Questions and Answers
What is self-selected sampling also known as?
What is non-random sampling?
A sampling method that does not follow any systematic way of selecting participants.
What is opportunity sampling also known as?
What defines random sampling?
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Stratified sampling ensures that your sample reflects the entire target population.
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What is purposive sampling?
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What is network sampling also known as?
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What is crowd-sourcing?
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Study Notes
Self-Selected Sampling
- Known as volunteer sampling.
- Participants sign up voluntarily, often motivated, leading to lower dropout rates.
- Potential issue: may not be representative of the target population.
Non-Random Sampling
- Also referred to as haphazard sampling.
- Lacks a systematic approach to participant selection.
- Example: Interviewing individuals outside a grocery store may not accurately represent wider demographics.
Opportunity Sampling
- Also called convenience sampling.
- Involves using readily available participants, such as a specific classroom.
- Generally homogeneous groups, lacking representation of the entire target population.
- Can be representative in specific contexts, such as studying grade 9 students only.
Random Sampling
- Ensures every individual in the target population has an equal chance of selection.
- Considered an ideal sampling method, but impractical for large or heterogeneous populations.
- Examples include drawing names from a hat or using random number generators.
- Distinction between random sampling and random allocation; allocation pertains to how participants are assigned to groups.
Stratified Sampling
- Aims for a sample that reflects various sub-groups within the target population.
- Requires careful division; for example, in a school with 50% native English speakers, the sample should reflect those proportions.
- Ideally involves random selection from each identified subgroup (stratum).
- Risks include misrepresentation if group labels are not appropriately defined.
Purposive Sampling
- Targets specific traits in participants, such as demographics or experiences.
- Often conducted through self-selected methods, gathering those who meet specific criteria.
Network Sampling
- Also known as snowball sampling; a type of purposive sampling.
- Useful for accessing hard-to-reach populations, like former addicts or victims of domestic violence.
- Relies on referrals from participants to find others fitting the criteria, building trust and efficiency in recruitment.
Crowd-Sourcing
- Utilizes technology to gather diverse samples.
- Engages participants through platforms like "Mechanical Turk," tapping into an online community.
- Benefits include access to a broader demographic than traditional student populations, and the ability to recruit thousands of potential participants quickly.
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Description
Test your knowledge on different sampling methods in psychology with this informative flashcard quiz. Learn the definitions and implications of self-selected and non-random sampling, among other types. Perfect for psychology students seeking to deepen their understanding of research methods.
