Connecting the dots: using a network approach to study the wellbeing spectrum.

Area of Science:

• Positive psychology
• Psychometrics
• Network analysis

Background:

• Defining wellbeing in positive psychology presents challenges.
• Existing models may not fully capture the complex structure of wellbeing.
• The psychometric network approach offers a novel method to study construct structure.

Purpose of the Study:

• To investigate the structure of wellbeing using the psychometric network approach.
• To identify the most central components of the wellbeing construct.
• To examine the interconnectedness of positive and negative wellbeing indicators.

Main Methods:

• Utilized the psychometric network approach with Dutch adults from the Netherlands Twin Register.
• Employed Mixed Graphical Models and LASSO regularization for network estimation.
• Validated network structure and accuracy using trimming and estimation samples.

Main Results:

• Identified a network with distinct positive (life satisfaction, happiness, flourishing) and negative (depressive symptoms, loneliness, neuroticism) clusters.
• Pinpointed four central nodes: one life satisfaction item, one neuroticism item, and two depression items.
• Demonstrated interconnectedness between positive and negative wellbeing phenotypes, challenging strictly delineated domains.

Conclusions:

• The network approach effectively visualizes the complex, interconnected nature of wellbeing.
• Central nodes identified can serve as efficient indicators for future wellbeing research.
• Results support a holistic view of wellbeing, rejecting rigidly separated domains.