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 Making: P-value Method01:09

Decision Making: P-value Method

5.3K
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...
5.3K
Decision Making: Traditional Method01:14

Decision Making: Traditional Method

4.0K
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...
4.0K
Cognitive Dissonance01:38

Cognitive Dissonance

32.6K
Social psychologists have documented that feeling good about ourselves and maintaining positive self-esteem is a powerful motivator of human behavior (Tavris & Aronson, 2008). In the United States, members of the predominant culture typically think very highly of themselves and view themselves as good people who are above average on many desirable traits (Ehrlinger, Gilovich, & Ross, 2005). Often, our behavior, attitudes, and beliefs are affected when we experience a threat to our...
32.6K
Reason and Intuition01:37

Reason and Intuition

6.4K
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...
6.4K
Framing Effects03:26

Framing Effects

7.3K
Information is everywhere and its presentation—such as how and when items are presented—can impact our perceptions and decisions surrounding the info. This broad concept umbrellas framing effects—influences that occur due to the way information is framed in its appearance, whether it’s purely the order or the specific wording of a message. Let’s take a look at numerous ways in which two versions of something can objectively say the same thing, yet we respond in...
7.3K
Factorial Design02:01

Factorial Design

13.0K
Factorial Analysis is an experimental design that applies Analysis of Variance (ANOVA) statistical procedures to examine a change in a dependent variable due to more than one independent variable, also known as factors. Changes in worker productivity can be reasoned, for example, to be influenced by salary and other conditions, such as skill level. One way to test this hypothesis is by categorizing salary into three levels (low, moderate, and high) and skills sets into two levels (entry level...
13.0K

You might also read

Related Articles

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

Sort by
Same author

Understanding Clinicians' Perspectives on End-of-Life Dreams and Visions: An International Survey.

Journal of palliative medicine·2026
Same author

Positive Bias in Value-Based Decision Making: Neurocognitive Associations with Resilience.

The Journal of neuroscience : the official journal of the Society for Neuroscience·2026
Same author

An illustrative guide to expressing cognitive theories using evidence accumulation modelling.

Behavior research methods·2026
Same author

Joint Cognitive Models Reveal Sources of Robust Individual Differences in Conflict Processing.

Computational brain & behavior·2026
Same author

Investigating the effects of continuous theta-burst stimulation over the posterior parietal cortex on holistic processing of composite faces: evidence from cognitive modeling.

PloS one·2026
Same author

A theory of multiattribute search and choice.

Psychological review·2026
Same journal

Multi-brain neurofeedback: what are we training for?

Trends in cognitive sciences·2026
Same journal

The developing vocal self.

Trends in cognitive sciences·2026
Same journal

Searching beyond decrements: Attentional guidance across the adult lifespan.

Trends in cognitive sciences·2026
Same journal

Looking into working memory through micro eye movements.

Trends in cognitive sciences·2026
Same journal

Timescapes of non-human experience.

Trends in cognitive sciences·2026
Same journal

Building word meanings from memories and predictions.

Trends in cognitive sciences·2026
See all related articles

Related Experiment Video

Updated: Jun 17, 2025

Measuring the Subjective Value of Risky and Ambiguous Options using Experimental Economics and Functional MRI Methods
13:04

Measuring the Subjective Value of Risky and Ambiguous Options using Experimental Economics and Functional MRI Methods

Published on: September 19, 2012

12.1K

Beyond discrete-choice options.

Amir Hosein Hadian Rasanan1, Nathan J Evans2, Laura Fontanesi1

  • 1Department of Psychology, University of Basel, Missionsstrasse 62A, 4055, Basel, Switzerland.

Trends in Cognitive Sciences
|August 13, 2024
PubMed
Summary
This summary is machine-generated.

Decision theories are expanding beyond limited choices to continuous options. This review explores models for decisions in continuous spaces and future research directions.

More Related Videos

Three Laboratory Procedures for Assessing Different Manifestations of Impulsivity in Rats
09:12

Three Laboratory Procedures for Assessing Different Manifestations of Impulsivity in Rats

Published on: March 17, 2019

9.4K
Errors as a Means of Reducing Impulsive Food Choice
07:07

Errors as a Means of Reducing Impulsive Food Choice

Published on: June 5, 2016

8.6K

Related Experiment Videos

Last Updated: Jun 17, 2025

Measuring the Subjective Value of Risky and Ambiguous Options using Experimental Economics and Functional MRI Methods
13:04

Measuring the Subjective Value of Risky and Ambiguous Options using Experimental Economics and Functional MRI Methods

Published on: September 19, 2012

12.1K
Three Laboratory Procedures for Assessing Different Manifestations of Impulsivity in Rats
09:12

Three Laboratory Procedures for Assessing Different Manifestations of Impulsivity in Rats

Published on: March 17, 2019

9.4K
Errors as a Means of Reducing Impulsive Food Choice
07:07

Errors as a Means of Reducing Impulsive Food Choice

Published on: June 5, 2016

8.6K

Area of Science:

  • Cognitive Science
  • Decision Neuroscience
  • Computational Psychology

Background:

  • Traditional decision theories primarily address choices between discrete options.
  • Real-world scenarios frequently involve continuous decision-making spaces.
  • Recent advancements explore decision-making in continuous environments.

Purpose of the Study:

  • To review current theories and computational models of decisions in continuous-option spaces.
  • To provide an overview of the applications of continuous decision-making.
  • To identify open questions for future research in this domain.

Main Methods:

  • Review of existing literature on decision theories and computational modeling.
  • Analysis of sequential sampling models applied to continuous spaces.
  • Synthesis of applications across various fields.

Main Results:

  • Highlighting the shift from discrete to continuous decision models.
  • Summarizing computational approaches within the sequential sampling framework.
  • Identifying key challenges and unresolved issues.

Conclusions:

  • Understanding decisions in continuous spaces is crucial for real-world applications.
  • Further development of computational models is needed.
  • Future research should address identified puzzles and expand theoretical frameworks.