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Types of Sampling

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Snowball Sampling

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Current study participants recruit future participants from among their acquaintances. Use when researching hard-to-reach or hidden populations.

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Cluster Sampling

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The population is divided into clusters, then a random selection of clusters is made. From those selected clusters, all or a random selection of units are surveyed. Use when the population is large and spread out geographically.

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Multistage Sampling

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A more complex form of cluster sampling where several levels of units are embedded. Use for extremely large and geographically dispersed populations.

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Line-intercept Sampling

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A method of sampling elements in a region whereby sample points are chosen by intersecting the region with a randomly placed line or transect. Use for ecological and environmental surveys.

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Systematic Sampling

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Select every k-th individual from the population list. Use when you want a simple method and the list of the population is available.

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Time Sampling

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Observations are made at pre-defined regular intervals of time. Use when longitudinal data on patterns and trends within a population are needed.

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Stratified Sampling

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The population is divided into subgroups (strata) and random samples are taken from each stratum. Use when the population is heterogeneous and you want to ensure representation across groups.

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Judgment Sampling

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The researcher uses their expertise to select units that are representative of the population. Use when detailed insight from a specific subgroup is needed.

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Voluntary Response Sampling

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Participants in the research volunteer themselves. Use when you require quick and low-cost samples, and are not aiming for generalizeable results.

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Adaptive Sampling

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Sampling methods are adapted as the initial results are evaluated. Use when there are clusters of a population with a high variance and hidden patterns.

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Convenience Sampling

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Samples are taken from a group of people easy to contact or to reach. Use when time, money, or accessibility is a significant constraint and precision is not a primary concern.

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Simple Random Sampling

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Each member of the population has an equal chance of being selected. Use when you have a well-defined population and want unbiased results.

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Quota Sampling

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Researchers divide the population into groups and then arbitrarily choose participants from each group until quotas are met. Use when time is limited, and some representation of subgroups is needed.

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Panel Sampling

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A sample where participants are chosen to take part in a survey over a set period of time. Use to measure changes in the sampled population over that time.

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Area Sampling

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Similar to cluster sampling but focuses specifically on geographical areas. Use when the study requires regional representation.

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