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Questions and Answers
Which sampling method is most likely to be used in a study that aims to reflect the diversity of the population?
Which sampling method is most likely to introduce biases due to convenience?
Which sampling method is most suitable for a study that aims to explore the impact of social media on teenagers' mental health, as mentioned in the example?
Which sampling method involves getting referrals from one or a few cases, then referrals from those cases, and so forth?
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Which sampling method aims to get all possible cases that fit particular criteria using various methods?
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What type of sampling is used when the population is divided into subgroups based on age and gender, and then a specific number of individuals are selected from each subgroup?
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When using 'deviant case sampling', what type of cases are typically selected for investigation?
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What is the primary advantage of using snowball sampling?
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What type of bias may be present in a study that uses purposive sampling to gather insights from early adopters of electric vehicles?
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Which sampling method involves dividing the population into distinct groups called strata and then randomly selecting participants from each stratum?
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Study Notes
Types of Sampling Methods
- Haphazard (Convenience/Accidental) Sampling: Get cases in any manner that is convenient, introducing biases in the sample.
- Example: Studying the impact of social media on teenagers' mental health by interviewing the first 15 students available during lunch break at a local high school.
- Bias: Sample is biased towards students with strong opinions or those with free time during lunch break.
Quota Sampling
- Quota Sampling: Get a preset number of cases in several predetermined categories that reflect the diversity of the population, using haphazard methods.
- Example: Studying consumer preferences regarding sustainable packaging in the food industry by dividing the population into subgroups based on age and gender, then interviewing 25 people from each age group.
- Bias: Sample is diverse, but does not guarantee statistical representation of the population as a whole.
Purposive Sampling
- Purposive Sampling: Get all cases that fit a particular criteria, often used for in-depth investigation.
- Example: Studying the motivations and challenges faced by early adopters of electric vehicles by selecting participants who have owned and used an electric vehicle for at least one year.
- Bias: Allows for rich, detailed insights, but results may not be generalizable to all-electric vehicle owners or potential buyers.
Snowball Sampling
- Snowball Sampling (Network, Chain Referral, Reputational): Get cases using referrals, creating networks represented by sociograms.
- Example: Exploring the living conditions, challenges, and coping mechanisms of undocumented immigrants in a particular city by making contact with local NGOs and then using referrals to expand the sample.
- Bias: Allows access to a hard-to-reach population, but may not be representative of the entire population.
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Description
Test your knowledge on different sampling techniques such as Haphazard, Quota, Purposive, Snowball, and Sequential. Understand how each method is used to gather data effectively.
