Evaluation of Cultural Intelligence in Staff of Industries, Mines and Trades Organizations - Case Study

2016 ◽  
Vol 4 (2) ◽  
pp. 1-10
Author(s):  
Mohammad Abdolshah ◽  
Baranak Geranfar ◽  
Eisa Akbari ◽  
Jalil Vaziri
Keyword(s):  
Organizational Culture ◽  
Correlation Coefficient ◽  
Cultural Intelligence ◽  
Pearson Correlation ◽  
Correlation Coefficients ◽  
Statistical Population ◽  
Key Competencies ◽  
The Relationship ◽  
Personnel Department

This article examines one of the key competencies of the 21st century known as cultural intelligence (CQ). This study investigates the relationship between CQ, organizational culture, and the effectiveness of staff in the industry, mine, and trade organizations of Semnan province in Iran. Using correlational analysis, the statistical population includes a total of 103 people from 141 employees based on personnel department documents. Three questionnaires were used to measure the variables and descriptive and deductive statistics were applied to evaluate and analyze the data. The Pearson correlation coefficient and multivariate regression were used in deductive statistics to obtain the results. The findings show there is a significant relationship between CQ, organizational culture, and effectiveness. Among four cultural intelligence factors, only the knowledge of CQ can predict the effectiveness. The calculated correlation coefficient indicates that the creativity factors and communication pattern have the highest correlation coefficients.

Evaluation of Cultural Intelligence in Staff of Industries, Mines and Trades Organizations - Case Study

2017 ◽  
pp. 429-438
Author(s):  
Mohammad Abdolshah ◽  
Baranak Geranfar ◽  
Eisa Akbari ◽  
Jalil Vaziri
Keyword(s):  
Organizational Culture ◽  
Correlation Coefficient ◽  
Cultural Intelligence ◽  
Pearson Correlation ◽  
Correlation Coefficients ◽  
Statistical Population ◽  
Key Competencies ◽  
The Relationship ◽  
Personnel Department

This article examines one of the key competencies of the 21st century known as cultural intelligence (CQ). This study investigates the relationship between CQ, organizational culture, and the effectiveness of staff in the industry, mine, and trade organizations of Semnan province in Iran. Using correlational analysis, the statistical population includes a total of 103 people from 141 employees based on personnel department documents. Three questionnaires were used to measure the variables and descriptive and deductive statistics were applied to evaluate and analyze the data. The Pearson correlation coefficient and multivariate regression were used in deductive statistics to obtain the results. The findings show there is a significant relationship between CQ, organizational culture, and effectiveness. Among four cultural intelligence factors, only the knowledge of CQ can predict the effectiveness. The calculated correlation coefficient indicates that the creativity factors and communication pattern have the highest correlation coefficients.

scholarly journals Analyzing the Relationship between Organizational Culture and Silence with Organizational Health among Employers of Fars Maskan Bank

2017 ◽  
Vol 9 (1) ◽  
pp. 234
Author(s):  
Asiyeh Foshat ◽  
Reza Zarei
Keyword(s):  
Organizational Culture ◽  
Inverse Relationship ◽  
Pearson Correlation ◽  
Organizational Health ◽  
Fars Province ◽  
Statistical Population ◽  
Organizational Silence ◽  
Statistical Sample ◽  
The Relationship ◽  
Regression Tests

This study aims to analyze the relationship between organizational culture and silence with organizational health. The methodology of the study is correlation, and its statistical population is 642 that are all employers in Maskan Bank in Fars province. Sampling was executed through one-phase clustering sampling in which 130 persons were selected as statistical sample. Three questionnaires of organizational health (Hawaii et al., 1987), organizational culture (Hofstede, 1980), and organizational silence (Vacola & Bouradas, 2005) were used for collecting data. Data was analyzed step to step using Pearson correlation coefficient and multiple regression tests. Results indicated that there is a significant inverse relationship between organizational culture and silence with organizational health (less than 0.01). Higher level managers’ view of silence (among elements of organizational silence) and patriarchy (among elements of organizational culture) are capable of predicting organizational health in inverse. Other elements are not significantly capable in predicting organizational health.

