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Related Concept Videos

Decision Making

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: P-value Method

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...

Decision Making: Traditional Method

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...

Reason and Intuition

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...

Factorial Design

Factorial Design

Factorial Analysis is an experimental design that applies Analysis of Variance (ANOVA) statistical procedures to examine a change in a dependent variable due to more than one independent variable, also known as factors. Changes in worker productivity can be reasoned, for example, to be influenced by salary and other conditions, such as skill level. One way to test this hypothesis is by categorizing salary into three levels (low, moderate, and high) and skills sets into two levels (entry level...

Frustration and Conflict: Approach-Approach, Approach-Avoidance

Frustration and Conflict: Approach-Approach, Approach-Avoidance

Frustration occurs when people are obstructed or prevented from achieving a desired goal or fulfilling a perceived need. For example, when someone's input is ignored in a discussion, it can lead to feelings of frustration. Conflict, however, arises from opposing interests, goals, or actions. Conflicts can take various forms based on the nature of these opposing desires or goals.
One common type of conflict is the Approach–Approach Conflict. In this case, a person faces two desirable options,...

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Related Experiment Video

Updated: Jun 12, 2026

The Adventures of Fundi Intervention Based on the Cognitive and Emotional Processing in Attention Deficit Hyperactive Disorder Patients

The Adventures of Fundi Intervention Based on the Cognitive and Emotional Processing in Attention Deficit Hyperactive Disorder Patients

Published on: June 12, 2020

A concept analysis of decisional involvement.

Syndi A Kowalik¹, Linda H Yoder

¹The University of Texas at Austin School of Nursing, Buda, TX 78610, USA. happytrails@austin.rr.com

Nursing Administration Quarterly

|June 22, 2010

Summary

This study analyzes "decisional involvement" for nurses in shared governance. Understanding this concept is crucial for nurses to participate effectively in healthcare decisions impacting their practice.

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Last Updated: Jun 12, 2026

The Adventures of Fundi Intervention Based on the Cognitive and Emotional Processing in Attention Deficit Hyperactive Disorder Patients

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Published on: June 12, 2020

Exploring the Role of Deontic Reasoning and World Knowledge in Wason´s Selection Task

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Published on: July 22, 2025

Area of Science:

Nursing
Healthcare Management
Organizational Behavior

Background:

Nurses operate in complex healthcare settings.
Shared governance models emphasize nurse participation in decision-making.
Understanding decisional involvement is vital for effective nursing practice.

Purpose of the Study:

To examine the phenomenon of "decisional involvement" in nursing.
To clarify the concept's attributes, antecedents, and consequences.
To provide a foundation for understanding nurse participation in healthcare decisions.

Main Methods:

Concept analysis using Walker and Avant's framework.
Identification of defining attributes, antecedents, and consequences.
Exploration of model cases and empirical referents.

Main Results:

Decisional involvement is a critical concept for nurses.
Analysis clarifies the multifaceted nature of nurse participation in decision-making.
Establishes a clear understanding of the concept's boundaries and applications.

Conclusions:

Clarifying "decisional involvement" enhances nurses' ability to engage in shared governance.
This concept analysis provides a theoretical basis for nursing practice and research.
Promotes informed participation of nurses in decisions affecting their work environment and patient care.