Sample interview questions: How do you ensure the representativeness of your research samples and avoid sampling biases?
Sample answer:
To ensure the representativeness of research samples and avoid sampling biases, there are several key strategies that research psychologists employ. These strategies aim to minimize the impact of various biases and increase the generalizability of research findings. Here are some important considerations:
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Define the target population: Before selecting a sample, it is crucial to clearly define the target population that the study aims to generalize to. This population should be well-defined and specific, ensuring that the sample represents the intended population accurately.
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Use random sampling techniques: Random sampling is a fundamental method to achieve representativeness. It involves selecting participants from the target population in a manner that ensures every individual has an equal chance of being included. Random sampling methods, such as simple random sampling or stratified random sampling, help minimize selection biases and increase the likelihood of a representative sample.
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Avoid convenience sampling: Convenience sampling, while convenient in terms of accessibility, can introduce biases and hinder representativeness. Research psychologists strive to avoid this method and instead opt for random sampling techniques whenever possible.
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Sample size determination: Adequate sample size is crucial for representativeness. Research psychologists use statistical power analyses to determine the optimal sample size required to detect meaningful effects. Larger sample sizes tend to provide more accurate estimates of population parameters and increase the representativeness of the findings.
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Stratification and quota sampling: When studying diverse populations, research psychologists often employ stratified sampling techniques. This involves dividing the target population into subgroups (strata) based on specific characteristics, such as age, gender, or socioecon… Read full answer
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