The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
Developing a Measure of Loneliness
Abstract
Research on loneliness has been hindered by the lack of a simple and reliable assessment technique. The development of the UCLA Loneliness Scale, a short, 20-item general measure of loneliness is reported. The measure has high internal consistency (coefficient alpha = .96) and a test-retest correlation over a two-month period of .73. Concurrent and preliminary construct validity are indicated by correlations with self-reports of current loneliness and related emotional states, and by volunteering for a "loneliness clinic."
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“It is composed of six items evaluated on a 4-point scale in a range from 0 to 18, with the same validity as the long version and a good level of reliability (α =0.77).”
From Social connections combat loneliness and promote wellbeing among college students coming out of the COVID-19 pandemic (2025) · cites this paper as Russell et al., 1978
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“The internal consistency (Cronbach α at baseline) in this study was 0.89.”
From Schema-Informed Digital Mental Health Intervention for Maladaptive Cognitive-Emotional Patterns: Randomized Controlled Trial (2025) · cites this paper as [21]
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Metadata
- Authors
- Russell, D., Peplau, L. A., & Ferguson, M. L.
- Venue
- Journal of Personality Assessment
- Publisher
- Informa UK Limited
- Published
- 1978-06
- Volume
- 42
- Issue
- 3
- Pages
- 290-294
- ISSN
- 0022-3891 (ISSN-L)
- 1532-7752
- OpenAlex
- W2014754251
- Cited by
- 2,089
- References
- 4
- Citations by year
- 2026: 169 · 2025: 169 · 2024: 186 · 2023: 205 · 2022: 181 · 2021: 184 · 2020: 132 · 2019: 119 · 2018: 77 · 2017: 66 · 2016: 61 · 2015: 63 · 2014: 40 · 2013: 38 · 2012: 30
- FWCI
- 18.07
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Journal of Personality Assessment (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 › Experimental and Cognitive Psychology › Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes
- Keywords
- loneliness, UCLA Loneliness Scale, loneliness measurement, psychometric scale development, internal consistency, test-retest reliability, construct validity, emotional state
- MeSH terms
- Female, Humans, Loneliness, Male, Psychological Tests, Psychometrics, Self-Assessment, Social Isolation, Students, Time Factors
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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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