Podcast
Questions and Answers
What is the key characteristic of a biased sample?
What is the key characteristic of a biased sample?
- The distribution of characteristics in the sample is systematically different from the target population. (correct)
- The sample is collected from a sensitive or hard-to-reach population.
- The sample is collected using nonprobability sampling methods.
- The sample is too small to be representative of the target population.
When is nonprobability sampling most appropriate?
When is nonprobability sampling most appropriate?
- When the research topic is sensitive and requires responsive respondents.
- When the sample size needs to be large and representative.
- When the study is labor-intensive and focuses on a few in-depth cases. (correct)
- When the aim is to achieve generalizability of findings.
What type of research often requires nonprobability sampling?
What type of research often requires nonprobability sampling?
- Quantitative studies with large sample sizes.
- Longitudinal studies tracking changes over time.
- Qualitative studies and research on sensitive topics. (correct)
- Experimental research with random assignment.
What is the key difference between probability and nonprobability sampling?
What is the key difference between probability and nonprobability sampling?
What is the main advantage of using nonprobability sampling for in-depth research?
What is the main advantage of using nonprobability sampling for in-depth research?
What is the purpose of Respondent-Driven Sampling (RDS)?
What is the purpose of Respondent-Driven Sampling (RDS)?
What are the key factors that determine the experimental design according to the passage?
What are the key factors that determine the experimental design according to the passage?
What is the main purpose of an experimental design according to the passage?
What is the main purpose of an experimental design according to the passage?
Which of the following is a key characteristic of Respondent-Driven Sampling (RDS) described in the passage?
Which of the following is a key characteristic of Respondent-Driven Sampling (RDS) described in the passage?
What is the difference between a 'Between Subjects Design' and a 'Matched Groups Design' according to the passage?
What is the difference between a 'Between Subjects Design' and a 'Matched Groups Design' according to the passage?
According to the passage, what is the main purpose of an experimental design?
According to the passage, what is the main purpose of an experimental design?
What is the purpose of stratified sampling?
What is the purpose of stratified sampling?
In cluster sampling, what is the purpose of sampling from clusters?
In cluster sampling, what is the purpose of sampling from clusters?
What is the primary concern when ensuring sample accuracy?
What is the primary concern when ensuring sample accuracy?
What is a common guideline for sample size in experimental psychology?
What is a common guideline for sample size in experimental psychology?
What factors influence the required sample size?
What factors influence the required sample size?
What is the major threat to representativeness in sampling?
What is the major threat to representativeness in sampling?
What is a between-subjects design?
What is a between-subjects design?
Why is probability sampling used in experiments?
Why is probability sampling used in experiments?
What is the recommended number of participants for a paper-and-pencil experiment?
What is the recommended number of participants for a paper-and-pencil experiment?
What is the purpose of random assignment in experiments?
What is the purpose of random assignment in experiments?
What is the effect size in an experiment?
What is the effect size in an experiment?
How many participants are recommended for invasive experiments involving bodily fluids?
How many participants are recommended for invasive experiments involving bodily fluids?
What are the unique two- and three-treatment combinations for three independent variables?
What are the unique two- and three-treatment combinations for three independent variables?
How does an interaction affect the interpretation of the results?
How does an interaction affect the interpretation of the results?
What is the difference between the factor-labeling method and the factor and levels method?
What is the difference between the factor-labeling method and the factor and levels method?
Why should we use a factorial design instead of two separate univariate experiments?
Why should we use a factorial design instead of two separate univariate experiments?