scholarly journals Evaluation of the Relationship between Personality and Conservatism of Investors in the Stock Exchange (Case Study: Insurance Companies)

2021 ◽  
Vol 8 (SPE3) ◽  
Author(s):  
Mahsa Mohseni
Keyword(s):  
Significant Relationship ◽  
Stock Exchange ◽  
Pearson Correlation ◽  
Simple Random Sampling ◽  
Insurance Companies ◽  
Statistical Population ◽  
Pearson Correlation Test ◽  
Correlational Method ◽  
The Relationship

The purpose of this research to "investigate the relationship between personality and conservatism of investors of insurance companies listed on the Tehran Stock Exchange." The present study was applied research in terms of purpose, which has employed a descriptive and correlational method. The statistical population of this research included all people who buy and sell shares of insurance companies listed on the Tehran Stock Exchange. According to Cochran's formula, the sample size was determined as much as 384 people collected by a simple random sampling method. The research instruments were the Conservative Questionnaire based on the Gribel and Leighton (1999) and McCrae and Costa (1985) five-factor personality questionnaire. The questionnaire’s validity was confirmed by 20 experts, and the reliability of all three questionnaires was acceptable for all three questionnaires due to Cronbach's alpha above 0.79. The data analysis was conducted using the Pearson correlation test and regression analysis. The results indicated a significant relationship between the investors’ personality and their conservatism in the Tehran Stock Exchange. There was also a significant relationship between all personality components except for extraversion with the investor’s conservatism in the Tehran Stock Exchange.

scholarly journals Investigation of the Relationship between Trauma, Anxiety, Depression and Stress in Kerman Emergency Medical and Emergency Center 115

2020 ◽  
pp. 25-31 ◽  
Author(s):  
Mohammadreza Soltaninejad ◽  
Mohsen Aminizadeh ◽  
Amin Saberinia
Keyword(s):  
Mental Health ◽  
Correlation Coefficient ◽  
Correlation Coefficients ◽  
Spearman Correlation ◽  
Emergency Center ◽  
Statistical Population ◽  
Emergency Medical ◽  
Spss Software ◽  
Anxiety Depression ◽  
The Relationship

Introduction: The efficacy of psychological and pharmacological approaches is broadly similar in the acute treatment of psychopharmacology disorders. One of the most important stressful environmental stimuli that can cause chronic stress is people's jobs. And since promoting the mental health of individuals in a society, especially its constituent classes, is essential to the dynamics and growth of that society, this research was conducted with the aim of investigating the relationship between trauma caused by accident and anxiety, depression, and stress in Kerman Emergency Medical and Emergency Center during 2019. Methods: This is a descriptive-correlational study. The statistical population was all 70 personnel members of Emergency Medical and 115 Emergency Centers in Kerman. The Depression, Stress and Anxiety Scale 21 and Trauma Screening were used as the instruments of measurement. Pearson and Spearman correlation coefficients through SPSS software were used to test the hypotheses. Results: There is a significant and direct correlation between trauma caused by accidents and personnel anxiety with a correlation coefficient of 0.407. Also, there is a significant and direct correlation between trauma caused by accidents and personnel depression with a correlation coefficient of 0.407. There is also a significant and direct relationship between trauma caused by accidents and personnel stress with a correlation coefficient of 0.388. Conclusion: Our data suggested that mental health along with personality traits is a solution to reduce stress and anxiety resulting from the personnel facing trauma caused by accidents.

