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Questions and Answers
What is self-selected sampling also known as?
What is self-selected sampling also known as?
What is non-random sampling?
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 is opportunity sampling also known as?
What defines random sampling?
What defines random sampling?
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Stratified sampling ensures that your sample reflects the entire target population.
Stratified sampling ensures that your sample reflects the entire target population.
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What is purposive sampling?
What is purposive sampling?
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What is network sampling also known as?
What is network sampling also known as?
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What is crowd-sourcing?
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.