scholarly journals PREDICTING INFLUENCE OF PARENT’S EMOTIONAL INTELLIGENCE ON THEIR CHILD’S EMOTIONAL INTELLIGENCE

2020 ◽  
Author(s):  
Kevin Joy ◽  
Taniya Singh ◽  
Keerthana Menon K ◽  
Diya Elsa George ◽  
Renya C V ◽  
...  
Keyword(s):  
Emotional Intelligence ◽  
Linear Regression ◽  
Multiple Linear Regression ◽  
Economic Status ◽  
Pearson Correlation ◽  
Educational Institutions ◽  
Simple Linear Regression ◽  
Significant Relation ◽  
Intelligence Scale ◽  
The Individual

The study aimed to predict how much father and mother’s emotional intelligence influence their child’s emotional intelligence. The sample of 164 higher secondary children and their parents was selected randomly from three educational institutions in Irinjalakuda municipality. There was a preponderance of participants belonging to middle socio-economic status. Single children were 16%, a child with only one sibling was 60% and a child with two siblings were 24%. Approximately ⅓ of the sample were males and ⅔ were females. The Brief Emotional Intelligence Scale was used to gather the information from the sample taken. Descriptive statistics such as mean and standard deviation was primarily analysed. Pearson correlation was run to verify the association concerning child emotional intelligence and their parent’s emotional intelligence and a statistically significant relation was obtained. To determine the variance of parental emotional intelligence on their children emotional intelligence simple linear regression and multiple linear regression were performed. Simple linear regression was used to determine the individual influence of each parent and multiple linear regression were executed to understand the combined effect of parental emotional intelligence on their child.

scholarly journals PREDICTING INFLUENCE OF PARENT’S EMOTIONAL INTELLIGENCE ON THEIR CHILD’S EMOTIONAL INTELLIGENCE

2020 ◽  
Author(s):  
Kevin Joy ◽  
Taniya Singh ◽  
Keerthana Menon K ◽  
Diya Elsa George ◽  
Renya C V ◽  
...  
Keyword(s):  
Emotional Intelligence ◽  
Linear Regression ◽  
Multiple Linear Regression ◽  
Economic Status ◽  
Pearson Correlation ◽  
Educational Institutions ◽  
Simple Linear Regression ◽  
Significant Relation ◽  
Intelligence Scale ◽  
The Individual

The study aimed to predict how much father and mother’s emotional intelligence influence their child’s emotional intelligence. The sample of 164 higher secondary children and their parents was selected randomly from three educational institutions in Irinjalakuda municipality. There was a preponderance of participants belonging to middle socio-economic status. Single children were 16%, a child with only one sibling was 60% and a child with two siblings were 24%. Approximately ⅓ of the sample were males and ⅔ were females. The Brief Emotional Intelligence Scale was used to gather the information from the sample taken. Descriptive statistics such as mean and standard deviation was primarily analysed. Pearson correlation was run to verify the association concerning child emotional intelligence and their parent’s emotional intelligence and a statistically significant relation was obtained. To determine the variance of parental emotional intelligence on their children emotional intelligence simple linear regression and multiple linear regression were performed. Simple linear regression was used to determine the individual influence of each parent and multiple linear regression were executed to understand the combined effect of parental emotional intelligence on their child.

scholarly journals The Influence of Emotional Intelligence and Teacher Workload on Teacher Performance

2021 ◽  
Vol 4 (1) ◽  
pp. 34
Author(s):  
Annisa Husninadiyah Susanto ◽  
Ida Bagus Gede Surya Abadi
Keyword(s):  
Emotional Intelligence ◽  
Regression Analysis ◽  
Linear Regression ◽  
Hypothesis Testing ◽  
Multiple Linear Regression ◽  
Teacher Performance ◽  
Linear Regression Analysis ◽  
Multiple Linear Regression Analysis ◽  
Simple Linear Regression ◽  
Teacher Workload

There are still many teachers who have not been able to act professionally. Lack of emotional intelligence and motivation of teachers to complete tasks hampers teacher performance. This research was an ex post facto research. The population in the study involved 46 respondents. The techniques used to collect data are observation, interviews, and questionnaires. The instrument used in analyzing the data is a questionnaire. The data analysis method used consists of classical assumption tests and hypothesis testing. Classical assumption test consisted of residual normality test, heteroscedasticity test, multicollinearity test, and SPSS-assisted linearity test. Hypothesis testing used simple linear regression analysis and multiple linear regression analysis assisted by SPSS. The study results based on simple linear regression analysis and multiple linear regression analysis showed that (1) there was no effect of emotional intelligence on teacher performance. (2) There was an effect of workload on teacher performance with a contribution of 98%. (3) There is an influence of emotional intelligence and teacher workload on teacher performance with a contribution of 14.3%. It can be concluded that there is an influence of emotional intelligence and teacher workload on the performance of elementary school teachers.

