Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Deviation from Ideal Behaviour01:23

Deviation from Ideal Behaviour

Real gases do not perfectly obey the ideal gas laws, especially at high pressures and low temperatures or when they are about to condense to a liquid. These deviations occur due to intermolecular forces between gas molecules. Repulsive forces aid expansion and are significant when molecules are very close together, typically at high pressure. Attractive forces assist compression and have a longer range, being effective over several molecular diameters. They become significant when molecules are...
What Are Outliers?01:12

What Are Outliers?

Outliers are observed data points that are far from the least squares line. They have unusual values and need to be examined carefully. Though an outlier may result from erroneous data, at other times, it may hold valuable information about the population under study and should be included in the data. Hence, it is crucial to examine what causes a data point to be an outlier.
The z score is used to find outliers or unusual values. It should be noted that any values beyond -2 and +2 are...
Desirable Characteristics in Others01:26

Desirable Characteristics in Others

Various factors, including the type of relationship, gender, and duration of the relationship, influence the perception of desirable characteristics in others. While certain traits such as trustworthiness, cooperativeness, agreeableness, and extraversion are universally valued across all relationships, other characteristics are context-dependent and gain prominence based on specific relational dynamics.Universal and Context-Dependent TraitsTrustworthiness and cooperativeness are fundamental...
Outliers and Influential Points01:08

Outliers and Influential Points

An outlier is an observation of data that does not fit the rest of the data. It is sometimes called an extreme value. When you graph an outlier, it will appear not to fit the pattern of the graph. Some outliers are due to mistakes (for example, writing down 50 instead of 500), while others may indicate that something unusual is happening. Outliers are present far from the least squares line in the vertical direction. They have large "errors," where the "error" or residual is the vertical...
Self-Discrepancy and Its Effects01:29

Self-Discrepancy and Its Effects

Self-discrepancy theory explains how people compare their actual self to their ideal and ought selves and how mismatches between these self-guides can lead to emotional distress. Developed by E. Tory Higgins, the theory distinguishes among three components of self-concept: the actual self, the ideal self, and the ought self. These refer respectively to how individuals perceive themselves, how they aspire to be, and how they believe they are obligated to be. Emotional well-being, self-esteem,...
Quantifying and Rejecting Outliers: The Grubbs Test01:02

Quantifying and Rejecting Outliers: The Grubbs Test

Sometimes, a data set can have a recorded numerical observation that greatly  deviates from the rest of the data. Assuming that the data is normally distributed, a statistical method called the Grubbs test can be used to determine whether the observation is truly an outlier.  To perform a two-tailed Grubbs test, first, calculate the absolute difference between the outlier and the mean. Then, calculate the ratio between this difference and the standard deviation of the sample. This number is...

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Technology Solutions for Nurse Leaders.

Nursing administration quarterly·2020
Same author

Artificial Intelligence and Nursing: The Future Is Now.

The Journal of nursing administration·2020
Same author

Influence of Patient Characteristics and Psychological Needs on Diabetes Mobile App Usability in Adults With Type 1 or Type 2 Diabetes: Crossover Randomized Trial.

JMIR diabetes·2019
Same author

Why Cities Survive and Companies Die.

The Journal of nursing administration·2019
Same author

Big Data Cohort Extraction to Facilitate Machine Learning to Improve Statin Treatment.

Western journal of nursing research·2018
Same author

Accountability of Nursing Interventions vs. Severity of Illness Scores for the Hospital Care Cost Of Total Hip Replacement.

Nursing economic$·2018
Same journal

The CNO-CFO Dyad: A Strategic Driver of Organizational Performance.

The Journal of nursing administration·2026
Same journal

Elements of Effective Professional Governance: An Integrative Review.

The Journal of nursing administration·2026
Same journal

New Nurse Well-Being: Implications for Retention, Job Satisfaction, and Patient Safety.

The Journal of nursing administration·2026
Same journal

Virtual Nursing Programs in Acute Care Settings: A Scoping Review of Patient, Nurse, and System-Level Outcomes.

The Journal of nursing administration·2026
Same journal

Occupational Fatigue and Cognitive Performance Among Front-Line Nurse Leaders: The Interplay of Personal and Work Factors.

The Journal of nursing administration·2026
Same journal

Enhancing Resilience and Well-Being Among Nurse Leaders: A Randomized Controlled Trial of Mindfulness and Narrative Interventions.

The Journal of nursing administration·2026
See all related articles

Related Experiment Video

Updated: Jun 16, 2026

The Innovation Arena: A Method for Comparing Innovative Problem-Solving Across Groups
14:14

The Innovation Arena: A Method for Comparing Innovative Problem-Solving Across Groups

Published on: May 13, 2022

Diamonds in the rough: positive deviance and complexity.

Thomas R Clancy1

  • 1School of Nursing, University of Minnesota, Minneapolis, MN 55455, USA. clanc027@umn.edu

The Journal of Nursing Administration
|February 4, 2010
PubMed
Summary
This summary is machine-generated.

Complex systems science offers new management insights for organizations like hospitals. This article explores positive deviance for solving complex problems in management.

More Related Videos

Characterization of Complex Systems Using the Design of Experiments Approach: Transient Protein Expression in Tobacco as a Case Study
20:24

Characterization of Complex Systems Using the Design of Experiments Approach: Transient Protein Expression in Tobacco as a Case Study

Published on: January 31, 2014

Related Experiment Videos

Last Updated: Jun 16, 2026

The Innovation Arena: A Method for Comparing Innovative Problem-Solving Across Groups
14:14

The Innovation Arena: A Method for Comparing Innovative Problem-Solving Across Groups

Published on: May 13, 2022

Characterization of Complex Systems Using the Design of Experiments Approach: Transient Protein Expression in Tobacco as a Case Study
20:24

Characterization of Complex Systems Using the Design of Experiments Approach: Transient Protein Expression in Tobacco as a Case Study

Published on: January 31, 2014

Area of Science:

  • Complex systems science
  • Systems theory
  • Organizational management

Background:

  • Systems naturally increase in complexity over time.
  • Complex systems science provides novel perspectives on managing social organizations, particularly hospitals.
  • This work extends systems theory into practical management applications.

Purpose of the Study:

  • To apply complex systems science to traditional management functions (planning, organizing, directing, coordinating, controlling).
  • To explore the concept of positive deviance within complex systems.
  • To demonstrate how positive deviance can yield effective solutions for intricate organizational challenges.

Main Methods:

  • Literature review and conceptual analysis.
  • Application of complex systems principles to management theories.
  • Focus on positive deviance as a problem-solving strategy.

Main Results:

  • Identification of positive deviance as a valuable tool for innovation in complex environments.
  • Demonstration of how to leverage existing organizational strengths to address complex issues.
  • Framework for applying systems thinking to enhance management practices.

Conclusions:

  • Positive deviance offers an elegant approach to solving complex problems in management.
  • Integrating complex systems science enhances traditional management paradigms.
  • Further research can explore practical implementations of positive deviance in various organizational settings.