scholarly journals Influence of Iso 9001: 2015 Procurement Quality Management on Performance of Manufacturing Firms in Kenya

2020 ◽  
Vol 4 (3) ◽  
pp. 1
Author(s):  
Pauline Nyokabi Njuguna ◽  
Dr. Patrick K. Ngugi
Keyword(s):  
Correlation Analysis ◽  
Correlation Coefficient ◽  
Positive Relationship ◽  
Pearson Correlation ◽  
Manufacturing Firms ◽  
Iso 9001 ◽  
Pearson Correlation Coefficient ◽  
Significance Level ◽  
And Performance ◽  
The Relationship

Purpose: The overall objective of this study was to examine the influence of procurement ISO 9001: 2015 procurement quality management on performance of manufacturing firms in Kenya, with an aim of making recommendations on proper use of ISO 9001: 2015 procurement quality management in the manufacturing sector.Methodology: This research study adopted a descriptive research design.The researcher preferred this method because it allowed an in-depth study of the subject. To gather data, structured questionnaire was used to collect data. The study population was the manufacturing firms in Nairobi; the respondents were the designated heads of procurement of these firms. 200 heads of procurement were selected using stratified random sampling. Once collected, data was analyzed using descriptive and inferential statistics.Quantitative data was analyzed using multiple regression analysis. The qualitative data generated was analyzed by use of Statistical Package of Social Sciences (SPSS) version 20Results and conclusion: The correlation analysis to determine the relationship between continuous improvement and performance of manufacturing firms in Kenya, Pearson correlation coefficient computed and tested at 5% significance level. The results indicate that there is a positive relationship (r=0.387) between and continuous improvement performance of manufacturing firms in Kenya. In addition, the researcher found the relationship to be statistically significant at 5% level (p=0.000, <0.05). The correlation analysis to determine the relationship between supplier management and performance of manufacturing firms in Kenya, Pearson correlation coefficient computed and tested at 5% significance level. The results indicate that there is a positive relationship (r=0.598) supplier management and performance of manufacturing firms in Kenya. In addition, the researcher found the relationship to be statistically significant at 5% level (p=0.000, <0.05). The correlation analysis to determine the relationship between customer focus and performance of manufacturing firms in Kenya, Pearson correlation coefficient computed and tested at 5% significance level. The results indicate that there is a positive relationship (r= 0.690) between customer focus and performance of manufacturing firms in Kenya. In addition, the researcher found the relationship to be statistically significant at 5% level (p=0.000, <0.05).Policy recommendation: Finally, the study recommended that manufacturing firms should embrace procurement total quality practices so as to improve their performance and further researches should to be carried out in other institutions to find out if the same results can be obtained.

scholarly journals Emotional Intelligence and Transformational Leadership Among Managers in Manufacturing Companies

2018 ◽  
Vol 7 (3.21) ◽  
pp. 1 ◽  
Author(s):  
Shiau Wei Chan ◽  
Siti Sarah Omar ◽  
Ramlan R ◽  
Md. Fauzi Ahmad ◽  
Izzuddin Zaman ◽  
...  
Keyword(s):  
Emotional Intelligence ◽  
Transformational Leadership ◽  
Correlation Coefficient ◽  
Quantitative Research ◽  
Positive Relationship ◽  
Pearson Correlation ◽  
Pearson Correlation Coefficient ◽  
Survey Questionnaire ◽  
Manufacturing Companies ◽  
The Relationship

Despite the fact that numerous studies have been conducted on Emotional Intelligence (EI) and Transformational Leadership (TL), the relationship between EI and TL is yet to be identified. The purpose of this research is to determine the relationship between EI and TL skills among managers in manufacturing companies in Batu Pahat. In this research, a survey questionnaire was administered to fifty managers. Pearson correlation coefficient analysis was employed to test the correlation among variables, including Perceiving Emotion, Facilitating Thought, Understanding Emotion, and Managing Emotion with TL skills. The outcome was that a positive relationship was found between EI and TL skills. This quantitative research is important in providing management with better information regarding the relationship between EI and TL skills among managers so that managers can learn and improve their functions.  

scholarly journals The Relationship of Positive Thinking and Forgiving Behavior in Student’s Friendship

2020 ◽  
Vol 5 (1) ◽  
pp. 43
Author(s):  
Reza Fahmi ◽  
Dila Fulnandra ◽  
Prima Aswirna
Keyword(s):  
Correlation Analysis ◽  
Correlation Coefficient ◽  
Pearson Correlation ◽  
Positive Thinking ◽  
Pearson Correlation Coefficient ◽  
Low Level ◽  
Pearson Correlation Analysis ◽  
Psychological Scales ◽  
Relationship Of ◽  
The Relationship

