Podcast
Questions and Answers
A sample represents the entire population in research.
A sample represents the entire population in research.
False
Probability sampling allows for strong statistical inferences about the whole group.
Probability sampling allows for strong statistical inferences about the whole group.
True
Non-probability sampling is based on random selection.
Non-probability sampling is based on random selection.
False
It is often feasible to collect data from every person in a population.
It is often feasible to collect data from every person in a population.
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A population refers to the specific group from which data is collected.
A population refers to the specific group from which data is collected.
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Selecting a representative sample is crucial for drawing valid research conclusions.
Selecting a representative sample is crucial for drawing valid research conclusions.
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Samples are always more effective than populations in research.
Samples are always more effective than populations in research.
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Convenience sampling is an example of probability sampling.
Convenience sampling is an example of probability sampling.
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Probability sampling means that every member of the population has an equal chance of being selected.
Probability sampling means that every member of the population has an equal chance of being selected.
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Songs from the Eurovision Song Contest that were performed in French have never won.
Songs from the Eurovision Song Contest that were performed in French have never won.
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A target population can only be defined by geographical location.
A target population can only be defined by geographical location.
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The Netherlands has a population that can be defined by age and income.
The Netherlands has a population that can be defined by age and income.
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Undergraduate students from only one university volunteered for the psychology research study.
Undergraduate students from only one university volunteered for the psychology research study.
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Probability sampling is mainly utilized in qualitative research.
Probability sampling is mainly utilized in qualitative research.
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There are countries with published data available on birth rates and GDP since 2000.
There are countries with published data available on birth rates and GDP since 2000.
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The Eurovision Song Contest only includes songs performed in English.
The Eurovision Song Contest only includes songs performed in English.
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In a simple random sample, every member of the population has an equal chance of being selected.
In a simple random sample, every member of the population has an equal chance of being selected.
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Systematic sampling is more complex than simple random sampling.
Systematic sampling is more complex than simple random sampling.
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Stratified sampling involves randomly selecting entire subgroups from the population.
Stratified sampling involves randomly selecting entire subgroups from the population.
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Cluster sampling requires that each subgroup has similar characteristics to the whole sample.
Cluster sampling requires that each subgroup has similar characteristics to the whole sample.
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In purposive sampling, every subgroup must be represented equally.
In purposive sampling, every subgroup must be represented equally.
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Systematic sampling does not require a complete sampling frame of the population.
Systematic sampling does not require a complete sampling frame of the population.
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Convenience sampling includes individuals who are most accessible to the researcher.
Convenience sampling includes individuals who are most accessible to the researcher.
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Stratified sampling can lead to more precise conclusions by properly representing every subgroup.
Stratified sampling can lead to more precise conclusions by properly representing every subgroup.
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Convenience sampling can produce generalizable results.
Convenience sampling can produce generalizable results.
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Every member of a population is inevitably included in a simple random sample.
Every member of a population is inevitably included in a simple random sample.
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Voluntary response sampling involves the researcher choosing participants.
Voluntary response sampling involves the researcher choosing participants.
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Voluntary response samples are always at least somewhat biased.
Voluntary response samples are always at least somewhat biased.
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Snowball sampling is useful when the population is easy to access.
Snowball sampling is useful when the population is easy to access.
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In snowball sampling, the number of accessible participants increases as more contacts are made.
In snowball sampling, the number of accessible participants increases as more contacts are made.
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Judgment sampling is the same as convenience sampling.
Judgment sampling is the same as convenience sampling.
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Research using convenience sampling is generally more expensive than other sampling methods.
Research using convenience sampling is generally more expensive than other sampling methods.
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Study Notes
Research Methods - Types of Sampling
- Population vs. Sample: Research often involves a population (entire group) but collecting data from every member is usually impossible. A sample (subset of the population) is selected instead.
- Valid Conclusions: To draw accurate conclusions from the sample data, researchers need to choose a sample that correctly represents the entire population.
- Probability Sampling: This approach ensures each member of the population has a chance of selection. Common types include:
- Simple Random Sampling: Every member of the population has an equal chance of being chosen.
- Systematic Sampling: Every member of the population is numbered, and members are then selected at regular intervals.
- Stratified Sampling: The population is divided into subgroups, and members from each subgroup are randomly selected proportional to their size within the population.
- Cluster Sampling: The population is divided into clusters, and a random sampling of clusters is selected. All members within those clusters are included in the sample.
- Non-Probability Sampling: Non-random selection, often based on convenience or specific criteria. It doesn't guarantee the sample represents the population. Common types include:
- Convenience Sampling: Includes individuals who are readily accessible.
- Voluntary Response Sampling: Individuals volunteer to participate.
- Purposive Sampling: The researcher uses their expertise to select individuals relevant to the research goals.
- Snowball Sampling: Existing participants recruit new participants.
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Description
Explore the essential concepts of sampling within research methods. Understand the differences between population and sample while learning about various probability sampling techniques such as simple random, systematic, stratified, and cluster sampling. This quiz will test your knowledge on how to accurately represent a population through sampling methods.
