Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Accountability and Responsibility of a Nurse II

Accountability and Responsibility of a Nurse II

Professional accountability in nursing is a multifaceted concept that encompasses professional ethics, legal standards, and employment expectations. This framework ensures that nurses maintain and elevate the quality of care while upholding the values of their profession. It compels them to treat patients, families, and colleagues with respect, compassion, and integrity.
For example, a nurse demonstrating respect and compassion might listen attentively to a patient's concerns, provide comfort...

Data Validation

Data Validation

Data validation is an essential part of a comprehensive assessment. Validation is confirming or verifying and opening the door to gathering more assessment data as it clarifies vague or unclear data. The process of checking and verifying the collected information is called data validation. The primary purpose of data validation is to ensure data is as free from error, bias, and misinterpretation as possible.
Nursing assessment guides are generally based on holistic models rather than medical...

Hazard Rate

Hazard Rate

The hazard rate, also known as the hazard function or failure rate, is a statistical measure used to describe the instantaneous rate at which an event occurs, given that the event has not yet happened. From a probabilistic perspective, it represents the likelihood that a subject will experience the event in a very small time interval, conditional on surviving up to the beginning of that interval. In terms of frequency, the hazard rate can be viewed as the ratio of the number of events to the...

Obedience

Obedience

According to obedience research, we may harm others under the forceful pressures of an authority figure (Milgram, 1974). How about if the inappropriate orders were delivered with less force? The increasing interdependence between nurses and physicians compelled Hofling and his colleagues to explore nurses’ reactions to a potentially harmful medical request made by the perceived authority figure, the doctor (Hofling, Brotzman, Dalrymple, Graves, & Pierce, 1966). In this situation, obedience...

Survey Safety

Survey Safety

Surveying near highways, rough terrain, or power lines involves significant risks. Working along highways is particularly dangerous and requires the use of warning signs and flagmen. It is safest to avoid working directly on roads and use offsets whenever possible. When highway work is unavoidable, it must follow all safety guidelines. Surveyors should wear bright clothing, such as orange reflective vests, to ensure visibility to motorists, coworkers, and hunters. In construction zones, wearing...

Calibration Curves: Correlation Coefficient

Calibration Curves: Correlation Coefficient

In a linear calibration curve, there is a value called the calibration coefficient, denoted by 'r,' which measures the strength and the direction of association between two variables. The correlation coefficient value ranges from −1 to +1. A value of +1 indicates a perfect positive linear correlation, −1 denotes a perfect negative correlation, and 0 implies no correlation between the two variables. A positive correlation value establishes that as one variable increases, the other increases, and...

You might also read

Related Articles

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

Sort by

Same author

Mindfulness as a mediator and moderator between interpersonal alienation and smartphone addiction among Taiwanese university students.

BMC psychology·2026

Same author

Savoring Belief, Resilience, and Meaning in Life as Pathways to Happiness: A Sequential Mediation Analysis among Taiwanese University Students.

Behavioral sciences (Basel, Switzerland)·2024

Same author

Applying the Taguchi Method to Improve Key Parameters of Extrusion Vacuum-Forming Quality.

Polymers·2024

Same author

Unique clinical features and long term follow up of survivors of sudden cardiac death in an Asian multicenter study.

Scientific reports·2021

Same author

Renal Denervation Decreases Susceptibility to Arrhythmogenic Cardiac Alternans and Ventricular Arrhythmia in a Rat Model of Post-Myocardial Infarction Heart Failure.

JACC. Basic to translational science·2018

Same author

Integrating Refined Kano Model and QFD for Service Quality Improvement in Healthy Fast-Food Chain Restaurants.

International journal of environmental research and public health·2018

Search research articles

Related Experiment Video

Updated: May 16, 2026

An R-Based Landscape Validation of a Competing Risk Model

An R-Based Landscape Validation of a Competing Risk Model

Published on: September 16, 2022

Developing a competency model for safety professionals: correlations between competency and safety functions.

Shu-Hsuan Chang¹, Der-Fa Chen, Tsung-Chih Wu

¹Department of Industrial Education and Technology, National Changhua University of Education, 2 Shi-Da Rd., Changhua City, 50074, Taiwan.

Journal of Safety Research

|December 5, 2012

Summary

This summary is machine-generated.

A new competency model for safety professionals was developed, identifying "safety and health training and management" as key. Personal factors like age and education also significantly impact safety professional competency.

More Related Videos

Establishing a Competing Risk Regression Nomogram Model for Survival Data

Establishing a Competing Risk Regression Nomogram Model for Survival Data

Published on: October 23, 2020

Related Experiment Videos

Last Updated: May 16, 2026

An R-Based Landscape Validation of a Competing Risk Model

An R-Based Landscape Validation of a Competing Risk Model

Published on: September 16, 2022

Establishing a Competing Risk Regression Nomogram Model for Survival Data

Establishing a Competing Risk Regression Nomogram Model for Survival Data

Published on: October 23, 2020

Area of Science:

Occupational Safety and Health
Human Factors in Safety
Professional Competency Development

Background:

Individual competency is crucial for effective performance in any profession.
Understanding the factors influencing safety professional competency is essential for enhancing overall safety performance.
This study addresses the need for a defined competency model for safety professionals.

Purpose of the Study:

To develop a comprehensive competency model for safety professionals.
To identify and analyze the key factors contributing to the competency of safety professionals.
To explore the relationship between perceived competencies and safety functions.

Main Methods:

A survey was conducted with 299 participants, including 153 safety professionals and 146 safety educators.
Self-administered questionnaires were used to collect data on perceived competencies.
Exploratory factor analysis, cluster analysis, MANOVA, and Pearson correlation were employed.

Main Results:

The developed competency scale for safety professionals consists of five distinct factors.
"Safety and health training and management" emerged as the most significant factor explaining competency variance.
Occupation, age, job tenure, education level, and work status significantly influenced perceived professional competency.

Conclusions:

The findings provide insights into the multifaceted nature of safety professional competency.
The study highlights the importance of specific training and management factors in safety roles.
Results can inform the development of targeted safety competency frameworks and educational curricula.