scholarly journals Communicative Competence: The Fifth Report of the Social and Emotional Competence Test of Chinese Adolescents

2021 ◽  
Vol 9 (1) ◽  
pp. 1217-1221
Author(s):  
Jingzhong Huang ◽  
Qian Wang ◽  
Huanchun Chen ◽  
Xingyuan Gao
Keyword(s):  
Regression Analysis ◽  
Multiple Regression Analysis ◽  
Multiple Regression ◽  
Big Five ◽  
Communicative Competence ◽  
Evaluation Framework ◽  
Big Five Personality ◽  
Social And Emotional ◽  
Communicative Ability ◽  
The Impact

Communicative ability is embodied as "extroversion" in the Big Five Personality Test. Extroversion is an extremely important concept in personality psychology and a more common personality trait. Typically, it includes boldness, self-confidence, liveliness, enthusiasm, optimism, and being. In studying adolescents’ social and emotional abilities, the OECD designed a communication competence evaluation framework based on “extroversion” in the “Big Five Personality” model based on the physical and mental development characteristics of 10-year-old and 15-year-old adolescents. In the OECD evaluation framework, there are three sub-dimensions of communicative competence: happy group, courage and vitality. This study is based on the evaluation data of Suzhou City in China and presents the evaluation results of the communicative ability dimension of the youth social and emotional ability survey in various ways. The data results are presented in the following three parts. The first part uses descriptive statistics to illustrate the overall score of communicative ability, the correlation coefficient of communicative ability and other sub-abilities, and the differences of each ability in age, gender, urban and rural areas, and school categories. The second part uses factors that affect the ability to communicate through multiple regression analysis, including background variables, student variables, teacher variables, school variables, family variables, the impact of student happiness, courage and vitality. Finally, the third part uses multiple regression analysis of the 10-year-old and 15-year-old groups to determine the influence of happiness, courage and vitality on life outcome variables such as health and well-being.

scholarly journals Pengaruh big five personality dan adversity quotient terhadap psychological well-being santri pondok pesantren darul muttaqien

2019 ◽  
Vol 4 (2) ◽  
Author(s):  
Merlyna Revelia
Keyword(s):  
Regression Analysis ◽  
Multiple Regression Analysis ◽  
Multiple Regression ◽  
Big Five ◽  
Random Sampling ◽  
Simple Random Sampling ◽  
Well Being ◽  
Big Five Personality ◽  
Psychological Well Being ◽  
Independent Variable

Penelitian ini dilakukan untuk mengetahui pengaruh big five personality danadversity quotient terhadap psychological well-being. Sampel dalam penelitianini adalah santri pondok pesantren yang masih menetap di Pondok PesantrenDarul Muttaqien sebanyak 259 orang. Teknik sampling yang digunakan adalahprobability sampling (simple random sampling). Analisis data yang digunakanadalah Multiple Regression Analysis pada taraf signifikansi 0,05. Hasil penelitianmenunjukkan bahwa ada pengaruh positif yang signifikan big five personalitydan adversity quotient terhadap psychological well-being. Proporsi varians daripsychological well-being yang dijelaskan oleh semua independent variable adalahsebesar 0,193 atau 19,3%, sedangkan 80,7% sisanya dipengaruhi oleh variabellain diluar penelitian ini. Hasil uji hipotesis minor menunjukkan bahwa Dimensiopenness to experience dari variabel big five personality memiliki pengaruh yangpositif yang signifikan terhadap psychological well-being, dengan koefisien regresi0,224 dan signifikansi 0,046 (p<0,05). Sedangkan variabel-variabel lainnya tidakmemiliki pengaruh signifikan terhadap psychological well-being.

scholarly journals National Zakat Management Information System: E-Sercive Quality and Its Impact on National Zakat Collection

2019 ◽  
pp. 98-124
Author(s):  
Randi Swandaru
Keyword(s):  
Information System ◽  
Regression Analysis ◽  
Service Quality ◽  
Multiple Regression Analysis ◽  
Multiple Regression ◽  
Management Information System ◽  
Reliability And Validity ◽  
Management Information ◽  
The Impact

The purpose of this study is to examine the impact and the electronic service quality of the national zakat management information system (SIMBA) on the national zakat collection. This paper uses a multiple regression analysis in its explorative attempt to illustrate the impact of SIMBA implementation on the national zakat collection. It shows that SIMBA is positive and significantly impact the national zakat collection as well as the human development index that is used as a proxy for the human resource management quality of zakat institutions in the respective city. Nonetheless, the population is negative and significant to the zakat collection as endemic poverty and reluctance to pay zakat are indicated as the reasons. Moreover, this study has succeeded in adapting and conducting e-service quality survey to zakat information system realm. All the tests prove that the instrument in this study has a high degree of reliability and validity. The results show that some of the demographic factors significantly impact the perceived performance of SIMBA. Multiple regression analysis that is conducted in this study shows that e-service quality dimension is positive and significant towards SIMBA’ overall quality, perceived value, and loyalty intention. This study contributes to the zakat management system literature, especially in the impact of the national zakat information system, which is pivotal in enhancing zakat collection and poverty alleviation program funded by zakat.