The objective of this study was to determine the category of positive thinking and forgiving behavior among the students in their friendship. This research applied a quantitative approach where the data were analyzed by using Pearson Correlation analysis. The subjects of this research were 65 students from 78 students in the populations. The data were collected by using the instrument as regards psychological scales, a modification of the Likert scale. It measured the level of positive thinking forgiving behavior. The results of this study revealed that the boarding school's students at Lubuk Lintah have a low level of positive thinking. Furthermore, the students who live in Heler dorm at LubukLintahalso have a low level of forgiving behavior in which the significance value of positive thinking and forgiving behavior was 0,000 with a Pearson Correlation coefficient of 0.666

scholarly journals The unbiased estimation of r2 between two sets of noisy neural responses

2021 ◽  
Author(s):  
Dean Pospisil ◽  
Wyeth A Bair
Keyword(s):  
Correlation Coefficient ◽  
Pearson Correlation ◽  
Unbiased Estimation ◽  
Pearson Correlation Coefficient ◽  
Neural Responses ◽  
Neural Data ◽  
Tuning Curves ◽  
The Relationship

The Pearson correlation coefficient squared, r2, is often used in the analysis of neural data to estimate the relationship between neural tuning curves. Yet this metric is biased by trial-to-trial variability: as trial-to-trial variability increases, measured correlation decreases. Major lines of research are confounded by this bias, including the study of invariance of neural tuning across conditions and the similarity of tuning across neurons. To address this, we extend the estimator, r̂2ER, developed for estimating model-to-neuron correlation to the neuron-to-neuron case. We compare the estimator to a prior method developed by Spearman, commonly used in other fields but widely overlooked in neuroscience, and find that our method has less bias. We then apply our estimator to the study of two forms of invariance and demonstrate how it avoids drastic confounds introduced by trial-to-trial variability.

scholarly journals Influences of Participation Motivation and Satisfaction of Nursing Students on Continuance Willingness of Voluntary Activities

2018 ◽  
Vol 24 (4) ◽  
pp. 415-423
Author(s):  
Ya Ki Yang
Keyword(s):  
Nursing Students ◽  
Correlation Coefficient ◽  
Pearson Correlation ◽  
Educational Programs ◽  
Descriptive Statistics ◽  
Pearson Correlation Coefficient ◽  
Factors Influencing ◽  
Participation Motivation ◽  
Positive Correlations ◽  
The Relationship

Purpose: This study was done to examine the relationship between participation motivation, satisfaction and continuance willingness of voluntary activities of nursing students, and to identify factors influencing continuance willingness of voluntary activities. Methods: The research participants were 175 nursing students in the nursing departments of 3 universities located in G city and J province in Korea. Data were analyzed using descriptive statistics, t-test, ANOVA, Pearson correlation coefficient and multiple regression. Results: Participants' scores for participation motivation, satisfaction and continuance willingness of voluntary activities were $3.24{pm}0.76$, $3.11{pm}0.83$ and $3.03{pm}0.85$ respectively. Participation motivation and satisfaction of voluntary activities had positive correlations. Satisfaction and continuance willingness of voluntary activities had positive correlations. Factors influencing nursing students' continuance willingness of voluntary activities included participation motivation and satisfaction of voluntary activities. And these variables explained 74% of the variance in continuance willingness of voluntary activities. Conclusion: The findings show that development and application of educational programs to increase participation motivation and satisfaction of voluntary activities are important and will improve nursing students' continuance willingness of voluntary activities.

THE RELATIONSHIP BETWEEN EMOTIONAL INTELLIGENCE AND LEADERSHIP IN STUDENTS

2021 ◽  
Vol 66 (1) ◽  
pp. 62-68
Author(s):  
K.M. Mukusheva ◽  
◽  
N.S. Tlenchieva ◽  
Keyword(s):  
Emotional Intelligence ◽  
Statistical Analysis ◽  
Correlation Coefficient ◽  
Pearson Correlation ◽  
Leadership Skills ◽  
Pearson Correlation Coefficient ◽  
Professional Orientation ◽  
Experimental Part ◽  
Psychological Science ◽  
The Relationship

This article examines emotional intelligence and its relationship with leadership, one of the most striking, unusual phenomena in modern psychological science. Emotional intelligence and leadership skills are important for students, as this affects such important aspects of the personality as future life, professional orientation, and the communication field. The article is based on the works of Daniel Goleman on the relationship between emotional intelligence and a person's desire to achieve their goals and is devoted to the study of these theories on the example of students in Kazakhstan. The article provides a scientific overview of the concepts of leadership and emotional intelligence in general and presents the results of empirical research conducted using special techniques. The Pearson correlation coefficient was used for summing up the results of the study and mathematical and statistical analysis of the relationship. The experimental part of this work is of practical value.

