Generalizability as it applies to nursing research.

Full Answer Section

• Stratified random sampling: This method is used when the population is divided into groups, or strata, based on certain characteristics. A random sample is then selected from each stratum.
• Cluster sampling: This method is used when the population is divided into clusters, or groups of individuals. A random sample of clusters is then selected, and all of the individuals in the selected clusters are included in the sample.

Non-probability sampling methods are used to select a sample in which not every member of the population has an equal chance of being selected. There are several types of non-probability sampling methods, including:

• Convenience sampling: This method is used to select a sample of individuals who are easily accessible. For example, a researcher might select a sample of patients from a clinic or hospital.
• Quota sampling: This method is used to select a sample that reflects the known characteristics of the population. For example, a researcher might select a sample of patients that is equal to the proportion of men and women in the population.
• Purposive sampling: This method is used to select a sample of individuals who have certain characteristics that are relevant to the research question. For example, a researcher might select a sample of patients who have a certain disease.

The choice of sampling method depends on the research question and the resources available. Probability sampling methods are generally considered to be more accurate than non-probability sampling methods, but they may also be more time-consuming and expensive.

Generalizability is the extent to which the results of a study can be applied to other populations. In nursing research, generalizability is important because it allows us to make inferences about the wider population from the findings of a study.

There are a number of factors that can affect the generalizability of a study, including the sampling method, the size of the sample, and the homogeneity of the population.

If a study uses a probability sampling method and a large sample size, the results are more likely to be generalizable to the wider population. However, even if a study uses a probability sampling method, the results may not be generalizable if the population is not homogeneous.

For example, a study that investigates the effectiveness of a new medication for treating depression in adults may not be generalizable to children or adolescents.

There are a number of things that researchers can do to increase the generalizability of their studies. These include:

• Using a probability sampling method
• Using a large sample size
• Making sure that the population is homogeneous
• Reporting the results of the study in detail

By following these guidelines, researchers can increase the likelihood that the results of their studies will be generalizable to other populations.

Sample Answer

Sampling theory is the study of how to select a representative sample from a population. A representative sample is a group of individuals that accurately reflects the characteristics of the population from which it was drawn.

There are two main types of sampling methods: probability sampling and non-probability sampling.

Probability sampling methods are used to select a sample in which every member of the population has an equal chance of being selected. There are several types of probability sampling methods, including:

• Simple random sampling: This is the most basic type of probability sampling. Every member of the population has an equal chance of being selected.