Development and validation of the loneliness and solitude scale (LSS)

Abstract This study sought to develop the Loneliness and Solitude Scale (LSS) a scale intended to assess and differentiate loneliness and solitude. The loneliness dimension analyses how often an individual perceives being on their own as negative, unsatisfactory, and distressful; the solitude dimension refers to the frequency with which someone interprets their solitary moment as something positive, valuable, and pleasing. The collected sample for this research was comprised of 724 Portuguese speakers’ adults, demonstrating adequate psychometric indicators. Exploratory and confirmatory factor analysis showed the two dimensions, as expected. The results also indicate that the levels of Loneliness and Solitude are not dependent on gender, academic background, and age. In addition, the associations between the two factors of the LSS and emotion regulation, depression, anxiety, and stress corroborate previous literature findings. Cluster analysis allowed for further analysis, showing that stress, when controlling for emotional regulation, seems to have a weak effect on loneliness, a fact that is under some dispute in the current literature. This paper was able to develop and validate a unique measure of loneliness and solitude, centered around the unique characteristics of how individuals make use of their time spent alone. Future studies should attempt to compare this measure with other similar scales.

Authors

Institutions

Publication Details

Journal
Current Psychology
Published
2026-02-18
DOI
https://doi.org/10.1007/s12144-025-08860-2
Primary Topic
Health disparities and outcomes
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Development and validation of the loneliness and solitude scale (LSS)

João Viseu, Roberto Chiodelli, Vivien Iacob, Ilana Andretta et al.
Current Psychology
Health disparities and outcomes
article

Development and validation of the loneliness and solitude scale (LSS)

João Viseu, Roberto Chiodelli, Vivien Iacob, Ilana Andretta, Tamara Russell, Luana Thereza Nesi de Mello, SAUL NEVES DE JESUS, João Paulo Antunes
article en

Abstract

Abstract This study sought to develop the Loneliness and Solitude Scale (LSS) a scale intended to assess and differentiate loneliness and solitude. The loneliness dimension analyses how often an individual perceives being on their own as negative, unsatisfactory, and distressful; the solitude dimension refers to the frequency with which someone interprets their solitary moment as something positive, valuable, and pleasing. The collected sample for this research was comprised of 724 Portuguese speakers’ adults, demonstrating adequate psychometric indicators. Exploratory and confirmatory factor analysis showed the two dimensions, as expected. The results also indicate that the levels of Loneliness and Solitude are not dependent on gender, academic background, and age. In addition, the associations between the two factors of the LSS and emotion regulation, depression, anxiety, and stress corroborate previous literature findings. Cluster analysis allowed for further analysis, showing that stress, when controlling for emotional regulation, seems to have a weak effect on loneliness, a fact that is under some dispute in the current literature. This paper was able to develop and validate a unique measure of loneliness and solitude, centered around the unique characteristics of how individuals make use of their time spent alone. Future studies should attempt to compare this measure with other similar scales.

Current PsychologyVol. 45(5)
King's College - North Carolina (US), King's College London (GB), University of Évora (PT), Companhia União Fabril (PT), University College London (GB), Universidade do Vale do Rio dos Sinos (BR), University of Algarve (PT)
Gender equality
Openalex Percentile: Top 62%
Health disparities and outcomes
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.