scholarly journals Correlates of Creativity: An Association Between Creativity, Personality, and Intelligence

2021 ◽  
Author(s):  
Divya Sadana ◽  
Rajnish Kumar Gupta ◽  
Sanjeev Jain ◽  
S Senthil Kumaran ◽  
Jamuna Rajeswaran
Keyword(s):  
Regression Analysis ◽  
Healthy Volunteers ◽  
Multiple Regression Analysis ◽  
Multiple Regression ◽  
Big Five ◽  
Divergent Thinking ◽  
Fluid Intelligence ◽  
Emotional Stimuli ◽  
Raven's Standard Progressive Matrices ◽  
Age Range

The present study aimed to explore the association between creativity, intelligence, and personality. Sixty dextral healthy volunteers in the age range of 20-40 years were recruited for the study and administered tests for fluid intelligence (Raven’s Standard Progressive Matrices), personality (Big Five NEO-FFI), and divergent thinking (Wallach &amp; Kogan Creativity Test). Findings revealed that intelligence and openness to experience were significantly and positively correlated with fluency, flexibility, and originality dimensions of creativity. The multiple regression analysis suggested openness and fluid intelligence as significant predictors for creativity which entails that individuals who are more open to new experiences continue integrating new and diverse information to their subsisting repertoire of experiences, when intelligently assimilated with contextual and emotional stimuli could provide more varied and novel responses to divergent thinking tasks.

scholarly journals Moderating Effect of Mindfulness on the Influence of Stress on Depression According to the Level of Stress among University Students in South Korea

2020 ◽  
Vol 17 (18) ◽  
pp. 6634
Author(s):  
Kwang-Hi Park ◽  
Hyunlye Kim ◽  
Jaehee Kim
Keyword(s):  
Regression Analysis ◽  
University Students ◽  
South Korea ◽  
Multiple Regression Analysis ◽  
Multiple Regression ◽  
Life Stress ◽  
Mental Health Problems ◽  
Explanatory Power ◽  
Moderating Effect ◽  
The Impact

Stress and depression are representative of the mental health problems of university students worldwide. This cross-sectional study explored the moderating effect of mindfulness on the influence of stress on depression according to the degree of life stress. The participants were 738 university students in years 2–4 in five 4-year universities in South Korea. Depression was positively correlated with stress and negatively with mindfulness at a statistically significant level. In multiple regression analysis, stress was found to have an effect by increasing depression, and mindfulness by relieving depression. In the moderated multiple regression analysis, mindfulness had a moderating effect on the impact of stress on depression only in low-stress groups, showing that the interaction of stress with mindfulness was significantly negative (β = −0.11, t = −2.52, p = 0.012) and the inclusion of this interaction significantly increased the explanatory power for depression variation (F change 6.36, p = 0.012) in the full model. In conclusion, we suggest considering stress levels in the development of mindfulness-based intervention strategies to effectively manage the depression of university students.

The relation between personality and prejudice: a variable‐ and a person‐centred approach

2003 ◽  
Vol 17 (6) ◽  
pp. 449-464 ◽  
Author(s):  
Bo Ekehammar ◽  
Nazar Akrami
Keyword(s):  
Cluster Analysis ◽  
Regression Analysis ◽  
Correlation Analysis ◽  
Multiple Regression Analysis ◽  
Big Five ◽  
Racial Prejudice ◽  
Personality Types ◽  
Personality Factors ◽  
Big Five Personality ◽  
The Relationship

The relationship between Big Five personality (measured by the NEO‐PI) and prejudice was examined using a variable‐ and a person‐centred approach. Big Five scores were related to a generalized prejudice factor based on seven different prejudice scales (racial prejudice, sexism, etc). A correlation analysis disclosed that Openness to Experience and Agreeableness were significantly related to prejudice, and a multiple regression analysis showed that a variable‐centred approach displayed a substantial cross‐validated relationship between the five personality factors and prejudice. A cluster analysis of the Big Five profiles yielded, in line with previous research, three personality types, but this person‐centred approach showed a low cross‐validated relationship between personality and prejudice, where the overcontrolled type showed the highest prejudice and the undercontrolled the lowest, with the resilient falling in between. A head‐to‐head comparison sustained the conclusion that, based on people's Big Five personalities, their generalized prejudice could be predicted more accurately by the variable‐ than the person‐centred approach. Copyright © 2003 John Wiley & Sons, Ltd.

