scholarly journals Predict the Creativity of the Engineers of Kermanshah Engineering Organization Based on Their Personality Five Factors and Mental Health

2017 ◽  
Vol 19 (2) ◽  
pp. 116
Author(s):  
Somayeh Azami ◽  
Sattar Kaikhavani
Keyword(s):  
Mental Health ◽  
Regression Analysis ◽  
Pearson Correlation ◽  
Physical Symptoms ◽  
Personality Factors ◽  
Correlation And Regression Analysis ◽  
Five Factors ◽  
Spss Software ◽  
Engineering Organization ◽  
Mental Health Factors

Aim: The aim of this study was to predict the creativity of the engineers of Kermanshah Engineering Organization based on their personality and mental health factors. Method: This study was performed with Pearson correlation and multiple regressions, Cranach's Alpha coefficient, SPSS software version 20. A total of 375 engineers were selected based on Morgan table that completed 3 types of questionnaires: Torrance questionnaire (verbal section), (NEO-FFI) questionnaire and GHQ-28 questionnaire. The significant level in this study was considered as 0.05. This study was descriptive and correlation based. The sampling method was random. The study was a descriptive – correlative. Result: Correlation and regression analysis showed that there was a significant relationship between creativity (fluidity, flexibility, innovation, expansion) with five factors of personality (Neuroticism, Extraversion, Conscientiousness, Openness, Agreeableness) and mental health (physical symptoms, anxiety and insomnia, depression, social function).  So regression analysis showed that personality factors (neuroticism, extraversion, flexibility) are better models to predict creativity.

A Study of Internet Addiction and Its Effects on the Mental Health of Medical Students: A Cross-Sectional Study in Western Iran

2019 ◽  
Author(s):  
Javad Yoosefi Lebni ◽  
Razie Toghroli ◽  
Manoj Sharma ◽  
Behzad Mahaki ◽  
Hadi Darvishi Gilan ◽  
...  
Keyword(s):  
Mental Health ◽  
Regression Analysis ◽  
Academic Success ◽  
University Students ◽  
Multiple Regression Analysis ◽  
Multiple Regression ◽  
Internet Addiction ◽  
Pearson Correlation ◽  
The Internet ◽  
Statistical Population

Abstract Background: The internet itself is a harmless technology. However, its overuse and misuse will expose its users to internet addiction. On the other hand, diagnosis of students’mental dysfunction is of prime importance, and their progress and academic success in the future can be prevented by this technology if not properly handled. Methods: In this descriptive and correlational study, the statistical population consisted of all students at Kermanshah University of Medical Sciences, of which 447 students studying in the first and second semesters of the academic year 2017-18 were selected through Cochran's Sample Size Formula and Stratified Random Sampling. As for data collection, the Young's Internet addiction Test (IAT) and Goldberg General Health Questionnaire (GHQ-28) were utilized. Moreover, for data analysis, the descriptive statistics (percentage, mean, standard deviation) and inferential statistics (T-test, Pearson correlation coefficient, and multiple regression analysis) were employed in the environment of SPSS Statistical Software Version 23.0. Results: The results of the present study demonstrated that the total mean score of students’ internet addiction and mental health measured 3.81±0.88 and 2.56±0.33, respectively. The results also indicated that internet addiction correlared positively with depression whereas negatively with mental health (P<0.001). Besides, the results of multiple regression analysis revealed that the five major predictors of vulnerability to internet addictionin university students were as follows: the key reason for using the internet, faculty, depression, the main place for using the internet, and somatic symptoms. Conclusions: According to the findings of the present study, it can be concluded that students’ excessive use of the internet leads to depression, anxiety, and reduced mental health, thereby affecting their academic performance. Hence, it is suggested that further monitoring and control be exercised on how the internet is used by university students, and they should be informed of the detrimental effects of this technology in the case of misuse or overuse.