PENGARUH KUALITAS LAYANAN DAN NILAI PELANGGAN TERHADAP KEPUASAN PELANGGAN

2018 ◽  
Vol 6 (2) ◽  
Author(s):  
Ismail Razak, SE., MS. ◽  
Silviana Fadilla Prasevie
Keyword(s):  
Data Analysis ◽  
Linear Regression ◽  
Service Quality ◽  
Multiple Linear Regression ◽  
Customer Value ◽  
Sampling Method ◽  
Analysis Method ◽  
Simple Linear Regression ◽  
Central Java ◽  
Data Analysis Method

The purpose of this study was to analize the impacts of service quality and customer value on the satisfaction of customers. Questionnaires are used to collect data from Boks Café customer in Bumiayu, Kabupaten Brebes, Central java by using scale of Likert. In this study, accident sampling method was used and data analysis method was simple linear regression and multiple linear regression. The results of this study indicated that service quality and customer value positively and significant influenced the satisfaction of customers. The conclution of this study is that customer value was dominant than service quality in influencing the satisfaction of customers

PENGARUH KUALITAS LAYANAN DAN CITRA PERUSAHAAN TERHADAP KEPUASAN NASABAH

2017 ◽  
Vol 5 (2) ◽  
Author(s):  
Ismail Razak, SE., MS. ◽  
Elza Finnora
Keyword(s):  
Data Analysis ◽  
Linear Regression ◽  
Multiple Linear Regression ◽  
Sampling Method ◽  
Services Quality ◽  
Corporate Image ◽  
Primary Data ◽  
Analysis Method ◽  
Simple Linear Regression ◽  
Data Analysis Method

The aim of this study was to analize the influence of services quality and corporate image on the satisfaction of customers. Primary data was obtained from customers of Standard Chartered Bank through admission filling of questionnaire by using scale of Likert. In this study, accident sampling method was used and data analysis method was simple linear regression and multiple linear regression. The results of this study indicated that services quality and corporate image positively and significant influenced the satisfaction of customers. The conclution of this study is that services quality was dominant than corporate image in influencing the satisfaction of customers.

scholarly journals Is Emotional Intelligence Correlated With Values Among Primary Schoolers?

SAGE Open ◽  
2021 ◽  
Vol 11 (2) ◽  
pp. 215824402110207
Author(s):  
Kerem Coskun ◽  
Ozlem Ulu Kalin ◽  
Arcan Aydemir
Keyword(s):  
Factor Analysis ◽  
Emotional Intelligence ◽  
Regression Analysis ◽  
Primary School ◽  
School Children ◽  
Pearson Correlation ◽  
Relevant Literature ◽  
Primary School Children ◽  
Intelligence Scale ◽  
Confirmatory Factor

The present study sought to develop a scale to measure the values adoption of primary school children and explore whether emotional intelligence of primary school children is associated with values which are taught through curricular activities. First, the Value Adoption Scale (VAS) was developed in Study 1 by conducting exploratory factor analysis (EFA) and confirmatory factor analysis (CFA) and correlation was examined in Study 2. Data were collected using the Ten Years Emotional Intelligence Scale (TYEIS) and the Value Scale consisting of eight items. Data were analyzed with Pearson correlation coefficient and regression analysis. Results of data analysis indicated that there was a moderate correlation between emotional intelligence and values, but regression analysis revealed that emotional intelligence had weak predictive power for values adoption. It was concluded that teaching values through curricular activities is not useful to foster emotional intelligence among primary school children. Results of the research are discussed and addressed along with the relevant literature.

scholarly journals Feasibility study of assessing the Preclinical Alzheimer Cognitive Composite (PACC) score via videoconferencing

2021 ◽  
Author(s):  
Giulia Seghezzo ◽  
Yvonne Van Hoecke ◽  
Laura James ◽  
Donna Davoren ◽  
Elizabeth Williamson ◽  
...  
Keyword(s):  
Cognitive Impairment ◽  
Clinical Practice ◽  
Linear Regression ◽  
Multiple Linear Regression ◽  
Pearson Correlation ◽  
Cognitive Tests ◽  
Strong Positive Correlation ◽  
Pearson Correlation Coefficient ◽  
Face To Face ◽  
The Difference

