Validity Evidence and Reliability of a Subjective Well-Being Scale: A Psychometric Network Analysis
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Date
2023-01-03Author(s)
Ventura León, José
Sánchez Villena, Andy Rick
Caycho Rodríguez, Tomás
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The objective of the present research was to analyze the psychometric properties
of a short scale of subjective well-being based on the metrics corresponding to the
network models. A total of 3196 young people and adults between 18 and 56 years
of age (mean=25.88; SD=8.81) from three cities in Peru were selected by nonprobabilistic purposive sampling and divided into two phases: exploratory (n=642)
and confrmatory (n=2527). The methodology used was network analysis to determine internal structure and reliability. Evidence in relation to another variable was
explored by latent network modeling using Patient Health Questionnaire (PHQ-2)
and Generalized Anxiety Disorder Scale (GAD-2) as convergence measures. The
results reveal that the SWB is a unidimensional measure both in its exploratory
phase by Exploratory Graphical Analysis (EGA) and confrmatory (CFI=1.00;
RMSEA=0.00). The reliability obtained through structural consistency identifed
that 100% of the time only one dimension was obtained; in addition, the items were
stable because they replicated within the empirical dimension in all cases. The relationship with the PHQ-2 (r= −.44) and GAD-2 (r= −.34) maintained the expected
direction and strength. The current data lays the groundwork for future research on
subjective well-being in Peru, particularly because we now have a quick, valid, and
reliable measure that can contribute to the scientifc literature on subjective wellbeing, which is an intriguing construct to investigate due to its association with basic
human needs and the prevention of mental health problems in a community.
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Bibliographic citation
Ventura, J., Sánchez, A. R., & Caycho, T. (2023). Validity Evidence and Reliability of a Subjective Well-Being Scale: A Psychometric Network Analysis. Trends Psychology. https://doi.org/10.1007/s43076-022-00251-x
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