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Related Concept Videos

Data Collection by Survey01:07

Data Collection by Survey

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...
Surveys02:16

Surveys

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.
Types of Surveys01:27

Types of Surveys

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...
Stratified Sampling Method01:16

Stratified Sampling Method

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.
To choose a stratified sample, divide the population into groups called strata and then take a...
Statistical Analysis System (SAS)01:14

Statistical Analysis System (SAS)

SAS, short for Statistical Analysis System, is a powerful data analysis, management, and visualization tool. Developed by the SAS Institute in the early 1970s, SAS has evolved into a comprehensive software suite used across various industries for statistical analysis, business intelligence, and predictive modeling.
Applications: SAS finds applications in numerous fields, including healthcare for clinical trial analysis, finance for risk assessment, marketing for customer data analysis, and...
Decision Making: Traditional Method01:14

Decision Making: Traditional Method

The process of hypothesis testing based on the traditional method includes calculating the critical value, testing the value of the test statistic using the sample data, and interpreting these values.
First, a specific claim about the population parameter is decided based on the research question and is stated in a simple form. Further, an opposing statement to this claim is also stated. These statements can act as null and alternative hypotheses, out of which a null hypothesis would be a...

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Related Experiment Video

Updated: May 7, 2026

Qualitative and Quantitative Validation of Tools with Rating Scales Aimed at Assessing the Quality of University Service-Learning
10:39

Qualitative and Quantitative Validation of Tools with Rating Scales Aimed at Assessing the Quality of University Service-Learning

Published on: August 29, 2025

Social voting advice applications-definitions, challenges, datasets and evaluation.

Ioannis Katakis, Nicolas Tsapatsoulis, Fernando Mendez

    IEEE Transactions on Cybernetics
    |September 24, 2013
    PubMed
    Summary
    This summary is machine-generated.

    Social voting advice applications (SVAAs) enhance traditional tools by adding community features and enabling users to compare political opinions. These SVAAs also function as citizen sensors, gauging public sentiment during elections.

    Related Experiment Videos

    Last Updated: May 7, 2026

    Qualitative and Quantitative Validation of Tools with Rating Scales Aimed at Assessing the Quality of University Service-Learning
    10:39

    Qualitative and Quantitative Validation of Tools with Rating Scales Aimed at Assessing the Quality of University Service-Learning

    Published on: August 29, 2025

    Area of Science:

    • Political Science
    • Computer Science
    • Human-Computer Interaction

    Background:

    • Voting advice applications (VAAs) are popular online tools designed to assist voters in election decisions.
    • Current VAAs lack social interaction and community-based features, limiting user engagement and data insights.
    • The need for enhanced tools that can capture electorate sentiment and facilitate informed voting is growing.

    Purpose of the Study:

    • To introduce and evaluate a novel type of online tool: the social voting advice application (SVAA).
    • To demonstrate how SVAAs can integrate community-based recommendations, opinion comparison, and communication channels.
    • To explore the potential of SVAAs as citizen sensors for monitoring public sentiment.

    Main Methods:

    • Development of the social voting advice application (SVAA) concept, extending traditional VAAs with social network elements.
    • Integration of data mining modules within SVAAs to enable sentiment analysis and electorate monitoring.
    • Empirical evaluation using datasets from VAAs, including the Choose4Greece application during the 2012 Greek national elections.

    Main Results:

    • The study successfully demonstrated the functionality of SVAAs in providing community-based features and acting as citizen sensors.
    • Evaluation confirmed the effectiveness of the proposed SVAA techniques on real-world election data.
    • The research provides a publicly available dataset to foster further investigation in the field of SVAAs.

    Conclusions:

    • Social voting advice applications represent a significant innovation in online political engagement tools.
    • SVAAs offer a dual benefit: empowering voters with community insights and providing valuable data on public opinion.
    • The developed framework and dataset encourage continued research and development in social voting technologies.