Measurement invariance of the satisfaction with life scale across 26 countries.

Details

• Personal Author:
  Abarca N ; Alexandrova M ; Allen TD ; Antoniou A-S ; Beham B ; Brough P ; Cao C ; Carikci I ; Cooper CL ; Ferreiro P ; Fraile G ; Geurts S ; Jang S ; Kim ES ; Kinnunen U ; Lapierre LM ; Lu C-q ; Lu L ; Moreno-Velázquez IF ; O'Driscoll MP ; Pagon M ; Pitariu H ; Poelmans SAY ; Salamatov V ; Sanchez JI ; Schulmeyer MK ; Shima S ; Siu O-l ; Spector PE ; Tillemann K ; Widerszal-Bazyl M ; Woo J-M
• Description:
  The Satisfaction With Life Scale (SWLS) is a commonly used life satisfaction scale. Cross-cultural researchers use SWLS to compare mean scores of life satisfaction across countries. Despite the wide use of SWLS in cross-cultural studies, measurement invariance of SWLS has rarely been investigated, and previous studies showed inconsistent findings. Therefore, we examined the measurement invariance of SWLS with samples collected from 26 countries. To test measurement invariance, we utilized three measurement invariance techniques: (a) multigroup confirmatory factor analysis (MG-CFA), (b) multilevel confirmatory factor analysis (ML-CFA), and (c) alignment optimization methods. The three methods demonstrated that configural and metric invariances of life satisfaction held across 26 countries, whereas scalar invariance did not. With partial invariance testing, we identified that the intercepts of Items 2, 4, and 5 were noninvariant. Based on two invariant intercepts, factor means of countries were compared. Chile showed the highest factor mean; Spain and Bulgaria showed the lowest. The findings enhance our understanding of life satisfaction across countries, and they provide researchers and practitioners with practical guidance on how to conduct measurement invariance testing across countries. [Description provided by NIOSH]
• Subjects:
  Men Mental Health Occupational Health Safety Women
• Keywords:
  Author Keywords: Life Satisfaction; Satisfaction With Life Scale (SWLS); Measurement Invaraince; Multigroup Confirmatory Factor Analysis (MG-CFA); Multilevel Confirmatory Factor Analysis (ML-CFA); Alignment Optimization Method; Multilevel Multiple Indicators Multiple Causes (ML-MIMIC); Measurement/Statistics; Cross-cultural Differences Humans; Men; Women; Sampling; Life Sciences; Psychology;
• ISSN:
  0022-0221
• Document Type:
  Text
• Funding:
  Grant
• Genre:
  Journal Article
• Place as Subject:
  Florida ; OSHA Region 4
• CIO:
  National Institute for Occupational Safety and Health (NIOSH)
• Topic:
  Workplace Safety & Health
• Location:
  North America
• Volume:
  48
• Issue:
  4
• NIOSHTIC Number:
  nn:20064842
• Citation:
  J Cross Cult Psychol 2017 May; 48(4):560-576
• Contact Point Address:
  Seulki Jang, University of South Florida, 4202 E. Fowler Ave., PCD 4118G, Tampa, FL 33620
• Email:
  seulki@mail.usf.edu
• Federal Fiscal Year:
  2017
• Performing Organization:
  Sunshine Education and Research Center, University of South Florida
• Peer Reviewed:
  True
• Start Date:
  20050701
• Source Full Name:
  Journal of Cross-Cultural Psychology
• End Date:
  20290630
• Collection(s):
  National Institute for Occupational Safety and Health
• Main Document Checksum:
  urn:sha-512:485c939d086f7af77ebe018f28f356c7add4c31c82c7453eff70238486fea51c2642a2cd4e7667eb249ca084d42df4e6c6a1e0a6c3e4a0afb6410cafcb65f41a
• Download URL:
  https://stacks.cdc.gov/view/cdc/249253/cdc_249253_DS1.pdf
• File Type:
  [PDF - 258.25 KB ]