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How consumers value healthy houses: a preliminary segmentation of Canadian households

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Abstract

As part of a larger research project which examined the concept of healthy houses in Canada, this study provides a preliminary assessment of potential segments of Canadian householders based on their attitudes about two indoor environmental quality (IEQ) attributes (indoor air quality and lighting). Additionally, concerns about energy efficiency in the home are also addressed. A nationwide survey of households (n = 784) was conducted to search for indications of segments of Canadian householders that value their homes’ indoor environments and energy efficiency, thus addressing issues of consumer interest for healthier homes. Similar groups of householders were derived based on their levels of agreement with a variety of statements regarding some indoor environmental quality attributes and energy efficiency. The specific goals were: (1) to identify segments within Canada which indicate the presence of potential consumers of healthier houses on a broader scale; and (2) to characterize these groups using attitudinal and demographic variables. Segmentation in this study was conducted using a k-means cluster analysis, with the clusters being characterized using demographic and attitudinal information. Results indicated that there is indeed an identifiable segment within the Canadian housing sector for products and services associated with the healthy housing concept. Although housing and policy recommendations are not explicitly made, both private and public stakeholders in the Canadian housing sector could benefit by taking note of these findings.

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Notes

  1. Besides indoor air quality and lighting, other attributes normally associated with indoor environmental quality include acoustics and thermal comfort.

  2. In an attempt to increase participation in this survey of householders, indoor air quality and lighting were the leading attributes presented to respondents in this study since both were thought to be simple concepts that were of interest and could be easily understood.

  3. Energy efficiency was included as it is closely aligned with the concept of healthful living in Canada.

  4. Prior to the analysis, variability of householders in each province was unknown. Upon completion of the analysis, no significant differences between strata were found. As a result, data were analyzed in aggregate for the entire sample.

  5. For examples of calculations involving sample sizes, see Kozak (1995), Bluman (2001), and Spetic (2003).

  6. For further information on the questionnaire design and types of questions, see Spetic (2003).

  7. The Guttman λ6 was used over Cronbach’s alpha as it allows for the reliability testing of a multi-item scale where different questions (concepts) are being measured simultaneously.

  8. Caution must be exercised in reading three of these statements (TOXIC, RADON, MITES) as they were presented in the negative voice in order to control for acquiescence bias. In these cases, higher mean scores relate to more agreeable attitudes.

  9. Multicollinearity is a problem that occurs with the correlation matrix when variables are too highly correlated, inflating the size of the error terms, and thus weakening the analysis (Tabachnick and Fidell 2001).

  10. The Bonferroni adjustment was used in order to ensure that the overall alpha level remained at 0.05 (i.e. 0.05/3 = 0.017) (Uitenbroek 2003).

  11. These are self-reported data. These are conditions that respondents believed to be caused by materials and substances in the home.

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Acknowledgement

The authors acknowledge the International Environmental Institute (IEI), Hokkaido, Japan for their financial support.

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Correspondence to Wellington Spetic.

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Spetic, W., Kozak, R. & Cohen, D. How consumers value healthy houses: a preliminary segmentation of Canadian households. J Hous and the Built Environ 23, 37–52 (2008). https://doi.org/10.1007/s10901-007-9101-x

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