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That also assumes there is no response bias. The linked article doesn't seem to go too deep on methods but the source is a content marketing piece for Hospital
by tqi 5y ago
That also assumes there is no response bias. The linked article doesn't seem to go too deep on methods but the source is a content marketing piece for Hospital IQ, so I'd take it with a grain of salt.
- jonshariat 5y agoAlso my first thought when I saw n was 200, lots of surveys make mistakes in sample selection or question writing but it seems with the responses here and my own observations being close to nursing, the main point checks out. Lots of burn out and leaving the profession.
- tqi 5y agoAgree, I'm definitely not making any statements as to whether or not the burnout is real. I just think that a lot times the assumptions we make when we apply statistical concepts (like standard error) to real world data don't hold up.