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A numerical summary of the data assists the researchers create a more meaningful presentation of data by using visual implications like…
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Download file to see previous pages... The descriptive statistics from the findings can be essential to decision making too. The descriptive statistics in this study is obtained by administering the Nursing Research Self-Efficacy measure pre and post the learning period. Then the raw data is collected.
A paired sample statistics was performed on the data in connection with the number of correctly answered questions before and after the course was administered. In nursing students Self-Efficacy, the average score of 42 partakers increased from 7.33 to 8.452 while the variability goes up from 1.380 to 1.4177. Even in further subscales descriptive statistics show that the average score increases each time after administering the course, however, the standard deviation decreases marginally (Swenson-Britt & Reineck, 2009, p. 458-460)
The descriptive analysis from the above measures of central tendency suggests that, after the learning content was provided to the nurses, there was an improved research self-efficacy of practicing nurses (Swenson-Britt & Reineck, 2009, p.461). Effectively, nurses that undergo continuous education on new health findings can be in a better position to make decisions in their career.
Every professional can always relate to descriptive analysis and hypothesis testing regarding current issues in their industry. For example, as a student, I mostly use the mean, median and mode to describe the central position of my numerical or grouped data while I use variance/standard deviation to know how my data is spread out.
Swenson-Britt, E., & Reineck, C. (January 01, 2009). Research education for clinical nurses: a pilot study to determine research self-efficacy in critical care nurses. Journal of Continuing Education in Nursing, 40, 10, ...Download file to see next pagesRead More
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