Multidimensional Loneliness Scale: Development and Psychometric Properties of a Peruvian Version

Area of Science:

• Psychology
• Psychometrics
• Mental Health Assessment

Background:

• Loneliness is a prevalent emotional state linked to adverse health outcomes, including depression and cardiovascular issues.
• Existing measures may not fully capture the multifaceted nature of loneliness.
• Understanding and quantifying loneliness is crucial for mental health interventions.

Purpose of the Study:

• To develop and validate the Multidimensional Loneliness Scale (MLS), a novel self-report instrument.
• To assess the psychometric properties of the MLS in a diverse adult population.
• To provide a reliable tool for measuring various dimensions of loneliness.

Main Methods:

• Instrumental study design focusing on psychometric evaluation.
• Data collected from 484 adults aged 18-55.
• Utilized exploratory and confirmatory factor analysis, concurrent validity testing, and reliability analysis.

Main Results:

• Exploratory factor analysis identified four dimensions: social disconnection, family estrangement, loss of attachment figure, and intrapersonal emptiness.
• Confirmatory factor analysis supported a four-dimensional model with good fit indices (CFI=0.91, RMSEA=0.07).
• The MLS demonstrated strong concurrent validity and satisfactory internal consistency (omega: 0.84-0.92; alpha: 0.84-0.93).

Conclusions:

• The Multidimensional Loneliness Scale (MLS) is a psychometrically sound instrument for assessing loneliness.
• The MLS effectively captures the multidimensional nature of loneliness.
• This validated scale can aid in clinical assessment and research on loneliness and its impacts.