An overheating criterion for bedrooms in temperate climates: statistical analyses

This supplementary information contains worksheets of statistical analyses that underpin the narrative and bar charts presented in the following paper by the above authors: <em>An overheating criterion for bedrooms in temperate climates: Derivation and application</em>, published in Building Services Engineering Research &amp; Technology in 2023. The analyses aim to identify the dwelling and household characteristics for which there are significant differences in the prevalence of overheating in the main bedrooms of English dwellings, where said prevalence is calculated using both an established adaptive overheating criterion, and the newly proposed criterion based on mean night-time bedroom temperatures. <strong>Analysis method</strong> The sample of 591 bedrooms is divided according to thirteen different dwelling categories (dwelling type, energy efficiency rating, etc.) delineated by dwelling characteristics (e.g., semi-detached, detached, flat, etc). The same approach is also used for EFUS questionnaire data describing the households, dividing according to eleven categories (tenure, income, age, etc.) delineated by household characteristics (e.g., privately owned or rented, social rent). In many cases, to clarify where statistical differences exist, characteristics are grouped together (e.g., overheating in flats is compared with that in all other dwelling types).