Page 68 - Contributed Paper Session (CPS) - Volume 4

CPS2128 Wlodzimierz Okrasa et al.
(subjective) and group (community) measures of well-being is discussed
toward elaborating a comprehensive methodological framework
(encompassing the relevant issues involved in such a type of joint modelling
approach).

2. Methodology : Conceptualization and Operationalzation . Data and
Models
Increasing focus on well-being (along the beyond-GDP paradigm) results
also in several guidelines and recommendations on the measurement of
subjective well-being in public statistics - eg. OECD (2013, 2015), Stone and
Mackie (2014); Kalton et al (2015). While there is a consensus in the literature
regarding individual (subjective) well-being measures that they are supposed
to cover all or some aspects of its conceptually triadic structure - evaluation
(eg. Satisfaction from Life) experience (eg. How did you feel yesterday) and
eudaimonic (eg. Sense of Life) - the community well-being measurement
approaches still awaits similar elucidation (eg. Kim and Ludvigs (2017)),
although several country-specific approaches are already well developed
within public statistical systems (to mention Australia, Canada, USA, UK, and
others).
a. Individual (Subjective) well-being: Time Use Survey/TUS data-based
measures
Since psychometric, self-reported data-based measures of well-being are
often criticized for their arbitrariness and low reliability, data from time use
surveys (collected with day reconstruction metod/DRM) are recommended
instead - see Kahneman and Krueger (2006). Amount of time spent by
respondent on performing an activity with information on emotion (negative-
neutral-positive) s/he associates with this activity (‘time of unpleasant state’)
is reflected by the value of U-index :
= ( _ _)/ (in TUS conducted in 2013: I = -1. 0. +1) (1)

And = Σ_ (Σ_ _ ℎ_)/ Σ ℎ )/ N for N-persons / group in population

b. Community Well-Being (CWB) is a multifaceted and multilevel concept,
hardly covered by standardized procedures of operationalization and
measurement. It is a "concepts developed by synthesizing research constructs
related to resident’s perceptions of the community, … needs fulfillmemnts,
observable community conditions, and the social and cultural context…” (Sung
and Phillips 2016:2 [in Phillpis and Wong2017: xxix]). Among the important
features of CWB is often included community cohesion (or local , spatial
cohesion), which is here interpreted as any of the possible configuration of the
economic cohesion and/or social cohesion and/or territorial cohesion
(following Kearns and Forest (2001), Both types of measures - individual and
community well-being - constitute the main input of the Analytical Multi-
source Database (AMDb), embracing Multidimensional Index of Local

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