Perceived Frequency of role Conflict and Relationship Quality for Caregiving Daughters

1993 ◽  
Vol 17 (2) ◽  
pp. 207-221 ◽  
Author(s):  
Alexis J. Walker ◽  
Clara C. Pratt ◽  
Barbara Wood
Keyword(s):  
Regression Analysis ◽  
Relationship Quality ◽  
Multiple Regression Analysis ◽  
Multiple Regression ◽  
Role Conflict ◽  
Quality Of Relationships ◽  
The Impact

A role-conflict approach was employed to explore the impact of perceived frequency of conflict between caregiving and other obligations on the quality of relationships between daughters and their care-receiving mothers. Frequency of conflict between caregiving and responsibilities as a wife, mother, and paid and unpaid worker was assessed. Daughters reported relatively infrequent conflict between caregiving and other obligations. A multiple regression analysis revealed that daughters who reported frequent conflict between their obligations as caregivers and their obligations as wives had poorer relationships with their mothers. The findings emphasize the importance of a supportive spouse for married caregivers.

scholarly journals Organizational Commitment and Identification of Engineers as a Function of Organizational Climate

2005 ◽  
Vol 29 (1) ◽  
pp. 185-199
Author(s):  
R. T. Barth
Keyword(s):  
Regression Analysis ◽  
Organizational Commitment ◽  
Organizational Climate ◽  
Multiple Regression Analysis ◽  
Multiple Regression ◽  
Significant Proportion ◽  
Dependent Variables ◽  
The Impact

This article examines the impact of organizational climate components upon engineers' commitment to, and identification with, their employing organizations. The application of multiple regression analysis indicates that a significant proportion of the variance of the dependent variables can be accounted for by organizational climate scores.

scholarly journals THE IMPACT OF SOCIAL FACTORS ON INDIVIDUAL TAX COMPLIANCE

2019 ◽  
Vol 4 (3) ◽  
pp. 26-28
Author(s):  
Muthaloo Subramaniam
Keyword(s):  
Regression Analysis ◽  
Multiple Regression Analysis ◽  
Multiple Regression ◽  
Tax Compliance ◽  
Cultural Background ◽  
Assessment System ◽  
Research Approach ◽  
The Individual ◽  
The Impact ◽  
Compliance Behaviour

Tax revenue is one of important government’s sources of revenue and the taxation system vary across countries. Malaysia went through the paradigm shift by employing the self-assessment system (SAS) on 2001 where responsibility of calculating taxes had shifted successfully from the Inland Revenue Board of Malaysia (IRBM) to taxpayers. Since then, the voluntary tax compliance through SAS in Malaysia has been paying a greater role in meeting the statutory tax obligations and collection, effectively and efficiently. The study is aimed to examine the ethical, moral, religious and cultural background considerations on individual voluntary tax compliance in Malaysia by engaging quantitative research approach by utilising 200 valid questionnaire from respondents who are the individual taxpayer in Malaysia. Multiple regression analysis conducted to identify the effect of ethicality, morality, religiosity and cultural background on the individual voluntary tax compliance in Malaysia. Findings shows that all the variables have significant positive relationship, however the multiple regression analysis proven that ethicality and religiosity have strong significant effect on the individual tax compliance behaviour and on the other hand, morality and cultural background doesn’t have significant effect on individual tax compliance behaviour.

scholarly journals The impact of government debt on public finance stability in Lithuania

2019 ◽  
Author(s):  
Liucija Birškytė
Keyword(s):  
Public Finance ◽  
Regression Analysis ◽  
Multiple Regression Analysis ◽  
Multiple Regression ◽  
Financial Stability ◽  
Government Debt ◽  
Ordinary Least Squares ◽  
Small Sample ◽  
Series Data ◽  
The Impact

Purpose – though the global financial crisis is well behind us several EU countries continue to experience problems with public finance stability and need to cope with the consequences of high public debt. The purpose of the article is to find the relationship between government debt and of public finance stability in Lithuania. Research methodology – in order to achieve the aim of the article Financial Stability Index (FSI) for Lithuania has been created. It is based on theory and previous research. To find the determinants of FSI the multiple regression analysis model was specified and tested using Ordinary Least Squares (OLS). Findings – the results of multiple regression analysis indicate the government debt has a statistically significant impact on FSI, ceteris paribus. Other findings of the research show that profit or loss of the non-financial sector, foreign trade balance as well as a foreign direct investment are significant determinants of public finance stability. Research limitations – one of the limitations of this research is the small sample size that has an impact on the validity and generalizability of the results. Having a longer time-series data or panel data for more countries would improve the robustness and applicability of research results. Practical implications – the results of the research provide guidance to policymakers in the public finance area. Originality/Value − this paper contributes to the scarce literature on government debt and other determinants of financial stability in Lithuania

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