Thenursing field has an established set of norms for conducting aninvestigation on the analysis of data(Hofisi,Hofisi & Mago, 2014).It is important to observe these accepted practices whenever one iscriticizing data analysis. Some of the analysis standards include useof generalizations and the observation of people’s privacy. Some ofthe challenges that I encountered while engaging my fellow studentsin criticizing analyzed data include how to determine thesignificance of the data, developing strategies to help the learnersunderstand the importance of reading research articles, determiningthe depth of an analysis and lack of the necessary analytical skills.
Determiningthe significance of the data
Clinicalsignificance is the ability of a test to cause concrete andsignificant differences in clinical practice(Magdalena, 2012).It is important to choose the right type of data that propagates thedesired changes in the field. Often some students end up analyzinglarge samples of unnecessary data, therefore, they end up wastingtheir time.
Havingthe necessary skills
Peopleoften assume that investigators have enough skills, acquired throughtraining, to conduct the required tasks. Some students lackanalytical skills, hence, they find the process of examining data tobe quite challenging.
Manystudents lack insight into the depth of investigation required forany data to have statistical significance. Therefore, they end upconducting shallow or too deep studies on the analyzed data.
Strategiesto aid in the understanding the importance of reading researcharticles
Itis imperative that the nurse practitioners know the value of readingresearch articles(Raines, 2013).Through research articles, one gets to know the current trendsapplicable in the discipline. Through these patterns, the nurses candecide the best direction to advance their knowledge in the practice.One can use some strategies such as orientation in the field toenhance their analytical skills. Another approach is raisingawareness about the importance of analyzed data to support currenthealth issues.
Hofisi,C., Hofisi, M., & Mago, S. (2014). Critiquing Interviewing as aData Collection Method. MJSS.http://dx.doi.org/10.5901/mjss.2014.v5n16p60
MagdalenaBenedito, R. (2012). Medicalapplications of intelligent data analysis.Hershey, PA: Information Science Reference.
Raines,D. (2013). Reading Research Articles. NeonatalNetwork: The Journal Of Neonatal Nursing,32(1),52-54. http://dx.doi.org/10.1891/0730-08126.96.36.199