Sampling and Empirical Research Studies Quantitative Scientific Research Paper

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Sampling and Empirical Research Studies

Quantitative scientific studies typically require sample sizes that are sufficiently large enough to produce valid interpretable data, and using a questionnaire-based survey to poll a large group of respondents is a traditionally accepted methodology within the realm of scholarly research. The objective of any survey-based sampling experiment is to translate raw statistical data on a testable subject of interest, obtained from a sizable sample of relevant respondents, into a viable theory. The strength of this approach lies in the fact that social phenomena are most effectively studied through a systematic empirical investigation of statistical data. Because surveys are generally designed to include an array of multiple choice, yes-or-no, and essay questions, the varied level of detail provided in each recorded answer is expected to provide substantial data. Statistical sampling is used within the field of nursing to identify patient acuity rates, trends concerning mortality during certain circumstances, optimal hospital staffing ratios, and a diverse array of other extremely useful data points necessary to improve the profession's overall level of efficiency and effectiveness.

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Indeed, it has been consistently observed that "as a cost-effective and useful methodology, work sampling warrants more in-depth exploration of the various techniques involved to ensure nurse managers, clinicians and researchers appreciate the complexities of the approach and its potential to contribute to an understanding of nursing work. (Pelletier & Duffield, 2003).

However, a potential weakness tied to the use of survey-based sampling lies in the fact that any sample size, no matter how significant in terms of quantity, is inherently limited by the respondents' tendency towards selection bias. Whenever a researcher administers a survey to a randomized sample of individuals or organizations,….....

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