CHES (Certified Health Education Specialist) Practice Exam 2025 – Your All-in-One Guide to Exam Success!

Field study sampling is not recognized as a standard type of sampling method within statistical research terminology. The commonly acknowledged sampling methods include specific strategies like non-proportional stratified random sampling, cluster sampling, and probability sampling, which all refer to defined techniques used to select participants from a population to ensure that results can be generalized and valid.

Non-proportional stratified random sampling is a method that involves dividing the population into strata and then taking a random sample from each stratum, but the sample sizes from each strata are not proportionate to their size in the population. This can help in ensuring that specific subgroups are adequately represented.

Cluster sampling involves dividing the population into clusters (often based on geographical locations) and then randomly selecting whole clusters to participate in the study, which is an efficient way to sample when dealing with large populations.

Probability sampling is a broad category that encompasses any sampling method in which each member of the population has a known, non-zero chance of being selected. This ensures that the sample is likely representative of the population, allowing for more valid and reliable conclusions.

In contrast, the term "field study sampling" does not fit within these established categories of sampling methods, as it can refer more generally to sampling techniques used specifically in field research