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  2. Cluster sampling - Wikipedia

    en.wikipedia.org/wiki/Cluster_sampling

    Cluster sampling. A group of twelve people are divided into pairs, and two pairs are then selected at random. In statistics, cluster sampling is a sampling plan used when mutually homogeneous yet internally heterogeneous groupings are evident in a statistical population. It is often used in marketing research.

  3. Minimal group paradigm - Wikipedia

    en.wikipedia.org/wiki/Minimal_group_paradigm

    Although there are some variations, the traditional minimal group study consists of two phases. In the first phase, participants are randomly and anonymously divided into two groups (e.g., "Group A" and "Group B"), ostensibly on the basis of trivial criteria (e.g., preference for paintings or the toss of a coin).

  4. Random assignment - Wikipedia

    en.wikipedia.org/wiki/Random_assignment

    That is, the groups will be sufficiently different on the variable tested to conclude statistically that they did not come from the same population, even though, procedurally, they were assigned from the same total group. For example, using random assignment may create an assignment to groups that has 20 blue-eyed people and 5 brown-eyed people ...

  5. Stratified sampling - Wikipedia

    en.wikipedia.org/wiki/Stratified_sampling

    Proportionate allocation uses a sampling fraction in each of the strata that are proportional to that of the total population. For instance, if the population consists of n total individuals, m of which are male and f female (and where m + f = n), then the relative size of the two samples (x 1 = m/n males, x 2 = f/n females) should reflect this proportion.

  6. Multistage sampling - Wikipedia

    en.wikipedia.org/wiki/Multistage_sampling

    Multistage sampling can be a complex form of cluster sampling because it is a type of sampling which involves dividing the population into groups (or clusters). Then, one or more clusters are chosen at random and everyone within the chosen cluster is sampled.

  7. Stratified randomization - Wikipedia

    en.wikipedia.org/wiki/Stratified_randomization

    Graphic breakdown of stratified random sampling. In statistics, stratified randomization is a method of sampling which first stratifies the whole study population into subgroups with same attributes or characteristics, known as strata, then followed by simple random sampling from the stratified groups, where each element within the same subgroup are selected unbiasedly during any stage of the ...

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  9. In-group and out-group - Wikipedia

    en.wikipedia.org/wiki/In-group_and_out-group

    Categorization of people into social groups increases the perception that group members are similar to one another. An outcome of this is the out-group homogeneity effect. This refers to the perception of members of an out-group as being homogenous, while members of one's in-group are perceived as being diverse, e.g. "they are alike; we are ...