The Relationship between the Aesthetic Dimension of Media Literacy and Academic Performance

2021 ◽  
Vol 15 (6) ◽  
pp. 1644-1646
Author(s):  
Maryam Dezfooli ◽  
Marzieh Ramezani ◽  
Fatemeh Ahmad Beigi
Keyword(s):  
Academic Performance ◽  
Correlation Coefficient ◽  
Media Literacy ◽  
Significant Relationship ◽  
Multivariate Regression ◽  
Pearson Correlation ◽  
Pearson Correlation Coefficient ◽  
Statistical Population ◽  
The Aesthetic ◽  
The Relationship

The aim of this study was to investigate the relationship between the aesthetic dimension of media literacy and the academic performance of women in the 12th district of Tehran in 2018-2018. The statistical population in this study is 80 women interested in education and 66 people were selected as a sample using Morgan table. In fact, the whole statistical population was determined as a sample. The research tools are two questionnaires: media literacy and academic performance. Hassan Khani Media Literacy Questionnaire (2018) with 90% reliability and Pham and Taylor (1999) Academic Performance Questionnaire with 84% reliability were used. Data were analyzed using Pearson correlation coefficient and multivariate regression. The results showed that there is a significant relationship between academic performance and aesthetic components of media literacy. Keywords: media literacy, academic performance, aesthetics

scholarly journals The Relationship between Perceived Parenting Styles and Loneliness in Students

2016 ◽  
Vol 12 (9) ◽  
pp. 230 ◽  
Author(s):  
Shideh Rafiee ◽  
Shima Chehreii
Keyword(s):  
Correlation Coefficient ◽  
Parenting Styles ◽  
Significant Relationship ◽  
Pearson Correlation ◽  
Authoritative Parenting ◽  
Statistical Population ◽  
Perceived Parenting ◽  
Authoritative Parenting Style ◽  
Manova Analysis ◽  
The Relationship

<p>The main purpose of this study was to determine the relationship between perceived parenting styles with loneliness in single students of Islamic Azad University of Ahvaz. This is a correlation research. The statistical population included all single students of Islamic Azad University of Ahvaz (12 thousand students) in the year 2014 -2015. This is a convenience sampling type. A total of 200 students are selected as subjects. The research tools include perception of Parenting Styles Questionnaires (PAQ) and the UCLA loneliness. Descriptive statistics such as frequency, percentage, mean, standard deviation, and inferential statistics including Pearson correlation coefficient, multiple regression, univariate and multivariate variance (MANOVA) analysis, Schaeffer test and Cronbach’s alpha method are used in order to analyze the data. The results of correlation coefficient showed that there is negative and significant relationship (r=0.05) between perceived authoritative parenting styles and loneliness and there is positive and significant (r=0.18) between perceived permissive parenting styles and loneliness. Also, there is a positive and significant relationship between perceived authoritative parenting styles and loneliness (0.15). In sum, it can be found from this research that authoritative parenting style plays an important role in non-lonely children. </p>

scholarly journals Measuring the Relationship of Bivariate Data Using Hodges-Lehman Estimator

2020 ◽  
pp. 1-5
Author(s):  
Suhaida Abdullah ◽  
Nur Amira Zakaria ◽  
Nor Aishah Ahad ◽  
Norhayati Yusof ◽  
Sharipah Soaad Syed Yahaya
Keyword(s):  
Correlation Coefficient ◽  
Pearson Correlation ◽  
Correlation Coefficients ◽  
Median Absolute Deviation ◽  
Poor Correlation ◽  
Pearson Correlation Coefficient ◽  
Absolute Deviation ◽  
Bivariate Data ◽  
Relationship Of ◽  
The Relationship

