27 Questions
What is the key characteristic of a biased sample?
The distribution of characteristics in the sample is systematically different from the target population.
When is nonprobability sampling most appropriate?
When the study is labor-intensive and focuses on a few in-depth cases.
What type of research often requires nonprobability sampling?
Qualitative studies and research on sensitive topics.
What is the key difference between probability and nonprobability sampling?
Probability sampling ensures every member of the population has an equal chance of being selected, while nonprobability sampling does not.
What is the main advantage of using nonprobability sampling for in-depth research?
It enables the researcher to focus on a few key cases and collect more detailed information.
What is the purpose of Respondent-Driven Sampling (RDS)?
To recruit a representative sample of the population through referrals from initial participants
What are the key factors that determine the experimental design according to the passage?
The number of independent variables, the number of treatment conditions, and the purpose of the experiment
What is the main purpose of an experimental design according to the passage?
To test a specific hypothesis
Which of the following is a key characteristic of Respondent-Driven Sampling (RDS) described in the passage?
All of the above
What is the difference between a 'Between Subjects Design' and a 'Matched Groups Design' according to the passage?
A Between Subjects Design has two independent groups, while a Matched Groups Design has two matched groups
According to the passage, what is the main purpose of an experimental design?
To test a hypothesis through the experimenter's plan
What is the purpose of stratified sampling?
To ensure that key subpopulations are included in the sample.
In cluster sampling, what is the purpose of sampling from clusters?
To narrow the sampling field from large, heterogeneous chunks to small, homogeneous ones.
What is the primary concern when ensuring sample accuracy?
Making sure every element in the population has an equal chance of being selected.
What is a common guideline for sample size in experimental psychology?
Around 100 samples or more.
What factors influence the required sample size?
The homogeneity of the population and the number of subgroups to be analyzed.
What is the major threat to representativeness in sampling?
Bias in the sampling process.
What is a between-subjects design?
Each participant experiences only one treatment condition
Why is probability sampling used in experiments?
To equalize bias and neutralize errors, improving internal validity
What is the recommended number of participants for a paper-and-pencil experiment?
At least 15 participants (median) or 20 participants in each condition
What is the purpose of random assignment in experiments?
To equalize bias and neutralize errors, improving internal validity
What is the effect size in an experiment?
The strength of the relationship between the independent and dependent variables
How many participants are recommended for invasive experiments involving bodily fluids?
10 participants in each condition due to high reliability and low error
What are the unique two- and three-treatment combinations for three independent variables?
AB, AC, BC, ABC
How does an interaction affect the interpretation of the results?
It qualifies the main effect, warning of limits or exceptions
What is the difference between the factor-labeling method and the factor and levels method?
The factor-labeling method provides more detailed information about the design
Why should we use a factorial design instead of two separate univariate experiments?
Factorial designs are more efficient and can achieve greater external validity
Test your knowledge on various sampling methods used in statistics, including stratified sampling and cluster sampling. Learn about dividing populations into subpopulations based on key variables and the importance of including key subpopulations in your sample.
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