Data Collection

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DATA COLLECTION 1

DataCollection

DataCollection

Reliability indicates the consistency within ameasurement and is ascertained by consistent and similar results ifthe conditions remain unchanged. Credibility and reliability go handin hand in that they depends on identification, measurements, andcollection of the necessary data[ CITATION Mar15 l 1033 ].However, reliability does not guarantee a test validity since theformer relies on precision while the latter focuses on accuracy. Bothterms are crucial whereby reliability might be necessary but does notsuffice on the same level as validity. Reliability can stand on itsown but validity depends on the presence of reliability.

The information from ANA Fast Facts is ofquantitative nature derived from surveys. It compared differentoccupational profiles and utilized central tendency measures such asmedian to show salaries discrepancies. The researcher intends toelaborate on workforce needs by focusing on employment growth rate ofnurses who are already registered in 2014. The researcher alsohighlighted the available employment options for the registerednurses. According to the data, the Nurse practitioners and otheradvanced nursing categories earned more than registered nurses did.Annual opening occupations required an associate degree as theminimum entry requirement. Finally, the data indicated the malenursing population was inadequate and were surpassed by their femalecounterparts’ by huge margins.

I will use a mixed data collection technique,which combines both the qualitative and quantitative datacollection[ CITATION Pal15 l 1033 ].This method will entail using aggregatedata collection techniques, which rely on statistical and primarydata. This technique relies on records, which make it easy to compareoutcomes. Aggregate data is distributed across varying periodsmeaning that it is more reliable than random data collectiontechniques since it has some evidence to back it up.

References

Mary A. Nies, M. M. (2015). Community/Public Health Nursing: Promoting the Health of Populations (6th ed.). St. Louis, Missouri: Elsevier.

Palinkas, L. A. (2015). Purposeful sampling for qualitative data collection and analysis in mixed method implementation research. Administration and Policy in Mental Health and Mental Health Services Research, 42(5), 533-544.