The relationship of bivariate data ordinarily measured using correlation coefficient. The most commonly used correlation coefficient is the Pearson correlation coefficient. This coefficient is well-known as the best coefficient for interval or ratio bivariate data with a linear relationship. Even though this coefficient is good under the mentioned condition, it also becomes very sensitive to a small departure from linearity. Usually, this is because of the existence of an outlier. For that reason, this paper provides new robust correlation coefficients which combine the elements of nonparametric technique from the Hodges Lehmann estimator and the parametric technique based on the Pearson correlation coefficient. This paper also introduces different scale estimators such as median and median absolute deviation (MADn) and denoted by rHL(med) and rHL(MADn) respectively. The performance of the proposed correlation coefficients is measured by the coefficient values and these values are also being compared to the Pearson correlation coefficient and several existing robust correlation coefficients. The results show that the Pearson correlation coefficient (r) with no doubt is very good under perfect data condition, but with only 10% outliers, it not only give poor correlation value but turns the direction of the relationship to negative. While the rHL(med) and rHL(MADn) offer the highest coefficient values and these values are robust to the existence of outliers by up to 30%. With very good performance under all data conditions yet simple in the calculation, the rHL(med) and rHL(MADn) is considered a good alternative to the r when need to deal with outliers. Keywords: correlation coefficient; Hodges Lehmann; median; median absolute deviation (MADn)

scholarly journals Pulmonary Catherization Data Correlate Poorly with Renal Function in Heart Failure

2018 ◽  
Vol 8 (3) ◽  
pp. 183-191
Author(s):  
Luke Masha ◽  
James Stone ◽  
Danielle Stone ◽  
Jun Zhang ◽  
Luo Sheng
Keyword(s):  
Heart Failure ◽  
Renal Function ◽  
Pulmonary Artery ◽  
Renal Dysfunction ◽  
Correlation Coefficient ◽  
Pearson Correlation ◽  
Correlation Coefficients ◽  
History Of ◽  
Cardiac Filling ◽  
The Relationship

Background: The mechanisms of renal dysfunction in heart failure are poorly understood. We chose to explore the relationship of cardiac filling pressures and cardiac index (CI) in relation to renal dysfunction in advanced heart failure. Objectives: To determine the relationship between renal function and cardiac filling pressures using the United Network of Organ Sharing (UNOS) pulmonary artery catherization registry. Methods: Patients over the age of 18 years who were listed for single-organ heart transplantation were included. Exclusion criteria included a history of mechanical circulatory support, previous transplantation, any use of renal replacement therapy, prior history of malignancy, and cardiac surgery, amongst others. Correlations between serum creatinine (SCr) and CI, pulmonary capillary wedge pressure (PCWP), pulmonary artery systolic pressure (PASP), and pulmonary artery diastolic pressure (PADP) were assessed by Pearson correlation coefficients and simple linear regression coefficients. Results: Pearson correlation coefficients between SCr and PCWP, PASP, and PADP were near zero with values of 0.1, 0.07, and 0.08, respectively (p < 0.0001). A weak negative correlation coefficient between SCr and CI was found (correlation coefficient, –0.045, p = 0.027). In a subgroup of young patients unlikely to have noncardiac etiologies, no significant correlations between these values were identified. Conclusion: These findings suggest that, as assessed by pulmonary artery catherization, none of the factors – PCWP, PASP, PADP, or CI – play a prominent role in cardiorenal syndromes.

scholarly journals Educational method to investigarte the Relationship between Organizational Climate and Deviant Behaviors with the Mediation of Job Alienation Variable (Case Study: National Iranian Copper Industries Company)

2020 ◽  
Vol 13 (32) ◽  
pp. 1-15
Author(s):  
Amin Amin Farahbakhsh ◽  
Sanjar Salajeghe ◽  
Mohammad Ziaaddini
Keyword(s):  
Organizational Climate ◽  
Significant Relationship ◽  
Pearson Correlation ◽  
Simple Random Sampling ◽  
Field Method ◽  
Educational Method ◽  
Statistical Population ◽  
Deviant Behaviors ◽  
The Relationship

