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UCLA Loneliness Scale (Version 3):
Scoring and Interpretation
The UCLA Loneliness Scale (Version 3) is a 20-item self-report measure of perceived loneliness, scored from 20 to 80 once nine items have been reverse coded (Russell, 1996). This page walks through UCLA Loneliness Scale scoring with the Version 3 reverse-key list, why no clinical bands exist, how to avoid mixing in other UCLA versions and short forms, and how to report the total.
What the UCLA Loneliness Scale Measures
The UCLA Loneliness Scale (Version 3) is a 20-item self-report assessment of perceived loneliness and social isolation, defined as a subjective shortfall in the quality or quantity of desired interpersonal connections. Loneliness is distinct from objective social-network size: a person may have many contacts yet still perceive inadequate relationships.
Russell (1996) evaluated the revised wording and psychometric performance across college students, nurses, teachers and older adults, and the scale remains widely cited in social, health and aging research. The Version 3 scoring key must not be confused with the original 1978 form or with the widely used three-item survey loneliness index.
Structure of the UCLA Loneliness Scale
- Items: twenty frequency-rated responses, coded from 1 to 4.
- Reverse-coded positions: in the standard Version 3 order, items 1, 5, 6, 9, 10, 15, 16, 19 and 20 (nine items). Item 4 is scored in the loneliness direction and is not reversed.
- Reversal rule: the reversed score for a standard 1 to 4 item equals 5 minus the response.
- Total: the twenty keyed values are summed for a single score from 20 to 80, and higher scores indicate more loneliness.
- Subscales: none in the primary total-score interpretation. Wording-related factors are investigated psychometrically.
- Versions: do not adopt cut-offs or item numbering from a different UCLA version. The revision history runs from the original 1978 form and the Revised UCLA (1980) to Version 3 (1996), alongside multiple short forms.
The instrument itself is available from the UCLA loneliness research page associated with Anne Peplau and the original publication.
How to Score the UCLA Loneliness Scale
- Verify the standard 20-item UCLA Version 3 order and that the numerical responses run from 1 to 4.
- Reverse positions 1, 5, 6, 9, 10, 15, 16, 19 and 20 as 5 minus the raw response.
- Add all 20 keyed items to produce ucla_total, which ranges from 20 to 80.
- The code uses complete-case scoring; the cited original abstract does not establish a universal missing-item prorating rule. Document a prespecified policy for incomplete responses.
* Version 3 order: reverse items 1, 5, 6, 9, 10, 15, 16, 19, 20.
RECODE ucla1 (1=4)(2=3)(3=2)(4=1) INTO ucla1_r.
RECODE ucla5 (1=4)(2=3)(3=2)(4=1) INTO ucla5_r.
RECODE ucla6 (1=4)(2=3)(3=2)(4=1) INTO ucla6_r.
RECODE ucla9 (1=4)(2=3)(3=2)(4=1) INTO ucla9_r.
RECODE ucla10 (1=4)(2=3)(3=2)(4=1) INTO ucla10_r.
RECODE ucla15 (1=4)(2=3)(3=2)(4=1) INTO ucla15_r.
RECODE ucla16 (1=4)(2=3)(3=2)(4=1) INTO ucla16_r.
RECODE ucla19 (1=4)(2=3)(3=2)(4=1) INTO ucla19_r.
RECODE ucla20 (1=4)(2=3)(3=2)(4=1) INTO ucla20_r.
COMPUTE ucla_total=SUM.20(ucla1_r,ucla2,ucla3,ucla4,ucla5_r,ucla6_r,ucla7,ucla8,ucla9_r,ucla10_r,ucla11,ucla12,ucla13,ucla14,ucla15_r,ucla16_r,ucla17,ucla18,ucla19_r,ucla20_r).
