![]() ![]() Solving the second problem, however, is less straightforward. The problems with Cronbach’s alpha are easily solved by computing readily available alternatives, such as the Greatest Lower Bound or Omega. Second, the approach itself assumes that scale items are repeated measurements, an assumption that is often violated and rarely desirable. First, Cronbach’s alpha is both unrelated to a scale's internal consistency and a fatally flawed estimate of its reliability. Unfortunately, this approach suffers two fundamental problems. Cronbach’s alpha is often viewed as some kind of quality label: high values certify scale quality, low values prompt removal of one or several items. Health Psychologists using questionnaires rely heavily on Cronbach’s alpha as indicator of scale reliability and internal consistency. ![]()
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