Studying an entire population – Hire Academic Expert

Studying an entire population would not only be very costly but also  time-consuming and not practical as far as collecting and analyzing  the data, that is why selecting a sample representative of the  population being studied is essential. Sampling theory determines the  most effective way to select a sample that accurately represents such  population (Grove, Gray, & Burns, 2015). The population is the  group of individuals being studied, such as premature neonates. The  sampling criteria is a list of characteristics that refine the  population either to include (inclusive sampling criteria) or exclude  (exclusive sampling criteria) elements. An example of inclusive  sampling criteria could be premature neonates born between 27 and 36  weeks of gestation with a birth weight between 1500 grams and 2500  grams. The target population is the population that meets the sampling  criteria. The elements, or in this case the participants or subjects,  in the study are each neonate participating in the study. A sample  must be carefully selected in order to accurately represent the entire  population being studied in order for the study findings to have  significance. The process of applying the findings of a specific study  to the entire population is known as generalization (Grove, Gray,  & Burns, 2015). In the case of premature newborns and application  of skin-to-skin contact to improve physiological parameters, if study  results  find skin-to-skin contact with the parent to be  beneficial, then these findings can be generalized to the entire  premature babies population and put this practice in application to  achieve better outcomes. Before applying the findings to an entire population,
Grove, S.K., Gray, J. R., & Burns, N. (2015). Understanding    nursing research (6th ed.). St. Louis, MO: Elsevier.

Comment #2

Sampling theory is the random or nonrandom selection of a group of  individuals from within a population to estimate results for the whole  population (Groves, Burns, and Grey. 2015). The method of  applying the findings of a specific study to the entire population is  known as generalization (Polit & Beck, 2010). Generalization  is a method of reasoning that involves developing general conclusions  from a specific finding. The process used in generalization applies to  nursing research and evidence-based practice. An example would be  selecting a group of patients who have central line catheters in  place, identifying the problem which could be central line associated  blood stream infections, a plan is developed to help reduce the  infection rate. With the data gathered the implemented nursing process  is evaluated and outcomes are determined to establish standardized  practice (Groves, Burns, and Grey. 2015).

Grove, S.K., Gray, J. R., & Burns, N. (2015). Understanding  nursing research (6th ed.). St. Louis, MO: Elsevier.

Polit, D. F., & Beck, C. T. (2010). Generalization in  quantitative and qualitative research: Myths and  strategies. International Journal of Nursing Studies,  47(11),1451-1458. DOI: 10.1016/j.ijnurstu.2010.06.004