Step one define your sample and target population brainly
By Julia Simkus, published Jan 07, 2022 Show
Quota sampling is a type of non-probability sampling where researchers will form a sample of individuals who are representative of a larger population. Non-probability sampling means that researchers choose the sample as opposed to randomly selecting it, so not all members of the population have an equal chance of participating in the study. Key Terms
Researchers will assign quotas to a group of people in order to create subgroups of individuals that represent characteristics of the target population as a whole. Some examples are these characteristics are gender, age, sex, residency, education level, or income. Once the subgroups are formed, the researchers will use their own judgment to select the subjects from each segment to produce the final sample. It is important for researchers to maintain the correct proportions to represent the population. For example, if the larger population is 65% female and 35% male, the final sample should reflect these percentages. Types of quota sampling
Applications: When is it usedQuota sampling is used when…
How to quota sample?
AdvantagesQuick and easyBecause the sample is representative of the population of interest, quota sampling saves data collection time. It is a quick, straightforward, and convenient way to sample data. CheapThe research costs for this method of sampling are minimal. Researchers save money by using fewer quotas to represent the whole population rather than sampling every individual of a larger population. Representative of target populationThe goal of quota sampling is to replicate the population of interest. Researchers will aim to form a sample that effectively represents the population’s characteristics. LimitationsLarge potential for biasBecause this method involves non-random sample selection, samples can be biased, making the data less reliable. Not generalizable to the populationWhile this sampling method can be very representative of the quota-defining characteristics, other important characteristics may not be represented in the final sample group. Cannot calculate sampling errorBecause quota sampling is not a probability sampling method, researchers are unable to calculate the sampling error. Examples
Quota Sampling vs Stratified SamplingQuota sampling and stratified sampling both involve dividing a population into mutually exclusive subgroups and sampling a predetermined number of individuals from each. However, the most significant difference between these two techniques is that quota sampling is a non-probability sampling method while stratified sampling is a probability sampling method. In a stratified sample, individuals within each stratum are selected at random while in a quota sample, researchers choose the sample as opposed to randomly selecting it. About the AuthorJulia Simkus is an undergraduate student at Princeton University, majoring in Psychology. She plans to pursue a PhD in Clinical Psychology upon graduation from Princeton in 2023. Julia has co-authored two journal articles, one titled “Substance Use Disorders and Behavioral Addictions During the COVID-19 Pandemic and COVID-19-Related Restrictions," which was published in Frontiers in Psychiatry in April 2021 and the other titled “Food Addiction: Latest Insights on the Clinical Implications," to be published in Handbook of Substance Misuse and Addictions: From Biology to Public Health in early 2022. How to reference this article:How to reference this article:Simkus, J. (2022, Jan 07). Quota Sampling: Definition, Method and Examples. Simply Psychology. www.simplypsychology.org/quota-sampling.html SourcesBoston University School of Public Health. (n.d.). The role of probability. Sampling. Retrieved from https://sphweb.bumc.bu.edu/otlt/mph-modules/bs/bs704_probability/bs704_probability2.html Guignard R, Wilquin J-L, Richard J-B, Beck F (2013) Tobacco Smoking Surveillance: Is Quota Sampling an Efficient Tool for Monitoring National Trends? A Comparison with a Random Cross-Sectional Survey. PLoS ONE 8(10): e78372. https://doi.org/10.1371/journal.pone.0078372 Im, E. O., & Chee, W. (2011). Quota sampling in internet research: practical issues. CIN: Computers, Informatics, Nursing, 29(7), 381-385. Morrow, K.M., Vargas, S., Rosen, R.K. et al. (2007). The Utility of Non-proportional Quota Sampling for Recruiting At-risk Women for Microbicide Research. AIDS Behav 11, 586. https://doi.org/10.1007/s10461-007-9213-z Owen, L., McNeill, A., & Callum, C. (1998). Trends in smoking during pregnancy in England, 1992-7: quota sampling surveys. Bmj, 317(7160), 728-730. Quota sampling: Definition, types & free examples. QuestionPro. (2021, July 19). Retrieved from https://www.questionpro.com/blog/quota-sampling/ Quota Sampling. Voxco. (2021, March 12). Retrieved from https://www.voxco.com/blog/quota-sampling/ Sedgwick, P. (2012). Proportional quota sampling. BMJ, 345. https://doi.org/10.1136/bmj.e6336 Thomson, C. S., Woolnough, S., Wickenden, M., Hiom, S., & Twelves, C. J. (2010). Sunbed use in children aged 11-17 in England: face to face quota sampling surveys in the National Prevalence Study and Six Cities Study. Bmj, 340. Home | About Us | Privacy Policy | Advertise | Contact Us Simply Psychology's content is for informational and educational purposes only. Our website is not intended to be a substitute for professional medical advice, diagnosis, or treatment. © Simply Scholar Ltd - All rights reserved What is target population and sample?Before research can begin the target population must be identified and agreed upon. The target population is the entire population, or group, that a researcher is interested in researching and analysing. A sampling frame is then drawn from this target population.
How do you define target population?Your target population is the group you want to know more about. Target population is an informal term used mostly in epidemiology. It's general defined to mean a group or set of elements that you want to know more information about. Most of the time, “target population” and “population” are synonymous.
What is target population and accessible population?Basically, target population (also known as theoretical population) is the group to whom we wish to generalize our findings. Study population (also known as accessible population) is the actual sampling frame, from which we randomly drew our sample.
What is the accessible population for this research project?The accessible population is the population in research to which the researchers can apply their conclusions. This population is a subset of the target population and is also known as the study population. It is from the accessible population that researchers draw their samples.
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