The researchers included the independent variables that were significantly associated with the outcomes variables in the univariate
Question:
The researchers included the independent variables that were significantly associated with the outcomes variables in the univariate analysis in their multiple regression analysis. They kept those with a p < 0.05 in their final multivariate regression models. Controlling for the other independent variables, which independent variables were significantly associated with the length of the second stage of labor in the multivariate regression model?
Here’s an example of how multiple regression can be useful in a research study. Sometimes it helps you understand the concept when you see it applied in a real-life scenario. In a study completed by Tussey et al. (2015), laboring women who had received an epidural were randomized into two groups and compared. One group was given routine care; the experimental group was provided with a peanut-shaped exercise ball. The ball was used to support maternal positioning that promoted spinal flexion; fetal head rotation; and widening of the pelvic inlet, outlet, and intertuberous diameter. Answer the following questions regarding this study. Tussey, C. M., Botsios, E., Gerkin, R. D., Kelly, L. A., Gamez, J., & Mensik, J. (2015). Reducing length of labor and cesarean surgery rate using a peanut ball for women laboring with an epidural. The Journal of Perinatal Education, 24(1), 16–24. doi:10.1891/1058-1243.24.1.16
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Statistics For Nursing A Practical Approach
ISBN: 9781284142013
3rd Edition
Authors: Elizabeth Heavey