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Related Concept Videos

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...
The Availability Heuristic01:08

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):
The Representativeness Heuristic02:13

The Representativeness Heuristic

The representative heuristic describes a biased way of thinking, in which you unintentionally stereotype someone or something. For example, you may assume that your professors spend their free time reading books and engaging in intellectual conversation, because the idea of them spending their time playing volleyball or visiting an amusement park does not fit in with your stereotypes of professors.
The Anchoring-and-Adjustment Heuristic01:25

The Anchoring-and-Adjustment Heuristic

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 $2,000...
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...
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...

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A Psychophysics Paradigm for the Collection and Analysis of Similarity Judgments
08:12

A Psychophysics Paradigm for the Collection and Analysis of Similarity Judgments

Published on: March 1, 2022

An introduction to Moustakas's heuristic method.

Gerard Kenny1

  • 1University of the West of England, Bristol UK. gerard.kenny@uwe.ac.uk

Nurse Researcher
|June 6, 2012
PubMed
Summary
This summary is machine-generated.

This paper introduces Moustakas's heuristic method for nursing research. It explores how heuristic inquiry fosters researcher transformation, enhancing appreciation and relevance for practice and research.

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Area of Science:

  • Nursing Research
  • Qualitative Inquiry
  • Heuristic Methodology

Background:

  • Heurism is a discovery-oriented approach across disciplines like computer science, mathematics, and philosophy.
  • It involves understanding the process of discovery preceding hypothesis formulation.

Purpose of the Study:

  • Introduce Moustakas's heuristic method to nursing researchers.
  • Identify core principles, processes, and structures of heuristic inquiry.
  • Explore the potential for personal transformation in researchers using this method.

Main Methods:

  • Critically review Moustakas's heuristic method.
  • Identify strengths of the heuristic approach.
  • Examine postmodern critiques and propose solutions.

Main Results:

  • Heuristic research questions can initiate researcher change.
  • Internal transformation deepens research appreciation and relevance.
  • Personal transformation impacts nursing practice and research.

Conclusions:

  • Nursing practice and research can utilize heuristic questions arising from experience.
  • Moustakas's method allows exploration of personal questions.
  • The personal nature of heuristic inquiry enriches care and research environments.