Types of Sampling Techniques Quiz

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Questions and Answers

Which sampling method is most likely to be used in a study that aims to reflect the diversity of the population?

  • Sequential
  • Quota (correct)
  • Snowball
  • Haphazard

Which sampling method is most likely to introduce biases due to convenience?

  • Haphazard (correct)
  • Sequential
  • Purposive
  • Snowball

Which sampling method is most suitable for a study that aims to explore the impact of social media on teenagers' mental health, as mentioned in the example?

  • Quota
  • Purposive
  • Haphazard (correct)
  • Sequential

Which sampling method involves getting referrals from one or a few cases, then referrals from those cases, and so forth?

<p>Snowball (B)</p> Signup and view all the answers

Which sampling method aims to get all possible cases that fit particular criteria using various methods?

<p>Purposive (C)</p> Signup and view all the answers

What type of sampling is used when the population is divided into subgroups based on age and gender, and then a specific number of individuals are selected from each subgroup?

<p>Stratified sampling (B)</p> Signup and view all the answers

When using 'deviant case sampling', what type of cases are typically selected for investigation?

<p>Unusual cases (A)</p> Signup and view all the answers

What is the primary advantage of using snowball sampling?

<p>It allows the researcher to access difficult-to-reach populations (D)</p> Signup and view all the answers

What type of bias may be present in a study that uses purposive sampling to gather insights from early adopters of electric vehicles?

<p>Sampling bias (A)</p> Signup and view all the answers

Which sampling method involves dividing the population into distinct groups called strata and then randomly selecting participants from each stratum?

<p>Stratified sampling (C)</p> Signup and view all the answers

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Study Notes

Types of Sampling Methods

  • Haphazard (Convenience/Accidental) Sampling: Get cases in any manner that is convenient, introducing biases in the sample.
  • Example: Studying the impact of social media on teenagers' mental health by interviewing the first 15 students available during lunch break at a local high school.
  • Bias: Sample is biased towards students with strong opinions or those with free time during lunch break.

Quota Sampling

  • Quota Sampling: Get a preset number of cases in several predetermined categories that reflect the diversity of the population, using haphazard methods.
  • Example: Studying consumer preferences regarding sustainable packaging in the food industry by dividing the population into subgroups based on age and gender, then interviewing 25 people from each age group.
  • Bias: Sample is diverse, but does not guarantee statistical representation of the population as a whole.

Purposive Sampling

  • Purposive Sampling: Get all cases that fit a particular criteria, often used for in-depth investigation.
  • Example: Studying the motivations and challenges faced by early adopters of electric vehicles by selecting participants who have owned and used an electric vehicle for at least one year.
  • Bias: Allows for rich, detailed insights, but results may not be generalizable to all-electric vehicle owners or potential buyers.

Snowball Sampling

  • Snowball Sampling (Network, Chain Referral, Reputational): Get cases using referrals, creating networks represented by sociograms.
  • Example: Exploring the living conditions, challenges, and coping mechanisms of undocumented immigrants in a particular city by making contact with local NGOs and then using referrals to expand the sample.
  • Bias: Allows access to a hard-to-reach population, but may not be representative of the entire population.

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