Nursing research is generally concerned with the applicability of findings to specific populations and settings. The term generalizability refers to the extent to which the findings of a study can be applied to other populations and settings. The concept of generalizability is important in nursing research because it allows for the results of a survey to be used to improve patient care in various settings.
Varied factors contribute to the generalizability of nursing research findings. One factor is the type of study design used. Studies that use a randomized controlled trial design are generally more generalizable than case-control or cohort designs. Another factor that contributes to generalizability is the sample size. Studies with larger sample sizes are more likely to produce findings that can be generalized to a broader population.
It is important to note that not all studies need to be generalizable to be helpful. For example, a study conducted in a single hospital may not be generalizable to other hospitals. However, the findings may still help improve patient care in that specific hospital. Students stuck with assignments on this topic can get help from our experts.
Discuss generalizability as it applies to nursing research.
Generalizability is the extension of research findings or conclusion made from sample during a research large population (Polit, 2010). As the example previously stated in the text the researcher is generalizing the smoking population that nicotine patches will help with smoking cessation when it probably won’t help everyone. The healthcare field care is sometimes based on generalization due to medications that work for most people to manage ailments, however some medical institutions are trying to push for individualize care plans for patients.
Describe sampling theory and provide examples to illustrate your definition.
Sampling theory is the study of the relationship between a given population and portion picked randomly as a representation of the whole population (McNiff & Petrik, 2018). Sampling theory can be considered biased since the researcher is picking the population group they want to study. An example of sampling is when the researcher takes a group of individuals such as smokers and start them on nicotine patches to see if helps smokers quit smoking.
References:
McNiff, P & Petrik, M. (2018). Nursing research: Understanding methods for best practice.Retrieved from https://lc.gcumedia.com/nrs433v/nursing-research-understanding-methods-for-best-practice/v1.1
Polit, D. F. (2010). Generalization in quantitative and qualitative research: Myths and strategies. Retrieved from https://www.sciencedirect.com/science/article/pii/S0020748910002063
