A Bayesian method of evaluating discomfort due to glare: The effect of order bias from a large glare source. (December 2018)

• Record Type: Journal Article
• Authors: Kent, M.G.; Cheung, T.; Altomonte, S.; Schiavon, S.; Lipczyńska, A.
• Is Part Of: Building and environment. Volume 146(2018)
• Page Start: 258
• Page End: 267
• Publication Date: 2018-12
• Subjects: Bayesian method -- Discomfort glare -- Experimental bias -- Order bias -- Statistical analysis; Buildings -- Environmental engineering -- Periodicals; Building -- Research -- Periodicals; Constructions -- Technique de l'environnement -- Périodiques; Electronic journals; 696
• DOI: 10.1016/j.buildenv.2018.10.005
• Languages: English
• ISSNs: 0360-1323

Abstract

Abstract: Replicating scientific findings is a fundamental aspect of research. However, in studies of discomfort due to glare, it is difficult to make comparisons between the results of different experiments since the statistical tests usually reported do not allow independent findings to be directly compared to each other. Here we present an alternative Bayesian approach that can address this problem. To show how this approach works, we performed a laboratory test with 55 participants to validate the effect of order bias previously detected in a similar study evaluating discomfort due to glare but, this time, under a large luminous source. Using the luminance adjustment procedure, the glare source was varied to meet four sensations of discomfort due to glare. Adjustments were performed under three different order sequences: ascending, descending, and randomised. Test participants provided glare settings using a newly proposed evaluation scale. The effect of order bias detected in the original study was compared to the data obtained with the same methodological procedure in the new experiment using Bayesian inferential tests. The results showed a close replication, highlighting that the order bias effect found in the original study was also present in the new experiment. The wide application of Bayesian methods in the design and analysis of experimental studies may improve the accuracy and validity of glare models. Graphical abstract: Highlights: Bayesian approach was used to replicate the detection of order effects bias. Newly developed BEARS glare scale was used to evaluate discomfort due to glare. Data from an original study was compared against a new replication experiment. A close replication of the order effect was found. There is a need to move beyond Null Hypothesis Significance Testing (NHST).