IndietroSampling Methods definitions
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1/15IndietroSkip to main contentIndietroPopulation
Entire group of individuals or items under study, from which samples are drawn for statistical analysis. Sample
Subset of a population selected for analysis, used to make inferences about the whole group. Sampling Frame
List or database containing all elements of a population, serving as the basis for selecting samples. Random Sampling
Technique where each member of the population has an equal chance of being chosen, minimizing bias. Stratified Sampling
Method dividing the population into subgroups and selecting samples from each, ensuring representation. Cluster Sampling
Approach where groups or clusters are randomly chosen, and all or some members within are studied. Systematic Sampling
Procedure involving selection of every nth item from a list, starting from a random point. Convenience Sampling
Non-random method relying on easily accessible subjects, often leading to less representative samples. Quota Sampling
Technique where researchers ensure certain characteristics are proportionally represented in the sample. Sampling Bias
Distortion in results caused by non-random selection or exclusion of certain population segments. Nonresponse
Situation where selected individuals do not participate, potentially affecting the accuracy of results. Sampling Error
Difference between sample results and true population values, arising from chance selection. Simple Random Sample
Subset chosen so every possible group of a given size has an equal probability of selection. Voluntary Response
Sampling method where participants self-select, often leading to overrepresentation of strong opinions. Representative Sample
Subset reflecting the characteristics of the population, allowing for valid generalizations.
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