Abstract
Many quantities of interest in medicine, such as anxiety or degree of handicap, are impossible to measure explicitly. Instead, we ask a series of questions and combine the answers into a single numerical value. Often this is done by simply adding a score from each answer. For example, the mini-HAQ is a measure of impairment developed for patients with cervical myelopathy.1 This has 10 items (table 1)) recording the degree of difficulty experienced in carrying out daily activities. Each item is scored from 1 (no difficulty) to 4 (can't do). The scores on the 10 items are summed to give the mini-HAQ score. View this table: Table 1 Mini-HAQ scale in 249 severely impaired subjects When items are used to form a scale they need to have internal consistency. The …
Keywords
Cronbach's alphaAlpha (finance)Data scienceComputer scienceStatisticsMathematicsPsychometrics
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Publication Info
- Year
- 1997
- Type
- article
- Volume
- 314
- Issue
- 7080
- Pages
- 572-572
- Citations
- 5091
- Access
- Closed
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Cite This
J M. Bland,
David Altman
(1997).
Statistics notes: Cronbach's alpha.
BMJ
, 314
(7080)
, 572-572.
https://doi.org/10.1136/bmj.314.7080.572
Identifiers
- DOI
- 10.1136/bmj.314.7080.572