Abstract Background The Preclinical Alzheimer Cognitive Composite (PACC) is a composite score which can detect the first signs of cognitive impairment, which can be of importance for research and clinical practice. It is designed to be administered in person; however, in-person assessments are costly, and are difficult during the current COVID-19 pandemic. Objective To assess the feasibility of performing the PACC assessment with videoconferencing, and to compare the validity of this remote PACC with the in-person PACC obtained previously. Methods Participants from the HEalth and Ageing Data IN the Game of football (HEADING) Study who had already undergone an in-person assessment were re-contacted and re-assessed remotely. The correlation between the two PACC scores was estimated. The difference between the two PACC scores was calculated and used in multiple linear regression to assess which variables were associated with a difference in PACC scores. Findings Of the 43 participants who were invited to this external study, 28 were re-assessed. The median duration in days between the in-person and the remote assessments was 236.5 days (7.9 months) (IQR 62.5). There was a strong positive correlation between the two assessments for the PACC score, with a Pearson correlation coefficient of 0·82 (95% CI 0·66, 0·98). The multiple linear regression found that the only predictor of the PACC difference was the time between assessments. Interpretation This study provides evidence on the feasibility of performing cognitive tests online, with the PACC tests being successfully administered through videoconferencing. This is relevant, especially during times when face-to-face assessments cannot be performed.

scholarly journals PENGARUH SANKSI PERPAJAKAN DAN KESADARAN WAJIB PAJAK TERHADAP KEPATUHAN WAJIB PAJAK ORANG PRIBADI DI MANADO

2017 ◽  
Vol 12 (2) ◽  
Author(s):  
Elfin Siamena ◽  
Harijanto Sabijono ◽  
Jessy D.L Warongan
Keyword(s):  
Linear Regression ◽  
Multiple Linear Regression ◽  
Sampling Method ◽  
T Test ◽  
Purposive Sampling ◽  
Tax Revenues ◽  
A Value ◽  
The Individual ◽  
Compliance Issue ◽  
Research Analysis

The number of taxpayers from year to year increases. But the increase in the number of taxpayers is not offset by taxpayer compliance in paying taxes. The compliance issue becomes an obstacle in maximizing tax revenues. This study aims to analyze the effect of tax sanctions and taxpayer awareness on the compliance of individual taxpayers. The population of this study is determined based on purposive sampling method, the data collected by division of questionnaires in KPP Pratama Manado. The method of research analysis used is multiple linear regression. based on the result of t test, it can be concluded that the tax sanction has positive and significant effect on the taxpayer compliance of the individual, with the value of significance smaller than the significant value (0.001 < 0.05), the consciousness of the taxpayer positively and significantly influence the compliance personal taxpayer, this is indicated by a value of significance smaller than the significant value (0.003 < 0.05).Keywords :Tax sanctions, Taxpayer awareness, Personal taxpayer compliance

scholarly journals Pengaruh Kecerdasan Emosional Dan Lingkungan Kerja Karyawan Di CV. Bali Coco Fiber Jembrana

2021 ◽  
Vol 7 (1) ◽  
pp. 88
Author(s):  
Marliana Pasolo ◽  
Putu Gede Parma
Keyword(s):  
Emotional Intelligence ◽  
Regression Analysis ◽  
Linear Regression ◽  
Multiple Linear Regression ◽  
Work Environment ◽  
Quantitative Research ◽  
Employee Performance ◽  
Linear Regression Analysis ◽  
Multiple Linear Regression Analysis ◽  
Structured Interview

This study aims to examine the effect of: (1) Emotional intelligence and work environment on employee performance, (2) Emotional intelligence on employee performance, (3) Work environment on employee performance. This study used a causal quantitative research design, the subjects in this study were all employees at CV Bali Coco Fiber Jembrana, the population in this study was 48 employees.Data collected by structured interview techniques and questionnaires. The results of the research on multiple linear regression analysis show that simultaneously.(1) Emotional intelligence has a positive and significant effect on the work environment, (2) Emotional intelligence has a positive and significant effect on employee performance (3) The work environment has a positive and significant effect on employee performance at CV Bali Coco Fiber.

scholarly journals THE ROLE OF EMOTIONAL INTELLIGENCE IN JOB SATISFACTION OF INDIVIDUALS

2017 ◽  
Vol 7 (1) ◽  
pp. 203
Author(s):  
Luisa Amelia França ◽  
Lisete Dos Santos Mendes Monico
Keyword(s):  
Job Satisfaction ◽  
Emotional Intelligence ◽  
Work Experience ◽  
Pearson Correlation ◽  
Well Being ◽  
Significant Negative Correlation ◽  
Organizational Stress ◽  
Private Companies ◽  
Public And Private ◽  
The Individual

