scholarly journals Innovative Correlation Coefficient Measurement with Fuzzy Data

2016 ◽  
Vol 2016 ◽  
pp. 1-11
Author(s):  
Berlin Wu ◽  
Chin Feng Hung
Keyword(s):  
Mathematics Achievement ◽  
Correlation Coefficient ◽  
Empirical Studies ◽  
Correlation Coefficients ◽  
Interval Data ◽  
Fuzzy Data ◽  
Pearson’S Correlation Coefficient ◽  
Coefficient Measurement ◽  
The Relationship ◽  
Fuzzy Interval

Correlation coefficients are commonly found with crisp data. In this paper, we use Pearson’s correlation coefficient and propose a method for evaluating correlation coefficients for fuzzy interval data. Our empirical studies involve the relationship between mathematics achievement and other projects.

IMPROVEMENT OF SPRING DURUM WHEAT SELECTION METHODOLOGIES UNDER CLIMATE CHANGE CONDITIONS

1970 ◽  
pp. 33-36
Author(s):  
А. I. Grabovets ◽  
V. P. Kadushkina ◽  
S. А. Kovalenko
Keyword(s):  
Grain Yield ◽  
Durum Wheat ◽  
Correlation Coefficient ◽  
Harvest Index ◽  
Unit Area ◽  
Correlation Coefficients ◽  
Chemical Mutagenesis ◽  
Main Method ◽  
The Relationship ◽  
Selection Of

With the growing aridity of the climate on the Don, it became necessary to improve the methodology for conducting the  breeding of spring durum wheat. The main method of obtaining the source material remains intraspecific step hybridization. Crossings were performed between genetically distant forms, differing in origin and required traits and properties. The use of chemical mutagenesis was a productive way to change the heredity of genotypes in terms of drought tolerance. When breeding for productivity, both in dry years of research and in favorable years, the most objective markers were identified — the size of the aerial mass, the mass of grain per plant, spike, and harvest index. The magnitude of the correlation coefficients between the yield per unit area and the elements of its structure is established. It was most closely associated with them in dry years, while in wet years it decreased. Power the correlation of the characteristics of the pair - the grain yield per square meter - the aboveground biomass averaged r = 0.73, and in dry years it was higher (0.91) than in favorable ones (0.61 - 0.70) , between the harvest and the harvest index - r = 0.81 (on average). In dry years, the correlation coefficient increased to 0.92. Research data confirms the greatest importance of the mass of grain from one ear and the plant in the formation of grain yield per unit area in both dry and wet years. In dry years, the correlation coefficient between yield and grain mass per plant was on average r = 0.80; in favorable years, r = 0.69. The relationship between yield and grain mass from the ear was greater — r = 0.84 and r = 0.82, respectively. Consequently, the breeding significance of the aboveground mass and the productivity of the ear, as a criterion for the selection of the crop, especially increases in the dry years. They were basic in the selection.

scholarly journals Hubungan Pengetahuan, Situasi, Sikap Dan Motivasi Dengan Keputusan Pembelian Laptop

2018 ◽  
Vol 10 (1) ◽  
pp. 76-87
Author(s):  
Bruno Hami ◽  
V. Ratna Inggawati
Keyword(s):  
Correlation Coefficient ◽  
Partial Correlation ◽  
Empirical Studies ◽  
Purchase Decision ◽  
Catholic University ◽  
Dependent Variables ◽  
Independent Variable ◽  
The Relationship ◽  
Attitude And Motivation ◽  
Economic Faculty

