scholarly journals The role of financial awareness for viable and sustainable small-medium enterprises in Kwa-Zulu Natal, Durban

2021 ◽  
Author(s):  
◽  
Thabiso Sthembiso Msomi
Keyword(s):  
Regression Analysis ◽  
Regression Model ◽  
Financial Accounting ◽  
Access To Finance ◽  
Pearson’S Correlation ◽  
Absolute Value ◽  
Pearson's Correlation ◽  
R Value ◽  
Financial Awareness ◽  
The Relationship

The objective of this study is to examine financial awareness for viable and sustainable smallmedium-enterprises in Kwa-Zulu Natal, Durban. In this study, the researcher examined factors for SME sustainability and viability as they influence organisational survival. The specific objectives are outlined as follows: to examine the influence of financial awareness on SME viability and sustainability; to establish the relationship between financial accounting skills and sustainable SMEs; to establish the relationship between financial awareness and financial accounting skills; and to determine the Influences of budgeting and financial awareness on SME sustainability. The quantitative research method was adopted for this study and the purposive sampling technique was chosen to select the participants for this study. The study collected primary data from respondents who are owners of SMEs in the retail, construction, manufacturing sectors, etc. Data was analysed using SPSS. A total of 310 research questionnaires was administered and 304 research questionnaires were returned for analysis (giving a 98% response rate). A regression analysis and Pearson’s correlation analysis were conducted to address the specific objectives of the study. The study identified access to market, access to finance and financial accounting skills as the independent variables, while SME sustainability was the dependent variable of the regression model. The findings suggest that access to finance has the largest absolute value (0.425), which indicates that access to finance uniquely accounts for the larger proportion of the variance in the regression model. The outcome of Pearson’s correlation shows moderate correlation (r value is 0.531) between financial accounting skills and sustainable SMEs. Moreover, there was a weak correlation (r value is 0.457) between financial awareness and financial accounting skills. The outcome of the regression analysis suggests that budgeting has the largest absolute value (0.372), which indicates that budgeting uniquely accounts for the largest proportion of the variance in the regression analysis. The Exploratory Factor Analysis revealed nine factors that are significant to ensure sustainability and viability. The implication of the outcome is that access to finance and budgeting accounts for SME sustainability. Based on the findings from this research, it is recommended that SMEs owners should pay much attention to access to finance and budgeting in running their businesses. Again, employee performance reviews contribute to enhancing the financial accounting skills and knowledge of staff of SMEs as well. They should seek expert or professional advice before taking a loan and they should avoid loan sharks as the interest charged by loan sharks are very high which may lead to potential debt trap. It is suggested that Government agencies should help SMEs to market their products and keep their businesses viable.

Relationship amongst ResearchGate altmetric indicators and Scopus bibliometric indicators

2015 ◽  
Vol 116 (9/10) ◽  
pp. 564-577 ◽  
Author(s):  
RISHABH SHRIVASTAVA ◽  
Preeti Mahajan
Keyword(s):  
Sample Size ◽  
Correlation Coefficients ◽  
Strong Positive Correlation ◽  
Bibliometric Indicators ◽  
Pearson’S Correlation ◽  
Content Type ◽  
Positive Correlation ◽  
Pearson's Correlation ◽  
Different Characteristics ◽  
The Relationship

Purpose – The purpose of this paper is twofold. First, the study aims to investigate the relationship between the altmetric indicators from ResearchGate (RG) and the bibliometric indicators from the Scopus database. Second, the study seeks to examine the relationship amongst the RG altmetric indicators themselves. RG is a rich source of altmetric indicators such as Citations, RGScore, Impact Points, Profile Views, Publication Views, etc. Design/methodology/approach – For establishing whether RG metrics showed the same results as the established sources of metrics, Pearson’s correlation coefficients were calculated between the metrics provided by RG and the metrics obtained from Scopus. Pearson’s correlation coefficients were also calculated for the metrics provided by RG. The data were collected by visiting the profile pages of all the members who had an account in RG under the Department of Physics, Panjab University, Chandigarh (India). Findings – The study showed that most of the RG metrics showed strong positive correlation with the Scopus metrics, except for RGScore (RG) and Citations (Scopus), which showed moderate positive correlation. It was also found that the RG metrics showed moderate to strong positive correlation amongst each other. Research limitations/implications – The limitation of this study is that more and more scientists and researchers may join RG in the future, therefore the data may change. The study focuses on the members who had an account in RG under the Department of Physics, Panjab University, Chandigarh (India). Perhaps further studies can be conducted by increasing the sample size and by taking a different sample size having different characteristics. Originality/value – Being an emerging field, not much has been conducted in the area of altmetrics. Very few studies have been conducted on the reach of academic social networks like RG and their validity as sources of altmetric indicators like RGScore, Impact Points, etc. The findings offer insights to the question whether RG can be used as an alternative to traditional sources of bibliometric indicators, especially with reference to a rapidly developing country such as India.

