scholarly journals Neuroticism and Introversion: The Personality Predispositions to develop Depression

2021 ◽  
Vol 2 (2) ◽  
pp. 102-109
Author(s):  
Saba Riaz ◽  
Dr Fatima Khurram Bukhari ◽  
Arif Nadeem
Keyword(s):  
Regression Analysis ◽  
Statistical Analysis ◽  
University Students ◽  
Personality Traits ◽  
Sample Size ◽  
Beck Depression Inventory ◽  
Significant Relationship ◽  
Affective Disorders ◽  
Research Study ◽  
Descriptive Statistics

The previous research studies claimed that there is a relationship between personality predispositions and affective disorders like depression. Personality traits like neuroticism and introversion are considered as a vulnerable factors for the development of depression. Therefore, the aim of this research study was to investigate that whether personality traits like introversion and neuroticisms are linked to depression. The researcher recruited a sample size of 200 university students who were studying in Islamia University Bahawalpur, Bahauddin Zakariya University Multan, and Women University Bahawalpur. Beck depression inventory (BDI), Introversion scale and Neuroticism dimension included in an inventory which was used to measure depression, introversion and neuroticism respectively. Statistical analysis included descriptive statistics, Pearson’s correlation, regression analysis and an independent sample t-tests. The results revealed that there was a positive significant relationship between neuroticism, introversion personality traits and depression. The introversion and neuroticism personality traits significantly predicted depression.

scholarly journals A Sector Wise Influence of Equity Ownership Holding on the Corporate Debt Policy- An Empirical Analysis

2010 ◽  
Vol 9 (2) ◽  
pp. 50-58
Author(s):  
R. Shunmughan ◽  
Sengottuvel E.P.
Keyword(s):  
Regression Analysis ◽  
Empirical Analysis ◽  
Significant Relationship ◽  
Descriptive Statistics ◽  
Corporate Debt ◽  
Power Sector ◽  
Equity Ownership ◽  
Debt Policy

This paper aims to analyse the effect of equity ownership holding pattern on the corporate debt policy under a sector wise classification. The study uses a sample of thirty six firms in the construction of BSE- 200 index during the period 1999-2009. The study has used Regression analysis and Descriptive statistics to quantify the argument. This paper finds a significant relationship between debt policy and public holding pattern in all the sectors. Promoters holding show insignificant relation for the Transport and Power sector.

Emotional Intelligence and Personality Traits as Predictors of Job Performance of IT Employees

2019 ◽  
pp. 1604-1619
Author(s):  
Priyam Dhani ◽  
Tanu Sharma
Keyword(s):  
Emotional Intelligence ◽  
Regression Analysis ◽  
Statistical Analysis ◽  
Data Collection ◽  
Job Performance ◽  
Personality Traits ◽  
Random Sampling ◽  
Frequency Correlation ◽  
Correlation And Regression Analysis ◽  
It Employees

The chief aim of this article is to examine the emotional intelligence (EI) and personality traits as the predictors of job performance of IT employees in India. To obtain this, the data was collected from 158 middle management employees working in Indian IT sector through random sampling method with the help of three scales such as DKEIT, JPI, and MPI. After data collection, the study carried out a different statistical analysis which includes frequency, correlation and regression analysis through SPSS 23.0 version. The study findings reported that both EI and Personality Traits impact the performance of job of IT employees, i.e. both Personality Traits and EI operate as a predictor of Job Performance of Indian IT employees. Based on which, the article gives few recommendations to future researchers.

scholarly journals Personality Traits and Motivation as Factors Associated with Symptoms of Problematic Binge-Watching

2020 ◽  
Vol 12 (14) ◽  
pp. 5810
Author(s):  
Jolanta Starosta ◽  
Bernadetta Izydorczyk ◽  
Małgorzata Dobrowolska
Keyword(s):  
Young People ◽  
University Students ◽  
Personality Traits ◽  
Significant Relationship ◽  
Psychological Factors ◽  
New Technologies ◽  
The Internet ◽  
Factors Associated ◽  
Internet Streaming ◽  
New Form