The study aims to obtain empirical information that knowledge, situation, attitude and motivation have positive relationship simultaneously and partially with laptop purchasing decision from students of Economic Faculty of Catholic University Darma Cendika Surabaya. Problems and hypothesis are formulated based on references and empirical studies. To test the hypothesis used regression conversion F test (linearitan) to determine whether the relationship between the dependent variable with the independent variable is linear or not. The correlation coefficient test is used to determine the size of the correlation coefficient whether significant or not. Population in this research is students of Economic Faculty of Catholic University Darma Cendika Surabaya with amount of sample counted 100 people. The end result of the study shows that the partial correlation test shows: (i) knowledge has a correlation coefficient of 0,034 with significance of 0,738 > 0,05, meaning the correlation coefficient is not significant; (ii) the situation has a correlation coefficient of 0,365 with significant 0,00 < 0,05, meaning significant correlation coefficient; (iii) attitude of having correlation coefficient 0,416 with significance 0,00 < 0,05, meaning significant correlation coefficient; and (iv) motivation has a correlation coefficient of 0,232 with a significance of 0,022 < 0,05, meaning the correlation coefficient is significant. Simultaneously, the dependent variable relation (X) with independent variable (Y) is positive with adjusted R Square (R2) of 0,428 which means that 42,8% purchase decision of laptop students of Economic Faculty of Catholic University Darma Cendika Surabaya can be explained by the four dependent variables, while the remaining 57,2% of the decision to purchase laptop students of Economic Faculty of Catholic University Darma Cendika Surabaya can be explained by other variables outside of the four dependent variables currently being studied.

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

Evaluation of Cultural Intelligence in Staff of Industries, Mines and Trades Organizations - Case Study

2017 ◽  
pp. 429-438
Author(s):  
Mohammad Abdolshah ◽  
Baranak Geranfar ◽  
Eisa Akbari ◽  
Jalil Vaziri
Keyword(s):  
Organizational Culture ◽  
Correlation Coefficient ◽  
Cultural Intelligence ◽  
Pearson Correlation ◽  
Correlation Coefficients ◽  
Statistical Population ◽  
Key Competencies ◽  
The Relationship ◽  
Personnel Department

This article examines one of the key competencies of the 21st century known as cultural intelligence (CQ). This study investigates the relationship between CQ, organizational culture, and the effectiveness of staff in the industry, mine, and trade organizations of Semnan province in Iran. Using correlational analysis, the statistical population includes a total of 103 people from 141 employees based on personnel department documents. Three questionnaires were used to measure the variables and descriptive and deductive statistics were applied to evaluate and analyze the data. The Pearson correlation coefficient and multivariate regression were used in deductive statistics to obtain the results. The findings show there is a significant relationship between CQ, organizational culture, and effectiveness. Among four cultural intelligence factors, only the knowledge of CQ can predict the effectiveness. The calculated correlation coefficient indicates that the creativity factors and communication pattern have the highest correlation coefficients.

scholarly journals Investigation of the Relationship between Trauma, Anxiety, Depression and Stress in Kerman Emergency Medical and Emergency Center 115

2020 ◽  
pp. 25-31 ◽  
Author(s):  
Mohammadreza Soltaninejad ◽  
Mohsen Aminizadeh ◽  
Amin Saberinia
Keyword(s):  
Mental Health ◽  
Correlation Coefficient ◽  
Correlation Coefficients ◽  
Spearman Correlation ◽  
Emergency Center ◽  
Statistical Population ◽  
Emergency Medical ◽  
Spss Software ◽  
Anxiety Depression ◽  
The Relationship

Introduction: The efficacy of psychological and pharmacological approaches is broadly similar in the acute treatment of psychopharmacology disorders. One of the most important stressful environmental stimuli that can cause chronic stress is people's jobs. And since promoting the mental health of individuals in a society, especially its constituent classes, is essential to the dynamics and growth of that society, this research was conducted with the aim of investigating the relationship between trauma caused by accident and anxiety, depression, and stress in Kerman Emergency Medical and Emergency Center during 2019. Methods: This is a descriptive-correlational study. The statistical population was all 70 personnel members of Emergency Medical and 115 Emergency Centers in Kerman. The Depression, Stress and Anxiety Scale 21 and Trauma Screening were used as the instruments of measurement. Pearson and Spearman correlation coefficients through SPSS software were used to test the hypotheses. Results: There is a significant and direct correlation between trauma caused by accidents and personnel anxiety with a correlation coefficient of 0.407. Also, there is a significant and direct correlation between trauma caused by accidents and personnel depression with a correlation coefficient of 0.407. There is also a significant and direct relationship between trauma caused by accidents and personnel stress with a correlation coefficient of 0.388. Conclusion: Our data suggested that mental health along with personality traits is a solution to reduce stress and anxiety resulting from the personnel facing trauma caused by accidents.

scholarly journals Directional correlation coefficient measures for Pythagorean fuzzy sets: their applications to medical diagnosis and cluster analysis

