Learn Before
Cluster Sampling
Cluster sampling is a probability sampling technique where researchers randomly select larger groupings or 'clusters' of individuals—such as entire small towns or specific schools—and then randomly sample individuals from within those chosen clusters. This method minimizes travel and logistical costs for face-to-face interviews and is uniquely the only probability sampling approach that does not require a comprehensive sampling frame of the entire population.
0
1
Tags
KPU
Research Methods in Psychology - 4th American Edition @ KPU
Related
Sampling Frame
Cluster Sampling
Simple Random Sampling
Stratified Random Sampling
Which of the following is a key characteristic of probability sampling?
A researcher wants to study stress levels among all undergraduate students at a university. She posts flyers inviting volunteers and enrolls every student who responds. She reasons that because she can count exactly how many students signed up out of the total enrollment, she can calculate each person's probability of being in her sample, and therefore she is using probability sampling.
A psychologist is conducting a study on the relationship between sleep quality and academic performance. They intend to use a probability sampling method to ensure every student at their university has a known, mathematically specified chance of being included. Arrange the following steps in the correct order to execute this sampling plan.
A researcher is evaluating different sampling strategies for a study on campus life. Match each specific sampling scenario with the logical reason it either meets or fails the mathematical requirements of probability sampling.
A psychologist evaluates a colleague's study on social anxiety and concludes that the sampling method fails to meet the criteria for probability sampling. This judgment is justified because the colleague cannot mathematically specify the exact ________ that each member of the defined population will be selected.
Suppose you are designing a new study to investigate the prevalence of social anxiety among the residents of a specific rural county. To ensure the results are representative and the probability of selection for each resident is mathematically specified, which of the following procedures should you create and implement?
A researcher can successfully perform probability sampling without defining the target population beforehand, because the exact selection probabilities can be calculated after the data collection is complete.
A research team plans a new study. Match each research goal or step with the correct action required to satisfy the conditions of probability sampling.
An investigator analyzing a survey methodology determines that the design cannot qualify as probability sampling because the researchers are unable to mathematically specify the exact _____ that each member of the defined population will be selected.
Order the steps of executing and evaluating a survey study using probability sampling, starting from the necessary prerequisite to the final population estimate.
Learn After
What is the defining procedure of cluster sampling?
A researcher wants to study the work-life balance of therapists across a large state using cluster sampling to minimize travel costs. Arrange the steps of this sampling process in the correct order.
A researcher is studying the mental health of nurses across a large state. Because they do not have a list of all nurses in the state, they randomly select 25 hospitals and then randomly select 12 nurses from each of those hospitals to interview. Match each element of this research plan to its role in the cluster sampling technique.
A researcher is investigating social interactions among preschoolers in a large city but does not have access to a central registry of every individual child. To address this, the researcher randomly selects 20 preschools and then randomly selects students from within those schools to participate.
True or False: In this scenario, cluster sampling is the only technique involving random selection that can be implemented without a complete list of every individual member of the population.
What is a primary logistical advantage of using cluster sampling for face-to-face interviews in psychological research?
Match each core aspect of the cluster sampling technique with its corresponding role or benefit within psychological research.
In a methodological evaluation, a researcher determines that _____ sampling is the most appropriate probability technique for a study when a comprehensive sampling frame of the entire population is unavailable, as it is uniquely the only probability method that does not require such a list.
A public health researcher studying depression prevalence in rural communities randomly selects 10 rural counties and then randomly surveys 40 residents from within each selected county. This study design qualifies as cluster sampling.
A researcher comparing probability sampling techniques concludes that simple random sampling, systematic sampling, and stratified sampling all require a complete list of every member of the target population—known as a _____—whereas cluster sampling is the only probability method that does not require one.
A researcher is evaluating whether cluster sampling is the best-justified probability method for a nationwide study on student well-being in which no master list of all students exists and face-to-face interviews are required across a large geographic area. Arrange the following evaluative steps in the order a researcher should logically complete them when making and justifying this methodological decision.