# Discussion: Sampling Theory in Nursing Research

What is sampling theory? Describe it and provide examples to illustrate your definition. Discuss generalizability as it applies to nursing research.

Sampling theory in nursing research can be defined as the study of the correlation between a given population and a randomly selected population that acts as a representation of the whole study population. sampling theory involves data collection, analysis, and interpretation of data collected from random samples of the population under study. Sampling theory links the collection process, correlation, analysis, and data interpretation of random samples of a population in a study.

The sampling theory is interlinked with probability theory which needs knowledge about the population parameters for drawing the conclusion from random samples. Sampling theory is connected with the parameters of the population for estimating precision.

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Sampling theory has different objectives such as statistical estimation for conducting a study of unknown parameters linked with finite and infinite parameters.

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 starts them on nicotine patches to see if help smokers quit smoking.

Generalizability is the extension of research findings or conclusions made from samples during a research large population(Polit, 2018).

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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.

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The healthcare field of 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 individualized care plans for patients.

Sampling theory is being with the field of statistics.

What is sampling theory? Describe it and provide examples to illustrate your definition. Discuss generalizability as it applies to nursing research

According to Palinkas et al (2015), the purpose of sampling theory in nursing research is to identify the most improved way of getting a sample that correctly imitates the population under study.

This sampling criterion includes a list of characteristics for eligibility in the targeted population. The sample is chosen from the general population meeting these sampling criteria. Also, in these sampling criteria, elements refer to the individual units of the sample and population.

Examples of sampling methods include simple random sampling, in which each person is selected by chance. Each other member of the population has a probability of being chosen, systematic sampling where particular individuals from the sampling frame are chosen at normal intervals, stratified sampling in which subgroups are made from a whole population that has the same characteristics, and convenience sampling, where individuals are chosen primarily based on their willingness to be part of the study and their availability.

1. What is sampling theory in nursing research? Sampling theory is the study of the correlation between a given population and a randomly selected population that acts as a representation of the whole study population.
2. What is an example of sampling theory in nursing research? An example of sampling theory in nursing research is when the researcher takes a group of individuals such as smokers and starts them on nicotine patches to see if help smokers quit smoking.
3. What are the types of sampling in nursing research? The main types of sampling methods are systematic sampling, random sampling, and stratified sampling
4. What is sampling theory describe it and provide examples to illustrate your definition? Sampling theory involves data collection, analysis, and interpretation of data collected from random samples of the population under study. The aim of sampling theory is to identify the most improved way of getting a sample that correctly imitates the population under study.

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