
SAMPLING TECHNIQUES IN RESEARCH
Quiz by Cherry Jose
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13 questions
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- Q1Which of the following is a non-probability sampling technique?Cluster samplingSystematic samplingConvenience samplingStratified sampling30s
- Q2What is the purpose of stratified sampling in research?To cluster participants based on geographic locationTo randomly select participants from a defined populationTo select participants based on convenienceTo ensure different subgroups are represented proportionally in the sample30s
- Q3What sampling technique involves selecting every nth individual from a list?Snowball samplingConvenience samplingPurposive samplingSystematic sampling30s
- Q4Which sampling technique involves selecting a random starting point and then selecting every kth element from that point?Cluster samplingSnowball samplingConvenience samplingPurposive sampling30s
- Q5What is the difference between probability and non-probability sampling techniques?Probability sampling does not involve random selection, while non-probability sampling involves random selection.Probability sampling only selects participants from a specific subgroup, while non-probability sampling selects participants randomly.Probability sampling involves random selection, while non-probability sampling does not involve random selection.Probability sampling is biased, while non-probability sampling is unbiased.30s
- Q6What is the main advantage of using random sampling techniques in research?It guarantees a diverse sample representing various subgroupsIt allows researchers to select participants based on convenienceIt reduces the time and effort required for participant selectionIt ensures that every member of the population has an equal chance of being selected30s
- Q7Which sampling technique involves participants referring other potential participants for inclusion in the study?Systematic samplingCluster samplingSnowball samplingPurposive sampling30s
- Q8What is the purpose of quota sampling in research?To divide the population into clusters and randomly select from each clusterTo ensure that certain subgroups are adequately represented in the sampleTo select participants randomly from the populationTo include participants based on convenience and accessibility30s
- Q9Which sampling technique involves dividing the population into mutually exclusive subgroups and then randomly selecting samples from each subgroup?Quota samplingCluster samplingStratified samplingConvenience sampling30s
- Q10Which sampling technique involves selecting participants based on their availability and accessibility?Snowball samplingSystematic samplingConvenience samplingStratified sampling30s
- Q11Which sampling technique involves selecting participants based on a pre-defined set of criteria?Purposive samplingRandom samplingSnowball samplingConvenience sampling30s
- Q12What sampling technique involves selecting a sample based on criteria such as age, gender, or income to ensure a diverse representation of the population?Convenience samplingSystematic samplingStratified samplingCluster sampling30s
- Q13What sampling technique involves randomly selecting individuals from a population without any specific criteria?Quota samplingSimple random samplingSnowball samplingPurposive sampling30s