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Related Concept Videos

Decision Making01:20

Decision Making

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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...
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Decision Making: Traditional Method01:14

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

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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...
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Heuristics01:21

Heuristics

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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...
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The Anchoring-and-Adjustment Heuristic01:25

The Anchoring-and-Adjustment Heuristic

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In order to make good decisions, we use our knowledge and our reasoning. Often, this knowledge and reasoning is sound and solid. However, sometimes, we are swayed by biases or by others manipulating a situation. For example, let’s say you and three friends wanted to rent a house and had a combined target budget of $1,600. The realtor shows you only very run-down houses for $1,600 and then shows you a very nice house for $2,000. Might you ask each person to pay more in rent to get the...
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Halo Effect01:27

Halo Effect

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The halo effect is a cognitive bias in which an individual's overall impression influences judgments about their specific traits. This psychological phenomenon leads people to associate positive characteristics with those they perceive as generally good and negative characteristics with those they view as bad. This effect is particularly influential in social perception, professional evaluations, and decision-making processes.The Psychological Basis of the Halo EffectThe halo effect is rooted...
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Related Experiment Video

Updated: Dec 28, 2025

An Automated T-maze Based Apparatus and Protocol for Analyzing Delay- and Effort-based Decision Making in Free Moving Rodents
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A Tutorial on Mechanical Decision-Making for Personnel and Educational Selection.

Rob R Meijer1, Marvin Neumann1, Bas T Hemker2

  • 1Department of Psychometrics and Statistics, Faculty of Behavioral and Social Sciences, University of Groningen, Groningen, Netherlands.

Frontiers in Psychology
|February 11, 2020
PubMed
Summary
This summary is machine-generated.

Mechanical judgment consistently outperforms holistic judgment in selection processes. This study enhances the accessibility of mechanical decision-making procedures for wider practical and policy adoption.

Keywords:
clinical predictiondecision-makingeducational selectionmechanical predictionpersonnel selectionprediction

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Area of Science:

  • Decision Science
  • Psychological Measurement
  • Organizational Psychology

Background:

  • Optimal information combination is crucial for effective decision-making.
  • Research indicates mechanical judgment often surpasses holistic judgment in personnel and educational selection.
  • Despite evidence, mechanical combination is underutilized by practitioners and policymakers.

Purpose of the Study:

  • To increase the accessibility of mechanical judgment prediction procedures.
  • To detail the workings of mechanical combination methods.
  • To illustrate these procedures with practical examples.

Main Methods:

  • Detailed explanation of mechanical combination algorithms.
  • Illustrative case studies of mechanical decision-making.
  • Discussion of the limitations and scope of mechanical judgment.

Main Results:

  • Mechanical combination procedures are clearly explained and exemplified.
  • The study highlights the potential for improved selection accuracy through mechanical methods.
  • Limitations of mechanical decision-making are addressed to ensure realistic application.

Conclusions:

  • Enhanced accessibility of mechanical judgment procedures can bridge the gap between research and practice.
  • Increased adoption of mechanical decision-making can lead to more objective and effective selection outcomes.
  • Understanding the limitations is key to the responsible implementation of mechanical judgment.