Possibilities of Positive Psychotherapy in the Formation of Hardiness

2021 ◽  
Vol 1 (2) ◽  
pp. 22-26
Author(s):  
Olena Chykhantsova ◽  
Olga Kuprieieva
Keyword(s):  
Regression Analysis ◽  
Family Therapy ◽  
Correlation Coefficient ◽  
Prognostic Indicators ◽  
Statistical Relationship ◽  
Positive Psychotherapy ◽  
Pearson’S Correlation Coefficient ◽  
Pearson's Correlation ◽  
Pearson's Correlation Coefficient ◽  
The Relationship

rapy in the formation of hardiness and to delve deeper into the relationship between hardiness and actual capabilities of the person. Data were collected from 380 people from Ukraine, aged between 19 and 62. The respondents completed the Wiesbaden Inventory for Positive Psychotherapy and Family Therapy (WIPPF 2.0), which was developed by N. Peseschkian in collaboration with H. Deidenbach and the Maddi Hardiness Scale. We used Pearson’s correlation coefficient to measure the statistical relationship between hardiness and personal capabilities. Also, we used regression analysis to determine the prognostic indicators for hardiness. As a result of our research, we found that the capabilities of contact, trust, hope, love, achievement, and reliability have the greatest influence on hardiness

The relationship between transformational leadership and job satisfaction in selected colleges at King Khalid University, Abha, Saudi Arabia

2019 ◽  
Author(s):  
Esther Iriagbonse Eroje ◽  
Erasmus Kofi Appiah ◽  
Alezi Braimoh Ifindon Eroje ◽  
MEER ZAKIRULLA ◽  
Jimly James Kunjappu ◽  
...  
Keyword(s):  
Job Satisfaction ◽  
Transformational Leadership ◽  
Saudi Arabia ◽  
Regression Analysis ◽  
Linear Regression ◽  
Linear Regression Analysis ◽  
Multiple Linear Regression Analysis ◽  
Leadership Behaviour ◽  
R Value ◽  
The Relationship

Abstract Background Leadership has become the key issues in managing the organization, the emerging business and economic environments have forced organizations to be flexible, adaptive, entrepreneurial and innovative to meet changing demand of the present-day business environment. The purpose of the present study is to examine the relationship between the various dimensions of transformational leadership (predictor variable) and their effects on employees’ job satisfaction (criterion variable) in three selected Colleges (Medicine, Dentistry and Science) in King Khalid University. Methods The methodology employed in this study was a quantitative and cross-sectional correlational survey type of design Data collection was done using a questionnaire design that was directly administered to the participants. 250 questionnaires were sent to the participating three colleges (Medicine, Dentistry and Sciences). Results The findings of the multiple linear regression analysis indicated a weak positive association between transformational leadership behaviour and employees’ job satisfaction (R-value 0.386). The multiple linear regression analysis signifies a weak positive correlation between transformational leadership behaviour and job satisfaction (R-value 0.386). A p-value in Spearman’s rho that is less than the 0.05 level of significance indicated that there is a significant level of relationship which exists between transformational leadership behaviour and job satisfaction. Conclusions This study concluded that transformational leadership behaviour and its four dimensions showed a weak positive correlation with a statistically significant level of relationship between transformational leadership behaviour and employees’ job satisfaction among three selected colleges (Medicine, Dentistry and Sciences) in King Khalid University, Abha, Saudi Arabia.

Revisiting the Relationship Between Marketing Education and Marketing Career Success

2017 ◽  
Vol 39 (2) ◽  
pp. 109-123 ◽  
Author(s):  
Donald R. Bacon
Keyword(s):  
Regression Analysis ◽  
Regression Model ◽  
Career Success ◽  
Academic Major ◽  
Marketing Education ◽  
Classic Article ◽  
Using Data ◽  
The Relationship

In a replication of a classic article by Hunt, Chonko, and Wood, regression analysis was conducted using data from a sample of 864 marketing professionals. In contrast to Hunt, Chonko, and Wood, an undergraduate degree in marketing was positively related to income in marketing jobs, but surprisingly, respondents with some nonmarketing majors earned about the same as marketing majors in marketing jobs. Satisfaction with a marketing career was not significantly related to academic major. The income regression model explained 30% of the variance in marketing income, which is an improvement over the earlier study, but also indicates that most of the variance in marketing success is not explained by education. Implications are discussed.