Related type of personality a and mental health

2011 ◽  
Vol 26 (S2) ◽  
pp. 1021-1021
Author(s):  
H. Ghorbani Amir ◽  
T. Ahmadi Gatab
Keyword(s):  
Mental Health ◽  
Significant Relationship ◽  
Pearson Correlation ◽  
Type A ◽  
Physical Symptoms ◽  
Personality Types ◽  
List Type ◽  
Significant Difference ◽  
Type A Personality ◽  
University City

IntroductionConstitutional factors in mental health can be effective is the concept of personality types. Because the major segments of the population of students form community activist, according to mental health in this group of people is very important and vital.ObjectivesThis study investigated the relationship between type A personality and mental health is.MethodsDescriptive research method is correlation. The study sample included 50 students of psychology Noor University city of Babol is the daughter of 25 people and 25 people will Psrtshkyl and randomly selected and two personality questionnaires and mental health a. Gold Leaf (GHQ) have responded.ResultsResults using Pearson correlation and t test using T spss 18 software were analyzed.Findings indicate that:1.Between personality types and mental health A significant relationship exists.2.Mean mental health of girls and boys there is no significant difference.3.Between type A personality and physical symptoms there is a significant relationship.4.Between type A personality and symptoms of anxiety and sleep disturbance is a significant correlation.5.Between type A personality and social function there is a significant relationship.6.Between type A personality and depressive symptoms are significantly related.7.Gender (boys and girls) and Type A Shkhsty are related.ConclusionsAccording to research results between type A personality and mental health of a significant relationship exists. Number of participants who had type A mental health are lower than the number of participants who had personality and B are.

scholarly journals Assessing the Level of Mental Health of Medical Staff at a Private Hospital at the Time of Corona Virus Pandemic

2020 ◽  
Author(s):  
hadi alimoradi ◽  
mahsa nazari ◽  
reza jafari nodoushan
Keyword(s):  
Mental Health ◽  
Social Cohesion ◽  
Medical Staff ◽  
Pearson Correlation ◽  
Psychosocial Interventions ◽  
Negative Effects ◽  
Private Hospitals ◽  
Social Media Networks ◽  
Correlation And Regression Analysis ◽  
The Relationship

Introduction: Corona epidemic and quarantine enforcement, various effects on the psychological and social aspects of the population has left. The aim of this study is to investigate the relationship between depression, anxiety and relationship with medical staff and mental health is caused by corona. Methods: For this purpose, samples of 650 health personnel of private hospitals were selected. Inventory DASS, HADS, and selected social cohesion (Keyes) and the Internet and through social media networks were evaluated. To analyze the data, Pearson correlation and regression analysis were used. Results: The results showed that straw anxiety corona) to negative (and social cohesion caused by corona) to positive (mental health correlates. It was also found that anxiety and social cohesion caused by corona, respectively 47 and 26 percent predict changes in mental health. Conclusion: These results show the positive and negative effects of psychosocial interventions in quarantine and it have practical implications in the development of the epidemic crisis is Corona.

scholarly journals Influential Factors of Tourists’ Satisfaction in Bangladesh: Evidence from Selected Tourism Destinations at Cumilla Region

2020 ◽  
pp. 75-86
Keyword(s):  
Regression Analysis ◽  
Pearson Correlation ◽  
Simple Random Sampling ◽  
Developed Countries ◽  
Influential Factors ◽  
Tourism Industry ◽  
Correlation And Regression Analysis ◽  
Survey Technique ◽  
Tourism Destinations ◽  
Developing And Developed Countries

Tourism is a developing industry around the world. Tourism industry is dynamic as it plays a momentous role in the economy of developing and developed countries. The aim of the study is to understand the influential factors of tourists’ satisfaction with selected tourism destinations at Cumilla region in Bangladesh. Data are collected from 300 visitors’ by survey technique through a designed questionnaire with 5-point Likert scales. Simple random sampling method is used. Data are analyzed using frequency analysis, descriptive statistics, Pearson correlation, and regression analysis. From the results of regression analysis, the study is found that product, promotion, people, and psychical evidence as to the vital factors, which significantly effect tourists’ satisfaction. Therefore, it is suggested that the study creates consciousness among prospective tourists, researchers, academicians, government authorities, tourism businesses, politicians, and all the stakeholders, and also the tourism industry can be benefited knowing the factors of tourists’ satisfaction. Hence, the papers can be helped tourists’ satisfaction advance along with tourism destinations products offer to prospect tourists.

scholarly journals Evaluation of the effects of Covid 19 on the mental health of staff in a private hospital for coronary patients

