NR- 439-RN – Measurement Strategies And Data Collection

Measurement Strategies

In research, reliability can be defined as the consistency that is obtained when a research is done over a period of time. It also means that the research work gives an accurate representation of the population that is under study. For the case of the reliability of the instruments, they must be able to reproduce a replica result if the experiment were to be conducted again using the same methodology.

Validity alone is never enough in any research work conducted by researchers. The results of a research work needs to be valid for it to be taken into serious consideration. There are a number of examples of validity and one of them is the face validity. This type of validity is used to take a measure of the intended construct that is under study, thereby giving the researchers the motivation that they need to carry out their work (Miller and Creswell, 2000). Construct validity is also another example that is used to primarily measure the intended construct. One way of ensuring that such a result is obtained is through the use of experts who critically understand such a procedure in to details.

Reliability of a research work is important because it helps both the researcher and those who use the research results to understand situations that would otherwise remains confusing. The stability of the results that are obtained from a study can be established from a comparison of the results of two similar research tests. For instance, the learning ability of students in nursing can be determined by conducting a two tests procedure. The second administration of the tests may be done a week or two after the first one has been completed. If the results obtained over the two cases are the same, then such a result can be said to be stable (Perry and Healy, 2000).

 

Data Collection

The data collection tool may be considered to be quite effective since it primarily focused on the background of the interviewee and the reasons for getting into nursing. The tool tries to find a reason as to why the interviewee would get into nursing and not any other profession. Moreover, the type of questions asked tries to link any relation between the family background and the reasons for joining nursing. For instance, in trying to know the ethnic background, the research tool may be interested in capturing the treason behind becoming a nurse. Normally, there are those people who would join certain professions as a result of the problems or difficulties that their communities face. For instance, in this case, if I were an Asian or black African, I would have joined nursing in order to reduce the disease burden that faces our people. On the other hand, in the case of an American, one may become a nurse in order to reduce the level of obesity that is currently witnessed amongst Americans.

The questionnaire also tries to capture the type of challenges that an individual faces in relation to their working environments. For instance, a nurse that works in an ambulatory environment may not face the same challenges as that who works in a hospital environment. Similarly, the one who works in a community health set up may face challenges that are different from those faced by one who works in a nursing home. Therefore the questionnaire tries to capture every aspect of the daily challenges that a nurse goes through in their duties. The data tool is well choreographed to capture very precise details that are of importance to the researcher.

 

References

Creswell, J. W. & Miller, D. L. (2000). Determining validity in qualitative inquiry. Theory into Practice, 39 (3), 124-131

Healy, M., & Perry, C. (2000). Comprehensive criteria to judge validity and reliability of qualitative research within the realism paradigm. Qualitative Market Research, 3 (3), 118 -126

 


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