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NCERT Textbook - Collection of Data | Economics Class 11 - Commerce PDF Download
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FAQs on NCERT Textbook - Collection of Data - Economics Class 11 - Commerce
| 1. What is data collection? |  |
Ans. Data collection is the process of gathering and measuring information on variables of interest, in an established systematic way, which enables researchers to answer queries, test hypotheses, and evaluate outcomes. It involves collecting data from various sources and organizing it in a structured manner for analysis.
| 2. What are the different methods of data collection? | |
Ans. There are several methods of data collection, including surveys, interviews, observations, experiments, and secondary data collection. Surveys involve asking questions to a sample of individuals, interviews involve direct interactions with respondents, observations involve watching and recording behaviors, experiments involve manipulating variables to measure their effects, and secondary data collection involves using existing data collected by others.
| 3. Why is data collection important in research? | |
Ans. Data collection is crucial in research as it provides the information necessary to answer research questions and test hypotheses. It allows researchers to gather evidence, analyze patterns, and draw conclusions. Data collection also ensures the reliability and validity of research findings, as it involves systematic and accurate collection of data from various sources.
| 4. What are the challenges in data collection? | |
Ans. Data collection can pose several challenges, such as ensuring the representativeness of the sample, minimizing bias in responses, maintaining confidentiality and privacy, dealing with non-response or missing data, and managing the logistics of data collection. Researchers need to carefully design data collection methods and address these challenges to ensure the quality and integrity of the collected data.
| 5. How can data collection be improved? | |
Ans. Data collection can be improved by using appropriate sampling techniques to ensure representative samples, designing clear and unbiased survey questions, providing proper training to data collectors, using standardized measurement tools, conducting pilot studies to identify and address potential issues, and ensuring ethical considerations are followed. Additionally, leveraging technology and automation can streamline data collection processes and reduce errors.
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