2021 ◽  
Author(s):  
Mingwei Lin ◽  
Chao Huang ◽  
Riqing Chen ◽  
Hamido Fujita ◽  
Xing Wang
Keyword(s):  
Cluster Analysis ◽  
Fuzzy Sets ◽  
Correlation Coefficient ◽  
Correlation Coefficients ◽  
Disease Diagnosis ◽  
Decision Makers ◽  
Membership Degree ◽  
Pythagorean Fuzzy Sets ◽  
And Cluster Analysis ◽  
The Relationship

AbstractCompared to the intuitionistic fuzzy sets, the Pythagorean fuzzy sets (PFSs) can provide the decision makers with more freedom to express their evaluation information. There exist some research results on the correlation coefficient between PFSs, but sometimes they fail to deal with the problems of disease diagnosis and cluster analysis. To tackle the drawbacks of the existing correlation coefficients between PFSs, some novel directional correlation coefficients are put forward to compute the relationship between two PFSs by taking four parameters of the PFSs into consideration, which are the membership degree, non-membership degree, strength of commitment, and direction of commitment. Afterwards, two practical examples are given to show the application of the proposed directional correlation coefficient in the disease diagnosis, and the application of the proposed weighted directional correlation coefficient in the cluster analysis. Finally, they are compared with the previous correlation coefficients that have been developed for PFSs.

scholarly journals Association between academic motivation and burnout in dental students at the Tabriz University of Medical Sciences: A longitudinal study

2020 ◽  
Vol 9 (1) ◽  
pp. 14-14
Author(s):  
Fatemeh Pournaghi Azar ◽  
Parnian Alizadeh Oskoee ◽  
Saeedeh Ghaffarifar ◽  
Nafiseh Vahed ◽  
Saba Shamekhi
Keyword(s):  
Correlation Coefficient ◽  
Extrinsic Motivation ◽  
Academic Motivation ◽  
Dental Students ◽  
Medical Sciences ◽  
Pearson’S Correlation Coefficient ◽  
First Semester ◽  
Pearson's Correlation ◽  
Motivation Level ◽  
The Relationship

Background: Health professions students often experience stress and potential burnout while completing their entry-to-practice education; therefore, detecting and monitoring burn out among these students is paramount. This study compared motivation domains and determined the relationship between motivation and academic burnout among students of the Dental Faculty at the Tabriz University of Medical Sciences. Methods: This analytical study was conducted longitudinally with dental students at the Tabriz University of Medical Sciences beginning from 2012, the first semester of the participating first-year students and then in the final semester when the same students graduated in 2017.All students (N = 110) were invited to participate. Academic motivation was assessed using the Valler and Academic Motivation Scale. Comparison between first and last semester motivation scores and the relationship between academic motivation level and burnout subscales was determined using independent t-tests and Pearson’s correlation coefficient tests. SPSS was used for the statistical analysis; P < 0.05 was considered statistically significant. Results: Gender had a statistically significant effect on extrinsic motivation and a motivation: in both the first and last semesters, male students were less extrinsically motivated (P < 0.05).Pearson’s correlation coefficient test found a significant inverse correlation between intrinsic and extrinsic motivation of students in their final semester and the academic efficacy (EF)subscale (r = -0.25, P = 0.015; r = -0.21, P = 0.03, respectively). Conclusion: Results showed that although there was a decrease in motivation level, students had high motivation and low burnout level in their final semester compared to their first semester. Extrinsic motivation was higher than intrinsic at both stages

scholarly journals On the application of the averaged correlation matrix in craniometry

2021 ◽  
pp. 141-149
Author(s):  
Ivan Shirobokov ◽  
Keyword(s):  
Correlation Coefficient ◽  
Correlation Matrix ◽  
Correlation Coefficients ◽  
Mantel Test ◽  
Eastern European ◽  
Individual Data ◽  
Correlation Matrices ◽  
Mahalanobis Distances ◽  
Random Variability ◽  
The Relationship

