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Proportionate Stratified Random Sampling
Proportionate stratified random sampling is a variation of stratified sampling used to select a sample where the proportion of respondents in each subgroup perfectly matches their corresponding proportion in the overall population. For instance, if a demographic group makes up exactly of the national population, this method guarantees they will constitute exactly of the study's final sample.
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Research Methods in Psychology - 4th American Edition @ KPU
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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.
An educational psychologist wants to study reading comprehension among elementary students in a district. To guarantee that students from low, middle, and high socioeconomic statuses are adequately represented, the researcher separates the district's student roster into these three socioeconomic categories. Then, a random number generator is used to select 50 students from each category. This researcher has designed their study using ____ random sampling.
A cognitive psychologist wants to study memory retention across different age groups. They divide their target population into three strata: Young Adults, Middle-Aged Adults, and Older Adults. They then post a survey link on a popular social media platform and wait until exactly 100 people from each age group have voluntarily completed it. Which of the following represents an accurate methodological analysis of this study's sampling design?
A developmental psychologist is investigating a new reading intervention in a school district where 85 percent of students are neurotypical and 15 percent are neurodivergent. To ensure sufficient data for comparing both groups, the researcher separates the district roster into 'neurotypical' and 'neurodivergent' subgroups. The researcher then stands outside the special education resource room to hand out surveys to the first 50 neurodivergent students who walk by, and does the same outside the main cafeteria to recruit 50 neurotypical students.
How should a peer review committee evaluate this methodology's adherence to stratified random sampling?
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What is the defining characteristic of a sample selected using proportionate stratified random sampling?
In proportionate stratified random sampling, a researcher selects an equal number of participants from each subgroup, regardless of how large or small each subgroup is in the overall population.
A university researcher is conducting a study on student wellness and wants to use proportionate stratified random sampling. The student population is divided into four distinct strata based on their year of study. If the researcher intends to recruit a total sample size of , match each population percentage to the specific number of participants required to ensure the sample proportions perfectly mirror the population proportions.
To ensure a research design meets the rigorous standards of 'proportionate' stratified random sampling, a researcher must execute a specific logical sequence. Arrange the following steps in the order that guarantees the final sample proportions will perfectly mirror the population proportions.
If a specific demographic group makes up exactly of the national population, which sampling method guarantees that they will also constitute exactly of the research study's final sample?
In a psychology study using proportionate stratified random sampling, if a specific minority group represents exactly of the overall population, the researcher must ensure that this same group constitutes exactly of the final sample, even if that results in a very small number of participants for that specific stratum.
A researcher is investigating campus climate at a university where 30% of the student body are first-generation college students. If the researcher uses proportionate stratified random sampling to recruit a sample of 400 students, the final sample must include exactly _____ first-generation students.
In a psychology study aiming for a total sample size of participants, match each subgroup's overall population percentage to the number of respondents required to achieve proportionate stratified random sampling.
A variation of stratified sampling where the proportion of respondents in each subgroup perfectly matches their corresponding proportion in the overall population is called _____ stratified random sampling.
Order the steps a researcher must take to properly set up and execute a study using proportionate stratified random sampling.
Define proportionate stratified random sampling and explain its primary goal regarding subgroup representation in a final sample.
Based on the principles of proportionate stratified random sampling, how should the research team distribute their final sample across the urban, suburban, and rural subgroups, and why is this method appropriate for their goal?
A university has a student body where are undergraduates and are graduate students. If a researcher wants a total sample of students using proportionate stratified random sampling, exactly how many undergraduate students must be included in the final sample?