Summary of recent research

of recent research

of recent research

Education,P. N. (2014). Advancing Nursing Excellence for Public Protection.


Thestudy aimed to come up with strategies that would ensure that nursingstudents would acquire a high-quality education that would play a bigrole in enabling them to deliver better care to patients. As aresult, the study tested the simulation of learning experiences ofstudents in a bid to establish measures that would be worthwhiletowards such an endeavor. The simulations would be able to presentstudents with different patient situations and different measuresthat students could take to handle the patients under suchcircumstances. The students who took part in the study were dividedinto three groups in which the first group acted as a control, whilethe other two groups applied the use of simulation to work differenthours. The results clearly indicated that high-quality simulation iskey to improving the level of nursing practice among students.

NullHypothesis (H0)

Theuse of high-quality simulation among nursing students does not resultin improved levels of nursing practice.

AlternativeHypothesis (H1)

Theuse of high-quality simulation among nursing students results inimproved levels of nursing practice.

Typeof ANOVA Used

Thetype of ANOVA used in the study was two-tailed ANOVA because itinvolved the comparison of different kinds of simulations and theeffect that they would have on improving the level of practice of thestudents.

Thetype of data required

Quantitativedata was needed to help establish results that were desirable. Theassumptions of the study were based on the fact that studentsbelonging to the same group would bear the same characteristics and,therefore, show a consistent outcome. This was the case. Thedependent variables of the study included management of care,psychology and integrity and reduction of risk potential. Thedependent variables were measured regarding the p-value about if itwas lesser than the F-value (or less than 0.05 at 95% confidencelevel).


Theresults showed that most of the dependent variables showed a p-valuewhich was less than 0.05 that indicated the rejection of the nullhypothesis, thereby, adopting the alternative hypothesis. It alsoindicated that the assumptions of the test were clearly met.