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Statistical analysis

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Notably, te article depicts how the authors used relational regression model to analyze their data; fr example, te independent variable, dsruptive behavior, ws regressed against several dependent variables such as patient outcomes, ptient safety, cmmunication in hospitals, ad staff concentration. Sch regression heralded results that allowed apparent correlation of the variables and to help the reader visualize the relations between the nurses and physicians. I addition, fctor analysis enriched the relational study and to permit comparison and contrast of the study results with those of the prior research conducted an urban setting.

Eplicitly, te researcher presented their resulted clear and well labeled tables and bar graphs so as to enhance visualization and conveyance of the information (Addison, K, &Luparell, 2014). Udoubtedly, te article had well-grounded background study and purpose, ad ultimately the authors provided the answer to the research questions despite the present of several limitations and hitches to the study. A aforementioned, te article implicitly holds various assumptions. Fr example, te researchers assumed that all nurses and physicians in the rural Montana had access to personal computers which the questionnaires were sent.

Ufortunately, i became clear during and at the end of the study that most of the hospital staff lacked the computers. Adison and Luparell explains this by reconsidering their assumption as the unexpected limitation of the research. Aain, dring the survey, i was assumed that the response is only influenced by personal voluntarism; hwever, tat factor impacted on the level of participation. I was implicit that a number of potential participants were barred due to fear of disclosure of the information to their since the survey diverted to using shared hospital computers.

Aditionally, tere was an assumption in the definition of a rural hospital facility and territory so as to define the scope of the study. Dmographically, i was assumed that the population of the rural territory should be less than 50,000 people; hwever, i was not clear on whether the figure is the population of hospital nurses and physicians or the general population. Hnce, i is evident that some of the assumptions were not properly classified (Addison, K, &Luparell, 2014). Aso, study...

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