Advance in new technologies has created a new form of consuming television. Binge-watching can be highly entertaining behavior, but its excessive forms could lead to development of risk of addiction. The aim of the study was to identify psychological factors associated with symptoms of problematic binge-watching and to establish on what devices and platforms young people tend to binge-watch. The results of the study indicate that Polish university students usually binge-watch on laptops and smartphones by using the Internet—streaming platforms or other websites. Low Conscientiousness was the strongest variable related to symptoms of binge-watching from all the personality traits. Furthermore, results show that there is a significant relationship between low Agreeableness, low Emotional Stability, low Intellect and problematic binge-watching. Moreover, escape motivation was the strongest factor from all motivational variables.

Emotional Intelligence and Personality Traits as Predictors of Job Performance of IT Employees

2018 ◽  
Vol 9 (3) ◽  
pp. 70-83
Author(s):  
Priyam Dhani ◽  
Tanu Sharma
Keyword(s):  
Emotional Intelligence ◽  
Regression Analysis ◽  
Statistical Analysis ◽  
Job Performance ◽  
Personality Traits ◽  
Random Sampling ◽  
Sampling Method ◽  
Middle Management ◽  
Correlation And Regression Analysis ◽  
It Employees

The chief aim of this article is to examine the emotional intelligence (EI) and personality traits as the predictors of job performance of IT employees in India. To obtain this, the data was collected from 158 middle management employees working in Indian IT sector through random sampling method with the help of three scales such as DKEIT, JPI, and MPI. After data collection, the study carried out a different statistical analysis which includes frequency, correlation and regression analysis through SPSS 23.0 version. The study findings reported that both EI and Personality Traits impact the performance of job of IT employees, i.e. both Personality Traits and EI operate as a predictor of Job Performance of Indian IT employees. Based on which, the article gives few recommendations to future researchers.

THE INFLUENCE OF TAX ADMINSTRATION ON REVENUE GENERATION IN SOMALIA

2020 ◽  
pp. 1-23
Author(s):  
Mohamed Ali Abdinur ◽  
Abshir Khalif Farah ◽  
Anas Abdulkadir Kassim ◽  
Mohamed Abdiwahid Hashi
Keyword(s):  
Regression Analysis ◽  
Research Method ◽  
Research Study ◽  
Descriptive Statistics ◽  
Primary Sources ◽  
Tax Administration ◽  
Revenue Generation ◽  
Tax Audit ◽  
The Government ◽  
Survey Questionnaires

This study attempts to look the influence of Tax administration on revenue generation in Somalia. The study made use of 170 survey questionnaires containing relevant questions. Descriptive statistics were used to analyses 170 usable responses. The aim of this research study is to evaluate the effect of tax administration on revenue generation to the Somali government. The research design adopted in this study was survey research method. Primary sources of data were used in collecting information which was analyzed using descriptive statistics and regression analysis, and to make decisions. Findings show that the tax administration in Somalia is totally inefficient. Hence, tax administration affects the revenue generated by the government; also, there is a significant relationship between tax administration and revenue generation. The study therefore recommends that Somali Government could enforce taxpayer’s registration, tax audit and revenue protection system to enhance revenue generation in Somalia.

scholarly journals Customer Loyalty in FMCG Sector of Pakistan

2012 ◽  
Vol 4 (1) ◽  
pp. 41-48
Author(s):  
Khansa Zaman ◽  
Asma Arshad . ◽  
Aqeel Shahzad .
Keyword(s):  
Regression Analysis ◽  
Customer Satisfaction ◽  
Sample Size ◽  
Customer Loyalty ◽  
Significant Relationship ◽  
Corporate Reputation ◽  
Empirical Relationship ◽  
Corporate Image ◽  
Relationship Of ◽  
The Impact

