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

Decision Making01:20

Decision Making

391
Decision-making is a fundamental cognitive process that involves evaluating alternatives and selecting among them. This process can range from simple choices, such as deciding what to wear, to complex decisions, like choosing a major in college or a career path. The complexity of the decision often dictates the approach we use, which can be broadly categorized into two types: automatic and controlled decision-making.
Automatic decision-making is fast, intuitive, and relies on gut feelings...
391
Decision Making: Traditional Method01:14

Decision Making: Traditional Method

4.6K
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...
4.6K
Reason and Intuition01:37

Reason and Intuition

7.1K
The human brain processes information for decision-making using one of two routes: an intuitive system and a rational system (Epstein, 1994; popularized by Kahneman, 2011 as System 1 and System 2, respectively). The intuitive system is quick, impulsive, and operates with minimal effort, relying on emotions or habits to provide cues for what to do next, while the rational system is logical, analytical, deliberate, and methodical. Research in neuropsychology suggests that the...
7.1K
Decision Making: P-value Method01:09

Decision Making: P-value Method

6.1K
The process of hypothesis testing based on the P-value method includes calculating the P- value using the sample data and interpreting it.
First, a specific claim about the population parameter is proposed. The claim is based on the research question and is stated in a simple form. Further, an opposing statement to the claim  is also stated. These statements can act as null and alternative hypotheses:  a null hypothesis would be a neutral statement while the alternative hypothesis can...
6.1K
Quantitative Analysis01:12

Quantitative Analysis

828
Quantitative analysis is a technique for measuring the amount of specific constituents in a sample. When the sample's composition is unknown, qualitative analysis is performed first to identify its components, which ensures that the correct substances are measured during the quantitative phase.
In quantitative analysis, two key measurements are made: the sample quantity and a property proportional to the amount of the analyte (the substance being analyzed). This forms the basis of the...
828
How Data are Classified: Numerical Data00:59

How Data are Classified: Numerical Data

34.0K
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...
34.0K

You might also read

Related Articles

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

Sort by
Same author

A reciprocal model of practice and skill: Navigating between dropout and expertise.

Psychological review·2026
Same author

Adolescents' Strategies to Manage Mental Health Challenges In and After the Pandemic: Two Mixed-Methods Studies.

Research on child and adolescent psychopathology·2026
Same author

Investigating Neural Reward Sensitivity in the School Grade Incentive Delay Task and Its Relation to Academic Buoyancy.

Behavioral sciences (Basel, Switzerland)·2025
Same author

A longitudinal study investigating the association between social maturity, social preference and children's perceptions of their playfulness.

Scientific reports·2025
Same author

Make it worth it: Effort-reward modulations on reinforcement-learning and prediction-error signaling across adolescence.

Developmental cognitive neuroscience·2025
Same author

Interpretation of individual differences in computational neuroscience using a latent input approach.

Developmental cognitive neuroscience·2025
Same journal

Executive function and preschoolers' responses to severe transgressions: implications for early forgiveness.

Journal of experimental child psychology·2026
Same journal

Shared cognitive risk factors underlying rapid automatized naming deficits for the comorbidity of developmental dyslexia and attention deficit hyperactivity disorder: A computational parameter estimation via Bundesen's theory of visual attention.

Journal of experimental child psychology·2026
Same journal

Do young children understand the objectivity of reality?

Journal of experimental child psychology·2026
Same journal

Learning words by ear or by eye: effects of modality on lexical configuration and lexicalization.

Journal of experimental child psychology·2026
Same journal

Thinking outside the Box: Causal uncertainty motivates children's over-imitation.

Journal of experimental child psychology·2026
Same journal

Effects of parental intervention on children's English utterances and behavioral responses in video-based second language learning.

Journal of experimental child psychology·2026
See all related articles

Related Experiment Video

Updated: Nov 2, 2025

The Adventures of Fundi Intervention Based on the Cognitive and Emotional Processing in Attention Deficit Hyperactive Disorder Patients
05:48

The Adventures of Fundi Intervention Based on the Cognitive and Emotional Processing in Attention Deficit Hyperactive Disorder Patients

Published on: June 12, 2020

6.0K

Quantitative or qualitative development in decision making?

