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"A survey consists of a predetermined set of questions that is given to a sample." who cited this? 


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The statement "A survey consists of a predetermined set of questions that is given to a sample" was not directly cited in the provided contexts. However, the contexts collectively provide insights into survey sampling, emphasizing the importance of random selection methods, survey design principles, and the purpose of surveys in studying various aspects of society. Survey sampling involves selecting a part of the population for statistical inference, with the need for a stochastic background based on random selection procedures . Sample surveys are commonly used in educational and health research to investigate various topics, such as academic performance, societal views about education, and health issues in the community . The design of sample surveys aims to generalize results from a sample to a population of interest, highlighting the significance of methodological advances in survey studies .

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Related Questions

What is the meaning of survey and questionnaire?5 answersA survey is a method used to gather information from a sample of individuals to generalize results to a larger population. It is particularly useful when conducting a census of the entire population is impractical. On the other hand, a questionnaire is a specific tool within a survey that consists of a set of questions designed to collect data from respondents. Questionnaires can be self-administered or group-administered, and they play a crucial role in primary data collection for research purposes. The design of a questionnaire is essential to reduce errors and ensure the accuracy of the data gathered during a survey. Overall, surveys and questionnaires are valuable instruments in various fields, including business, healthcare, and research, aiding in decision-making and improving practices.
What are good examples of survey design research?4 answersGood examples of survey design research include studies focusing on various fields such as veterinary research, public health policy, earth sciences, evaluation studies, and population-based case-control studies. For instance, in veterinary research, the use of probability sampling and design-based approaches, along with elementary sampling methods like simple random sampling and stratified random sampling, can provide valuable insights into target populations like dairy cows or dogs. Similarly, in public health policy, surveys like the National Health and Nutrition Examination Survey employ complex sample designs to recruit participants, emphasizing the importance of considering key design features for valid statistical estimates. These examples showcase the diverse applications and methodologies employed in survey design research across different disciplines.
What is the definition and purpose of a survey in research methodology?5 answersA survey in research methodology is a structured method of scientific inquiry used to gather information from individuals to generalize findings to a larger population. Surveys are commonly employed in health sciences, social sciences, and autonomic computing research to measure attitudes, behaviors, public opinions, and progress in the field. The purpose of surveys is to provide evidence for decision-making, policy development, and understanding prevalent diseases and risk factors. Surveys help researchers address specific research questions by utilizing various scales of measurement based on the nature of observations, such as numerical, nominal, or ordinal. By ensuring methodological rigor, surveys aim to achieve external validity, cross-cultural equivalence, and readability of survey instruments, ultimately contributing to the advancement of knowledge in various disciplines.
How to sampling method in survey?5 answersSampling methods in surveys involve selecting a subset of individuals from a larger population to gather data. Different sampling techniques are used to ensure the representativeness and generalizability of the results. Probability sampling methods, such as random selection, are commonly used to increase precision and allow for generalization to the population of interest. Other types of data collection, such as social media embeddedness relationships, require sampling techniques due to the high cost and inefficiency of using population networks. Stratified sampling based on areas is one approach that can improve representativeness by avoiding sampling defects caused by a single reference condition. Sampling errors can occur at different scales, affecting the reliability and validity of the sample. Evaluating different sampling methods and their pros and cons is important for selecting an appropriate sampling design. The combination of different sampling techniques can also enhance the representation of the population.
What is a survey?4 answersA survey is a method of collecting information directly from people about specific characteristics or about behavior, activities, knowledge, beliefs, attitudes, or opinions. Surveys are commonly used in the social sciences, especially in sociology, and are often considered the primary research method in these fields. Surveys require clear objectives and specific data gathering procedures, and the results can provide knowledge about the current state of the world being surveyed. Surveys involve obtaining data from people through the use of questionnaires, and they can be used for social investigations. Surveys are not only a research tool but also a part of a person's life experience, as almost everyone has been surveyed at some point in their lives. A computer system can be used to create, conduct, and analyze surveys, allowing for customization, question cataloging, and report generation.
What is survey sampling?3 answersSurvey sampling is a method used to select a random sample of units from a larger population for the purpose of studying and estimating characteristics of the population. It involves observing concrete objects or facts that have happened, such as counting the number of residential buildings in a locality or the number of morning walkers in a park. Sample surveys are commonly used in educational research to investigate various topics, including academic performance, characteristics of educators, and societal views about education. National statistical agencies have used survey sampling to select large but tractable samples from the increasing volume of generated data, allowing for the control of statistical properties of estimators. Additionally, survey sampling can be applied in specific contexts, such as the invention of a survey sampling device for insects in a tea garden. This issue is devoted to survey sampling methods, continuing the tradition of Mathematical Population Studies.

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