Empirical Research & Sampling: Data-Driven Studies

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...

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...

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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, the segment…

References

Henriques, J.B. (2011, February 11). Power analysis. Retrieved from (Use the "Apply for this Job" box below)..html

Pelletier,

D., & Duffield,

C. (2003). Work sampling: valuable methodology to define nursing practice patterns. Nursing & health sciences, 5(1), 31-38.

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Another instance in which random sampling is not important is when a researcher is conducting a qualitative study. In qualitative studies, depth of information from selected units of analysis is given more importance rather than the number and representativeness of the target group or population. Thus, for a researcher conducting in-depth interviews of household mothers (for example), the characteristics/selection criteria set in identifying the target group (household mothers) are more

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scientific observation that distinguish it from our everyday observation are that scientific observation is conducted using precisely defined observational conditions; by performing the observations systematically and objectively; and through keeping careful and accurate records.

Scientific observation, as opposed to everyday observations, must take place within certain well-defined parameters, whether in naturalistic or laboratory settings. Furthermore, the scientist does not choose the parameters…