Research Methodology: Stratified Sampling
38 Questions
0 Views

Choose a study mode

Play Quiz
Study Flashcards
Spaced Repetition
Chat to lesson

Podcast

Play an AI-generated podcast conversation about this lesson

Questions and Answers

What is the purpose of quotas in a study?

  • To reduce the sample size of the study
  • To select participants randomly
  • To ensure a proportional representation of the population (correct)
  • To eliminate participants who don't meet the requirements

    • What is the advantage of using quotas in a study?

  • It helps ensure a diverse sample (correct)
  • It saves time and resources
  • It reduces the need for data analysis
  • It eliminates biases in the sample

    • What is the research method described in the content?

  • Snowball sampling
  • Quota sampling (correct)
  • Random sampling
  • Convenience sampling

    • Why is it better for participants to come forward themselves?

    <p>For ethical reasons</p> Signup and view all the answers

    What is the population distribution in the example?

    <p>60% Democrat, 35% Republican, 5% Independent</p> Signup and view all the answers

    What is the sample size required in the example?

    <p>200 adults</p> Signup and view all the answers

    What is the purpose of collecting data in a business setting?

    <p>To understand customer needs and improve the business</p> Signup and view all the answers

    What is the age range of the students targeted by the teacher in the example?

    <p>9-11 years old</p> Signup and view all the answers

    What is the limitation of the collection of data from friends and family?

    <p>It is biased and based on a small, non-representative sample</p> Signup and view all the answers

    How many sampling techniques are under Probability Sampling?

    <p>5</p> Signup and view all the answers

    What is the characteristic of Simple Random Sampling?

    <p>Each population case has equal presence amount of probability in a sample</p> Signup and view all the answers

    What is the main difference between Probability and Non-Probability Sampling?

    <p>The probability of selection</p> Signup and view all the answers

    What is the advantage of collecting primary data in a business setting?

    <p>It is more specific to the business's needs</p> Signup and view all the answers

    What is the limitation of using a small sample size?

    <p>It may not be representative of the larger population</p> Signup and view all the answers

    Why is stratified sampling preferred over simple random sampling?

    <p>Because it warrants extra precise statistical results</p> Signup and view all the answers

    What is a disadvantage of simple random sampling?

    <p>The costs of obtaining the sample can be high.</p> Signup and view all the answers

    What is an advantage of systematic sampling?

    <p>It is simpler to implement than simple random sampling.</p> Signup and view all the answers

    What is the main reason to use cluster sampling?

    <p>When the population is too large to perform simple random sampling</p> Signup and view all the answers

    What is the key difference between stratified sampling and cluster sampling?

    <p>Stratified sampling involves dividing the population into subgroups, while cluster sampling involves dividing the population into clusters</p> Signup and view all the answers

    What is a strength of stratified random sampling?

    <p>It is very precise.</p> Signup and view all the answers

    What is the purpose of identifying boundaries in cluster sampling?

    <p>To ensure each cluster has an equal opportunity of being selected</p> Signup and view all the answers

    What is a weakness of simple random sampling?

    <p>It has a sampling frame that is difficult to construct.</p> Signup and view all the answers

    What is the next step in cluster sampling after identifying the clusters?

    <p>Selecting a simple random sample of many clusters</p> Signup and view all the answers

    What is a characteristic of systematic sampling?

    <p>Every nth individual in the population is selected.</p> Signup and view all the answers

    What is true about the areas selected in cluster sampling?

    <p>They are selected randomly and have an equal opportunity of being selected</p> Signup and view all the answers

    What is a weakness of stratified random sampling?

    <p>It is impossible to stratify on many variables.</p> Signup and view all the answers

    What is the advantage of using stratified sampling over simple random sampling?

    <p>It provides more precise statistical results</p> Signup and view all the answers

    What is an advantage of simple random sampling?

    <p>It provides projectable results.</p> Signup and view all the answers

    What is a characteristic of stratified random sampling?

    <p>It involves splitting the population into subgroups.</p> Signup and view all the answers

    What is the main difference between stratified sampling and multistage sampling?

    <p>Stratified sampling is a single-stage process, while multistage sampling is a multi-stage process</p> Signup and view all the answers

    What is the primary purpose of sampling in research?

    <p>To select a subset of the population for study</p> Signup and view all the answers

    What is the main characteristic of probability sampling?

    <p>Every member of the population has an equal chance of being selected</p> Signup and view all the answers

    What is the process used to remove biases in probability sampling?

    <p>Randomization</p> Signup and view all the answers

    What is the primary difference between probability and non-probability sampling?

    <p>The chance of each member being selected</p> Signup and view all the answers

    Which of the following is an example of probability sampling?

    <p>Selecting a random sample from a box of balloons with different colors</p> Signup and view all the answers

    What is the main characteristic of non-probability sampling?

    <p>Not every member of the population has an equal chance of being selected</p> Signup and view all the answers

    Which of the following is an example of non-probability sampling?

    <p>Selecting children affected by HIV/AIDS for a study</p> Signup and view all the answers

    What is the purpose of randomization in probability sampling?

    <p>To remove biases in sampling</p> Signup and view all the answers

    Study Notes

    Defining Sampling

    • Sampling is a method to select a sample from a large population or individual group for a specific research target.
    • It consists of two main techniques: Probability Sampling and Non-Probability Sampling.

    Differentiating between Probability and Non-Probability Sampling

    • Probability Sampling: Every item in the population has an equal chance of being selected in the sample.
    • Non-Probability Sampling: Each member of the population sample is not aware of the chances of being selected.

    Methods of Probability Sampling

    • Simple Random Sampling: Each population case has an equal probability of being selected in the sample.
      • Strengths: easily understood, provides projectable results
      • Weaknesses: difficult to construct a sampling frame, expensive, low precision, no assurance of representativeness
    • Systematic Sampling: Every unspecified number after a random start is chosen.
      • Strengths: easy to implement, can be done without a frame, increases representativeness
      • Weakness: can decrease representativeness
    • Stratified Random Sampling: The population is split into subgroups, and a random sample is taken from each subgroup.
      • Strengths: precise, includes all important subpopulations
      • Weaknesses: expensive, impossible to stratify on many variables, challenging to select relevant stratification variables
    • Cluster Sampling: Divides the population into groups or clusters, and a simple random sample is taken from each cluster.
    • Multistage Sampling: Selects a sample in multiple stages, using different sampling techniques at each stage.

    Non-Probability Sampling

    • Quota Sampling: A non-probability sampling technique where the researcher selects the sample based on predetermined quotas.
    • Convenience Sampling: A non-probability sampling technique where the researcher uses easily accessible individuals, such as friends and family.

    Key Concepts

    • Sampling Bias: Systematic error in the sampling process that can affect the representativeness of the sample.
    • Stratification: Dividing the population into subgroups to ensure adequate representation in the sample.
    • Randomization: A process used to reduce bias and ensure equal probability of selection in the sample.

    Studying That Suits You

    Use AI to generate personalized quizzes and flashcards to suit your learning preferences.

    Quiz Team

    Description

    This quiz tests your understanding of stratified sampling in research methodology, including setting non-overlapping strata and studying specific subgroups within a population.

    More Like This

    Use Quizgecko on...
    Browser
    Open
    Browser
    Browser