What is population in research methodology
Key Takeaways In statistics, a population is the entire pool from which a statistical sample is drawn.
Population and sample examples
Cluster sampling may produce misleading results when the disease under study itself is distributed in a clustered fashion in an area. No exact sample size can be mentioned here and it can vary in different research settings. For example, if researcher want to study the emotional intelligence of graduate students. For example, generalizing from observations made on the mental health status of a sample of lawyers in Delhi to the mental health status of all lawyers in Delhi is a formalized procedure, in so far as the errors sampling or random which this may hazard can, to some extent, be calculated in advance. This is the reason why researchers rely on sampling techniques. The "study population" is the population from which sample is to be drawn. Population can also be defined more specifically, such as the number of newborn babies in North America with brown eyes, the number of startups in Asia that failed in less than three years, the average height of all female CFA exam candidates, mean weight of all U. 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.
When the standard deviation is divided by the square root of the number of observations in the sample, the result is referred to as the standard error of the mean. The larger group target population is difficult to identify.
For example, suppose we are studying malaria in a population. Prepare a comprehensive list of all the units in a population of interest 2.
Importance of population and sample in research
Basic requirements of simple random sampling 1. Use of the word population in epidemiological research does not correspond always with its demographic meaning of an entire group of people living within certain geographic or political boundaries. For example, Telephone directory, Students data base from department of school education, list of school principal from the official website of concern department and so forth. It is the Sampling procedure, which will decide the accurate representation of the sample selected for the study as well as the relevance of generalization made from the research. Such as selection of every 10th person from a telephone directory or every 6th person from a college admission register. However, administrative boundaries do not always consist of homogenous group of people. It is also preferred over the simple random sampling because it warrants more precise statistical outcomes.
The study sample is the sample chosen from the study population. People who could have been participants in your study but did not actually participate are not considered part of your sample.
Sampling Techniques Sample can be selected through different methods. Within this sample of districts, all the hospitals would then be listed by name, and a random sample of these can be drawn.
It would be quite tedious to devise a scheme which would allow the total population of patients to be directly sampled. Similarly, patients of schizophrenia in a clinical study is a sample of the population of schizophrenics, provided the sample is properly chosen and the inclusion and exclusion criteria are well defined.
based on 74 review