#1
Which of the following sampling methods allows every member of the population to have an equal chance of being selected?
Stratified Sampling
Cluster Sampling
Systematic Sampling
Simple Random Sampling
#2
In survey design, what is a population?
The subset of individuals who respond to the survey
The group of individuals under study
The characteristics being measured
The total number of questions in the survey
#3
What is the term used to describe the degree to which a sample reflects the characteristics of the population?
Sample bias
Sample size
Sampling error
Sample representativeness
#4
What is the term used to describe the error that occurs when the sample does not represent the population accurately?
Sampling bias
Sampling error
Non-response error
Measurement error
#5
Which of the following is an example of non-probability sampling?
Simple random sampling
Stratified sampling
Convenience sampling
Systematic sampling
#6
What is the primary purpose of using a sample in research?
To guarantee accurate results
To ensure the population is fully represented
To make inferences about the population
To eliminate bias from the study
#7
What does 'sampling frame' refer to in sampling methods?
The process of selecting the sample
The list of all the individuals or items in the population
The method used to analyze the survey data
The characteristics of the population
#8
What is the primary advantage of cluster sampling over simple random sampling?
It is more cost-effective
It allows for more precise estimates
It is easier to implement
It preserves natural groupings in the population
#9
What is the purpose of stratified sampling?
To ensure every member of the population has an equal chance of being selected
To divide the population into homogeneous subgroups before sampling
To select individuals based on their proximity to one another
To select individuals who are easily accessible
#10
What is the difference between quota sampling and stratified sampling?
Quota sampling divides the population into subgroups, while stratified sampling does not
Stratified sampling allows for equal representation from each subgroup, while quota sampling does not
Quota sampling ensures randomness in selection, while stratified sampling does not
Stratified sampling is used in qualitative research, while quota sampling is used in quantitative research
#11
In survey design, what is the purpose of a pilot study?
To select the appropriate sampling method
To test the survey questions and procedures
To analyze the survey data
To determine the sample size
#12
What is the primary advantage of using cluster sampling?
It is less expensive than other sampling methods
It allows for more precise estimates than simple random sampling
It ensures every member of the population has an equal chance of being selected
It is easier to implement than other sampling methods
#13
What is a potential drawback of using convenience sampling in a survey?
It may introduce bias into the sample
It ensures representation from all population groups
It requires less time and resources
It guarantees a random selection process
#14
What is a disadvantage of using systematic sampling?
It requires a complete list of the population
It may lead to biased samples if there is periodicity in the population
It is more time-consuming than other sampling methods
It requires specialized software for implementation
#15
What is a disadvantage of using snowball sampling?
It is difficult to implement
It relies heavily on the initial contacts
It requires a complete list of the population
It does not ensure diversity in the sample
#16
What is an example of purposive sampling?
Random sampling
Convenience sampling
Stratified sampling
Snowball sampling