It is important to understand that numbers are just numbers and words are just words—all data obtained from EBP projects and research data collection must be interpreted. In other words, a project coordinator or researcher must add meaning to data. When interpreting data, a project coordinator or researcher needs to have two viewpoints: Consider what the data say and consider what the data do not say.
With quantitative data, the interpretation would include the descriptive statistics about the sample, hypothesized data, and unhypothesized data. With qualitative research, data are reduced to common themes and/or patterns and then relationships between the common themes and/or patterns are reported.
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Key to both approaches is quality—quality of the approach, sampling, methodology, and analysis. Guidelines useful in analyzing quantitative and qualitative approaches are presented in this lesson. The presented guidelines are your starting point; as you become more knowledgeable regarding the evaluation and use of research, you may want to add more criteria.
Statistical and Clinical Significance
This is a discusion board post no cover page is needed
The difference between statistically significant results and clinical significance is very interesting. For this discussion, respond to each of the following topics.
Distinguish between statistical and clinical significance of results.
Would it be possible to have research study results that supported the acceptance of the null hypothesis and demonstrate clinical significance? Provide a hypothetical example that supports your answer.
If you question the credibility of the results from a qualitative study, would the information have clinical significance for your practice area? Why or why not? Provide a hypothetical example that supports your answer.
