Even though it is an unintentional selection of the sample, it should have affected the result of the study as it was not the real representation of the actual characteristics of the population. It is a sociometric sampling method and also known as network, chain referral or reputation sampling method. But the problem is that here the researcher select the categorized people at his/her convenience. It is also known as judgment sampling. The process of conducting a survey to collect data from the entire population is called a census. The approach to select the sample is to pick a starting point and then pick respondents at a pre-defined sample interval. At the end of the data collection the respondent will be asked to provide the contact information of another respondent who can give relevant information regarding this area of the study. The list should be comprehensive as well as latest. The common characteristics of the groups distinguish them from other individual, institutions, objects and so forth. Blalock (1960) classified the sampling methods in to two categories on the basis of the nature of selection of the sample units. These categorized populations are called subpopulations. He/she can write the names or roll numbers of the whole students on separate slips of paper in equal size and colour- and fold them in similar way. Systematic sampling can be defined as selecting or drawing of every nth item or person from a pre determined list. Any value which is identified or measured from the characteristics of entire population can be called as Parameter. Each of the chosen sub-areas is then fully inspected and enumerated, and may form the basis for further sampling if desired. Judgment sampling is used in exploratory research or in field research. Snow ball sampling is more useful when there are small possibilities to get the information regarding the population or the population is unknown. Area sampling is a method of sampling used when no complete frame of reference is available. Finally he can see that each group shows differences in their mean scores with another group or sample as well as with the population mean. The populationis the entire group that you want to draw conclusions about. Comprehend the concept like, Population, Sample, sampling, sampling erroretc.2. 2. Here the population is divided in to two or more strata. The adolescents, youths in Telungana can be treated as examples for infinite population, though they can be counted but in complex procedure. Non random sampling techniques are the techniques in which the researchers select the samples from the population without randomization. vi. In this sampling the investigator initially sets some relevant categories of people and decides the number of units should be selected for the study as a sample. Sampling frame is the list of subjects/people under the study, such as household,, students, teachers, principals and so forth. So sample can be defined as the small portion of a population selected for a particular study. The variation between the means of sample groups as well as population mean is called sampling error. The sampleis the specific group of individuals that you will collect data from. Hence these methods are also called as Probability sampling methods. It is neither feasible to conduct a survey on all citizens throughout India nor justifiable to administer a questionnaire or conduct interview among any particular part of India. An out person may be invited to pick twenty slips from the box as he wish. Describe the advantage and limitations of stratified random sampling, Dr. RAFEEDALI.E, Assistant Professor,MANUU, CTE, Srinagar, 9419035681, rafeedaliamu@yahoo.com, Creative Commons Attribution 4.0 International License, I) Non-Random sampling techniques (Non- Probability Sampling), II) Random sampling techniques (Probability Sampling), i. Random sampling methods are the methods which ensure the probability of each element in the population for being selected as sample unit for the study. Randomness completely depends on the procedure of selection of sampling units from the population. Such samples are easily available and economical but it makes systematic errors and may leads to false generalizations. As the population widely scattered, it becomes costly as well as time, v. If there are more heterogeneity among the unit of population, a simple random, sample may not necessarily represent the true characteristics of population, vi. Large sample size is required to establish the reliability. A researcher planned to conduct a study on Emotional Intelligence of secondary school 3 students in Telungana state. Ensure a systematic process of selection where one unit of selection has noimpact on the chances of selecting another unit. Judgment sampling is economical, more convenient, easily accessible and select only those persons who can give relevant information to the research area. Improper stratification may cause wrong results, ii. In research terminology the Population can be explain as a comprehensive group of individuals, institutions, objects and so forth with have a common characteristics that are the interest of a researcher. Convenience sampling is also called as haphazard as well as accidental sampling. The process of selection or the drawing of the accurate representation of a unit, group or sample from a population of interest is called as sampling. Purposive sampling is suitable to select unique cases when the researcher knew that they might be providing relevant and valuable information that he or she requires. These processes are repeated and get more respondents and relevant information to the researcher.
Drums Along The Mohawk Full Movie, Wifi Direct Samsung Smart Tv, Knee Immobilizer Instructions, Australian Cigarettes Packaging, Cigarette Prices By Brand Near Me, Compare Any Two Traditional And Innovative Methods Of Teaching, The Gravity Of Us Phil Stamper Pdf, Operating Agreement Llc Florida, Huawei Y6 Prime 2019 Price In Uae, Reaktor User Library,