Perfectionism is related with academic stress in medical student

2017 ◽  
Vol 41 (S1) ◽  
pp. S690-S690 ◽  
Author(s):  
C. Kim ◽  
C. Seockhoon ◽  
L. Suyeon ◽  
Y. Soyoun ◽  
P. Boram
Keyword(s):  
Logistic Regression ◽  
Regression Analysis ◽  
Medical Student ◽  
Medical Students ◽  
Logistic Regression Analysis ◽  
Stress Level ◽  
Academic Stress ◽  
Pearson’S Correlation ◽  
Pearson's Correlation ◽  
High Level

ObjectiveEspecially medical students set high academic standard, and try hard to achieve because they are requested to studying medicine perfectly. Multidimensional perfectionism scale (MPS) is used to measure perfectionism in medical student. The purpose of the present study was to investigate the relationships between stress and various factors including perfectionism.MethodsWe enrolled 159 medical students from University of Ulsan college of Medicine. We used the Medical Stress scale (MSS), the Multidimensional Perfectionism Scale(MPS), the patient health questionnaire-9(PHQ-9), the academic motivation scale (AMS), the insomnia severity scale(ISS), and The revised neo personality inventory.ResultTo analyze data, we used Pearson's correlation and logistic regression analysis. In the first step- Pearson's correlation analysis, a motivation, PHQ-9, ISI, perfectionism and neuroticism traits of NEO-PI significantly correlated with stress level (P < 0.001). In the second step, logistic regression analysis indicated that students who feel high level of academic stress (MSS score ≥ 28) are also related to a motivation, insomnia, perfectionism and neuroticism traits of NEO-PI (R2 = 0.389, P < 0.05).ConclusionStudent who tend to be perfect feel more academic stress. The high level of stress related to insomnia and a motivation in medical student. Moreover, personality trait also can influences their psychological stress level.Disclosure of interestThe authors have not supplied their declaration of competing interest.

Explorations in statistics: regression

2011 ◽  
Vol 35 (4) ◽  
pp. 347-352 ◽  
Author(s):  
Douglas Curran-Everett
Keyword(s):  
Regression Analysis ◽  
Regression Model ◽  
Statistical Regression ◽  
Essential Component ◽  
The Relationship ◽  
Residual Plots

Learning about statistics is a lot like learning about science: the learning is more meaningful if you can actively explore. This seventh installment of Explorations in Statistics explores regression, a technique that estimates the nature of the relationship between two things for which we may only surmise a mechanistic or predictive connection. Regression helps us answer three questions: does some variable Y depend on another variable X; if so, what is the nature of the relationship between Y and X; and for some value of X, what value of Y do we predict? Residual plots are an essential component of a thorough regression analysis: they help us decide if our statistical regression model of the relationship between Y and X is appropriate.

scholarly journals The Effect of Phase on Paper Thickness Optimization in the Paper Recycling Process Using Recycling Machine

2020 ◽  
Vol 2 (1) ◽  
pp. 19
Author(s):  
Fauzhia Rahmasari
Keyword(s):  
Regression Analysis ◽  
Linear Regression ◽  
Regression Model ◽  
Multiple Linear Regression ◽  
Multiple Linear Regression Model ◽  
Thickness Optimization ◽  
Recycling Process ◽  
Paper Recycling ◽  
Independent Variables ◽  
The Relationship

AbstractEfforts to manage the recycling of paper waste into new paper have been carried out in recent times. It takes a tool or machine that is able to effectively and efficiently recycle used paper into new paper. There are several factors that affect the effectiveness of paper recycling machines, one of which is the paper thickness. One method that can be used to analyze the factors that influence paper thickness in the paper production process using a paper recycling machine is regression analysis. Regression analysis is data analysis techniques in statistics that is used to examine the relationship between several independent variables and dependent variable. However, if we want to examine the relationship or effect of two or more independent variables on a dependent variable, the regression model used is a multiple linear regression model. This study purposes are to analyze the factors that influence paper thickness using a paper recycling machine using multiple linear regression and to inform the modeling about that. The results showed that the factors that affect the paper thickness optimization are destruction and press phase. AbstractUpaya pengelolaan daur ulang sampah kertas menjadi kertas baru telah banyak dilakukan pada jaman sekarang. Dibutuhkan suatu alat atau mesin yang mampu secara efektif dan efisien dalam mendaur ulang kertas bekas menjadi kertas baru. Terdapat beberapa faktor yang mempengaruhi tingkat efektifitas mesin daur ulang kertas diantaranya adalah ketebalan kertas. Salah satu metode yang dapat digunakan untuk menganalisis faktor-faktor yang mempengaruhi ketebalan kertas pada proses produksi kertas menggunakan mesin daur ulang kertas adalah analisis regresi. Analisis regresi merupakan teknik analisis data dalam statistika yang digunakan untuk mengkaji hubungan antara beberapa variabel bebas dengan variabel tidak bebas. Namun, jika ingin mengkaji hubungan atau pengaruh dua atau lebih variabel bebas terhadap satu variabel tidak bebas, maka model regresi yang digunakan adalah model regresi linier berganda. Tujuan dalam penelitian ini yaitu menganalisis faktor-faktor yang mempengaruhi ketebalan kertas menggunakan mesin daur ulang kertas menggunakan regresi linier berganda serta memberikan informasi pemodelan mengenai hal tersebut. Hasil penelitian menunjukkan bahwa faktor yang mempengaruhi keoptimalan ketebalan kertas adalah fase penghancuran dan pemadatan kertas