Hilde M Huizenga1, Jacqueline Zadelaar2, Brenda R J Jansen1

  • 1Department of Developmental Psychology, University of Amsterdam, 1001 NK Amsterdam, the Netherlands; Amsterdam Brain and Cognition Center, University of Amsterdam, 1001 NK Amsterdam, the Netherlands; Research Priority Area Yield, University of Amsterdam, 1018 WS Amsterdam, the Netherlands.

Journal of Experimental Child Psychology
|June 7, 2021
PubMed
Summary
This summary is machine-generated.

Developmental differences in decision-making are primarily quantitative, reflecting how much individuals consider potential gains. Age impacts this consideration in judgment tasks but not choice tasks.

Keywords:
Adaptive strategy selectionCumulatrive prospect theoryInformation integration theoryJudgement and choiceMIMIC analysisQuantitative vs qualitative developmentRisk return theoryStrategies and heuristics

More Related Videos

Watershed Planning within a Quantitative Scenario Analysis Framework
12:44

Watershed Planning within a Quantitative Scenario Analysis Framework

Published on: July 24, 2016

8.2K
Operant Protocols for Assessing the Cost-benefit Analysis During Reinforced Decision Making by Rodents
07:05

Operant Protocols for Assessing the Cost-benefit Analysis During Reinforced Decision Making by Rodents

Published on: September 10, 2018

6.2K

Related Experiment Videos

Last Updated: Nov 2, 2025

The Adventures of Fundi Intervention Based on the Cognitive and Emotional Processing in Attention Deficit Hyperactive Disorder Patients
05:48

The Adventures of Fundi Intervention Based on the Cognitive and Emotional Processing in Attention Deficit Hyperactive Disorder Patients

Published on: June 12, 2020

6.0K
Watershed Planning within a Quantitative Scenario Analysis Framework
12:44

Watershed Planning within a Quantitative Scenario Analysis Framework

Published on: July 24, 2016

8.2K
Operant Protocols for Assessing the Cost-benefit Analysis During Reinforced Decision Making by Rodents
07:05

Operant Protocols for Assessing the Cost-benefit Analysis During Reinforced Decision Making by Rodents

Published on: September 10, 2018

6.2K

Area of Science:

  • Developmental Psychology
  • Cognitive Science
  • Decision Science

Background:

  • A central debate in developmental sciences concerns whether developmental changes are quantitative (e.g., increased speed) or qualitative (e.g., altered processing).
  • Previous decision-making research often assumed differences were exclusively one or the other.
  • This study explored a nuanced approach to understanding developmental shifts in decision-making.

Purpose of the Study:

  • To investigate whether developmental differences in decision-making are best characterized as quantitative or qualitative.
  • To examine age-related changes in decision-making processes using a novel task.
  • To apply latent variable modeling to differentiate between quantitative and qualitative developmental trajectories.

Main Methods:

  • Administered judgment and choice versions of the Gambling Machine Task to adolescents (ages 9-18).
  • The task involved decisions between constant gains and probabilistic losses, with characteristics known a priori.
  • Analyzed data using multiple indicator multiple cause (MIMIC) models to compare quantitative and qualitative latent variable models.

Main Results:

  • Individual differences in both judgment and choice tasks were found to be quantitative.
  • These quantitative differences were primarily related to the "consideration of gains" – the extent to which decisions were influenced by potential gains.
  • Age significantly affected the consideration of gains in the judgment task, but not in the choice task.

Conclusions:

  • Developmental changes in decision-making, particularly regarding the consideration of gains, are largely quantitative.
  • The impact of age on decision-making processes differs between judgment and choice tasks.
  • The multiple indicator multiple cause (MIMIC) modeling approach offers a valuable framework for studying quantitative versus qualitative development across various cognitive domains.