The article presents an averaged correlation matrix for 20 craniometric features, calculated for 24 male Eurasian samples. In some cases, correlation matrices calculated for different samples vary significantly; however, the fluctuations in the coefficients are usually random. Most correlation coefficients between craniometric traits have low positive values. The Mantel test, often used to compare matrices, produces incorrect results, since it is insensitive to the relationship between the value of the correlation coefficient and its stability: the lower the value of the correlation coefficient, the higher its random variability. At the same time, averaged correlation matrix based on individual data is similar to the averaged correlation matrices based on worldwide data used by Russian anthropologists at present. The usefullness of averaged correlation matrices for intergroup comparisons has been tested. It was also shown that the use of the averaged matrix for calculating the Mahalanobis distances produces results comparable to the calculations based on individual data. The analyzed samples can represent populations both from the local settlements and territorial communities. That was confirmed by the results of a series of tests for the Eastern European cranial samples, which were not used in the calculation of the averaged matrix. In conclusion some biases in the analysis of correlation coefficients caused by false ideas about their properties are considered.

Evaluation of Cultural Intelligence in Staff of Industries, Mines and Trades Organizations - Case Study

2016 ◽  
Vol 4 (2) ◽  
pp. 1-10
Author(s):  
Mohammad Abdolshah ◽  
Baranak Geranfar ◽  
Eisa Akbari ◽  
Jalil Vaziri
Keyword(s):  
Organizational Culture ◽  
Correlation Coefficient ◽  
Cultural Intelligence ◽  
Pearson Correlation ◽  
Correlation Coefficients ◽  
Statistical Population ◽  
Key Competencies ◽  
The Relationship ◽  
Personnel Department

This article examines one of the key competencies of the 21st century known as cultural intelligence (CQ). This study investigates the relationship between CQ, organizational culture, and the effectiveness of staff in the industry, mine, and trade organizations of Semnan province in Iran. Using correlational analysis, the statistical population includes a total of 103 people from 141 employees based on personnel department documents. Three questionnaires were used to measure the variables and descriptive and deductive statistics were applied to evaluate and analyze the data. The Pearson correlation coefficient and multivariate regression were used in deductive statistics to obtain the results. The findings show there is a significant relationship between CQ, organizational culture, and effectiveness. Among four cultural intelligence factors, only the knowledge of CQ can predict the effectiveness. The calculated correlation coefficient indicates that the creativity factors and communication pattern have the highest correlation coefficients.

scholarly journals Analysis of factors increasing the probability of fur chewing in chinchilla (Chinchilla lanigera) raised under farm conditions

2014 ◽  
Vol 14 (1) ◽  
pp. 189-195 ◽  
Author(s):  
Stanisław Łapiński ◽  
Marcin W. Lis ◽  
Anika Wójcik ◽  
Łukasz Migdał ◽  
Iwona Guja
Keyword(s):  
Correlation Coefficient ◽  
Herd Size ◽  
Mixed System ◽  
Considerable Proportion ◽  
Pearson’S Correlation Coefficient ◽  
Important Observation ◽  
Pearson's Correlation ◽  
The Relationship ◽  
Compulsive Disorders ◽  
Question Survey

AbstractThe aim of the study was to assess the extent of fur chewing problems on chinchilla farms. The research was based on a 20-question survey addressed to breeders. A total of 47 anonymous questionnaires were answered. Results showed that the problem of fur chewing was found in as many as 85% of the farms but the proportion of affected animals was usually low (mean±SE: 3.5±0.55%). To determine the relationship between herd size and the extent of the problem, the Pearson’s correlation coefficient was calculated to be r = -0.315 (P≤0.05), possibly indicating the problem to be more severe on smaller farms. No correlation was found between fur chewing and the type of fodder (pellets from different producers), temperature, humidity, type of cage equipment or frequency of dust baths. Moreover, the level of fur-biting animals kept on a deep-litter floor was estimated at 1.7% while the level of those kept on a wire floor and in a mixed system was 2.8-times higher (P≤0.05). The fact that 37.5% of the respondents perceived the predisposition to fur chewing to be hereditary was an important observation suggesting a direction for further research. A considerable proportion of those surveyed (37.5%) also pointed to a greater excitability among fur chewers. To sum up, results of the present study revealed that keeping animals on litter reduces the incidence of fur chewing. Breeders’ observations also suggest that fur biting may be determined genetically and/or connected with impulsive-compulsive disorders; however, more detailed studies are necessary to confirm these hypotheses.

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