How to analyze a statistical nursing article solved
Statistical Methods and Design
review the statistical methods and design. Ensure to select the correct method for the question and hypotheses you develop. Discuss the: (1) sample size, (2) effect size and power analysis, (3) variables, (4) statistical methods used, and (5) expected descriptive statistics for the study.
Article: Condon, P., Desbordes, G., Miller, W. B., & DeSteno, D. (2013). Meditation increases compassionate response to suffering. Psychological Science, 24(10), 2125-212
The researchers hypothesized that meditation increases compassionate responses to suffering.
Sample Size
An 8-week study that comprised 39 individuals from the Greater Boston community was conducted. The sample consisted of 29 female and 10 male participants with a mean age of 25.23 years (Condon et al., 2013).
Effect and Power Analysis
Power analysis helps researchers to determine the smallest sample size that can produce the desired effect during hypothesis testing (Perugini et al., 2018). An 8-week intervention using mindfulness and compassion meditation increased the odds of acting to relive another person’s pain by more than 5 times with an odds ratio of 5.33 (Condon et al., 2013).
Variables
Two interventions were administered during the study. The first independent variable involved using mindfulness meditation while the other participants used compassion meditation (Condon et al., 2013). The dependent variable in the study was the act to relieve pain through the demonstration of compassionate behavior by the participants.
Statistical Methods Used
Statistical methods used during the study included: standard deviation, mean, p-value, odds ratio, and chi-square to compare observed results with expected results.
Expected Descriptive Statistics
The descriptive statistics applicable in this study will include the standard deviation and the mean.
References
Condon, P., Desbordes, G., Miller, W. B., & DeSteno, D. (2013). Meditation increases compassionate responses to suffering. Psychological Science, 24(10), 2125–2127. https://doi.org/10.1177/0956797613485603
Perugini, M., Gallucci, M., & Costantini, G. (2018). A practical primer to power analysis for simple experimental designs. International Review of Social Psychology, 31(1). http://doi.org/10.5334/irsp.181
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