Podcast
Questions and Answers
What is the defining characteristic of non-probability sampling?
What is the defining characteristic of non-probability sampling?
- The chances of selecting members from the population are known
- The population size is small and homogenous
- The chances of selecting members from the population are unknown (correct)
- Only certain members of the population have a chance of being selected
Which of the following is an example of a probability sampling technique?
Which of the following is an example of a probability sampling technique?
- Convenience sampling
- Simple random sampling (correct)
- Snowball sampling
- Judgment sampling
What is the key characteristic of simple random sampling?
What is the key characteristic of simple random sampling?
- The probability of selection is unknown for all members
- Only certain members of the population have a chance of being selected
- The population is small and homogenous
- The probability of being selected is known and equal for all members (correct)
Which of the following is not a method of conducting simple random sampling?
Which of the following is not a method of conducting simple random sampling?
What is the main advantage of simple random sampling?
What is the main advantage of simple random sampling?
Which of the following is a feature of probability sampling?
Which of the following is a feature of probability sampling?
Which of the following is an example of a non-probability sampling technique?
Which of the following is an example of a non-probability sampling technique?
What is the main difference between probability and non-probability sampling?
What is the main difference between probability and non-probability sampling?
Which of the following is not an advantage of simple random sampling?
Which of the following is not an advantage of simple random sampling?
What is the first stage of sampling techniques discussed in the text?
What is the first stage of sampling techniques discussed in the text?
Which sampling method involves the researcher selecting 'units' based on ease of obtaining them or simple availability?
Which sampling method involves the researcher selecting 'units' based on ease of obtaining them or simple availability?
What is a disadvantage of Judgment Sampling mentioned in the text?
What is a disadvantage of Judgment Sampling mentioned in the text?
Which sampling method is described as 'I'll do it! I'll do it!'?
Which sampling method is described as 'I'll do it! I'll do it!'?
What type of sampling is 'Quota Sampling' classified as according to the text?
What type of sampling is 'Quota Sampling' classified as according to the text?
Which sampling method is described as involving 'people on the street' interviews?
Which sampling method is described as involving 'people on the street' interviews?
What is the second stage of sampling techniques discussed in the text?
What is the second stage of sampling techniques discussed in the text?
Which sampling method involves the use of 'students, and members of social organizations'?
Which sampling method involves the use of 'students, and members of social organizations'?
What is the third stage of sampling techniques discussed in the text?
What is the third stage of sampling techniques discussed in the text?
What is the main advantage of systematic random sampling compared to simple random sampling?
What is the main advantage of systematic random sampling compared to simple random sampling?
Which of the following is NOT a disadvantage of systematic random sampling?
Which of the following is NOT a disadvantage of systematic random sampling?
If a systematic sample of 100 students is to be selected from a population of 1200 students, what is the sampling interval?
If a systematic sample of 100 students is to be selected from a population of 1200 students, what is the sampling interval?
Which of the following statements about systematic random sampling is correct?
Which of the following statements about systematic random sampling is correct?
What is the primary reason for using systematic random sampling over simple random sampling?
What is the primary reason for using systematic random sampling over simple random sampling?
Which of the following statements about systematic random sampling is FALSE?
Which of the following statements about systematic random sampling is FALSE?
In systematic random sampling, what determines the starting point for selecting the first unit?
In systematic random sampling, what determines the starting point for selecting the first unit?
Which of the following statements is true about systematic random sampling?
Which of the following statements is true about systematic random sampling?
What is the primary disadvantage of systematic random sampling compared to simple random sampling?
What is the primary disadvantage of systematic random sampling compared to simple random sampling?
What is the main advantage of cluster sampling over other probability sampling methods?
What is the main advantage of cluster sampling over other probability sampling methods?
In the context of cluster sampling, what can lead to imprecise sample results?
In the context of cluster sampling, what can lead to imprecise sample results?
Which sampling method allows for information collection from various areas and groups, making it easily implementable?
Which sampling method allows for information collection from various areas and groups, making it easily implementable?
What is a characteristic of multi-stage sampling?
What is a characteristic of multi-stage sampling?
What error can occur in cluster sampling due to the selection of homogeneous clusters?
What error can occur in cluster sampling due to the selection of homogeneous clusters?
How does multi-stage sampling differ from one-stage sampling in terms of complexity?
How does multi-stage sampling differ from one-stage sampling in terms of complexity?
Which statement about cluster sampling is false?
Which statement about cluster sampling is false?
Which of the following is a characteristic that can be used to divide a population into stratified groups?
Which of the following is a characteristic that can be used to divide a population into stratified groups?
What is the purpose of dividing a population into strata when using stratified random sampling?
What is the purpose of dividing a population into strata when using stratified random sampling?
In the example provided, what is the total population size?
In the example provided, what is the total population size?
What is the purpose of using a stratified random sampling approach in the example provided?
What is the purpose of using a stratified random sampling approach in the example provided?
What is the name of the sampling technique described in the last paragraph?
What is the name of the sampling technique described in the last paragraph?
What is the key characteristic of the cluster sampling method?
What is the key characteristic of the cluster sampling method?
What is the purpose of using cluster sampling?
What is the purpose of using cluster sampling?
What is the relationship between the population size and the desired sample size in the example provided?
What is the relationship between the population size and the desired sample size in the example provided?
What is the purpose of using random or systematic samples of a predetermined size from each stratum in stratified random sampling?
What is the purpose of using random or systematic samples of a predetermined size from each stratum in stratified random sampling?
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Study Notes
Sampling Methods
- Basic Method: Requires no technical knowledge, just basic listening and recording skills.
- Systematic Random Sampling:
- Selecting one unit at random, then every "nth" element in succession from the sampling frame.
- Disadvantages: Difficult to manage large populations and provide unique designations to every member.
- Not efficient with skewed population distributions.
- Advantages of Systematic Sampling:
- Known and equal chance of any sampling interval being selected.
- Efficiency: No need to designate every population member, just those early on the list.
- Less expensive and faster than simple random sampling.
Cluster Sampling
- Divides the population into clusters and selects a sample from each cluster.
- Advantages:
- Consumes less time and cost.
- Does not require a list of all members of the universe.
- Ease of implementation.
- Disadvantages: Cluster specification error (the more homogeneous the cluster, the more imprecise the sample results).
Multi-Stage Sampling
- Combination of one or more methods.
- Population is divided into multiple clusters and then divided into sub-groups (strata) based on similarity.
- Sampling procedures are carried out in several stages using random sampling techniques.
Non-Probability Sampling
- Convenience Sampling:
- Selects "units" based on ease of obtaining them or simple availability.
- Samples drawn at the convenience of the interviewer.
- Judgment Sampling:
- Requires a judgment or "educated guess" on the part of the interviewer.
- Disadvantages: Subjectivity enters in, and certain members have a smaller or no chance of selection.
- Volunteer Sampling:
- Non-probability samples where instances are selected by volunteers.
Probability Sampling
- Simple Random Sampling:
- Each unit of the population has an equal chance of being selected.
- Probability of being selected is "known and equal" for all members.
- Stratified Random Sampling:
- Divides the population into homogeneous groups (strata) based on characteristics.
- Random or systematic samples of predetermined size are obtained from each group (stratum).
- Cluster Random Sampling:
- Divides the population into groups (clusters), and a random sample of clusters is selected.
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