| Title |
Psychometric properties of the Satisfaction with Life Scale (SWLS), derived from a large German community sample
|
|---|---|
| Published in |
Quality of Life Research, March 2018
|
| DOI | 10.1007/s11136-018-1844-1 |
| Pubmed ID | |
| Authors |
Andreas Hinz, Ines Conrad, Matthias L. Schroeter, Heide Glaesmer, Elmar Brähler, Markus Zenger, Rüya-Daniela Kocalevent, Philipp Y. Herzberg |
| Abstract |
The aim of this study was to test psychometric properties of the Satisfaction with Life Scale (SWLS), to provide normative values, and to analyze associations between life satisfaction and sociodemographic and behavioral data. A German community sample (n = 9711) with an age range of 18-80 years was surveyed using the SWLS and several other questionnaires. Confirmatory factor analysis (CFA) was used to test the dimensionality of the SWLS. Invariance across gender and age groups was tested with multiple-group CFA. Associations between SWLS, sociodemographic variables, and behavioral variables were tested with ANOVAs. Confirmatory factorial analysis results confirmed that the SWLS is a one-dimensional scale. Measurement invariance across gender was completely confirmed, while concerning age strict measurement invariance was confirmed. The effects of gender and age on satisfaction with life were weak. Satisfaction with life was associated with fatigue (r = - .49), the mental component of quality of life (r = .45), anxiety (r = - .42), dispositional optimism (r = .41), pessimism (r = - .34), sleep quality (r = - .32), and sociodemographic factors such as marital status, income, and occupational status. Non-smokers reported higher life satisfaction than smokers. Because of the good psychometric properties, the SWLS can be recommended for use in epidemiological research. Normative values based on a large community sample are provided. |
X Demographics
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Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 2 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 86 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 86 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 14 | 16% |
| Student > Master | 11 | 13% |
| Student > Ph. D. Student | 7 | 8% |
| Researcher | 5 | 6% |
| Other | 4 | 5% |
| Other | 16 | 19% |
| Unknown | 29 | 34% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 27 | 31% |
| Nursing and Health Professions | 7 | 8% |
| Medicine and Dentistry | 6 | 7% |
| Social Sciences | 4 | 5% |
| Agricultural and Biological Sciences | 2 | 2% |
| Other | 9 | 10% |
| Unknown | 31 | 36% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 19 April 2018.
All research outputs
#14,379,536
of 23,031,582 outputs
Outputs from Quality of Life Research
#1,521
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Outputs of similar age
#187,317
of 330,033 outputs
Outputs of similar age from Quality of Life Research
#41
of 64 outputs
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