scholarly journals Factor Analysis Approach to Classify COVID-19 Datasets in Several Regions

2021 ◽  
Author(s):  
Mohammad Reza Mahmoudi ◽  
Dumitru Baleanu ◽  
Shahab S. Band ◽  
Amir Mosavi
Keyword(s):  
Factor Analysis ◽  
Analysis Approach ◽  
Pearson’S Correlation ◽  
Pearson's Correlation ◽  
The Relationship

The aim of this research is to investigate the relationship between the counts of cases with Covid-19 and the deaths due to it in seven countries that are severely affected by the pandemic. First, the Pearson’s correlation is used to determine the relationships among these countries. Then, the factor analysis is applied to categorize these countries based on their relationships.

Regression Analysis

2018 ◽  
pp. 170-205
Author(s):  
Quan Li
Keyword(s):  
Economic Growth ◽  
Regression Analysis ◽  
Statistical Model ◽  
Regression Model ◽  
Ordinary Least Squares ◽  
Theory And Practice ◽  
Model Fit ◽  
Theoretical Argument ◽  
Markov Theorem ◽  
The Relationship

This chapter teaches how to use R to conduct regression analysis to answer the question: Does trade promote economic growth? It demonstrates how to specify a statistical model from a theoretical argument, prepare data, estimate and interpret the statistical model, and use the estimated results to make inferences and answer the question of interest. More specifically, it discusses the logic of regression analysis, the relationship between population and sample regression models, how to estimate a regression model in theory and practice, the estimation of sample regression model using OLS (ordinary least squares), the interpretation of estimation results, the statistical inference in regression analysis using hypothesis testing and confidence interval, the types of sum of squares and overall model fit, and how to report the model results. The validity of regression analysis is contingent upon the assumptions of the Gauss-Markov theorem being met.

scholarly journals The relationship between psychological health and spiritual wellbeing in Iranian stoma patients

2019 ◽  
Vol 17 (Sup5) ◽  
pp. S18-S22
Author(s):  
Hossein Rafiei ◽  
Kazem Hosseinzadeh ◽  
Mohammad Javad Hoseinabadi-Farahani ◽  
Ladan Naseh ◽  
Ali Razaghpoor ◽  
...  
Keyword(s):  
Psychological Health ◽  
Sampling Method ◽  
Psychological Problems ◽  
Spiritual Wellbeing ◽  
Pearson’S Correlation ◽  
Holistic Nursing ◽  
Correlation Test ◽  
Pearson's Correlation ◽  
Convenience Sampling ◽  
The Relationship

Aim: The aim of this study was to investigate the relationship between psychological problems and spiritual wellbeing in Iranian stoma patients. Methods: This descriptive-analytic study was conducted on 70 stoma patients who were enrolled through a convenience sampling method. Depression, anxiety and stress among patients were analysed using Depression, Anxiety and Stress Scale (DASS-21) questionnaire and their spiritual wellbeing was analysed using the Spiritual Wellbeing Scale (SWS). Pearson's correlation test was used to determine the relationship between depression, stress and anxiety with the total spiritual wellbeing and its dimensions. Results: The results of Pearson's correlation test showed that there was an inverse and significant correlation between stress (RR -0.728; P<0.001), anxiety (RR -0.721; P<0.001) and depression (RR -0.740; P<0.001) with the total score for spiritual wellbeing. Conclusion: These results demonstrated that there is a relationship between psychological problems and spiritual wellbeing in ostomates. That is, patients with higher spiritual wellbeing reported lower levels of psychological problems. The results of the present study can be used for holistic nursing care in these patients.

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