EXECUTE.
items <- paste0("ucla",1:20)
x <- data[items]
reverse <- c(1,5,6,9,10,15,16,19,20) # Version 3 order
x[reverse] <- lapply(x[reverse], function(z) ifelse(is.na(z),NA,5-z))
data$ucla_total <- rowSums(x,na.rm=FALSE)
Interpreting UCLA Loneliness Scores
| Score band | Interpretation |
|---|---|
| 20 | Theoretical minimum loneliness total |
| 20 to 80 | Continuous perceived loneliness score |
| 80 | Theoretical maximum loneliness total |
| Universal low/moderate/high clinical bands | Not established in Russell (1996) |
Source: Russell (1996), primary validation and Version 3 scoring key.
Higher values reflect more frequently endorsed loneliness after reverse coding the positive social-connection items. Do not present popular unvalidated groupings as universal clinical cut-offs. A descriptive distribution and sample-specific comparisons are generally preferable.
Several questionnaires are called the UCLA Loneliness Scale. Different revisions and short forms are not score-equivalent. Confirm the questionnaire identity before using the reverse-key list, and report responses in the 20 to 80 metric.
Psychometric Properties
| Property | Published finding | Source |
|---|---|---|
| Internal consistency | Cronbach α .89 to .94 across original validation samples | Russell (1996) |
| Test-retest reliability | r = .73 over approximately one year | Russell (1996) |
| Convergent validity | Correlations with other loneliness measures supported convergent evidence | Russell (1996) |
| Factor structure | A general bipolar loneliness factor with two item-wording method factors showed good model fit across samples | Russell (1996) |
| Screening accuracy | No standardized diagnostic sensitivity or specificity because it was not developed as a psychiatric diagnostic test | Russell (1996) |
These are source-specific results and cannot be assumed to hold as reliability or accuracy estimates in a new sample.
Using the UCLA Loneliness Scale in a Study
Treat the UCLA-3 total primarily as a continuous outcome in observational studies of social determinants, depressive symptoms, quality of life or perceived support, for example in a Multiple Linear Regression with covariates. The distribution can be skewed, so inspect floor and ceiling frequencies and model residuals, and consider rank-based methods such as Correlation Analysis (Pearson & Spearman) or appropriate generalized models where warranted.
Start reliability with alpha from the keyed items through Reliability Analysis (Cronbach’s Alpha), and preferably add omega. For new language versions, check the factor model and differential wording effects with Confirmatory Factor Analysis (CFA) rather than assuming a simple one-factor model will fit, and test comparability across groups or languages through Measurement Invariance. A universal minimal clinically important difference was not established in the original 1996 publication.
Related field: Social Psychology
Reporting the UCLA Loneliness Scale
Loneliness was assessed with the UCLA Loneliness Scale (Version 3; Russell, 1996). Twenty frequency-rated items were scored 1 to 4, with nine positively oriented items (1, 5, 6, 9, 10, 15, 16, 19, 20) reverse-coded, and summed to yield a total between 20 and 80; higher values indicated greater perceived loneliness. Internal consistency was [α = XX], and missing items were managed by [method].
References
Peplau, L. A. (n.d.). Loneliness: UCLA Loneliness Studies. University of California, Los Angeles. https://peplau.psych.ucla.edu/loneliness/
Russell, D. W. (1996). UCLA Loneliness Scale (Version 3): Reliability, validity, and factor structure. Journal of Personality Assessment, 66(1), 20-40. https://doi.org/10.1207/s15327752jpa6601_2
Frequently Asked Questions
Which UCLA-3 items are reverse scored?
In the standard Version 3 order, items 1, 5, 6, 9, 10, 15, 16, 19 and 20 (nine items). Confirm the item order on the form that was administered before applying the key.
What is a high score on the UCLA Loneliness Scale?
A higher score on the 20 to 80 metric represents more loneliness. The original publication does not establish a universal clinical threshold, so describe high scores relative to your own distribution.
Can I score the original UCLA questionnaire with this key?
No. The 1978 original and later revisions have different scoring conventions, and short forms are not score-equivalent to Version 3.
Can loneliness be analyzed as a continuous variable?
Yes, typically as a continuous 20 to 80 total, with distribution checks and sample-specific reliability.
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