequences of common pitfalls in thermal comfort research. However, the insights we share are relevant far beyond this domain.
Statistics often shape narratives that researchers, reviewers, and editors prefer, influencing analysis choices and interpretation. We advocate for greater transparency in justifying and documenting these choices. To this end, we have created an online document to provide a practical, step-by-step explanation of our modelling process.
As human-centred approaches gain prominence, this paper and the online document will be invaluable for researchers and practitioners alike, helping ensure that data analysis in building research is conducted with rigour and clarity.
Check it out:
– Paper (open access): https://lnkd.in/dGyCncps
– Online document (step-by-step guide & code): https://lnkd.in/davgYqsD
We are glad to have collaborated on this work with Salvatore Carlucci, Giorgia Chinazzo, Jan Kloppenborg Møller, Marcel Schweiker, and Marika Vellei.