when to use quota sampling

Quota sampling, as the name suggests, is to fix a quota of respondents for each category. First, you need to understand the difference between a population and a sample, and identify the target population of your research. Please check you selected the correct society from the list and entered the user name and password you use to log in to your society website. In quota sampling, the population is first segmented into mutually exclusive sub-groups, just as in stratified sampling. The population can be defined in terms of geographical location, age, income, and many other characteristics. I have read and accept the terms and conditions. Quota sampling, a non-probability sampling method, is a viable approach to serve the needs of the researcher. the site you are agreeing to our use of cookies. It also allows the researcher to study traits and characteristics that are noted for each subgroup. If you have an individual subscription to this content, or if you have purchased this content through Pay Per Article within the past 24 hours, you can gain access by logging in with your username and password here: This site uses cookies. You can be signed in via any or all of the methods shown below at the same time. Access to society journal content varies across our titles. This project has received funding from the, Select from one of the other courses available, Creative Commons-License Attribution 4.0 International (CC BY 4.0), European Union's Horizon 2020 research and innovation programme, Then, the researcher must identify the proportions of these subgroups in the population; this same proportion will be applied in the. Quota sampling as an early form of survey sampling that specified categories of respondents and the number of respondents who you need to include in each such subsample. Sampling involves the selection of a portion of the population being studied. Then, he takes note of the proportions of these subgroups in the entire population and then samples each subgroup accordingly. It is a rapid method of collecting samples. This means you're free to copy, share and adapt any parts (or all) of the text in the article, as long as you give appropriate credit and provide a link/reference to this page. No problem, save it as a course and come back to it later. A Comparison of Results from a Quota and Probability Sample Survey’, ‘Changes in Telephone Survey Nonresponse over the Past Quarter Century’, ‘A New Approach to Sampling from Finite Populations. Quota sampling is useful when the time frame to conduct a survey is limited, the research budget is very tight, or survey accuracy is not the priority. The final step ensures that the sample is representative of the entire population. When to Use Quota Samples The main reason why researchers choose quota samples is that it allows the researchers to sample a subgroup that is of great interest to the study. The populationis the entire group that you want to draw conclusions about. If a study aims to investigate a trait or a characteristic of a certain subgroup, this type of sampling is the ideal technique. Instead of randomly selecting from strata that cover the whole population, researchers choose a "quota" of participants from different subgroups using a non-probability method. Quota sampling is the non-probability equivalent of stratified sampling. Distribution-Free Sufficiency’, ‘Nonresponse Rates and Nonresponse Bias in Household Surveys’, ‘The Role of Topic Interest in Survey Participation Decisions’, ‘Respondent-Driven Sampling: A New Approach to the Study of Hidden Populations’, ‘Non-probability designs for litigation surveys’, ‘Representative Sampling IV: The History of the Concept in Statistics, 1895-1939’, ‘Testing nine hypotheses about quota sampling’, ‘An experimental study of Quota Sampling’, ‘On the Two Different Aspects of the Representative Method: The Method of Stratified Sampling and the Method of Purposive Selection’, ‘On the probable errors of frequency constants and on the influence of random selection on variation and correlation’, ‘On the criterion that a given system of deviations from the probable in the case of a correlated system of variables is such that it can be reasonably supposed to have arisen from random sampling’, ‘On Finite Population Sampling Theory under Certain Linear Regression Models’, IOP Conference Series: Earth and Environmental Science, SAGE Publications and the British Sociological Association, Quota Sampling as an Alternative to Probability Sampling? Finally, the researcher selects subjects from the various subgroups while taking into consideration the proportions noted in the previous step. Using the quota sample makes the comparison of these groups easy. (Eds.) I agree with David that it is no more in vogue and better to use other types to sampling to minimize bias. The application of quota sampling can be cost-effective.3. Variation in Masculinities and Fathering Behaviors: A Cross-National C... Father-Adolescent Relationship Closeness: A Path Analysis of Family Fa... Curtin, R. , Presser, S. and Singer, S. (, Groves, R. M. , Dillman, D. A. , Eltinge, J. L. , & Little, R. J. For example, job interviewers with a limited time frame to hire specific types of individuals can use quota sampling. For these reasons, we do not think quota sampling should be taken as an acceptable alternative to probability sampling. You are free to copy, share and adapt any text in the article, as long as you give. Usually, the subgroups are the characteristics or variables of the study. It can easily be administered and helps in quick comparison. In a study wherein the researcher likes to compare the academic performance of the different high school class levels, its relationship with gender and socioeconomic status, the researcher first identifies the subgroups. A. The researcher divides the entire population into class levels, intersected with gender and socioeconomic status. If you have access to a journal via a society or association membership, please browse to your society journal, select an article to view, and follow the instructions in this box. This differs from stratified sampling, where the respondents are selected by random sampling. In spite of the establishment of probability sampling methods since the 1930s, non-probability sampling methods have remained popular among many commercial and polling agents, and they have also survived the embarrassment from a few incorrect predictions in American presidential elections. Keep in mind that only the selected traits of the population were taken into account in forming the subgroups. Don't have time for it all now? Take it with you wherever you go. In this case, as a sample is formed based on specific attributes, the created sample will have the same qualities found in the total population. It is this second step which makes the technique one of non-probability sampling. In this study we aim to test whether results from a quota sample, believed to be the non-probability sampling method that is the closest in representativeness to probability sampling, are statistically equivalent to those from a probability sample. Like Explorable? Simply select your manager software from the list below and click on download. Researchers can use quota sampling to study a characteristic of a particular subgroup, or observe relationships between different subgroups. Quota sampling is a non-probability sampling technique wherein the assembled sample has the same proportions of individuals as the entire population with respect to known characteristics, traits or focused phenomenon. Create a link to share a read only version of this article with your colleagues and friends. You don't need our permission to copy the article; just include a link/reference back to this page. Lean Library can solve it. It may appear that this type of sampling technique is totally representative of the population. Another reason to choose quota sampling is simply to try and make a convenience sample (where you just sample anyone who is convenient, without any constraints, strata, or groupings) more representative. If a study aims to investigate a trait or a characteristic of a certain subgroup, this type of sampling is the ideal technique. Quota sampling emerges as an attractive choice when you are pressed for time, because primary data collection can be done in shorter time.2. eval(ez_write_tag([[300,250],'explorable_com-medrectangle-4','ezslot_1',340,'0','0']));In addition to this, the researcher must make sure that the composition of the final sample to be used in the study meets the research's quota criteria. For more information view the SAGE Journals Sharing page. Click the button below for the full-text content, 24 hours online access to download content. Login failed. In the process of sampling these subgroups, other traits in the sample may be overrepresented. Quota sampling is advantageous in that it can be fairly quick and easy to assemble a quota sample locally, which means it has the benefit of time-saving within the research process. Another advantage of quota sampling is it gives a better representation of certain groups within the population, without over-representing them. A quota sample can also be achieved on a low budget because of this.

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