The purpose of this study is to find an empirical relationship of proposed variables and to find the impact of customer satisfaction, trust, and corporate reputation on customer loyalty. This study attempts to contribute to the knowledge how FMCG companies of Pakistan can retain their customers by making them loyal through satisfaction, trust, and corporate reputation. A theoretical framework is proposed to suggest links among variables. The sample size selected for research constitutes 200 respondents, and these respondents belong to the cities of Rawalpindi and Islamabad, Pakistan. Multiple regression and correlation coefficient was used to examine hypothesized relationship. Regression analysis reveals that customer satisfaction, trust, and corporate reputation bring 79.0% change in customer loyalty. There is a strong positive yet significant relationship of trust and customer loyalty. Customer satisfaction & corporate image also posit a positive and significant impact on customer loyalty. The results indicate that FMCG companies in Pakistan should pay more attention toward the reputation of their company, satisfaction of their customers, and trust in order to build loyalty of customers. Generalizability and time constraint are the limitations of the study.

scholarly journals Predicción de la lealtad de los usuarios de centros deportivos privados. Variables de gestión y bienestar subjetivo (Prediction of the loyalty of costumers of private sports centers. Management variables and subjective well-being)

Retos ◽  
2019 ◽  
pp. 16-19 ◽  
Author(s):  
Fernando García Pascual ◽  
Mario Alguacil ◽  
Núria Molina García
Keyword(s):  
Regression Analysis ◽  
Statistical Analysis ◽  
Multiple Regression Analysis ◽  
Well Being ◽  
Descriptive Statistics ◽  
The Other ◽  
Subjective Well Being ◽  
The One ◽  
Emotional Value ◽  
Important Purpose

Una de las finalidades más importantes en el contexto de los servicios deportivos es conocer cuáles son las intenciones futuras del usuario, por ello tratar de analizar la lealtad del usuario, se ha convertido en una de los objetivos principales dentro de la gestión del deporte, en concreto, los centros deportivos. Por ello, el objetivo es conocer que influencia tienen las demás variables de gestión y el bienestar subjetivo sobre esta dimensión que mide las intenciones futuras del usuario, como es la lealtad. La muestra de este trabajo estaba formada por 303 usuarios de la instalación deportiva (164 hombres, 139 mujeres). Para el análisis estadístico se utilizó con el programa SPSS v.23. Todas las variables que formaban el modelo obtuvieron buenos resultados en cuanto a la fiabilidad, siendo el valor emocional el que mayor valor de alfa de Cronbach obtuvo. Tras calcular los estadísticos descriptivos de las diferentes escalas del modelo, se realiza un análisis de regresión múltiple, y se observa como este explica el 38% de la varianza, mostrando todas las variables significatividad con la lealtad del usuario, menos la variable que mide el valor precio. Tras conocer que variables influyen más en la predicción de la lealtad, ofrecer a los gestores deportivos información acerca de qué variables reforzar, ayudará a obtener usuarios más leales y en consecuencia fieles con el servicio. Abstract. One of the most important purpose in the context of sports services is to know what the costumer's future intentions are, so trying to analyze costumer loyalty has become one of the main objectives within the management of sport, specifically sports centers. Therefore, the aim is to know what influence the other management variables and subjective well-being have on this dimension that measures the future intentions of the costumer, such as loyalty. The sample of this work was made up of 303 costumers of the sports centre (164 men, 139 women). For statistical analysis it was used with SPSS v.23. All the variables that formed the model obtained good results in terms of reliability, being the emotional value the one that obtained the highest alpha value of Cronbach. After calculating the descriptive statistics of the different scales of the model, a multiple regression analysis is carried out, and it is observed how this one explains 38% of the variance, showing all the variables significance with the loyalty of the user, excepting the variable that measures the price value. After knowing which variables influence loyalty prediction, providing sports managers with information about which variables to reinforce will help to obtain more loyal costumers and consequently faithful to the service.

scholarly journals Empirical Study on Recycling Used Paper Boxes from Online Shopping in China

2021 ◽  
Vol 13 (Number 1) ◽  
pp. 1-15
Author(s):  
Mustakim Melan ◽  
Mohamad Ghozali Hassan ◽  
Zhao Hui Wu ◽  
Ying Tang
Keyword(s):  
Regression Analysis ◽  
Empirical Study ◽  
University Students ◽  
Significant Relationship ◽  
Public Universities ◽  
Online Shopping ◽  
Reasoned Action ◽  
Average Growth ◽  
Independent Variables ◽  
Organizational Costs

