sampling

Cards (21)

  • What is the purpose of stratified sampling?
    To ensure that different subgroups of a population are represented in the sample.
  • Why is stratified sampling considered time-consuming?
    Because it requires identifying and categorizing subgroups before sampling.
  • What is volunteer sampling?
    It involves advertising for volunteers to participate in a study.
  • What is a limitation of volunteer sampling?
    It may lead to a biased sample as only those who volunteer are included.
  • What is snowball sampling?
    It is a method where existing study subjects recruit future subjects from among their acquaintances.
  • Why might snowball sampling be difficult with skittles?
    Because it relies on personal connections rather than random selection.
  • What are the steps to carry out random sampling?
    1. Define the target group.
    2. Determine the sample size.
    3. Assign numbers to each member of the population.
    4. Use a random number generator to select participants.
  • What are the strengths of random sampling?
    It is easy to implement and free from bias.
  • What is a limitation of random sampling?
    It can be time-consuming and difficult to ensure a truly random selection.
  • What is opportunity sampling?
    • Involves asking members of the population of interest to participate.
    • Can lead to a biased sample.
    • May lack external validity as findings can't be generalized.
  • What is stratified sampling and its advantages?
    • Involves dividing the population into subgroups (strata).
    • Reduces sampling bias.
    • Provides better generalizability.
    • Ensures representation of different segments of the population.
  • What is systematic sampling?
    It involves selecting participants at regular intervals from a list of the population.
  • How do you carry out systematic sampling?
    Define the population, assign numbers, choose a sample size, and select intervals.
  • What are the strengths and weaknesses of snowball sampling?
    Strengths:
    • Cost-effective.
    • Useful for studying specialized populations.
    • Easy to understand and implement.

    Weaknesses:
    • Self-selection bias.
    • Low response rate.
    • Limited generalizability.
  • What is qualitative data?
    Data that is descriptive and non-numerical.
  • What is quantitative data?
    Data that is numerical and can be measured statistically.
  • What are the strengths and weaknesses of qualitative and quantitative data?
    Strengths of qualitative data:
    • Provides in-depth insights.
    • Captures complex phenomena.

    Weaknesses of qualitative data:
    • Subjective and harder to analyze.
    • Limited generalizability.

    Strengths of quantitative data:
    • Objective and statistically analyzable.
    • Easier to replicate.

    Weaknesses of quantitative data:
    • May overlook context and depth.
    • Can be less flexible.
  • What is the significance of having a representative sample?
    A representative sample allows for generalization of findings to the larger population.
  • What are the consequences of using a non-representative sample in research?
    Findings cannot be generalized to the whole population.
  • What is the definition of a target population?
    The group of people from which a sample is drawn for research.
  • what are the different types of sampling?
    • random
    • opportunity
    • volunteer
    • systematic
    • stratified
    • snowball