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The Revised UCLA Loneliness Scale: concurrent and discriminant validity evidence
Abstract
The development of an adequate assessment instrument is a necessary prerequisite for social psychological research on loneliness. Two studies provide methodological refinement in the measurement of loneliness. Study 1 presents a revised version of the self-report UCLA (University of California, Los Angeles) Loneliness Scale, designed to counter the possible effects of response bias in the original scale, and reports concurrent validity evidence for the revised measure. Study 2 demonstrates that although loneliness is correlated with measures of negative affect, social risk taking, and affiliative tendencies, it is nonetheless a distinct psychological experience.
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“Russell et al. (1980) tested this scale among 237 individuals and it demonstrated good reliability (Alpha = 0.94).”
From How personal nostalgia influences giving to charity (2011) · cites this paper as Russell et al. (1980)
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“The internal consistency (Cronbach α at baseline) in this study was 0.89.”
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Metadata
- Authors
- Russell, D., Peplau, L. A., & Cutrona, C. E.
- ORCID
- Cutrona, Carolyn E.
- Venue
- Journal of Personality and Social Psychology
- Published
- 1980-09
- Volume
- 39
- Issue
- 3
- Pages
- 472-480
- ISSN
- 0022-3514 (ISSN-L)
- 1939-1315
- OpenAlex
- W4243663932
- Cited by
- 5,173
- References
- 0
- Citations by year
- 2026: 308 · 2025: 361 · 2024: 352 · 2023: 371 · 2022: 355 · 2021: 381 · 2020: 274 · 2019: 209 · 2018: 159 · 2017: 172 · 2016: 161 · 2015: 169 · 2014: 148 · 2013: 134 · 2012: 128
- FWCI
- 17.94
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Journal of Personality and Social Psychology (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Social Sciences › Decision Sciences › Management Science and Operations Research › Psychometric Methodologies and Testing
- Social Sciences › Health › Health disparities and outcomes
- Social Sciences › Psychology › Clinical Psychology › Personality Traits and Psychology
- Keywords
- UCLA Loneliness Scale, loneliness, psychometric validation, concurrent validity, discriminant validity, scale revision
- MeSH terms
- Anxiety, Depression, Female, Humans, Loneliness, Male, Psychological Tests, Social Isolation
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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