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

Relating Angular And Linear Quantities - I01:09

Relating Angular And Linear Quantities - I

7.0K
If the rotational definitions are compared with the definitions of linear kinematic variables from motion along a straight line and motion in two and three dimensions, we can observe a mapping of the linear variables to the rotational ones.
When comparing the linear and rotational variables individually, the linear variable of position has physical units of meters, whereas the angular position variable has dimensionless units of radians, as it is the ratio of two lengths. The linear velocity...
7.0K
Relating Angular And Linear Quantities - II01:05

Relating Angular And Linear Quantities - II

5.6K
In the case of circular motion, the linear tangential speed of a particle at a radius from the axis of rotation is related to the angular velocity by the relation:
5.6K
Ordinal Level of Measurement00:55

Ordinal Level of Measurement

24.2K
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...
24.2K
How Data are Classified: Numerical Data00:59

How Data are Classified: Numerical Data

27.3K
Data that are countable or measurable in specific units are called numerical or quantitative data. Quantitative data are always numbers. Quantitative data are the result of counting or measuring the attributes of a population. Amount of money, pulse rate, weight, number of people living in a town, and number of students who opt for statistics are examples of quantitative data.
Quantitative data may be either discrete or continuous. All quantitative data that take on only specific numerical...
27.3K
Introduction to Nonlinear Inequalities01:25

Introduction to Nonlinear Inequalities

328
Linear and nonlinear inequalities are fundamental for analyzing variable relationships and identifying ranges satisfying specific conditions. A linear inequality involves variables raised only to the first power, resulting in a straight-line graph. This line partitions the coordinate plane into two distinct regions: one that satisfies the inequality and one that does not. Each region represents a set of solutions where the linear relationship holds true under the specified constraint.Nonlinear...
328
Nominal Level of Measurement00:56

Nominal Level of Measurement

25.9K
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. Not every statistical operation can be used with every set of data. For analysis, data are classified into four levels of measurement—nominal, ordinal, interval, and ratio.
The data that cannot be measured but can be grouped into categories fall under the nominal level of measurement. Data that is measured using a nominal...
25.9K

You might also read

Related Articles

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

Sort by
Same author

The role of test procedure in linguistic integration studies.

Memory & cognition·2013
Same author

Recognition memory for deducible information.

Memory & cognition·2011
Same author

Logical processing of set inclusion relations in meaningful text.

Memory & cognition·2011
Same author

Elementary, my dear Wason: the role of problem representation in the THOG task.

Psychological research·2002
Same author

De-confusing the THOG problem: the Pythagorean solution.

The Quarterly journal of experimental psychology. A, Human experimental psychology·2001
Same author

A student-planned memorial service.

Academic medicine : journal of the Association of American Medical Colleges·1998
Same journal

The properties of personal semantics.

Memory & cognition·2026
Same journal

Music enhances associative generalization: Evidence from a memory integration task.

Memory & cognition·2026
Same journal

Video, text, and memory: An emotional verbal overshadowing effect.

Memory & cognition·2026
Same journal

Limited protective effects of multilingualism against age-related cognitive decline.

Memory & cognition·2026
Same journal

Validation of illustrated texts: Can pictures raise awareness of inconsistencies?

Memory & cognition·2026
Same journal

I remember (and forget) your happy smiling face: Directed forgetting of emotionally expressive faces of in-group and out-group members.

Memory & cognition·2026
See all related articles

Related Experiment Video

Updated: May 6, 2026

RBDT: A Computerized Task System based in Transposition for the Continuous Analysis of Relational Behavior Dynamics in Humans
11:09

RBDT: A Computerized Task System based in Transposition for the Continuous Analysis of Relational Behavior Dynamics in Humans

Published on: July 17, 2021

2.5K

Integrating verbal quantitative information in linear orderings.

R A Griggs1, S L Shea

  • 1Department of Psychology, University of Florida, 32611, Gainesville, Florida.

Memory & Cognition
|November 9, 2013
PubMed
Summary
This summary is machine-generated.

Vague verbal quantifiers like "moderately" influenced memory for linear orderings. Larger quantitative differences in ordering led to faster reaction times, showing integration of this information.

More Related Videos

Measuring Delay Discounting in Humans Using an Adjusting Amount Task
07:47

Measuring Delay Discounting in Humans Using an Adjusting Amount Task

Published on: January 9, 2016

15.1K
Working Memory Training for Older Participants: A Control Group Training Regimen and Initial Intellectual Functioning Assessment
07:01

Working Memory Training for Older Participants: A Control Group Training Regimen and Initial Intellectual Functioning Assessment

Published on: September 20, 2020

3.9K

Related Experiment Videos

Last Updated: May 6, 2026

RBDT: A Computerized Task System based in Transposition for the Continuous Analysis of Relational Behavior Dynamics in Humans
11:09

RBDT: A Computerized Task System based in Transposition for the Continuous Analysis of Relational Behavior Dynamics in Humans

Published on: July 17, 2021

2.5K
Measuring Delay Discounting in Humans Using an Adjusting Amount Task
07:47

Measuring Delay Discounting in Humans Using an Adjusting Amount Task

Published on: January 9, 2016

15.1K
Working Memory Training for Older Participants: A Control Group Training Regimen and Initial Intellectual Functioning Assessment
07:01

Working Memory Training for Older Participants: A Control Group Training Regimen and Initial Intellectual Functioning Assessment

Published on: September 20, 2020

3.9K

Area of Science:

  • Cognitive Psychology
  • Psycholinguistics
  • Memory Research

Background:

  • Understanding how humans represent and process abstract information is crucial.
  • Verbal quantifiers provide vague information that can be challenging to integrate into structured representations.
  • Previous research has explored the impact of quantitative information on decision-making and memory.

Purpose of the Study:

  • To investigate how vague verbal quantifiers affect the memory representation of linear orderings.
  • To determine if quantitative information conveyed by verbal quantifiers influences performance on ordinal tasks.
  • To examine the integration of quantitative and ordinal information in human memory.

Main Methods:

  • Participants learned four-term linear orderings presented in text.
  • Verbal quantifiers ('just barely,' 'moderately,' 'very much') were used to describe spacing along the ordering dimension.
  • Performance on ordinal judgments was assessed, with reaction times recorded.

Main Results:

  • Memory performance for ordinal information was dependent on the quantitative differences between terms.
  • Reaction times were significantly faster when there were large quantitative differences compared to small ones.
  • This suggests that participants integrated the vague quantitative information into their memory representations.

Conclusions:

  • Vague verbal quantitative information is effectively integrated into memory representations of linear orderings.
  • The degree of quantitative difference impacts cognitive processing, specifically reaction time in ordinal tasks.
  • This integration of quantitative information influences how individuals perform on related tasks, highlighting the nuanced nature of human memory and language processing.