Abstract.Emotional intelligence is a set of skills that enable the individual to manage their own emotions and those of others, making it easier to achieve established objectives and create wellbeing at organizational, academic and personal level. Job satisfaction is a positive emotional assessment of work experience that is related to the productivity and well-being. In this regard, the aim of this study was to analyze to what extent emotional intelligence can increase job satisfaction. To achieve this goal are counted with a mixed sample of 377 workers (M = 172, F= 205) in public and private companies of Portugal, that answered a questionnaire previously validated by other authors, which mediates the three main variables of study: emotional intelligence, organizational stress and job satisfaction. The results obtained through the Pearson correlation tested the hypotheses in the expected direction with significant negative correlation between emotional intelligence and organizational stress and a significant positive correlation between emotional intelligence and job satisfaction. Emotional intelligence workers anticipated job satisfaction R multiple = .332, R2 = .111, F (6, 370) = 7.66, p <.001, the most significant variables as predictors of emotional intelligence, Auto - courage (? = .184, p = .001), and Empathy and emotional contagion (? =.141, p = .016).Keywords: Emotional Intelligence and Job Satisfaction.Resumen.La inteligencia emocional consiste en un conjunto de habilidades que permiten al individuo manejar sus propias emociones y las de los demás, por lo que es más fácil alcanzar los objetivos establecidos y crear bienestar a nivel organizacional, académico y personal. La satisfacción laboral representa una valoración emocional positiva sobre la experiencia de trabajo, que está relacionado con la productividad y el bienestar. En este sentido, el objetivo de este estudio es analizar hasta qué punto la inteligencia emocional puede aumentar la satisfacción laboral. Para llevar a cabo este objetivo se contó con una muestra mixta de 377 trabajadores (M = 172, F = 205) de empresas públicas y privadas de Portugal, que respondieron a un cuestionario previamente validado por otros autores, que medía las dos variables principales de este estudio: inteligencia emocional y satisfacción laboral. Los resultados obtenidos a través de la correlación de Pearson probaron la hipótesis en la dirección esperada, una correlación positiva significativa entre la inteligencia emocional y la satisfacción laboral. La inteligencia emocional de los trabajadores anticipa la satisfacción laboral R múltiplo = .332; R2 = .111, F (6, 370) = 7.66, p < .001, siendo las variables más significativas como predictores de inteligencia emocional, el Auto–coraje (? = .184, p= .001) y, la Empatía y el contagio emocional (? = .141, p = .016).Palabras claves: inteligencia emocional y satisfacción laboral.

scholarly journals Use of Artificial Neural Networks and Multiple Linear Regression Model for the Prediction of Dissolved Oxygen in Rivers: Case Study of Hydrographic Basin of River Nyando, Kenya

Complexity ◽  
2020 ◽  
Vol 2020 ◽  
pp. 1-23 ◽  
Author(s):  
Yashon O. Ouma ◽  
Clinton O. Okuku ◽  
Evalyne N. Njau
Keyword(s):  
Water Quality ◽  
Linear Regression ◽  
Dissolved Oxygen ◽  
Multiple Linear Regression ◽  
Pearson Correlation ◽  
Multiple Linear Regression Model ◽  
Water Quality Monitoring ◽  
Quality Parameters ◽  
Water Quality Parameters ◽  
Quality Monitoring

The process of predicting water quality over a catchment area is complex due to the inherently nonlinear interactions between the water quality parameters and their temporal and spatial variability. The empirical, conceptual, and physical distributed models for the simulation of hydrological interactions may not adequately represent the nonlinear dynamics in the process of water quality prediction, especially in watersheds with scarce water quality monitoring networks. To overcome the lack of data in water quality monitoring and prediction, this paper presents an approach based on the feedforward neural network (FNN) model for the simulation and prediction of dissolved oxygen (DO) in the Nyando River basin in Kenya. To understand the influence of the contributing factors to the DO variations, the model considered the inputs from the available water quality parameters (WQPs) including discharge, electrical conductivity (EC), pH, turbidity, temperature, total phosphates (TPs), and total nitrates (TNs) as the basin land-use and land-cover (LULC) percentages. The performance of the FNN model is compared with the multiple linear regression (MLR) model. For both FNN and MLR models, the use of the eight water quality parameters yielded the best DO prediction results with respective Pearson correlation coefficient R values of 0.8546 and 0.6199. In the model optimization, EC, TP, TN, pH, and temperature were most significant contributing water quality parameters with 85.5% in DO prediction. For both models, LULC gave the best results with successful prediction of DO at nearly 98% degree of accuracy, with the combination of LULC and the water quality parameters presenting the same degree of accuracy for both FNN and MLR models.

Sign in / Sign up

Export Citation Format

Share Document