2020 ◽  
Author(s):  
Reza Jafari Nodoushan ◽  
Hadi Alimoradi ◽  
Mahsa Nazari
Keyword(s):  
Mental Health ◽  
Pearson Correlation ◽  
Psychosocial Interventions ◽  
Negative Effects ◽  
Private Hospitals ◽  
Social Media Networks ◽  
Correlation And Regression Analysis ◽  
Coronary Patients ◽  
The Relationship ◽  
Practical Implications

Abstract Background: Corona epidemic and quarantine enforcement, various effects on the psychological and social aspects of the population has left. The aim of this study is to investigate the relationship between depression, anxiety and relationship with medical staff and mental health is caused by corona.Methods: For this purpose, samples of 650 health personnel of private hospitals were selected. Inventory DASS, HADS, and the Internet and through social media networks were evaluated. To analyze the data, Pearson correlation and regression analysis were used.Results: The results showed that straw anxiety corona) to negative (and social cohesion caused by corona) to positive (mental health correlates. It was also found that anxiety caused by Corona, respectively 47 and 26 percent predict changes in mental health.Conclusion: These results show the positive and negative effects of psychosocial interventions in quarantine and it have practical implications in the development of the epidemic crisis is Corona.

P01-304-Frequency of pre-menstrual dysphoric disorder (PMDD), premenstrual syndrome (PMS) and some related factors in students of girls’ high schools of esfahan

2011 ◽  
Vol 26 (S2) ◽  
pp. 306-306
Author(s):  
M. Karahmadi
Keyword(s):  
Mental Health ◽  
High Schools ◽  
Positive Family History ◽  
Physical Symptoms ◽  
Cluster Sampling ◽  
Related Factors ◽  
Highly Educated ◽  
Demographic Questionnaire ◽  
Dsm Iv ◽  
Spss Software

IntroductionMany women in fertile period of their lives experience some bothering mental and physical symptoms. After presentation of DSM-IV, these symptoms already known as Pre-menstrual syndrome (PMS) were called Pre-menstrual dysphoric disorder (PM DD).The prevalence of PMS has been estimated to be about 40% to 70% but severe signs (PMDD) have lower prevalence. This study has evaluated the frequency of PMS and PMDD and some related factors in girls’ high schools.Methods and materialsIn this descriptive-analytic study, 800 students of girls’ high schools were chosen by randomized cluster sampling. A researcher made questionnaire assessing PMS and PMDD according to DSM.lV.TR criteria as well as a demographic questionnaire were administered to participants. Data were analyzed running SPSS software -version 11.5.FindingsFrequencies of PMS and PMDD were 41.5% and 9.4% respectively. The disorder was more frequent in students older than 16 years old. Mood symptoms were the most frequent presentation, followed by physical and behavioral symptoms. There was a lower frequency of the disorder despite a higher frequency of the syndrome in students with highly educated mothers. The frequency of PMS was higher in students with positive family history.DiscussionBecause of the potential adverse effects of PMS and PMDD on academic achievement and mental health of students, the high frequency of these problems need urgent attention. Planning mental health evaluations and interventions is necessary for these age group students. Diagnosis of severe cases and referring them should be considered in such programs.

scholarly journals Personality and Stress: Personality Factors that Affect on Emerge of Stress

2009 ◽  
Vol 24 (S1) ◽  
pp. 1-1
Author(s):  
A. Homayouni ◽  
H. Aghajanipour ◽  
G.A. Nikpour ◽  
A. Khanmohammadi
Keyword(s):  
Mental Health ◽  
Pearson Correlation ◽  
Personality Types ◽  
Stress Factors ◽  
Personality Factors ◽  
Pearson Correlation Coefficient ◽  
Personality Dimensions ◽  
Cognitive Patterns ◽  
Stress Inventory ◽  
Personality Patterns