The Relationship Between COVID-19 (Cases and Deaths) and Stock Markets

2021 ◽  
pp. 323-341
Author(s):  
Paulo Ferreira ◽  
Éder Pereira
Keyword(s):  
Shock Waves ◽  
Dynamic Analysis ◽  
Correlation Coefficient ◽  
Stock Markets ◽  
Pearson Correlation ◽  
Pearson Correlation Coefficient ◽  
The World ◽  
Negative Effect ◽  
The Relationship ◽  
Second Wave

The numbers of COVID-19 increase daily, both confirmed cases and deaths. All over the world, shock waves are felt with impacts on economies in general and the financial sector in particular. Aiming to assess the relationship between confirmed cases and deaths and the behaviour of stock markets, the authors perform a dynamic analysis, based on the Pearson correlation coefficient, for 10 of the most affected countries in the world. As expected, they find evidence that the number of COVID-19 cases had a negative effect on stock markets, and that the current second wave is penalizing them. They also find that deaths have a more relevant impact than the number of confirmed cases.

scholarly journals Relação entre duas equações do índice de massa corporal em mulheres / Relationship between two equations of the body mass index in women

2018 ◽  
Vol 7 (1) ◽  
pp. 72
Author(s):  
William Cordeiro de Souza ◽  
André De Camargo Smolarek ◽  
Denise Barth Rebesco ◽  
Marcos Tadeu Grzelczak ◽  
Valderi Abreu de Lima ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Data Analysis ◽  
Body Mass ◽  
Pearson Correlation ◽  
The Body ◽  
Descriptive Statistics ◽  
Pearson Correlation Coefficient ◽  
Anthropometric Measures ◽  
Significance Level ◽  
The Relationship

Objetivo: Relacionar duas equações do método antropométrico do Índice de Massa Corporal (IMC) proposto por Quételet e Trefethen em mulheres. Métodos: A amostra foi constituída por 222 mulheres do município de Canoinhas/SC, com idades entre 18 e 49 anos. Para as medidas antropométricas foi avaliada a massa corporal e a estatura. Por meio dos dados obtidos foi calculado o IMC utilizando às fórmulas: Quételet= (kg/m2) e Trefethen= (1,3*kg/m2,5). Na análise dos dados realizou-se a estatística descritiva, o fator de correlação de Pearson (r) foi realizado para verificar a relação entre os métodos e o teste de Bland-Altman foi utilizado para verificar a concordância entre as equações. Foi adotado um nível de significância de p<0,05. Resultados: Foi encontrada uma relação muito forte e significante (r= 0,98; p= <0,001) com intervalo de confiança (IC 95% = 0,93-0,99) e concordância entre as equações do IMC. Conclusão: A equação do IMC de Trefethen apresentou associação muito forte e significante com a equação IMC de Quételet em mulheres.AbstractObjective: To relate two equations of the anthropometric method of the Body Mass Index (BMI) proposed by Quételet and Trefethen in women. Methods: The sample consisted of 222 women from the municipality of Canoinhas/SC, aged between 18 and 49 years. For the anthropometric measures body mass and height were evaluated. By means of the data obtained, the BMI was calculated using the formulas: Quételet= (kg/m2) and Trefethen= (1,3*kg/m2,5). In the data analysis, descriptive statistics were performed, the Pearson correlation coefficient (r) was performed to verify the relationship between the methods and the Bland-Altman test was used to verify the concordance between the equations. A significance level of p <0.05 was adopted. Results: A very strong and significant relationship was found (r= 0.98, p= <0.001) with a confidence interval (95% CI= 0.93-0.99) and concordance between the BMI equations. Conclusion: The BMI equation of Trefethen showed a very strong and significant association with the BMI equation of Quételet in women.

scholarly journals The Relationship between Leadership Behavior of Principal and Organizational Culture toward Teachers Work Discipline of Public Vocational High Schools of South Tangerang

Ta dib ◽  
2016 ◽  
Vol 21 (1) ◽  
pp. 101
Author(s):  
Mumammad Dahlan R ◽  
Sari Purwaningrum
Keyword(s):  
High School ◽  
Organizational Culture ◽  
Correlation Analysis ◽  
Positive Relationship ◽  
Leadership Behavior ◽  
Pearson Correlation ◽  
Regression Line ◽  
Field Research ◽  
Vocational High School ◽  
The Relationship

