Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Heuristics

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...

Optimal Foraging

Optimal Foraging

How animals obtain and eat their food is called foraging behavior. Foraging can include searching for plants and hunting for prey and depends on the species and environment.

Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving

Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving

Mechanistic models play a crucial role in algorithms for numerical problem-solving, particularly in nonlinear mixed effects modeling (NMEM). These models aim to minimize specific objective functions by evaluating various parameter estimates, leading to the development of systematic algorithms. In some cases, linearization techniques approximate the model using linear equations.
In individual population analyses, different algorithms are employed, such as Cauchy's method, which uses a...

The Availability Heuristic

The Availability Heuristic

A heuristic is a general problem-solving framework (Tversky & Kahneman, 1974). You can think of these as mental shortcuts that are used to solve problems. Different types of heuristics are used in different types of situations, and the impulse to use a heuristic occurs when one of five conditions is met (Pratkanis, 1989):

Optimization Problems

Optimization Problems

Optimization problems often involve identifying maximum or minimum values under specific constraints. A well-known example is determining the longest horizontal pipe that can be moved around a right-angled corner, where a 3-meter-wide hallway meets a 2-meter-wide hallway. This scenario, common in architectural design and industrial transport, can be understood conceptually through geometric and trigonometric reasoning.To visualize the problem, consider the pipe as a straight line that touches...

Reinforcement Schedules

Reinforcement Schedules

Positive reinforcement is a powerful method for teaching new behaviors to both animals and humans. B.F. Skinner demonstrated this with his experiments using rats in a Skinner box. When a rat pressed a lever, it received a food pellet. This immediate reward encouraged the rat to repeat the behavior. This method, where a reward follows every instance of the behavior, is known as continuous reinforcement. It is highly effective for establishing new behaviors quickly.
Once a behavior is learned,...

You might also read

Related Articles

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

Sort by

Same author

Beyond the hype: A simulation study evaluating the predictive performance of machine learning models in psychology.

Psychological methods·2026

Same author

Exploring individual differences in volitional personality state and trait change: The role of motivation and engagement during a 12-week intervention.

European journal of personality·2026

Same author

Personality change through a digital-coaching intervention: Using measurement invariance testing to distinguish between trait domain, facet, and nuance change.

European journal of personality·2026

Same author

Does realizing strengths, insight, and behavioral practice through a psychological intervention promote personality change? An intensive longitudinal study.

European journal of personality·2026

Same author

Grandchild contact and grandparents' positive and negative emotions in daily life: an analysis using self-report and language use data.

The journals of gerontology. Series B, Psychological sciences and social sciences·2026

Same author

Grandparents' cognition and caregiving for grandchildren: Frequency, type, and variety of activities.

Psychology and aging·2026

Search research articles

Related Experiment Video

Updated: Mar 11, 2026

The Modular Design and Production of an Intelligent Robot Based on a Closed-Loop Control Strategy

The Modular Design and Production of an Intelligent Robot Based on a Closed-Loop Control Strategy

Published on: October 14, 2017

Meta-Heuristics in Short Scale Construction: Ant Colony Optimization and Genetic Algorithm.

Ulrich Schroeders¹, Oliver Wilhelm², Gabriel Olaru²

¹Department of Educational Science, University of Bamberg, Bamberg, Germany.

|November 29, 2016

Summary

Creating shorter scales for psychological and educational research is crucial. Metaheuristics like Ant Colony Optimization (ACO) and Genetic Algorithms (GA) offer superior psychometric quality compared to traditional methods.

More Related Videos

Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm

Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm

Published on: December 9, 2012

Related Experiment Videos

Last Updated: Mar 11, 2026

The Modular Design and Production of an Intelligent Robot Based on a Closed-Loop Control Strategy

The Modular Design and Production of an Intelligent Robot Based on a Closed-Loop Control Strategy

Published on: October 14, 2017

Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm

Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm

Published on: December 9, 2012

Area of Science:

Psychometrics
Educational Measurement
Sociological Research

Background:

Increased demand for psychometrically sound short scales in large-scale assessments.
Shortening scales saves time but risks inadequate measurement properties.
Potential issues include altered structure, reduced reliability, poor discrimination, and weaker criterion relations.

Purpose of the Study:

To compare the quality and efficiency of three item selection strategies for creating short scales.
To evaluate Stepwise COnfirmatory Factor Analytical approach (SCOFA), Ant Colony Optimization (ACO), and Genetic Algorithm (GA).

Main Methods:

Comparison of SCOFA, ACO (with tailored function), and GA (with unspecific function) for item selection.
Derivation of short scales from a longer existing measure using these strategies.

Main Results:

SCOFA-derived short scales demonstrated high reliability but poor validity.
Both ACO and GA outperformed SCOFA, yielding efficient, psychometrically sound short scales.
Metaheuristics produced unidimensional, reliable, sensitive, and valid measures.

Conclusions:

Metaheuristic approaches (ACO and GA) are superior for developing psychometrically sound short scales.
These methods ensure unidimensionality, reliability, sensitivity, and validity.
Recommendations provided for choosing between ACO and GA based on specific research conditions.