Experimental Design
The survey will consist of three parts. The first part will include closed questions about property ownership, basic information about the building, housing conditions, housing and energy expenditures, and individual residents' attitudes.
The second part will present vignettes with hypothetical renovation possibilities. Each participant will be shown five screens sequentially. Respondents' task will be to choose the most advantageous solution from their perspective from two presented in a random layout.
The list of attributes includes:
(1) type of beneficiary (attribute levels: close neighbours / distant neighbours / local community)
(2) various type of personal engagement (attribute levels: vote through the internet / raising hand on the meeting / discussing the scope of investment)
(3) degree of democratic choice (attribute levels: independent decision of the building manager / unanimous decision of citizens/ decision of the majority of citizens)
(4) monthly housing costs after the investment (attribute levels: {-30%,-20%,-10%, 0, 10%, 20%,30%} )
(5) real estate price value of the property in 5 years (attribute levels: {-30%,-20%,-10%, 0, 10%, 20%, 30%} )
The assumptions of experimental design are as follows:
a) All attribute choices are random: the only condition is that among the two options presented to the respondent, they must differ by at least one attribute level (there cannot be two identical options).
b) The order of attribute display is random.
c) The levels of quantitative attributes (range -30% to 30%, in increments of 10%) are also displayed randomly (with equal probabilities); they may be verified after the quantitative pilot study.
d) we include an additional question about the level of certainty of choices (slider 1-100%) under each vignette.
e) in both surveys (CAPI and CAWI) a respondent will read the experiment instructions (on tablet/computer/mobile phone) and select choices.
The third part will contain closed questions about residents' community attitudes, criteria for investing in energy transition, and socio-demographic information about the respondent and their household.