The relationship between leadership behavior of principal and the organizational culture with teachers work discipline of Public Vocational High School of South Tangerang. A field research is aimed to find out the relationship between behavior leadership of principal and organizational culture with teacher’s work discipline of Public Vocational School of South Tangerang. The result of the research shows that: First, there is a positive relationship between the behavior leadership of principal with teacher’s work discipline. The result of correlation analysis between two research variables is gained that the relationship between behavior leadership of principal and teacher’s work discipline which is calculated by Pearson correlation is gained correlation coefficient value was 0.533. The value of determination coefficient in this analysis is gained 0.284, its means 28.4%. The variable of teacher’s work discipline can be explained from behavior leadership variable. The regression line is Ŷ = 75,735 + 0,670 X1. Second, there is a positive relationship between organizational cultures to teacher’s work discipline. The result of correlation analysis between to research variables is gained that the value of the relationship between organizational culture and teacher’s work discipline is calculated by Pearson correlation, and it is gained coefficient of correlation value 0.487 as many. The coefficient of determination’s value in this analysis is gained 0.238 which means 23.8 %. The variable of teacher’s work discipline can be explained by the variable of organizational culture. The regression line is Ŷ = 75,792 + 0,592 X2. Third, there is a positive relationship between behavior leadership of principal and organizational culture simultaneously to teacher’s work discipline is calculated by Pearson correlation and its gained coefficient correlation value 0.624 as many, then it is gained the determination of coefficient’s value 0.390 as many, which means 39 % the variable of organizational culture. The regression line is Ŷ = 47,812 + 0,522 X1 + 0,402 X2. Based on the result of the research we may say that behavior leadership of principal (X1), organizational culture (X2) have the relationship with teacher’s work discipline (Y). According to general criteria there is a relationship between behavior leadership of principal and organizational culture towards teacher’s work discipline at Public Vocational High School of South Tangerang. Hubungan antara perilaku kepemimpinan kepala sekolah dan budaya organisasi dengan disiplin kerja guru dari SMK Tangerang Selatan. Sebuah penelitian lapangan ini bertujuan untuk mengetahui hubungan antara kepemimpinan perilaku kepala sekolah dan budaya organisasi dengan disiplin kerja guru dari SMK Tangerang Selatan. Hasil penelitian menunjukkan bahwa: Pertama, terdapat hubungan positif antara perilaku kepemimpinan kepala sekolah dengan disiplin kerja guru. Hasil analisis korelasi antara dua variabel penelitian diperoleh bahwa hubungan antara kepemimpinan perilaku kepala sekolah dan disiplin kerja guru yang dihitung dengan korelasi Pearson diperoleh nilai koefisien korelasi adalah 0,533. Nilai koefisien determinasi dalam analisis ini diperoleh 0,284, yang berarti 28,4%. Variabel disiplin kerja guru dapat dijelaskan dari variabel perilaku kepemimpinan. Garis regresi Ŷ = 75.735 + 0.670 X1. Kedua, ada hubungan positif antara budaya organisasi dengan disiplin kerja guru. Hasil analisis korelasi antara variabel penelitian diperoleh bahwa nilai hubungan antara budaya organisasi dan disiplin kerja guru dihitung dengan korelasi Pearson, dan itu diperoleh koefisien nilai korelasi sebanyak 0,487. Koefisien determinasi dalam analisis ini diperoleh 0,238 yang berarti 23,8%. Variabel disiplin kerja guru dapat dijelaskan oleh variabel budaya organisasi. Garis regresi Ŷ = 75.792 + 0.592 X2. Ketiga, ada hubungan positif antara perilaku kepemimpinan kepala sekolah dan budaya organisasi secara bersamaan dengan disiplin kerja guru dihitung dengan korelasi Pearson dan nilai koefisien korelasi yang diperoleh sebanyak 0,624, maka diperoleh penentuan nilai koefisien ini sebanyak 0.390, yang berarti 39% variabel budaya organisasi. Garis regresi Ŷ = 47.812 + 0.522 X1 + 0.402 X2. Berdasarkan hasil penelitian kita dapat dikatakan bahwa prinsip perilaku kepemimpinan (X1), budaya organisasi (X2) memiliki hubungan dengan disiplin kerja guru (Y). Menurut kriteria umum ada hubungan antara kepemimpinan perilaku kepala sekolah dan budaya organisasi terhadap disiplin kerja guru di SMK Tangerang Selatan.

scholarly journals Sezonowe zróżnicowanie temperatury wody na przykładzie wybranych rzek nizinnych Mazowsza = Seasonal differentiation of water temperature on the example of lowland Mazovian rivers

