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Stratified Random Sampling
Stratified random sampling is a probability sampling method where a target population is first divided into distinct subgroups, known as strata, often based on demographic traits. After these groups are established, a simple random sample is drawn independently from each stratum, ensuring that various segments of the population are represented appropriately in the study.
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Research Methods in Psychology - 4th American Edition @ KPU
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Stratified Random Sampling
Simple Random Sampling
1936 Literary Digest Straw Poll
Which of the following provides the best definition of a sampling frame?
A researcher is planning several different studies. Match each group of interest with the specific source list that would serve as the most appropriate sampling frame for selecting participants.
A researcher discovers that their sampling frame—a list of residential landline phone numbers—excludes approximately 25% of the local community who only use cell phones. If the researcher increases their random sample size from 400 to 800 people using this same list, they will effectively eliminate the bias introduced by the incomplete list.
A researcher is designing a study to evaluate the job satisfaction of all licensed clinical psychologists currently practicing in a specific state. To ensure the study uses a random selection process where every professional in that group has a chance of being included, the researcher must identify an appropriate sampling frame. Rank the following potential sources from the most representative sampling frame (1) to the least representative sampling frame (4).
Establishing an accurate sampling frame is a necessary prerequisite for conducting most forms of probability sampling.
Which of the following best describes the functional role of a sampling frame in the research process?
When a researcher uses a local hospital's patient admission records to select participants for a clinical study, that comprehensive list serves as the _____.
A researcher is planning studies for different target populations. Match each specified population with the most appropriate source list to establish its sampling frame.
A researcher is unable to obtain a comprehensive list of all members of their target population. Because establishing an accurate sampling frame is a necessary prerequisite for conducting most forms of _____, they cannot use random selection techniques.
Order the steps a researcher must take to implement a probability sampling design, starting from the initial conceptual stage to the selection of respondents.
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.
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Proportionate Stratified Random Sampling
Disproportionate Stratified Random Sampling
Which of the following accurately describes the process of stratified random sampling?
A psychology researcher wants to study campus stress levels and decides to use stratified random sampling based on students' year of study (First-year through Fourth-year). Match each component of this specific study to the corresponding concept in stratified sampling.
A developmental psychologist is conducting a study on the social media habits of teenagers in a large school district. To ensure the results represent all grade levels equally, the researcher decides to use stratified random sampling based on grade (9th, 10th, 11th, and 12th). Arrange the following steps in the correct order to implement this sampling method.
A clinical psychologist studying depression stratifies a population by the severity of symptoms (Mild, Moderate, and Severe) and randomly selects 50 participants from each group, even though the 'Severe' group is much smaller in the general population. True or False: This approach is a valid application of stratified random sampling intended to ensure that the rarest subgroup has enough data for a reliable statistical analysis.
In stratified random sampling, after the population is divided into distinct subgroups (strata), the researcher draws a simple random sample independently from each subgroup.
Which of the following best explains the primary benefit of dividing a population into distinct subgroups (strata) before drawing independent simple random samples from each subgroup?
When a researcher determines that the most effective way to ensure that all segments of a population are represented in their study is to sample from distinct subgroups independently, they are making a judgment that _____ is the most appropriate method to use.