Identification of Sampling, Validity, and Reliability

The sampling technique, reliability, and validity of the two articles will be discussed in this assignment.  The first article, titled Stress Management for Patients with Rheumatoid Arthritis, from the PRIME nursing website, will be summarized.   This article’s sampling technique, concerns about its reliability and validity, and the possible presence of flaws or discrepancies will be reviewed.  Researchers use a sample of individuals to represent the population since it is impossible to survey or test all people. Since sampling doesn’t include everyone in the community, errors can always occur. “Validity and reliability of research and its results are important elements to provide evidence of the quality of research in the organizational field” (Hayashi, Abib, & Hoppen, p. 1).  Validity and reliability are separate elements. Hence a study can be valid, but not reliable and vice versa.  A high-quality study is both valid and reliable. A selected qualitative study will be summarized, and its trustworthiness will be discussed in this assignment.

Discussion

Research Sampling

It is unrealistic research the entire population.  Researchers use a sampling method to obtain information about the whole community based on the results they get from the subcategory or a sample of the people.  It is essential to choose a sample and method that represents the population.  There two types of sampling techniques are probability sampling and non-probability sampling (Tappen, 2016).  Random or probability sampling allows all individuals to have a chance to participate in the research and allows the researcher the ability to generalize the outcomes from the study. However, it is more time consuming and expensive to do a probability sampling.  On the other hand, the non-probability sampling or non-random

sampling doesn’t give a chance to all the individuals to be selected to participate in the research study (Tappen, 2016).  There is a higher chance of ending up with a non-representative sample, which gives non-generalized outcomes.  The non-probability sampling is cheaper and more convenient.  The sample size is the number of individuals that are observed by the experiment or survey (Tappen, 2016).  The large sample size is needed for the statistic to be accurate and reliable if representing a large population.

Research Reliability and Validity