What is your appraisal of these findings? What factors may have contributed to the insignificant results?

How might these technologies minimize risk, promote health, and encourage patient engagement in their own care?
December 6, 2020
Explain the causes of this pollution.
December 6, 2020

What is your appraisal of these findings? What factors may have contributed to the insignificant results?

What is your appraisal of these findings? What factors may have contributed to the insignificant results?

Understanding Statistics in Research: This Discussion is meant to help students understand the application of statistics in research and also to interpret those findings.

A group of researchers conducted a power analysis before conducting a study comparing two types of patient teaching for multiple sclerosis: usual teaching and a computerized learning game. The dependent variable was perceived self-efficacy in managing medication side effects. The power analysis revealed that 45 subjects were needed in both groups for a power of 0.8 at a significance level of .05. The researchers randomly assigned 47 persons to each group. The study attrition was 10% for both groups. No significant differences were found between groups in perceived self-efficacy. What is your appraisal of these findings? What factors may have contributed to the insignificant results? What additional information do you need to appraise these findings?

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