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Oldenburg Burnout Inventory (OLBI)

Psychology: Mental HealthReliability: Exhaustion alpha 0.74–0.87; Disengagement alpha 0.76–0.833 sample items

About this scale

A 16-item, two-dimensional burnout measure (Exhaustion and Disengagement from work). Each dimension is balanced with positively and negatively worded items, addressing acquiescence bias common in the MBI. Used widely in JD-R studies and is freely available for research.

Sample item(s)

“There are days when I feel tired before I arrive at work. (Exhaustion)”
“I always find new and interesting aspects in my work. (Disengagement, reverse)”
“After my work, I usually feel worn out and weary. (Exhaustion)”

Reliability

Reported internal consistency: Exhaustion alpha 0.74–0.87; Disengagement alpha 0.76–0.83. As a rule of thumb, Cronbach’s α ≥ .70 is considered acceptable, ≥ .80 good, and ≥ .90 excellent for established measures.

Notes

Free for academic use; preferred for JD-R research because it pairs with engagement (UWES) on parallel formats.

Source & citation

Demerouti, E., Bakker, A. B., Vardakou, I., & Kantas, A. (2003): The convergent validity of two burnout instruments: A multitrait-multimethod analysis. European Journal of Psychological Assessment, Vol. 19, No. 1, pp. 12–23.

Demerouti et al. (2003): Convergent validity of two burnout instruments. EJPA, 19(1), 12–23.

Source. Scale details are summarised from the publication cited above. Always consult the original source for the full item set, scoring, and permission to use.

How to administer & score it

All 16 items are typically rated on a Likert-type agreement scale (check the original article for the exact anchors — keeping them unchanged preserves comparability with published findings). This instrument is multidimensional: score each facet separately (the mean of its items) and only use a total score if the original validation supports one. Reporting facet-level results is usually more informative and is what reviewers expect. Include at least one attention check in longer surveys, and randomise item order within the scale block to reduce position effects.

In the original validation, reported internal consistency was Exhaustion alpha 0. Always re-estimate reliability in your own sample: report Cronbach's α (and, if you run CFA/SEM, composite reliability and AVE). An α noticeably below the published range usually signals a translation issue, careless responding, or a mis-scored reverse-coded item — not necessarily a bad scale.

Adapting this scale? A 5-point validity checklist

Frequently asked questions

Can I use the Oldenburg Burnout Inventory scale in my research for free?
Most academic scales are free for non-commercial research use with proper citation, but permission terms belong to the original authors/publisher — check the source article (cited above) and request permission where indicated.

Do I need the full item wording?
Yes — always work from the original publication's item set rather than paraphrases, so your instrument matches the validated version. This page summarises the scale; the citation above is the authoritative source.

How do I build a questionnaire with this scale?
You can assemble it (with consent text, demographics, and attention checks) in the free SmartForm builder, then verify reliability live as responses arrive, and test your full model in SmartSEM.

Use it in your research

Need to check the reliability or psychometrics of this scale in your own data? Use the free DrAIStudio research tools:

Cronbach’s alpha calculator All statistical calculators Search the full Scale Atlas Academic writing humanizer

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