Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Ranks01:02

Ranks

351
Unlike parametric methods, nonparametric statistics are ideal for nominal and ordinal data, requiring fewer assumptions about the population's nature or distribution. This makes nonparametric methods easier to apply and interpret, as they do not depend on parameters like mean or standard deviation. One common approach in nonparametric analysis is to sort data according to a specific criterion. For instance, we might arrange weather data from hottest to coldest days in a month or rank cities...
351
Multiple Allele Traits01:49

Multiple Allele Traits

37.0K
The Concept of Multiple Allelism
37.0K
Friedman Two-way Analysis of Variance by Ranks01:21

Friedman Two-way Analysis of Variance by Ranks

387
Friedman's Two-Way Analysis of Variance by Ranks is a nonparametric test designed to identify differences across multiple test attempts when traditional assumptions of normality and equal variances do not apply. Unlike conventional ANOVA, which requires normally distributed data with equal variances, Friedman's test is ideal for ordinal or non-normally distributed data, making it particularly useful for analyzing dependent samples, such as matched subjects over time or repeated measures...
387
Ordinal Level of Measurement00:55

Ordinal Level of Measurement

29.4K
The way a set of data is measured is called its level of measurement. Correct statistical procedures depend on a researcher being familiar with levels of measurement. For analysis, data are classified into four levels of measurement—nominal, ordinal, interval, and ratio.
Data measured using an ordinal scale are similar to nominal scale data, but there is one major difference. The ordinal scale data can be ordered. An example of ordinal scale data is a list of the top five national parks...
29.4K
Multiple Bar Graph01:07

Multiple Bar Graph

8.6K
As the name suggests, a multiple bar graph is the same as a bar graph but has multiple bars to depict relationships between different data values. One can include as many parameters as possible. However, each parameter must have the same unit of measurement.
Each bar or column in the multiple bar graph represents a data value. These graphs are used primarily in interrelating two or more sets of data. The categories of different kinds of data are listed along the horizontal or x-axis, whereas...
8.6K
Multiple Comparison Tests01:13

Multiple Comparison Tests

4.3K
Multiple comparison test, abbreviated as MCT, is a post hoc analysis generally performed after comparing multiple samples with one or more tests. An MCT will help identify a significantly different sample among multiple samples or a factor among multiple factors.
It would be easy to compare two samples using a significance alpha level of 0.05. In other words, there is only one sample pair to be compared. However, it would be difficult to identify a significantly different sample if the number...
4.3K

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Bidirectional linkage of DNA barcodes for the multiplexed mapping of higher-order protein interactions in cells.

Nature biomedical engineering·2024
Same author

IF-City: Intelligible Fair City Planning to Measure, Explain and Mitigate Inequality.

IEEE transactions on visualization and computer graphics·2023
Same author

Redox Neutral Radical-Relay Nickel-Catalyzed Remote Carbonylation.

Organic letters·2023
Same author

Association between the triglyceride-glucose index and cognitive impairment in China: a community population-based cross-sectional study.

Nutritional neuroscience·2023
Same author

Characteristics and prognosis of rrDLBCL with TP53 mutations and a high-risk subgroup represented by the co-mutations of DDX3X-TP53.

Cancer medicine·2023
Same author

Combustion Activation Induced Solid-State Synthesis for N, B Co-Doped Carbon/Zinc Borate Anode with a Boosting of Sodium Storage Performance.

Advanced science (Weinheim, Baden-Wurttemberg, Germany)·2023

Related Experiment Video

Updated: Nov 26, 2025

A Psychophysics Paradigm for the Collection and Analysis of Similarity Judgments
08:12

A Psychophysics Paradigm for the Collection and Analysis of Similarity Judgments

Published on: March 1, 2022

2.8K

Imma Sort by Two or More Attributes With Interpretable Monotonic Multi-Attribute Sorting.

Yan Lyu, Fan Gao, I-Shuen Wu

    IEEE Transactions on Visualization and Computer Graphics
    |December 9, 2020
    PubMed
    Summary

    Imma Sort enhances multi-attribute sorting by improving human predictability and interpretability. This method balances monotonicity in the primary attribute to make other attributes easier to understand.

    More Related Videos

    A Visual Guide to Sorting Electrophysiological Recordings Using 'SpikeSorter'
    10:31

    A Visual Guide to Sorting Electrophysiological Recordings Using 'SpikeSorter'

    Published on: February 10, 2017

    11.4K
    A Two-interval Forced-choice Task for Multisensory Comparisons
    07:13

    A Two-interval Forced-choice Task for Multisensory Comparisons

    Published on: November 9, 2018

    11.3K

    Related Experiment Videos

    Last Updated: Nov 26, 2025

    A Psychophysics Paradigm for the Collection and Analysis of Similarity Judgments
    08:12

    A Psychophysics Paradigm for the Collection and Analysis of Similarity Judgments

    Published on: March 1, 2022

    2.8K
    A Visual Guide to Sorting Electrophysiological Recordings Using 'SpikeSorter'
    10:31

    A Visual Guide to Sorting Electrophysiological Recordings Using 'SpikeSorter'

    Published on: February 10, 2017

    11.4K
    A Two-interval Forced-choice Task for Multisensory Comparisons
    07:13

    A Two-interval Forced-choice Task for Multisensory Comparisons

    Published on: November 9, 2018

    11.3K

    Area of Science:

    • Human-Computer Interaction
    • Data Visualization
    • Cognitive Science

    Background:

    • Choice problems with multiple attributes are mentally challenging due to unsorted secondary attributes.
    • Perceiving monotonic trends across attributes is crucial for interpreting sorted results and predicting future item values.

    Purpose of the Study:

    • To develop a method for sorting items by multiple attributes simultaneously, enhancing interpretability and user predictability.
    • To extend existing ranking models to tune monotonic trends across multiple attributes.

    Main Methods:

    • Introduced Imma Sort, an extension of a ranking principal curve model, to trade-off monotonicity in the primary attribute for improved predictability in others.
    • Characterized Imma Sort's performance based on attribute correlations, preferences, list lengths, and number of attributes.
    • Developed ImmaAnchor and ImmaCenter to enhance learnability and search efficiency with conflicting attributes.

    Main Results:

    • Imma Sort significantly improves the interpretability and user satisfaction when sorting by two or more attributes.
    • Evaluated learnability, usability, interpretability, and user performance in prediction and search tasks, demonstrating practical benefits.
    • Showcased usage scenarios in two distinct applications, highlighting real-world applicability.

    Conclusions:

    • Imma Sort offers a viable solution for complex multi-attribute sorting tasks, improving user understanding and task efficiency.
    • The findings suggest guidelines for deploying Imma Sort in real-world applications where multi-attribute interpretability is critical.