Why is Internal Consistency Important in Epidemiology?
Internal consistency reflects the degree to which multiple items within a test measure the same construct. For example, in a survey designed to assess mental health, multiple questions might aim to measure depression. A high Cronbach's alpha indicates that these questions are reliably measuring the same underlying construct, thereby ensuring the accuracy and dependability of the data collected.
