Questionnaire testing, validating, and preliminary results: Proof-of-concept of a questionnaire to understand occupants' comfort and energy behaviours: First results on home occupant archetypes

  • Marco Antonio ORTIZ SANCHEZ TU Delft, Architecture and the Built Environment
  • Philomena M. Bluyssen TU Delft, Architecture and the Built Environment


Abstract This paper demonstrates the effectiveness of the TwoStep cluster analysis and the development and first results of a new questionnaire for measuring comfort, health, and energy habits. The justification for the questionnaire is to consolidate questions of six specific domains about occupants' energy consumption patterns, from the behavioural and psychological perspectives into one instrument. The questionnaire was developed from a literature review, iterative conceptualization, and testing. The resulting instrument was administered to a sample of home occupants, comprising of bachelor students of Architecture of the Delft University of Technology. The objective of the study was to examine the effectiveness of the TwoStep cluster analysis to produce occupant profiles. 316 emails were sent out inviting participants to complete the questionnaire. With the TwoStep cluster analysis, it was possible to distinguish six different archetypes of occupants based on their behavioural characteristics. These were the Relaxed Optimists, Unconcerned Indifferents, Restrained Sensitives, Positive Absolutists, Incautious Negativistics, and Resigned Savers. The results provide promising evidence of the questionnaire's potential to distinguish different occupant energy-consumption profiles based on distinct psychosocial domains in a single and concise instrument, while also showing that the analysis method is appropriate for the type of variables gathered. The value of recognizing these profiles allows for a better understanding of occupants' differing energy consumption patterns in their homes and tailoring interventions to their specific needs.


Ajzen, I. (2002). Perceived behavioral control, self‐efficacy, locus of control, and the theory of planned behavior. Journal of Applied Social Psychology, 32(4), 665-683.

Ajzen, I. (2006). Constructing a TpB questionnaire: Conceptual and Mthodological considerations (Working paper ed.). Amherst: University of Massachusetts, Amherst.

Ambrosini, F., Benassi, M., Sant’Angelo, R., Raggini, R., Mandolesi, L., & Piraccini, G. (2017). Two-step cluster analysis application to a sample of psychiatric inpatients at psychiatric service of diagnosis and care. European Psychiatry, 41, S226-S227.

Bandura, A. (1994). Self-efficacy. In V. S. Ramachaudran (Ed.), Encyclopedia of human behavior. 4, 71-81. New York: Academic Press.

Bluyssen, P. M., Ortiz-Sanchez, M., & Roda, C. (2016). Self-reported rhinitis of students from different universities in the Netherlands and its association with their home environment. Building and Environment, 110, 36-45.

Bluyssen, P. M., Roda, C., Mandin, C., Fossati, S., Carrer, P., de Kluizenaar, Y., . . . Bartzis, J. (2015). Self-reported health and comfort in ‘modern’ office buildings: first results from the European OFFICAIR study. Indoor Air. 26, 298-317.

Byrnes, D. M., Antoni, M. H., Goodkin, K., Efantis-Potter, J., Asthana, D., Simon, T., . . . Fletcher, M. A. (1998). Stressful events, pessimism, natural killer cell cytotoxicity, and cytotoxic/suppressor T cells in HIV+ black women at risk for cervical cancer. Psychosomatic medicine, 60(6), 714-722.

Costanzo, E. S., Lutgendorf, S. K., Kohut, M. L., Nisly, N., Rozeboom, K., Spooner, S., . . . McElhaney, J. E. (2004). Mood and cytokine response to influenza virus in older adults. The Journals of Gerontology Series A: Biological Sciences and Medical Sciences, 59(12), 1328-1333.

Dietrich, T., Schuster, L., & Connor, J. (2014). Segmenting Australian high school students: Two-step cluster analysis preliminary ResultsTimo Dietrich. European Journal of Public Health, 24(suppl_2).

Fleury, M.-J., Grenier, G., & Bamvita, J.-M. (2015). Predictive typology of subjective quality of life among participants with severe mental disorders after a five-year follow-up: a longitudinal two-step cluster analysis. Health and quality of life outcomes, 13(1), 150.

Gaffigan, M. E. (2008). Advanced Energy Technologies: Budget Trends and Challenges for DOE’s Energy R&D Program (US Government Accountability Office). United States Government Accountability Office.

Hogg, M. A., & Reid, S. A. (2006). Social identity, self‐categorization, and the communication of group norms. Communication theory, 16(1), 7-30.

Kelly, M. P., & Barker, M. (2016). Why is changing health-related behaviour so difficult? Public health, 136, 109-116.

Kiecolt-Glaser, J. K., McGuire, L., Robles, T. F., & Glaser, R. (2002). Psychoneuroimmunology: psychological influences on immune function and health. Journal of consulting and clinical psychology, 70(3), 537.

