A preference for type I error, as compared with type II error, in outcomes research means that
a. The outcomes researcher is not particularly concerned with drawing incorrect conclusions.
b. The outcomes researcher would rather identify a possible connection that doesn't end up being true than miss something.
c. The outcomes researcher would rather establish definite causation than an indefinite connection.
d. Patients usually don't recognize what quality of care really is.
ANS: B
Donabedian (1987) identified the following problem-solving styles: (1) routine approaches to care versus flexibility, (2) parsimony versus redundancy, (3) variations in degree of tolerance of uncertainty, (4) propensity to take risks, and (5) preference for type I errors versus type II errors. In a type I error, the null hypothesis is rejected when it is true; this means that a promising glimmer that may affect outcomes is not noted.
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