How to Grab and Determine the Size of The Sample For Research

Ismail, Irfan Ananda and Pernadi, Niza Lian and Febriyanti, Agnes (2022) How to Grab and Determine the Size of The Sample For Research. International Journal of Academic and Applied Research (IJAAR), 6 (9). pp. 88-92. ISSN 2643-9603

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Abstract

This study aims (1) to find out how to randomly select a sample with various types of cases that exist in the social and community environment influences of the family environment, peers, and perceptions of a profession. Sampling is a process of several objects or populations that will be examined for their properties. The statistical method related to drawing conclusions through samples, is called inductive statistics / inference. Instead, the conclusion of a population or group that does not represent a larger group, is called descriptive / deductive statistics. and the way the data is collected is called a census. The selection of samples is a very important part of the study, measurement is often entrusted to the interview and the list of questions used. In nonexperimental studies, researchers were only able to regulate general variables through stratification / grouping of respondents, selection of respondents as samples, making a list of questions and training interviewers. However, even though there are good samples, the question dimensions tested, trained interviewers, researchers cannot supervise and manage the relationship between the respondent and the interviewer, so the results of the information collected can deviate from what was expected. Therefore, the interviewer must really live up to the purpose and objectives of the research, be interested and also want to know the answers to the questions asked. The selection of appropriate / good respondents, it is very necessary to guarantee that the information obtained really reflects the desired population. There are several ways of collecting samples, namely simple random sampling (Simple random sampling), stratified random sampling, systematic sampling, group (cluster sampling), gradual (Multistage sampling) and selected sampling. As for how to take and process samples with nominal scale techniques, ordinal scale, interval scale and constellation scale. Calculations can also be done with various formulas such as cross-sectional research sample formulas and case control and cohort research sample formulas

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