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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...

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Related Experiment Video

Updated: Jul 12, 2026

Multimodal Protocol for Assessing Metacognition and Self-Regulation in Adults with Learning Difficulties
12:55

Multimodal Protocol for Assessing Metacognition and Self-Regulation in Adults with Learning Difficulties

Published on: September 27, 2020

The DECISION Study: Protocol for the Development and Internal Validation of a Multimodal Decision-Making Capacity

Carolin I Kurz1, Paulina Tegethoff2, Johanna Gelz2

  • 1Department of Psychiatry and Psychotherapy, LMU Hospital, LMU Munich, Munich, Germany; Technical University of Munich, TUM School of Medicine and Health, Department of Psychiatry and Psychotherapy, TUM University Hospital, Munich, Germany.

Journal of Clinical Epidemiology
|July 10, 2026
PubMed
Summary
This summary is machine-generated.

This study introduces a structured framework to assess decision-making capacity (DMC) in individuals with neurocognitive disorders, improving objective evaluation for informed consent and research. The new method enhances standardization and reliability for cognitively impaired populations.

Keywords:
Capacity assessmentCognitive dysfunctionDecision-making capacityInformed consentNeurocognitive disordersNeuropsychological assessmentPatient autonomy

Related Experiment Videos

Last Updated: Jul 12, 2026

Multimodal Protocol for Assessing Metacognition and Self-Regulation in Adults with Learning Difficulties
12:55

Multimodal Protocol for Assessing Metacognition and Self-Regulation in Adults with Learning Difficulties

Published on: September 27, 2020

Area of Science:

  • Neuroscience
  • Clinical Psychology
  • Medical Ethics

Background:

  • Decision-making capacity (DMC) assessment for neurocognitive disorders lacks standardization and is often subjective.
  • Current instruments are resource-intensive and not adapted for real-world or stage-specific applications.

Purpose of the Study:

  • To develop and internally validate a structured, multimodal framework for assessing DMC across the Alzheimer's disease continuum.
  • To operationalize core DMC domains: understanding, appreciation, reasoning, and expression of choice.

Main Methods:

  • A modular framework integrating neuropsychological profiling, informant measures, and decision scenarios.
  • Internal validation against MacCAT-T, with CDR for disease characterization.
  • Co-design approach with patients, caregivers, clinicians, and experts.

Main Results:

  • The framework provides standardized scoring and quantifiable outputs for DMC assessment.
  • Evidence generated on feasibility, reliability, and criterion validity of the multimodal approach.
  • Exploratory analyses examine associations between DMC and neurodegenerative disease markers.

Conclusions:

  • The developed framework supports transparent and quantifiable capacity assessment within the German legal context.
  • It integrates cognitive, functional, and contextual dimensions for cognitively impaired populations.
  • Potential to inform future research and ethically robust consent procedures after external validation.