Introduction and aim:Studies of relationships between personality dimensions and mental health indicate that people with psychiatric disorders have distinct personality patterns that comprising behavioural, emotional and cognitive patterns in the society(Malouff, 2005 & Widiger,1994). The study aimed to investigate relationship among personality dimensions (introversion-extroversion E/I, intuition- sensing N/S, thinking-feeling T/F, perceiving-judging P/J) based on Jungian personality types and stress in students of university.Method:The studied population included 200 students between ages of 19-23 were randomly selected from four universities center and Hogan-Champagne's Personal Style Inventory (PSI) and Coudron's Stress Inventory (CSI) were administered on them. PSI assesses eight personality dimensions based on Jungian personality types mentioned above. The data were analyzed with Pearson correlation coefficient.Results:Analysis showed positive correlation between introversion and stress and negative correlation between extroversion and stress. Analysis of personality dimensions showed female are more sensing than male and male are more intuition than female.Conclusions:In regard to introverted are quiet, diligent at working alone, and socially reserved make decisions, some what independently constraints and prodding from situation, culture, people, or things around them and so facing to stress factors interrupt their own world and reduce their function. These factors cause to variability in situation and stress com about. The last finding is the students believe themselves beyond they are, and with facing to problems beyond their ability, stress has more effects.

The Role of Customer Commercial Knowledge Management in Improving the Performance of Employees of Insurance Firms in Iran

2019 ◽  
Vol 10 (1) ◽  
pp. 17-33
Author(s):  
Bagher Asgarnezhad Nouri ◽  
Fahimeh Oleykie ◽  
Milad Soltani
Keyword(s):  
Knowledge Management ◽  
Job Performance ◽  
Pearson Correlation ◽  
Insurance Companies ◽  
Effective Factors ◽  
Correlation And Regression Analysis ◽  
Staff Performance ◽  
Insurance Firms ◽  
Spss Software

The purpose of this article is to determine the effect of customer commercial knowledge management on the performance of employees of insurance firms. The population comprises the employees of all insurance companies of Ardabil province in Iran. Due to the small size of the population, no sampling was carried out and the population was examined through a census procedure. Data collection was carried out using Newman and Conrad's knowledge management questionnaire and Patterson's job performance questionnaire. A data analysis was conducted with Pearson correlation and regression analysis using SPSS software. The results showed that customer commercial knowledge management can predict staff performance; hence, it is one of the effective factors in improving staff performance.

scholarly journals Validity of G-36 and knowledge tests in relation to performance at a training program

2013 ◽  
Vol 30 (1) ◽  
pp. 67-74 ◽  
Author(s):  
Alina Gomide Vasconcelos ◽  
Jáder dos Reis Sampaio ◽  
Elizabeth do Nascimento
Keyword(s):  
High School ◽  
Regression Analysis ◽  
Personnel Selection ◽  
Pearson Correlation ◽  
Public Organization ◽  
Training Performance ◽  
Correlation And Regression Analysis ◽  
Shared Variance ◽  
Academic Grades ◽  
New Research

This study aimed to investigate the predictive validity of academic grades and G-36 scores in personnel selection. The sample was compose by 83 individuals from public organization with mean age of 22.01 (SD=2.99) years old, being 81.9% males and 91.6% with eleven years of education (High School at least). Pearson correlation and regression analysis were used to verify the association between training performance and both predictors. Significant correlations were observed between variables range. Linear regression indicated a shared variance of 23.0% between G-36 and theoretical disciplines results. New research could be development to investigate the contribution of knowledge tests to personnel selection.

Implementation Five-Construct Model to Determine Factors that Affect Customer Satisfaction in The Online Leathercraft Industry

2021 ◽  
Vol 1 (3) ◽  
pp. 337-346
Author(s):  
Dian Indri Purnamasari ◽  
Asep Saepudin ◽  
Vynska Amalia Permadi ◽  
Riza Prapascatama Agusdin
Keyword(s):  
Regression Analysis ◽  
Customer Service ◽  
Online Shopping ◽  
Demographic Data ◽  
Personal Characteristics ◽  
Correlation And Regression Analysis ◽  
Five Factors ◽  
Shopping Experience ◽  
External Incentives ◽  
Monthly Salary

This research uses a five-construct theoretical model as the basis for finding out what factors can satisfy customers in the online leathercraft industry. The questionnaire is based on this model, which is distributed through online channels and social media. There are 691 samples obtained and analyzed by looking at the demographic data and then correlation and regression analysis. The results obtained are that all hypotheses are accepted with factors that can satisfy customers: online shopping experience; external incentives; customer service; and security/privacy; and personal characteristics. For personal characteristics that can be used as factors, namely monthly salary and occupation. These five factors are recommended to be implemented by the online leathercraft industry to satisfy their customers.

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