Kilpeläinen, M., Koskenvuo, M., Helenius, H., & Terho, E. (2002). Stressful life events promote the manifestation of asthma and atopic diseases. Clinical & Experimental Allergy, 32(2), 256-263.

Laurans, G., & Desmet, P. (2012). Introducing PREMO2: New directions for the non-verbal measurement of emotion in design. Paper presented at the Out of Control: Proceedings of the 8th International Conference on Design and Emotion, London, UK, 11-14 September 2012.

Lefcourt, H. M. (2014). Locus of control: Current trends in theory & research: Psychology Press.

Levenson, H. (1981). Differentiating among internality, powerful others, and chance. In H. M. Lefcourt (Ed.), Research with the Locus of Control Construct (pp. 1-15): Academic Press.

Majcen, D. (2016). Predicting energy consumption and savings in the housing stock: A performance gap analysis in the Netherlands. (PhD Thesis), Delft University of Technology, Delft, the Netherlands.

Maréchal, K. (2010). Not irrational but habitual: The importance of “behavioural lock-in” in energy consumption. Ecological Economics, 69(5), 1104-1114.

McGrenere, J., & Ho, W. (2000). Affordances: Clarifying and evolving a concept. Paper presented at the Graphics interface.

Norušis, M. J. (2012). IBM SPSS statistics 19 statistical procedures companion: Prentice Hall.

Ortiz, M. A., Kurvers, S. R., & Bluyssen, P. M. (2017). A review of comfort, health, and energy use: Understanding daily energy use and wellbeing for the development of a new approach to study comfort. Energy and Buildings, 152, 323-335. doi: 10.1016/j.enbuild.2017.07.060

Ortony, A., Norman, D., & Revelle, W. (2012). Affect and Proto-Affect in Effective Functioning. In J. M. Fellous & M. A. Arbib (Eds.), Who needs emotions? The brain meets the Robot (pp. 173-202): Oxford University Press.

Oswald, F., Wahl, H.-W., Martin, M., & Mollenkopf, H. (2003). Toward measuring proactivity in person-environment transactions in late adulthood: The housing-related control beliefs questionnaire. Journal of Housing for the Elderly, 17(1-2), 135-152.

Perloff, R. M. (2010). The dynamics of persuasion: communication and attitudes in the twenty-first century: Routledge.

Pugh, M., & Waller, G. (2017). Understanding the ‘Anorexic Voice’in Anorexia Nervosa. Clinical psychology & psychotherapy, 24(3), 670-676.

Roddenberry, A., & Renk, K. (2010). Locus of control and self-efficacy: potential mediators of stress, illness, and utilization of health services in college students. Child Psychiatry & Human Development, 41(4), 353-370.

Sovacool, B. K. (2014). What are we doing here? Analyzing fifteen years of energy scholarship and proposing a social science research agenda. Energy Research & Social Science, 1, 1-29. doi: 10.1016/j.erss.2014.02.003

Stewart, M. A., & De George-Walker, L. (2014). Self-handicapping, perfectionism, locus of control and self-efficacy: A path model. Personality and Individual Differences, 66, 160-164.

Strecher, V. J., McEvoy DeVellis, B., Becker, M. H., & Rosenstock, I. M. (1986). The role of self-efficacy in achieving health behavior change. Health education quarterly, 13(1), 73-92.

Thaler, R. H., Sunstein, C. R., & Balz, J. P. (2014). Choice architecture.

Tkaczynski, A. (2017). Segmentation using two-step cluster analysis Segmentation in Social Marketing (pp. 109-125): Springer.

Verplanken, B., & Aarts, H. (1999). Habit, attitude, and planned behaviour: is habit an empty construct or an interesting case of goal-directed automaticity? European review of social psychology, 10(1), 101-134.

Vogel, T., & Wanke, M. (2016). Attitudes and attitude change: Psychology Press.

Wood, W., & Rünger, D. (2016). Psychology of habit. Annual Review of psychology, 67, 289-314.

Zachariae, R. (2009). Psychoneuroimmunology: A bio‐psycho‐social approach to health and disease. Scand J Psychol, 50(6), 645-651.

Zajonc, R. B. (2000). Feeling and thinking: Closing the debate over the independence of affect.

Zaretzky, K., Flatau, P., Spicer, B., Conroy, E., & Burns, L. (2017). What drives the high health care costs of the homeless? Housing Studies, 1-17.
How to Cite
SANCHEZ, Marco Antonio ORTIZ; BLUYSSEN, Philomena M.. Questionnaire testing, validating, and preliminary results. A+BE | Architecture and the Built Environment, [S.l.], n. 5, p. 80-111, nov. 2019. ISSN 2214-7233. Available at: <>. Date accessed: 05 dec. 2019. doi: