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  2. Nonprobability sampling - Wikipedia

    en.wikipedia.org/wiki/Nonprobability_sampling

    Judgment sampling or purposive sampling, where the researcher chooses the sample based on who they think would be appropriate for the study. This is used primarily when there is a limited number of people that have expertise in the area being researched, or when the interest of the research is on a specific field or a small group.

  3. Sampling (statistics) - Wikipedia

    en.wikipedia.org/wiki/Sampling_(statistics)

    Is the question being asked by the research one that can adequately be answered using a convenience sample? In social science research, snowball sampling is a similar technique, where existing study subjects are used to recruit more subjects into the sample. Some variants of snowball sampling, such as respondent driven sampling, allow ...

  4. Survey sampling - Wikipedia

    en.wikipedia.org/wiki/Survey_sampling

    Quota Samples: The sample is designed to include a designated number of people with certain specified characteristics. For example, 100 coffee drinkers. This type of sampling is common in non-probability market research surveys. Convenience Samples: The sample is composed of whatever persons can be most easily accessed to fill out the survey.

  5. Snowball sampling - Wikipedia

    en.wikipedia.org/wiki/Snowball_sampling

    In sociology and statistics research, snowball sampling [1] (or chain sampling, chain-referral sampling, referral sampling [2] [3]) is a nonprobability sampling technique where existing study subjects recruit future subjects from among their acquaintances. Thus the sample group is said to grow like a rolling snowball.

  6. Cognitive pretesting - Wikipedia

    en.wikipedia.org/wiki/Cognitive_pretesting

    Sample size is a very important topic in pretests. Small samples of 5-15 participants are common. While some researchers suggest that it is best if the sample size is at least 30 people and more is always better, [13] the current best practice is to design the research in rounds to retest changes. For example, when pretesting a questionnaire ...

  7. Category:Sampling techniques - Wikipedia

    en.wikipedia.org/wiki/Category:Sampling_techniques

    This category is for techniques for statistical sampling from real-world populations, used in observational studies and surveys. For techniques for sampling random numbers from desired probability distributions, see category:Monte Carlo methods.

  8. Survey data collection - Wikipedia

    en.wikipedia.org/wiki/Survey_data_collection

    With the application of probability sampling in the 1930s, surveys became a standard tool for empirical research in social sciences, marketing, and official statistics. [1] The methods involved in survey data collection are any of a number of ways in which data can be collected for a statistical survey. These are methods that are used to ...

  9. Sampling design - Wikipedia

    en.wikipedia.org/wiki/Sampling_design

    In business research, companies must often generate samples of customers, clients, employees, and so forth to gather their opinions. Sample design is also a critical component of marketing research and employee research for many organizations. During sample design, firms must answer questions such as: