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UCLA Loneliness Scale

UCLA Loneliness Scale is a science topic covered in the lgStudy science library. This page brings together a partial reference excerpt, illustrations, worked examples, real-world applications and a short study plan, so you can understand UCLA Loneliness Scale rather than just read about it. In short: The UCLA Loneliness Scale is a commonly used measure of loneliness. It was originally released in 1978 as a 20-item scale.

Key takeaways

  • UCLA Loneliness Scale belongs to science; place it in that map before memorising details.
  • Learn the definition first, then one example that makes the definition concrete.
  • Connect UCLA Loneliness Scale to a quantity you can measure, compute or draw — that is where exam questions come from.
  • Reproduce the core statement of UCLA Loneliness Scale from memory before moving on to harder problems.

Reference excerpt

The UCLA Loneliness Scale is a commonly used measure of loneliness. It was originally released in 1978 as a 20-item scale. It has since been revised several times, and shorter versions have been introduced for situations where 20 questions is too much, such as telephone surveys.

Example survey items The exact wording of the items, and the way a respondent is asked to rate them, can vary depending on which version is in use. The example below shows three items from the 1980 revision (R-UCLA), where respondents were asked to rate each item from one of four choices: 'never', 'rarely', 'sometimes' or 'often'.

Once the answers are completed, the numbers associated with each rating are totalled up to give the individual's loneliness score. It's considered bad design to make all the items negative statements, so some are phrased as a positive (marked with '*' in the example above.) For a positive item, the score is reversed. For example, if a respondent answers 'Often' to "I am an outgoing person", then rather than the 4 that would normally be assigned for answering 'Often', it scores as a 1.

History Very little scientific study had been conducted on loneliness until the second half of the 20th century. Dozens of early studies were carried out in the 1960s, but wider acceptance of their results were hampered in part by limitations of the early scales used to measure how lonely people felt. Some of these early scales were not even internally consistent. The UCLA scale was developed to address these limitations by researchers at University of California, Los Angeles (UCLA). These researchers included M.L. Ferguson, Daniel Russell and Letitia Anne Peplau. The original version was published in 1978 as a 20-item scale. Initial evaluation of the scale found high levels of internal consistency and good scores on other measures of validity. The UCLA Loneliness Scale was the first loneliness scale to achieve widespread acceptance among scientists. It has since been revised several times, including in 1980 and 1996. Shorter versions have been released for use in cases where asking 20 questions would be too much, such as for short telephone interviews suitable to be undertaken for large numbers of people. For example, ULS-8, an 8 item version.

Prevalence The scale is widely used in studies and surveys on loneliness. A 1992 study estimated the UCLA Loneliness Scale had been used in an estimated 80% of all empirical studies on loneliness. A 2001 metastudy looking at 149 studies of loneliness, found that the UCLA scale was used in 27% of the studies; this was far more than for any other formal scale. As of 2018, the UCLA scale remained the most commonly used unidimensional loneliness scale across the world. In some areas though, such as continental Europe, multi-dimensional scales like De Jong Gierveld's are now more widely used.

Assessment Especially compared to earlier (pre-1978) scales, the UCLA scale scored highly in various tests of its validity, such as internal consistency. Developer Daniel Russell had however expressed concern that publication of the scale could skew responses. The scale has been criticised for being unidimensional. A common view among researchers and practitioners in the loneliness relief field, is that in order to properly understand and address loneliness, it is necessary to break it down to component parts, at least to the top level division into social & emotional loneliness. For this reason, some researchers prefer multidimensional scales which gives results for different types of loneliness, such as the De Jong Gierveld scale, which reports separately on social and emotional loneliness, or SELSA, which reports on social, romantic, and family loneliness.

References

Darling, Lynn "AARP The Magazine: Is there a cure for Loneliness?" December 2019/January 2020

External links UCLA Loneliness Scale (1996 version) Archived 2018-06-19 at the Wayback Machine Online implementation of the Revised UCLA Loneliness Scale, open-source.

Worked examples

Example 1 — a first encounter with UCLA Loneliness Scale

Start with the simplest possible case. Write down what UCLA Loneliness Scale claims or describes in one sentence, then invent the smallest concrete situation in which that sentence is true. In science, the smallest case is usually a single object, a single equation or a single measurement. Check that every symbol or term in your sentence has a meaning in that case.

Example 2 — changing one variable

Take the situation from Example 1 and change exactly one quantity: double it, halve it, or set it to zero. Predict what should happen to UCLA Loneliness Scale before you calculate. Comparing your prediction with the result is the fastest way to find out whether you understand the idea or only the words.

Example 3 — an exam-style question

Typical questions about UCLA Loneliness Scale ask you to (a) state it precisely, (b) apply it to given data, and (c) explain a limitation. Practise writing all three answers in under five minutes; the third part is what separates a full-mark answer from an average one.

Applications of UCLA Loneliness Scale

In research
UCLA Loneliness Scale appears in science research whenever the underlying quantities have to be modelled precisely. Papers usually cite it as a starting assumption and then explore where it breaks down.
In technology and industry
Engineering practice reuses UCLA Loneliness Scale in design rules, simulations and safety margins. Knowing the idea lets you read a specification sheet and understand why the numbers look the way they do.
In the classroom
UCLA Loneliness Scale is common in secondary-school and first-year university syllabi. It links to neighbouring topics Psychological tests and scales, Self-report inventories, so understanding it makes those chapters shorter.
In everyday life
Look for UCLA Loneliness Scale outside the textbook — in sport, cooking, traffic, electronics or the sky above you. An example you found yourself is remembered far longer than one you were given.
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How to study UCLA Loneliness Scale in 20 minutes

  1. Read the reference excerpt below once, without taking notes.
  2. Close the page and write down what UCLA Loneliness Scale means in your own words.
  3. Compare your version with the excerpt and mark what you missed.
  4. Work through the three examples above with pen and paper.
  5. Explain UCLA Loneliness Scale out loud to somebody else — or to Teacher Smith in the lgStudy chat.

Frequently asked questions

What is UCLA Loneliness Scale in simple terms?

The UCLA Loneliness Scale is a commonly used measure of loneliness. It was originally released in 1978 as a 20-item scale.

Why does UCLA Loneliness Scale matter?

Because it connects several science ideas at once: it gives you a definition you can apply, a quantity you can calculate, and a way to check whether a result is plausible.

How should I study UCLA Loneliness Scale?

Read the excerpt, restate it from memory, then work through the examples and applications listed on this page. The five-step study plan above takes about twenty minutes.

What does this page cover?

It gives you a compact reference excerpt plus original lgStudy explanations, examples, applications and study material on UCLA Loneliness Scale.

Tags

  • Psychological tests and scales
  • Self-report inventories

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