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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...
Strategies for Assessing and Addressing Confounding01:25

Strategies for Assessing and Addressing Confounding

Confounding is a critical issue in epidemiological studies, often leading to misleading conclusions about associations between exposures and outcomes. It occurs when the relationship between the exposure and the outcome is mixed with the effects of other factors that influence the outcome. Given that, addressing confounding is of high importance for drawing accurate inferences in research.
Confounding can be addressed at both the design phase of a study and through analytical methods after data...
Reason and Intuition01:37

Reason and Intuition

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 brain can only use...
Ethical Dilemmas II01:30

Ethical Dilemmas II

Resolving an ethical dilemma in healthcare involves a systematic approach that considers every aspect of the issue, respecting both the patient's needs and values and the healthcare professional's ethical obligations. Here are potential steps to resolve an ethical dilemma:

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Related Experiment Video

Updated: May 16, 2026

Watershed Planning within a Quantitative Scenario Analysis Framework
12:44

Watershed Planning within a Quantitative Scenario Analysis Framework

Published on: July 24, 2016

A structured approach to incidental take decision making.

Conor P McGowan1

  • 1US Geological Survey, Alabama Cooperative Fish and Wildlife Research Unit, School of Forestry and Wildlife Sciences, Auburn University, Auburn, AL 36849, USA. cmcgowan@usgs.gov

Environmental Management
|November 27, 2012
PubMed
Summary

Structured decision making improves incidental take allowances for endangered species. This approach ensures transparent and repeatable decisions, even with uncertain data and competing objectives.

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Area of Science:

  • Conservation Biology
  • Environmental Law
  • Decision Analysis

Background:

  • Inconsistent processes for determining incidental take allowances for endangered species exist.
  • Incidental take is permitted harm to protected species if it doesn't jeopardize survival and recovery.
  • Structured decision making (SDM) offers a framework to enhance consistency and transparency.

Purpose of the Study:

  • To demonstrate the applicability of SDM to incidental take decisions.
  • To address challenges posed by demographic uncertainty and multiple objectives in conservation.
  • To provide a repeatable framework for evaluating management actions.

Main Methods:

  • Defined an example decision problem for incidental take.
  • Developed an objectives statement and a value function.
  • Employed a simulation model to assess management action consequences and tradeoffs.

Main Results:

  • The SDM approach was applied to a case study involving endangered species.
  • Simulation results allowed for the evaluation of various management strategies.
  • Tradeoffs among different management actions were explicitly assessed.

Conclusions:

  • SDM provides a structured and transparent method for incidental take decisions.
  • The approach is effective even with significant demographic uncertainty.
  • SDM facilitates repeatable and defensible conservation management decisions.