Positivists - These theorists prefer large, random samples., Opportunity - This non-random sampling technique means taking the most of situations where the research population is likely to be found, Interpretivists - These theorists prefer small, non-random samples., Stratified - This random sampling technique involves gathering a sample that proportionately represents the same characteristics in the target population, Reliable - A strength of random samples is that they have standardised procedures and are therefore ..., Target Population - The people to whom the sociologist wants their sample to be reflective of, Simple - This random sampling technique involves drawing names or numbers from a hat or machine, Sampling Frame - A weakness of random sampling techniques is that they cannot be done if we cannot identify a ..., Purposive - This non-random sampling technique involves researchers choosing individuals or cases that fit the nature of the research, Snowball - This non-random sampling technique involves asking an existing participant to suggest another person for the sample, Practical - A strength of non-random techniques is that they can be quick and cost efficient, making them ..., Quota - This non-random sampling technique involves the researcher deciding how many people in each category they put in their sample, Systematic - This random sampling technique involves methodically selecting participants based on a fixed interval e.g. every tenth participant, Volunteer - This is also known as self-selected non-random sampling, Bias - A weakness of non-random techniques is that there can be researcher ...,

Sampling Research Methods

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