2020 ◽  
Vol 92 (3) ◽  
pp. 391-408
Author(s):  
Maksym Łaszewski
Keyword(s):  
Water Temperature ◽  
Correlation Coefficient ◽  
Air Temperature ◽  
Pearson Correlation ◽  
Thermal Conditions ◽  
Statistical Distribution ◽  
Maximum Temperature ◽  
Pearson Correlation Coefficient ◽  
The Relationship ◽  
Ward Method

Thermal regime has a critical impact on the lotic environment, as maximum temperature determines the boundaries of the occurrence of aquatic species, seasonal and diurnal water temperature variations affect their bioenergetics, while the timing of specific water temperature values during the year is important in the context of spawning and migrations. However, despite the great importance of water temperature studies in the context of environmental management and fisheries, as well as the development of accurate measurement techniques, such investigations have received relatively limited attention in Poland. The current study attempted to examine the seasonal differentiation of water temperature in lowland rivers. For this purpose, water temperature was recorded from the 1st of May 2015 to the 30th of April 2019 with a temporal resolution of 30-minutes. Digital temperature reorders used to make the measurements were distributed across six sites in Jeziorka, Świder and Utrata catchments located on the Mazovian Lowland and the Southern Podlachia Lowland near Warsaw. The hydrometeorological background of the water temperature monitoring was determined on the basis of data from the Warszawa-Okęcie station and water gauging stations. On the basis of the measurement data, mean, maximum, and minimum monthly water temperatures were calculated and presented on the background of the appropriate air temperature data, while statistical distribution of the 30-minute water temperature, aggregated in a monthly timescale, was presented on the box and whiskers plots. The Ward method was used to group months similar in terms of their thermal conditions, while the Pearson correlation coefficient was applied to evaluate the strength of the relationship between water and air temperature. The results indicate that the seasonal course of water temperature follows the course of air temperature, with the highest mean monthly water temperatures recorded in July, while the lowest in January. Statistical distribution analysis of water temperature in individual months and its grouping by the Ward method allowed to identify two periods characterized by relatively stable thermal conditions and two periods of dynamic changes of water temperature. In contrast to the maximum values of water temperature, which were observed in the summer as a result of intensive solar radiation and low streamflow rates, the greatest variability of water temperature, as indicated by reference to mean daily range and standard deviation, was found in the spring months, i.e. in April and May, while the lowest in winter, from December to February. The relationship between daily mean water temperature and air temperature, established with the use of the Pearson correlation coefficient on a monthly basis, was clearly stronger during the spring increase and the autumn fall of the water temperature, which can be linked with greater vulnerability to atmospheric heat fluxes. A definitely weaker relationship was found in the winter and summer months, when greater importance can be attached to other drivers of stream temperature, like the presence of ice cover, cloudiness, riparian shading, and groundwater inflows.

scholarly journals Investigation Regarding the Correlation between Particulate Matter 2.5 Air Pollution and Mortality Rates due to Chronic Obstructive Pulmonary Disease

2020 ◽  
Vol 6 (1) ◽  
pp. 53-59
Author(s):  
Ekta Dhanoa
Keyword(s):  
Chronic Obstructive Pulmonary Disease ◽  
Air Pollution ◽  
Particulate Matter ◽  
Pulmonary Disease ◽  
Correlation Coefficient ◽  
Pearson Correlation ◽  
Chronic Obstructive ◽  
Pearson Correlation Coefficient ◽  
Obstructive Pulmonary Disease ◽  
The Relationship

In 2015, 3.2 million people died due to Chronic Obstructive Pulmonary Disease (COPD), worldwide. In fact, survival rates for those living with severe COPD are lower than for those with cancer. The one known contributor to this disease is air pollution, and with its rising levels every year, it is necessary to determine the exact correlation between air pollution and COPD. Data was gathered for a selection of 20 countries from the World Bank Database and Health Data Database. This data was graphed and analyzed using the Pearson correlation coefficient, which is a statistical test that measures the relationship between 2 variables. When calculated, the Pearson correlation coefficient was 0.756, determining that there is a significant relationship between air pollution and COPD. Through the investigation, it is concluded that there is a positive correlation between PM2.5 air pollution and mortality rate due to COPD. PM2.5 is a component of air pollution defined as the amount of atmospheric particulate matter with a diameter less than 2.5 micrometers. Due to its small physical nature, PM2.5 can easily infiltrate the lungs, causing infections in the respiratory organs. They can reach the bronchi and even the alveoli, causing inflammation which ultimately results in COPD and premature deaths. Therefore, this research will aim to investigate the relationship between PM2.5 air pollution and COPD, allowing for a better understanding of these variables.

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