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

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...
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...
Decision Making: P-value Method01:09

Decision Making: P-value Method

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 have a...
Problem-Solving01:29

Problem-Solving

Effective problem-solving consists of two steps: 1. identifying the problem and 2. selecting the appropriate problem-solving strategy (i.e., a plan of action used to find a solution). Humans use four problem-solving strategies:
Heuristics01:21

Heuristics

Heuristics are problem-solving strategies that use mental shortcuts to simplify decision-making. Unlike algorithms, which must be followed precisely to achieve a correct result, heuristics offer a general problem-solving framework. They save time and energy but can sometimes lead to less rational decisions.
People often rely on heuristics when faced with an overload of information, limited time, low importance of the decision, limited information, or when a heuristic readily comes to mind. For...
Classification of Systems-I01:26

Classification of Systems-I

Linearity is a system property characterized by a direct input-output relationship, combining homogeneity and additivity.
Homogeneity dictates that if an input x(t) is multiplied by a constant c, the output y(t) is multiplied by the same constant. Mathematically, this is expressed as:

You might also read

Related Articles

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

Sort by
Same author

The association between videoconference fatigue and psychophysical strain over time: Are age and remote work risk factors?

Acta psychologica·2025
Same author

Measuring the semantic priming effect across many languages.

Nature human behaviour·2025
Same author

Crowdsourcing multiverse analyses to explore the impact of different data-processing and analysis decisions: A tutorial.

Psychological methods·2025
Same author

Commonly observed sex differences in direct aggression are absent or reversed in sibling contexts.

PNAS nexus·2025
Same author

Supervisor support and virtual leadership moderate the association between technostress creators and strain in remote work: Evidence based on hair cortisol and occupational physician's hetero-evaluations.

PloS one·2025
Same author

Do patients prefer a human doctor, artificial intelligence, or a blend, and is this preference dependent on medical discipline? Empirical evidence and implications for medical practice.

Frontiers in psychology·2024
Same journal

Planned missingness in intensive longitudinal studies: Extensions and comparisons of multiform designs.

Behavior research methods·2026
Same journal

A validity-guided workflow for robust large language model research in psychology.

Behavior research methods·2026
Same journal

Are 7-point Likert scales preferable to 5-point scales in language research?

Behavior research methods·2026
Same journal

Generative psychometrics via AI-GENIE: Automatic item generation and validation with network-integrated evaluation.

Behavior research methods·2026
Same journal

Exploring psychological tradeoffs: Developing and demonstrating an R Shiny app for Pareto optimization.

Behavior research methods·2026
Same journal

The performance of Bayesian fit measures in detecting misspecified multilevel structural equation modeling.

Behavior research methods·2026
See all related articles

Related Experiment Video

Updated: Jul 2, 2026

Selecting Multiple Biomarker Subsets with Similarly Effective Binary Classification Performances
07:35

Selecting Multiple Biomarker Subsets with Similarly Effective Binary Classification Performances

Published on: October 11, 2018

Identifying decision strategies: a process- and outcome-based classification method.

René Riedl1, Eduard Brandstätter, Friedrich Roithmayr

  • 1Department of Business Informatics - Information Engineering, Johannes Kepler University of Linz, Linz, Austria. rene.riedl@jku.at

Behavior Research Methods
|August 14, 2008
PubMed
Summary
This summary is machine-generated.

This study introduces a new method to identify decision strategies in non-risky choices. The approach helps understand how people make complex decisions, aiding in designing better decision support systems.

Related Experiment Videos

Last Updated: Jul 2, 2026

Selecting Multiple Biomarker Subsets with Similarly Effective Binary Classification Performances
07:35

Selecting Multiple Biomarker Subsets with Similarly Effective Binary Classification Performances

Published on: October 11, 2018

Area of Science:

  • Cognitive Psychology
  • Decision Science
  • Human-Computer Interaction

Background:

  • Understanding decision-making processes is crucial for various fields.
  • Existing methods for classifying decision strategies have limitations.

Purpose of the Study:

  • To present a novel classification method for identifying decision strategies in non-risky multiattribute decision tasks.
  • To enhance the understanding of cognitive processes in decision-making.

Main Methods:

  • A multimethod approach combining structural modeling and process tracing.
  • Classification of 13 decision strategies based on nine common characteristics.
  • Development of outcome-based and process-based metrics from six characteristics.

Main Results:

  • The proposed metrics, along with direction of search, can identify most of the 13 decision strategies.
  • Demonstrated the efficacy of the classification method in distinguishing between different strategies.
  • Validated the metrics and algorithm for practical application.

Conclusions:

  • The developed classification method offers a robust way to detect decision strategies.
  • The research has significant implications for designing advanced decision support systems, including online retail platforms.
  • Future work can explore the application of this method in diverse decision-making contexts.