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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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Review and Preview01:13

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Data are individual items of information obtained from a population or sample. Data may be classified as qualitative (categorical), quantitative continuous, or quantitative discrete. Because it is not practical to measure the entire population in a study, researchers use samples to represent the population. A random sample is a representative group from the population chosen by using a method that gives each individual in the population an equal chance of being included in the sample. Random...
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Levels of Use of a GIS01:29

Levels of Use of a GIS

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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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Bar Graph01:07

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A bar graph is also called a bar chart and consists of bars that are separated from each other. It either uses horizontal or vertical bars to show comparisons among categories. The bars can be rectangles, or they can be rectangular boxes (used in three-dimensional plots). One axis of the graph represents the specific categories being compared, and the other axis shows a discrete value. In this graph, the length of the bar for each category is proportional to the number or percent of individuals...
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Manipulation and Analysis01:21

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GIS manipulation and analysis functions are vital for decision-making and planning. These activities range from data retrieval tasks, such as selecting information based on specific criteria, to advanced analytical techniques that address complex spatial problems.One critical GIS analysis method is overlaying, which combines multiple data layers to examine impacts. For example, overlaying a river-dammed lake boundary with road networks can identify affected infrastructure. Another common...
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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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Facilitating the Analysis of Immunological Data with Visual Analytic Techniques
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Democratizing Access to Community-Based Survey Findings Through Dynamic Data Visualizations.

Kiffer G Card1,2,3, Justin Sorge4, Ben Klassen4

  • 1Community Based Research Centre Society, Vancouver, BC, Canada. kiffercard@uvic.ca.

Archives of Sexual Behavior
|September 10, 2020
PubMed
Summary
This summary is machine-generated.

OurStats, a data visualization tool for gay and bisexual men's health data, is highly feasible and accepted by community partners. Improved support and documentation can enhance its usability and impact.

Keywords:
Community-based researchData visualizationKnowledge translationOurStatsSexual Orientation

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Area of Science:

  • Public Health Surveillance
  • Data Visualization
  • Community-Based Research

Background:

  • The Sex Now surveys represent Canada's largest community-based study on gay and bisexual men's health.
  • Access to this data has been limited, hindering its use in program evaluation and research.

Purpose of the Study:

  • To evaluate the OurStats data visualization dashboard developed by the Community-Based Research Centre (CBRC).
  • To assess the usability, acceptability, and utility of OurStats for community partners.

Main Methods:

  • An online survey was distributed to community partners via the CBRC and Advance Alliance.
  • The evaluation focused on user experience, perceived value compared to traditional outputs, and intended use cases.

Main Results:

  • 350 unique visitors used OurStats in its initial launch period (November-December 2019).
  • All respondents indicated they would likely use and recommend OurStats.
  • Respondents found OurStats superior to traditional academic and knowledge translation outputs for specific applications.
  • Key requested improvement: enhanced help documentation for display settings.

Conclusions:

  • Dynamic data visualizations are a feasible and acceptable method for disseminating community-based survey data.
  • Providing adequate support and documentation is crucial for maximizing the utility of such tools for community partners.