Sampling Methods in Statistics
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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 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?

  • 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?

    <p>Probability sampling ensures every member of the population has an equal chance of being selected, while nonprobability sampling does not.</p> Signup and view all the answers

    What is the main advantage of using nonprobability sampling for in-depth research?

    <p>It enables the researcher to focus on a few key cases and collect more detailed information.</p> Signup and view all the answers

    What is the purpose of Respondent-Driven Sampling (RDS)?

    <p>To recruit a representative sample of the population through referrals from initial participants</p> Signup and view all the answers

    What are the key factors that determine the experimental design according to the passage?

    <p>The number of independent variables, the number of treatment conditions, and the purpose of the experiment</p> Signup and view all the answers

    What is the main purpose of an experimental design according to the passage?

    <p>To test a specific hypothesis</p> Signup and view all the answers

    Which of the following is a key characteristic of Respondent-Driven Sampling (RDS) described in the passage?

    <p>All of the above</p> Signup and view all the answers

    What is the difference between a 'Between Subjects Design' and a 'Matched Groups Design' according to the passage?

    <p>A Between Subjects Design has two independent groups, while a Matched Groups Design has two matched groups</p> Signup and view all the answers

    According to the passage, what is the main purpose of an experimental design?

    <p>To test a hypothesis through the experimenter's plan</p> Signup and view all the answers

    What is the purpose of stratified sampling?

    <p>To ensure that key subpopulations are included in the sample.</p> Signup and view all the answers

    In cluster sampling, what is the purpose of sampling from clusters?

    <p>To narrow the sampling field from large, heterogeneous chunks to small, homogeneous ones.</p> Signup and view all the answers

    What is the primary concern when ensuring sample accuracy?

    <p>Making sure every element in the population has an equal chance of being selected.</p> Signup and view all the answers

    What is a common guideline for sample size in experimental psychology?

    <p>Around 100 samples or more.</p> Signup and view all the answers

    What factors influence the required sample size?

    <p>The homogeneity of the population and the number of subgroups to be analyzed.</p> Signup and view all the answers

    What is the major threat to representativeness in sampling?

    <p>Bias in the sampling process.</p> Signup and view all the answers

    What is a between-subjects design?

    <p>Each participant experiences only one treatment condition</p> Signup and view all the answers

    Why is probability sampling used in experiments?

    <p>To equalize bias and neutralize errors, improving internal validity</p> Signup and view all the answers

    What is the recommended number of participants for a paper-and-pencil experiment?

    <p>At least 15 participants (median) or 20 participants in each condition</p> Signup and view all the answers

    What is the purpose of random assignment in experiments?

    <p>To equalize bias and neutralize errors, improving internal validity</p> Signup and view all the answers

    What is the effect size in an experiment?

    <p>The strength of the relationship between the independent and dependent variables</p> Signup and view all the answers

    How many participants are recommended for invasive experiments involving bodily fluids?

    <p>10 participants in each condition due to high reliability and low error</p> Signup and view all the answers

    What are the unique two- and three-treatment combinations for three independent variables?

    <p>AB, AC, BC, ABC</p> Signup and view all the answers

    How does an interaction affect the interpretation of the results?

    <p>It qualifies the main effect, warning of limits or exceptions</p> Signup and view all the answers

    What is the difference between the factor-labeling method and the factor and levels method?

    <p>The factor-labeling method provides more detailed information about the design</p> Signup and view all the answers

    Why should we use a factorial design instead of two separate univariate experiments?

    <p>Factorial designs are more efficient and can achieve greater external validity</p> Signup and view all the answers

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