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Questions And Answers Concerning Theory

The meaning of the purpose of the study refers to the objective or expected outcome of the study and what the researcher hopes to achieve from conducting the research. A nurse leader can use descriptive statistics as a baseboard by which to form the justification for the proposed course of action. Properly interpreted, descriptive statistics can be very convincing in their portrayal of the efficacy of a proposed solution to a problem or implications of the use of a specific method. Through practice, I have used and experienced the use of descriptive statistics in support of specific evaluative procedures or changes in procedural methods used to treat patients. The interpretation of a well-researched article or series of articles detailing successful application of the procedural methods on patients with the same or similar afflictions can serve as a justification for trial procedures within the institution or demonstrative research to determine if this method would be effective in your facility. Class 1: Question 2 Confidence intervals are used in research to assess the reliability of the results obtained (Confidence Intervals, 1999). The confidence interval is defined as the area within a measurement which determines the precision of the measurement (Confidence Intervals, 1999). However, this measurement performs a higher function than to simply tell the researcher the range of the variables around the estimate (Confidence Intervals, 1999). The confidence interval also tells the researcher how constant the assessment is (Confidence Intervals, 1999). A stable estimate shows stability within the research and the method conducted so that when the research is repeated, the same values would reappear or come relatively close to the values obtained within the model (Confidence Intervals, 1999). If the confidence interval is unstable, concurrent research will produce notable variances and the wider the confidence intervals are in relation to the estimate, the more unstable the research results are, meaning the determinations made within the research findings may be inaccurate as well (Confidence Intervals, 1999). A major controversy surrounding the question of the significance of statistical research versus clinical research is that, in statistical research, the sample selected may not be wholly representative of the population in question (Beyea & Nicoll, 1997). If the sample size does not accurately reflect the nature of the population being analyzed, the data collected can not be relied upon to make relevant inferences regarding the populace in question (Beyea & Nicoll, 1997). If the data collected for analysis within a statistical test, the results of the analysis will be equally flawed (Beyea & Nicoll, 1997). Clinical trials do not rely on statistical data, but on the actual raw data from examination of the elements within the circumstances under question. For this reason, clinical analysis is purported to be more accurate because there is less likelihood that the data will be flawed, although the chance remains that the sample group will not be wholly representative of the populace. I also think clinical trials are more accurate for this reason. Class 2: Question 1: The mid range theory selected was Advancing Technology, Caring, and Nursing, which was
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