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What is sample in research methodology? 


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Sampling in research methodology refers to the process of selecting a subset of the population of interest for data collection and analysis. It is not always feasible to study the entire population, so a smaller group, known as the sample, is chosen. The sample should be representative of the population to ensure that the findings can be generalized. There are different sampling methods that can be used, including probability sampling and non-probability sampling. Probability sampling involves randomly selecting individuals from the population, while non-probability sampling involves selecting individuals based on the researcher's choice or the population's accessibility. The choice of sampling method depends on the research question and the desired level of generalizability. It is important to clearly mention the sampling method used in the research study to avoid misrepresentation.

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A sample in research methodology refers to a subset of individuals or units selected from a larger population for study.
A sample in research methodology refers to the cases or individuals selected for analysis to draw meaningful research conclusions.
Journal ArticleDOI
01 Jan 2020-Headache
35 Citations
A sample in research methodology refers to a subset of the population that is selected for data collection in a research study.

Related Questions

What is sampling research??4 answersSampling research refers to the process of selecting a subset of the population of interest for data collection and analysis. It is an important technique used in social sciences and other fields of research. Sampling can be categorized into two main types: probability sampling and non-probability sampling. Probability sampling involves selecting participants randomly from the target population, while non-probability sampling involves selecting participants based on convenience or judgment. The choice of sampling technique depends on the research goals and practical constraints. Sampling plays a crucial role in ensuring the validity and reliability of research findings. It allows researchers to draw inferences about the population based on the data collected from the sample. Understanding different sampling designs and their implications is essential for conducting high-quality research.
What is the Sampling Techniques of statistical research ?4 answersSampling techniques in statistical research involve selecting a subset or sample from a population to make observations and draw inferences about the entire population. The purpose of sampling is to reduce cost, time, and workload while still providing high-quality information that can be extrapolated to the population. It is important for the sample to be a true representation of the population to ensure that the inferences made can be applied to the population. Sampling techniques can be categorized into probability and non-probability methods. Probability sampling techniques, such as simple random sampling, systematic random sampling, and stratified random sampling, aim to draw a representative sample. Non-probability sampling techniques, such as quota sampling, self-selection sampling, convenience sampling, snowball sampling, and purposive sampling, also enable generalization of findings when implemented wisely. The selection of sampling techniques should be guided by research objectives, study scope, and availability of a sampling frame.
What is SAMPLING in research?4 answersSampling in research refers to the process of selecting a subset or sample from a larger population for the purpose of making observations and drawing inferences about the population under study. It is a statistical method used to reduce cost, time, and workload while providing high-quality information that can be extrapolated to the entire population. The selection of a representative sample is crucial to ensure that the inferences drawn from the analysis can be applied to the population. Different sampling techniques, such as probability and non-probability sampling, are used depending on the research goals and constraints. Probability sampling involves random selection methods and aims to maximize the statistical representativeness of the population, while non-probability sampling techniques, such as convenience sampling, are more commonly used due to practical constraints. Proper planning and consideration of sample size are essential for both quantitative and qualitative research to ensure the validity and generalizability of research findings.
What is a sample?5 answersStep 1: A sample is a subset of a population that is selected to represent the total population in a research study. It allows researchers to study a smaller, more manageable group, making the investigation more practical in terms of time, cost, and resources. Step 2: - "Sampling is the act of choosing a smaller, more manageable subset of the objects or members of a population to include in an investigation". - "In disease investigation, the term sample is used in two different ways; as a synonym for specimen, as in blood sample, and in the statistical sense of a sub-collection or sub-set of units drawn from the population". - "In research, the sample is a selected subset of the study population". - "Sampling is the selection of a subset of the population of interest in a research study". - "The cost of studying an entire population to answer a specific question is usually prohibitive in terms of time, money and resources. Therefore, a subset of subjects representative of a given population must be selected; this is called sampling". Step 3: A sample is a subset of a population that is selected to represent the total population in a research study. It allows researchers to study a smaller, more manageable group, making the investigation more practical in terms of time, cost, and resources.
What is the meaning of Sample in research method?5 answersSample in research refers to the total number of individuals or objects that are included in a study to collect data and draw conclusions. It is an essential component of research methodology as it helps in generalizing the findings to a larger population. The sample size is determined based on various factors such as the research objectives, statistical considerations, and feasibility. A larger sample size generally provides more reliable results and increases the external validity of the study. In some studies, the sample may consist of patients with a specific disease or condition, which affects the generalizability of the findings to the broader population. The analysis of the sample is done using various methods, such as measuring changes in current flow between electrode pairs or recording the real-time process of sample crushing using a high-speed microscopic camera.
What is sampling in research?3 answersSampling in research refers to the process of selecting a subset of the population of interest for data collection purposes. It is a practical approach used when it is not possible to include the entire population in the study. Sampling allows for faster and more cost-effective data collection, as compared to attempting to reach every member of the population. There are different sampling techniques used in research, including probability sampling techniques such as simple random sampling, systematic random sampling, and stratified random sampling, as well as non-probability sampling techniques such as quota sampling, self-selection sampling, convenience sampling, snowball sampling, and purposive sampling. The selection of the study sample is crucial as it can shape the impact of the research on both practice and theory. It involves considering various factors and making informed decisions to ensure the validity and generalizability of the research findings. Proper sampling design is essential for accurate inference and generalization to the population of interest, and it involves considerations such as response rate, margin of error, sample weighting, and adjustment.

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