Regarding the size and dispersion of the complex of copper factories in Iran and the high annual costs of preventing employees' strikes and also reducing deviant behaviors, and the existence of appropriate organizational climate, the aim of the present article is to find an educational method to investigate the relationship between organizational climate and deviant behaviors with the mediation of job alienation variable. This research is applied in terms of purpose, and in terms of nature, it is descriptive-correlation and it was conducted in field method. The statistical population of the research was the employees of the National Iranian Copper Industries Company (1010 people) whom are tried to educate this method. The sample size was calculated using the Cochran formula and 278 individuals were selected by simple random sampling. For data collection, the questionnaire of the organizational climate of Sasman and (Dalal, 2005), the adapted questionnaire of deviant behaviors of (Yoon Goo et al, 2013), and the questionnaire of job alienation of (Rahimi et al, 2016) were used. The reliability of the questionnaires in this research was respectively calculated as 0.851, 0.724, and 0.757. For data analysis, the Pearson correlation coefficient, multiple regression and, path analysis tests were used. The results indicated a positive and significant relationship between organizational climate and deviant behaviors, a negative and significant relationship between job alienation and deviant behaviors, and also explaining about 45% of deviant behaviors by organizational climate variables. It can be said that managers' attention to increase positive organizational climate and to decrease employees' job alienation can lead to further reduction of employees' deviant behaviors.

scholarly journals Towards a Singing Voice Multi-Sensor Analysis Tool: System Design, and Assessment Based on Vocal Breathiness

Sensors ◽  
2021 ◽  
Vol 21 (23) ◽  
pp. 8006
Author(s):  
Evangelos Angelakis ◽  
Natalia Kotsani ◽  
Anastasia Georgaki
Keyword(s):  
Correlation Coefficient ◽  
Pearson Correlation ◽  
Correlation Coefficients ◽  
Vocal Folds ◽  
Analysis Tool ◽  
Singing Voice ◽  
Model Combination ◽  
Respiratory Management ◽  
Study Results

Singing voice is a human quality that requires the precise coordination of numerous kinetic functions and results in a perceptually variable auditory outcome. The use of multi-sensor systems can facilitate the study of correlations between the vocal mechanism kinetic functions and the voice output. This is directly relevant to vocal education, rehabilitation, and prevention of vocal health issues in educators; professionals; and students of singing, music, and acting. In this work, we present the initial design of a modular multi-sensor system for singing voice analysis, and describe its first assessment experiment on the ‘vocal breathiness’ qualitative characteristic. A system case study with two professional singers was conducted, utilizing signals from four sensors. Participants sung a protocol of vocal trials in various degrees of intended vocal breathiness. Their (i) vocal output, (ii) phonatory function, and (iii) respiratory behavior-per-condition were recorded through a condenser microphone (CM), an Electroglottograph (EGG), and thoracic and abdominal respiratory effort transducers (RET), respectively. Participants’ individual respiratory management strategies were studied through qualitative analysis of RET data. Microphone audio samples breathiness degree was rated perceptually, and correlation analysis was performed between sample ratings and parameters extracted from CM and EGG data. Smoothed Cepstral Peak Prominence (CPPS) and vocal folds’ Open Quotient (OQ), as computed with the Howard method (HOQ), demonstrated the higher correlation coefficients, when analyzed individually. DECOM method-computed OQ (DOQ) was also examined. Interestingly, the correlation coefficient of pitch difference between estimates from CM and EGG signals appeared to be (based on the Pearson correlation coefficient) statistically insignificant (a result that warrants investigation in larger populations). The study of multi-variate models revealed even higher correlation coefficients. Models studied were the Acoustic Breathiness Index (ABI) and the proposed multiple regression model CDH (CPPS, DOQ, and HOQ), which was attempted in order to combine analysis results from microphone and EGG signals. The model combination of ABI and the proposed CDH appeared to yield the highest correlation with perceptual breathiness ratings. Study results suggest potential for the use of a completed system version in vocal pedagogy and research, as the case study indicated system practicality, a number of pertinent correlations, and introduced topics with further research possibilities.

Sign in / Sign up

Export Citation Format

Share Document