In a study of the effectiveness of two pain management methods, what is
the meaning of the conclusion that one method produced a clinically
significant lower pain level than the other method?
A. The study was well-conducted.
B. The difference in outcome achieved by the more effective method is
large enough to make an important difference in patient comfort.
C. Pain management is an important intervention.
D. The difference in outcomes achieved by the two groups proves the
underlying physiology being tested. Correct Answer-B. The difference
in outcome achieved by the more effective method is large enough to
make an important difference in patient comfort.
Which of the following results from a sample size that is too small?
A. Lack of control over extraneous variables
B. A weak intervention
C. Limits to random sampling
,D. Low power to detect a difference in the outcomes of two groups
Correct Answer-D. Low power to detect a difference in the outcomes of
two groups
What is the relationship between clinical significance and statistical
significance?
A. Statistical significance determines clinical significance
B. Both can be significant, both can be nonsignificant, or one can be
significant and the other nonsignificant
C. If one is significant, the other is significant
D. Clinical significance determines the reliability of statistical
significance Correct Answer-B. Both can be significant, both can be
nonsignificant, or one can be significant and the other nonsignificant
Inconsistent delivery of either or both of the treatments has what effect
on the results of the study?
A. It could result in erroneous study conclusions
B. None, if the researcher corrects the inconsistency before the end of
the study
, C. It could affect the inter-rater reliability of the outcome
D. It could cause the study participants to be dissatisfied with their
involvement in the study Correct Answer-A. It could result in erroneous
study conclusions
Why is a study categorized as quasi-experimental (as opposed to being
called experimental study)?
A. Because the researcher does not have a PhD
B. Because the intervention and/or setting was not tightly controlled
C. Becuase the intervention was only partially tested
D. Because it was not possible to recruit participants from the population
of interest Correct Answer-B. Because the intervention and/or setting
was not tightly controlled
What type of quantitative research design looks for cause and effect
between an intervention and an outcome variable?
A. Case-control design