TY - JOUR
T1 - Examining the complexity of wellbeing profiles in a large cross-national community sample
AU - Burns, Richard A
AU - Crisp, Dimity
N1 - Funding Information:
Participant data from the European Social Survey (ESS) were obtained from the online ESS website (www.europeansocialsurvey.org). The ESS is a large international survey of European social attitudes and has been funded by the European Commission, and the European Science and National Science Foundations. Background and detail about the ESS have been described previously (Jowell, 2007). Data for the current paper was from the third wave of data collection (European Social Survey, 2006). Participants in this study (n = 42, 999) were from 23 countries that included Austria, Belgium, Bulgaria, Switzerland, Cyprus, Germany, Denmark, Estonia, Spain, Finland, France, Great Britain, Hungary, Ireland, Netherlands, Norway, Poland, Portugal, Russia, Sweden, Slovenia, Slovakia and Ukraine. Participants were on average 47.7 years of age (SD = 18.6 years; range = 14-101); 54.4% were female and provided self-reported wellbeing data.
Publisher Copyright:
©Copyright belongs to the author(s).
PY - 2021
Y1 - 2021
N2 - The existence of multiple wellbeing indicators reflecting Psychological, Subjective and Social Wellbeing domains is widely reported. However, there is limited examination of the wellbeing profiles individuals report across multiple indicators. The current paper utilises a latent profile framework to examine the extent individuals report different wellbeing profiles. Participants (n = 42, 038) were from the European Social Survey (ESS), a large multinational study who completed the ESS wellbeing module. Profiles analyses identified no complexity in the experiences of groups of individuals across different wellbeing indicators; individuals who scored high (or low) on one indicator scored high (or low) on the other indicators. Similarly, analysis of higher-order wellbeing dimensions were consistent, no complexity was reported. Different profile classes simply reflected groups of individuals who generally scored at consistent levels across multiple wellbeing indicators.
AB - The existence of multiple wellbeing indicators reflecting Psychological, Subjective and Social Wellbeing domains is widely reported. However, there is limited examination of the wellbeing profiles individuals report across multiple indicators. The current paper utilises a latent profile framework to examine the extent individuals report different wellbeing profiles. Participants (n = 42, 038) were from the European Social Survey (ESS), a large multinational study who completed the ESS wellbeing module. Profiles analyses identified no complexity in the experiences of groups of individuals across different wellbeing indicators; individuals who scored high (or low) on one indicator scored high (or low) on the other indicators. Similarly, analysis of higher-order wellbeing dimensions were consistent, no complexity was reported. Different profile classes simply reflected groups of individuals who generally scored at consistent levels across multiple wellbeing indicators.
KW - Latent class analysis
KW - Mixture analysis
KW - Profile analysis
KW - Psychological wellbeing
KW - Social wellbeing
KW - Subjective wellbeing
UR - http://www.scopus.com/inward/record.url?scp=85116620047&partnerID=8YFLogxK
U2 - 10.5502/ijw.v11i4.1593
DO - 10.5502/ijw.v11i4.1593
M3 - Article
AN - SCOPUS:85116620047
SN - 1179-8602
VL - 11
SP - 24
EP - 43
JO - International Journal Of Wellbeing
JF - International Journal Of Wellbeing
IS - 4
ER -
