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Related Concept Videos

Data Collection by Survey01:07

Data Collection by Survey

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The systematic method of obtaining and analyzing accurate information of a population is called data collection. A survey is a standard method of data collection that involves collecting information from a target human population about their experience, opinion, or knowledge of a product, service, or process. The responses are recorded and interpreted. The most common survey examples are written questionnaires, face-to-face or telephonic conversations, focus groups, and electronic (e-mail or...
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A Geographic Information System (GIS) combines specialized software and hardware to effectively manage, analyze, and present spatial and related data. GIS software includes critical functionalities such as a user interface for easy navigation, database management tools for handling spatial and attribute data, and data retrieval features for efficient access. Analytical tools transform raw data into insights, while display functions produce maps and reports in various formats for effective...
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Types of Surveys01:27

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Surveys are essential for marking property boundaries near water bodies. Different types of surveys are defined, each with its own function. Land surveys mark the property boundaries, while route surveys determine the position of properties on nearby highways. Topographic surveys create maps by capturing the three-dimensional features of the land. Hydrographic surveys focus on the shapes of underwater areas and the movement of streams through the properties. Mine surveys determine the relative...
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Surveys02:16

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Often, psychologists develop surveys as a means of gathering data. Surveys are lists of questions to be answered by research participants, and can be delivered as paper-and-pencil questionnaires, administered electronically, or conducted verbally. Generally, the survey itself can be completed in a short time, and the ease of administering a survey makes it easy to collect data from a large number of people.
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Sampling is a technique to select a portion (or subset) of the larger population and study that portion (the sample) to gain information about the population. The sampling method ensures that samples are drawn without bias and accurately represent the population. Because measuring the entire population in a study is not practical, researchers use samples to represent the population of interest.
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Geographic Information Systems (GIS) operate across three levels of application, each representing an increasing degree of complexity: data management, analysis, and prediction. These levels reflect the expanding functionality and versatility of GIS technology in handling spatial data for diverse purposes.Data ManagementAt its foundational level, GIS serves as a tool for data management, enabling the input, storage, retrieval, and organization of spatial data. This level is often employed in...
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SDRQuerier: A Visual Querying Framework for Cross-National Survey Data Recycling.

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    Area of Science:

    • Social Sciences
    • Data Science
    • Survey Methodology

    Background:

    • Public opinion surveys are vital for comparative analysis of attitudes and behaviors.
    • Limitations in geographic and temporal coverage of global surveys hinder comprehensive knowledge.
    • Ex-post harmonization of survey datasets addresses scope limitations but presents data access challenges.

    Purpose of the Study:

    • To address challenges social scientists face when using harmonized survey data portals.
    • To introduce the SDRQuerier tool developed by the Survey Data Recycling (SDR) project.
    • To enhance data exploration, identification, and theoretical model evaluation using harmonized survey data.

    Main Methods:

    • Development of the SDRQuerier, a tool applied to the harmonized SDR database.
    • Implementation of a BERT-based model for customized data queries (Query-by-Question).
    • Inclusion of a visual design for data availability assessment (Query-by-Condition) and relational pattern analysis (Query-by-Relation).

    Main Results:

    • The SDRQuerier facilitates in-depth data exploration and customized querying.
    • It improves the identification of related data for specific research questions.
    • The tool aids in evaluating and refining theoretical models using sliced data.

    Conclusions:

    • The SDRQuerier effectively addresses practical challenges faced by social scientists using harmonized survey data.
    • It enhances the utility of large-scale, harmonized survey datasets for comparative research.
    • The tool demonstrates significant usefulness and effectiveness in social science research workflows.