Sampling techniques

• Sample


  1. The specific group of individuals that you will collect data from
• When conducting research, it's rarely possible to collect data from every person in the group, so a sample is selected instead
• Sampling methods


  • Probability sampling
  • Non-probability sampling
• Probability sampling


  • Involves random selection, allowing you to make strong statistical inferences about the whole group
• Non-probability sampling


  • Involves non-random selection based on convenience or other criteria, allowing you to easily collect data
• Probability sampling methods


  1. Simple random sampling

  2. Systematic sampling

  3. Stratified sampling

  4. Cluster sampling
• Simple random sampling


  1. Every member of the population has an equal chance of being selected
  2. no pattern involved
• Systematic sampling


  1. Individuals are chosen at regular intervals from a list of the population
• Stratified sampling


  1. Dividing the population into subgroups and sampling from each subgroup based on the proportions in the population
  2. Selecting representatives from each group
• Cluster sampling


  Randomly selecting entire subgroups (clusters) of the population
• Non-probability sampling methods


  • Convenience sampling
  • Voluntary response sampling
  • Purposive sampling
  • Snowball sampling
  • Quota sampling
• Convenience sampling


  Includes the individuals who happen to be most accessible to the researcher
• Voluntary response sampling


  People volunteer themselves to participate, e.g. by responding to a public online survey
• Purposive sampling


  The researcher uses their expertise to select a sample that is most useful to the purposes of the research
• Snowball sampling


  Recruiting participants via other participants, so the number of people you have access to "snowballs"
• Quota sampling


  Recruiting a predetermined number or proportion of units from each subgroup of the population
• Entirety of the group including all the members that forms the set of data?

  Population
• Groups within stratified random sampling?


  Strata
• Divides population into groups and selects one group randomly?

  cluster sampling
• in this type of sampling not every member of the population has the equal chance of being selected?

  Non-Probability sampling
• convenience sampling is also known?

  accidental sampling
• Based on the availability or proximity of the member?

  Convenience sampling
• best sampling method if the researcher has limited time and resources?

  Convenience sampling
• the samples will be chosen only if they satisfy the traits/condition/criteria of the researcher?

  Purposive sampling
• This non-probability sampling is similar to stratified sampling because it groups the population?

  Quota sampling
• Difference of quota to stratified?

  Quota sampling uses non-probability sampling to pick respondents while stratified uses random technique?
• proportion of the groups in the population were considered in the number of selection of the respondents?

  Quota sampling
• participants in the study were asked to recruit other members for the study?

  Snowball sampling
• Represents the characteristics or traits of the whole population?

  Sample
• Has patterns like nth term?

  Systematic random sampling