burnout, 0.79 for secondary trauma stress, and 0.92 for compassion satisfaction, which indicates a strong reliability for the test used. The significant alpha scores indicates a strength of the ProQOL scale used in this study. A weakness of this particular study would be the use of the Daisy Award as the only test for meaningful recognition in determining compassion satisfaction (Kelly, Runge, & Spencer, 2015). By using the evidence of validity from convergence, the researchers could have used a different question or scale for evaluating what the subjects felt was meaningful recognition and comparing the results. A subject that has never been nominated for a Daisy Award may still have had meaningful recognition in other ways, as well as having a high level of compassion satisfaction that cannot be evaluated by only asking if the subject had been given the Daisy Award. This would have further validated the results from the study.
Reliability in research is dependent upon researchers finding consistent results during a study. There are four different test, the first one is the test-retest which is most concerned with producing like results each time and by using the same equipment or method for measurement for each time it is tested. The second is the alternate form and is measured by comparing two studies side-by-side. The third type of reliability is the interrater in which two judges are compared. This is determined by how equal their observations were in the particular study. Lastly, we have the homogeneity reliability test. This one is used when comparing items in a scale system to one another to determine the consistency of the scale in measuring results. (Groves, Gray, & Burns, 2015) Content validity, evidence of validity from contrasting groups, evidence of validity from convergence, and evidence of validity from divergence are the four different types of validity in a study. Content validity helps to determine the measurement method that will relate to the data being measured. Evidence of validity from contrasting groups takes opposite scores from a high and low scale to compare data. The next one is the evidence of validity from convergence which is related data given to a group of people at the same time to measure the positive effect. The last one is evidence of validity from divergence which is related data given to a group of people at the same time to measure negative effect (Groves, Gray, & Burns, 2015). References: Grove, S., Gray, J., & Burns, N. (2015). Understanding nursing research text w/ study guide package (6th ed) St. Louis: Elsevier
- Fall '15
- Tammy Eades
- Nancy Burns, Jennifer Gray