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Related Concept Videos

Reason and Intuition01:37

Reason and Intuition

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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...
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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):
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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.
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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.
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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.
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Decision Making01:20

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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.
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Related Experiment Video

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Accurate data: the basis of decision

J Merchant, M A Mateo

    Gastroenterology Nursing : the Official Journal of the Society of Gastroenterology Nurses and Associates
    |February 1, 1993
    PubMed
    Summary

    This guide explains how nurses can collect, manage, and communicate data effectively for practice and clinical nursing research, ensuring accurate findings.

    Area of Science:

    • Nursing Science
    • Data Management
    • Research Methodology

    Background:

    • Accurate data is crucial for evidence-based nursing practice and research.
    • Nurses require structured approaches to data handling.
    • Effective data utilization impacts patient care and clinical outcomes.

    Purpose of the Study:

    • To provide an overview of processes for obtaining accurate data in nursing.
    • To guide nurses in data collection, management, and communication.
    • To support the development and evaluation of data in clinical nursing research.

    Main Methods:

    • Overview of data collection strategies.
    • Principles of data management.
    • Methods for communicating research findings.

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    Main Results:

    • Provides a framework for systematic data handling.
    • Offers practical information for nurses.
    • Facilitates the use of data in practice and research.

    Conclusions:

    • Implementing these data processes enhances the reliability of nursing research.
    • Effective data management improves the application of findings in clinical practice.
    • This overview assists nurses in becoming proficient data users and evaluators.