Human factor analysis of the frame jamb saw

Leadership dimensions and their relation to recruit satisfaction and performance were studied in 73 company commanders. Recruits completed questionnaires assessing company commanders' behaviors and recruits' attitudes. Factor analysis yielded four factors, Human, Informative, Warm, and Effective Communicator. The Human and Warm factors were consistent with interpersonal components found in prior research, but the Informative and Effective Communicator factors were only marginally consistent with task components found previously. Correlations were computed between the factors and the satisfaction and performance of recruits. All factors correlated significantly with recruits' satisfaction, but only the Human factor correlated significantly (negatively) with recruits' performance. Possible reasons for the lack of a traditional task component are discussed.

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readiness of a student for constructive social interaction in relation to life safety

Linguistics and Culture Review ◽

10.21744/lingcure.v5ns2.1393 ◽

2021 ◽

Vol 5 (S2) ◽

pp. 588-598

Author(s):

Olena A. Leshchynska ◽

Volodymyr M. Firman ◽

Volodymyr M. Marych ◽

Yaroslav V. Ilchyshyn ◽

Yarema B. Velykyi

Keyword(s):

Factor Analysis ◽

Social Interaction ◽

Young People ◽

Human Factor ◽

Organisational Culture ◽

Life Safety ◽

National University ◽

Moral Attitudes ◽

Academic Year

One of the most important things about life safety is the implementation of appropriate means and measures to create and maintain healthy and safe living conditions and human activities both in everyday life and during emergencies. The human factor as a factor in life safety can be the main source of danger. A person's readiness for responsible constructive behaviour is formed due to the influence of organisational culture of the enterprise, as well as information space. The authors aimed to investigate the role of moral attitudes of young people and their readiness for constructive social interaction. The study took place in the 2019-2020 academic year at Lviv Polytechnic National University. The empirical study involved 535 students. The questionnaire was carried out. Factor analysis identified six factors. It was established that most students have consumeristic, authoritarian and destructive ideas, therefore their reactions to the actions of life safety specialists aimed at introducing labour safety technologies are reduced to formal observation.

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Human Factor Analysis and Quantification

10.1007/978-3-030-88098-9_5 ◽

2021 ◽

pp. 75-102

Author(s):

Tarannom Parhizkar ◽

Ingrid B. Utne ◽

Jan-Erik Vinnem

Keyword(s):

Factor Analysis ◽

Human Factor

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Human Factor Analysis of Long Cane Design: Weight and Length

Journal of Visual Impairment & Blindness ◽

10.1177/0145482x0509901006 ◽

2005 ◽

Vol 99 (10) ◽

pp. 622-632 ◽

Cited By ~ 12

Author(s):

Mark D. Rodgers ◽

Robert Wall Emerson

Keyword(s):

Factor Analysis ◽

Performance Measures ◽

Human Factor ◽

Weight Distributions ◽

Series Of Experiments ◽

Design Weight

In a series of experiments, canes of different lengths, weights, and weight distributions were assessed to determine the effect of these characteristics on various performance measures. The results indicate that the overall weight of a cane and the distribution of weight along a cane's shaft do not affect a person's performance, but accuracy does decline with the amount of time a person wields the cane, so a heavier cane may exacerbate this fatigue.

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Human Factor Analysis in Dam Safety

IOP Conference Series Earth and Environmental Science ◽

10.1088/1755-1315/571/1/012074 ◽

2020 ◽

Vol 571 ◽

pp. 012074

Author(s):

Huiwen Wang ◽

Dandan Li ◽

Shijia Pan

Keyword(s):

Factor Analysis ◽

Human Factor ◽

Dam Safety

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Human Factor Analysis Model of Civil Aviation Incidents Based on Bayesian Network

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.756-759.3074 ◽

2013 ◽

Vol 756-759 ◽

pp. 3074-3078 ◽

Cited By ~ 1

Author(s):

Ming Ming Zhang ◽

Yan Yang Wang ◽

Min Luo ◽

Wen Zhong Tang

Keyword(s):

Factor Analysis ◽

Human Factors ◽

Bayesian Network ◽

Human Factor ◽

Score Function ◽

Hill Climbing ◽

Civil Aviation ◽

Analysis Model ◽

Factor Analysis Model ◽

Specific Impact

To generate a model which can provides detailed data analysis supportive in aviation incident analysis, a human factor analysis model based on Bayesian network theory is established. This model is a Bayesian network which uses three layers nodes to represent causality between human factors and incidents. The specific impact degree of human factors on aviation incidents is represented by conditional probability parameters of the model. The model structure, constructed by combing hill-climbing search method with CH score function, coincides with the actual data. This model is useful in aviation incident analyses and deductions.

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