Online shopping is the most popular transaction, where the estimated transaction online is approximately USD 1.9 Trillion with an average growth from 8 -12% every year. Online shopping leads to huge consumption of paper boxes. Since, when the buyers receive the goods, they normally destroyed the paper boxes, throwing them away into a dust bin, and some were kept for nothing. Those papers wasted cause environmental impacts, huge organizational costs, and unnecessary spaces are wasted. The study investigates on activities of returning the used paper boxes through online shopping among university students in China by underpinning the Theory of Reasoned Action (TRA). The survey was conducted among 24 public universities in Guangxi, China, with 401 questionnaires accepted for analysis. The study employed regression analysis to test the hypotheses. Both independent variables have a significant relationship to return the paper wasted boxes from online shopping. This paper has its methodology contribution since a rare study focuses on all the bachelor degree students in public universities in Guangxi, China.

Personality Traits, Identity style and Depression as predictors of smoking behavior among university students

2020 ◽  
Vol 14 (4) ◽  
pp. 105-117
Author(s):  
Sana Sarfaraz Afridi ◽  
◽  
Sabeen Rahim
Keyword(s):  
Cigarette Smoking ◽  
University Students ◽  
Personality Traits ◽  
Beck Depression Inventory ◽  
Smoking Behavior ◽  
Male Students ◽  
Total N ◽  
Identity Style ◽  
Neo Five Factor Inventory

Present work was aimed to find the contribution of personality traits, identity style and depression in predicting cigarette smoking. Data was collected from male students of universities located in Peshawar through Beck Depression Inventory – II (BDI – II), NEO-Five Factor Inventory (NEO-FFI) and Identity Style Inventory, Revised (ISI3). A total of 300 male students were involved, out of which n=150 were smokers whereas n=150 were nonsmokers. Of the total n=150 smokers, 75 were hostelers 75 were day scholars and same as for non-smokers. The outcome indicated that those who smoked had high levels of neuroticism and they also scored high on the Beck Depression Inventory. The outcome further revealed that persons having diffused identity style had likelihood of being involved in smoking behavior. Further results exposed that the hostelers were more vulnerable to smoking behavior as compared to the day scholars.

scholarly journals Statistical analysis of ambient air PM10 contami-nation during winter periods for Ruse region, Bulgaria.

2018 ◽  
Vol 145 ◽  
pp. 01007 ◽  
Author(s):  
Irina Tsvetanova ◽  
Ivanka Zheleva ◽  
Margarita Filipova ◽  
Antoaneta Stefanova
Keyword(s):  
Regression Analysis ◽  
Particulate Matter ◽  
Statistical Analysis ◽  
Linear Regression Analysis ◽  
Ambient Air ◽  
Descriptive Statistics ◽  
Winter Period ◽  
Summer Period ◽  
Limit Values ◽  
Contamination Levels

The sources of dust on the territory of Ruse region, Bulgaria are industry, transport and domestic heating by solid fuel. PM10 (particulate matter with a diameter between 2.5 and 10 μm) levels for Ruse mark a significant increase during the autumn-winter period compared to the levels during the spring-summer period [1]. Obviously there is a relationship between PM10 contamination levels and ambient air temperature. The lower the temperatures are, the higher the PM10 levels are. The biggest peak of PM10 levels for the autumn-winter period is usually observed in January months. It is in January that the number of days in which there is exceedance of the limit values of the PM10 levels is maximum observed. Also in January months the day and night temperatures are the lowest and usually they do not pass 0°C for many days of the month. To understand better this relationship we provide a statistical analysis of ambient air PM10 contamination during winter periods. Correlations between the measured PM10 values and the respective temperatures measured for January months for different years are presented. Descriptive statistics of PM10 and some atmospheric characteristics as well as linear regression analysis are calculated and commented in the paper.

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