1.4.3 Sampling Methods

• Match the sampling method with its definition:

  Random Sampling ↔️ Participants selected by chance

  Opportunity Sampling ↔️ Participants selected based on availability

  Volunteer Sampling ↔️ Participants volunteer to take part

  Stratified Sampling ↔️ Population divided into subgroups
• In stratified sampling, the population is first divided into relevant strata
• In random sampling, each participant has an equal chance of being chosen
• What do sampling methods refer to in research?

  Ways to select participants
• Opportunity sampling involves selecting participants based on their willingness to volunteer.

  False
• Opportunity sampling ensures proportional representation of all subgroups within a population.

  False
• Stratified random sampling guarantees that each subgroup is represented in the sample proportionally to its size in the population.


  True
• Stratified random sampling ensures that all participants are chosen completely at random from the entire population.

  False
• Systematic random sampling is more efficient than simple random sampling.


  True
• Match the sampling technique with its definition:

  Simple Random Sampling ↔️ Equal chance for selection

  Stratified Random Sampling ↔️ Division into subgroups

  Systematic Random Sampling ↔️ Regular intervals from a list
• Convenience sampling selects participants based on their availability
• Match the non-random sampling method with its definition:

  Convenience Sampling ↔️ Availability and accessibility

  Quota Sampling ↔️ Matching population proportions

  Purposive Sampling ↔️ Targeted selection criteria
• What is one limitation of random sampling in terms of accessibility?

  Difficulty obtaining a complete list
• The choice of sampling method depends on factors like research question and population size.

  True
• The choice of random sampling technique depends on research goals and practical considerations.


  True
• What is the key feature of stratified random sampling?

  Proportional representation
• Order the advantages of random sampling from most to least significant:

  1️⃣ Representativeness

  2️⃣ Generalizability

  3️⃣ Reduced bias
• Non-random sampling methods can accurately reflect the broader population

  False
• What is the main efficiency of systematic random sampling compared to simple random sampling?

  Selection at regular intervals
• What is the defining characteristic of simple random sampling?

  Equal chance for selection
• What factors influence the choice of random sampling technique?

  Research question, population size, diversity
• Order the random sampling techniques from least to most efficient:

  1️⃣ Simple Random Sampling

  2️⃣ Stratified Random Sampling

  3️⃣ Systematic Random Sampling
• Quota sampling ensures the sample matches the population proportions for specific characteristics.


  True
• Order the non-random sampling methods from least to most representative:

  1️⃣ Convenience Sampling

  2️⃣ Quota Sampling

  3️⃣ Purposive Sampling
• One advantage of random sampling is its reduction of bias
• What is the defining characteristic of stratified random sampling?

  Ensures proportional representation
• In simple random sampling, each member of the population has an equal chance of being selected
• Convenience sampling is the easiest method but has low representativeness
• What is the main advantage of non-random sampling methods?

  Ease of implementation
• What are the key factors influencing the choice of sampling method?

  Research goals, population, resources
• What is the defining characteristic of random sampling?

  Equal chance for all
• What factors influence the choice of sampling method?

  Research question and constraints
• What is the primary advantage of simple random sampling?

  Equal chance for all
• Match the random sampling technique with its key feature:

  Simple Random Sampling ↔️ Equal chance for each member

  Stratified Random Sampling ↔️ Ensures proportional representation

  Systematic Random Sampling ↔️ Selection at regular intervals
• In stratified random sampling, the population is first divided into relevant strata
• The main types of random sampling techniques are simple, stratified, and systematic
• What is a non-random sampling method?

  Method without random selection
• What is the purpose of purposive sampling?

  Target a specific population
• Random sampling can be more time-consuming and costly than non-random sampling.


  True
• Match the sampling method with its definition:

  Random Sampling ↔️ Equal chance for selection

  Opportunity Sampling ↔️ Availability and accessibility

  Volunteer Sampling ↔️ Participants volunteer to take part

  Stratified Sampling ↔️ Division into subgroups