The Mantel Test versus Pearson's Correlation Analysis: Assessment of the Differences for Biological and Environmental Studies

Background The Symbol Digit Modalities Test (SDMT) is the gold standard for cognitive screening in multiple sclerosis (MS). Objective Due to the recent COVID-19 pandemic and the increased need for virtual clinical visits, we examined the reliability of remote administration of the SDMT vs. standard in-person administration to individuals with MS. Methods Pearson’s correlation analysis was performed between SDMT scores on the in-person and remote administrations. Results For n = 132 participants, remote and in-person SDMT scores were strongly correlated (r = .80, p = .000). Conclusion Remote administration of the SDMT is a reliable cognitive screening approach in MS.

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Do height and weight play an important role in block and attack efficiency in high-level men's volleyball?

Papers on Anthropology ◽

10.12697/poa.2017.26.1.05 ◽

2017 ◽

Vol 26 (1) ◽

pp. 64 ◽

Cited By ~ 1

Author(s):

Raini Stamm ◽

Meelis Stamm ◽

Aleksander Jairus ◽

Reino Toop ◽

Reeda Tuula ◽

...

Keyword(s):

Correlation Analysis ◽

Pearson’S Correlation ◽

Anthropometric Characteristics ◽

Pearson's Correlation ◽

Pearson’S Correlation Analysis ◽

Standard Deviations ◽

High Level

The research objective was to study the relationships of players’ efficiency in attack and block with their anthropometric characteristics. Data on men’s weight and height and their proficiency in the game were used. The subjects were the members of the Estonian, Italian, French and Croatian national volleyball teams who participated in Pool B of the European Championship. Data are given on men’s height, weight, age, total number of spikes, attack errors, attacks won, efficiency of attack, total number of blocks, block errors, blocks won, and efficiency of block. In addition, the number of points won by men and their positions in the game are given. Minimums, maximums, standard deviations and means were calculated. To find correlations, Pearson’s correlation analysis (p<0.05) was used. In our study, taller and heavier players proved to be more efficient at attack. Comparison of positions showed that middle blockers were taller and performed more blocks, setters were shorter and performed the least of attacks, and outside attackers and opposite attackers were of medium height and carried the greatest load of attack. As a conclusion, it was found that, in professional volleyball, height correlated with the efficiency of attack (r= 0.534; p<0.05), and weight also correlated with the efficiency of attack (r= 0.518; p<0.05). There was no correlation between the anthropometric characteristics and block in volleyball at the professional level in our study. In volleyball, the greatest load at attack is carried by outside attackers and opposite attackers, while middle blockers have the greatest load at block. Setters perform the smallest number of attacks.

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The influence of Organizational Climate and Organizational Socialization on Knowledge Management: An empirical study in banking sector of Pakistan

International Journal of Management Excellence ◽

10.17722/ijme.v12i2.1056 ◽

2019 ◽

Vol 12 (2) ◽

pp. 1797-1804

Author(s):

Raza Hussain Lashari ◽

Abdul Khaliq Alvi

Keyword(s):

Knowledge Management ◽

Correlation Analysis ◽

Empirical Study ◽

Organizational Climate ◽

Organizational Support ◽

Banking Sector ◽

Organizational Socialization ◽

Pearson’S Correlation ◽

Pearson's Correlation ◽

Pearson’S Correlation Analysis

The basic objective of the empirical study is to identify the influence of organizational socialization (OS) and organizational climate (OC) on knowledge management (KM) among the banking sector of Pakistan. The above said sector is selected as population of the current research. By using the simple random sampling technique, different branches of public banks and private banks are selected as a sample. 270 questionnaires were circulated to top level managers and middle level managers. 240 questionnaires were filled by employees and used for analysis. The overall response rate was 89%. Different statistical techniques i.e. Pearson’s correlation analysis, multiple regression analysis and reliability analysis are applied on collected data. The results of Pearson’s correlation analysis shows that there is positive relationship between organizational climate (OC), organizational socialization (OS), knowledge management (KM), its dimensions i.e. knowledge sharing (KS) and knowledge application (KA). Moreover, regression analysis’s results explain that organizational socialization is strong predictor of knowledge management as compare to organizational climate. From the management point of view, the results give clear clue to Pakistan’s banking sector must understand the importance of organizational socialization, organizational climate for the purpose of knowledge management. In future researches, data may be collected to other sectors like telecom industry, textile industry and education sector etc. for more generalizing the results. Moreover, researches some other variables like social interaction, perceived organizational support, and perceived supervisor support may also be conducted.

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Association Between Abundance of Haemophilus in the Gut Microbiota and Negative Symptoms of Schizophrenia

Frontiers in Psychiatry ◽

10.3389/fpsyt.2021.685910 ◽

2021 ◽

Vol 12 ◽

Author(s):

Cuizhen Zhu ◽

Mingming Zheng ◽

Usman Ali ◽

Qingrong Xia ◽

Zhongxian Wang ◽

...

Keyword(s):

Correlation Analysis ◽

Gut Microbiota ◽

Psychiatric Symptoms ◽

Psychotic Symptoms ◽

Control Group ◽

Pearson’S Correlation ◽

Acute Group ◽

Pearson's Correlation ◽

Pearson’S Correlation Analysis ◽

And Control

Increasing evidence indicates an interaction between dysbiosis of the microbiota and the pathogenesis of schizophrenia. However, limited information is available on the specific microbial communities associated with symptoms of schizophrenia. Therefore, this study aimed to investigate gut microbiota dysbiosis and its relationship with psychopathologies in schizophrenia. We recruited 126 participants and divided them into three groups according to the Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition, criteria—acute group (patients with acute schizophrenia), remission group (patients with schizophrenia in remission), and control group (healthy controls). Psychotic symptoms were evaluated using the Positive and Negative Syndrome Scale. Microbiota compositions, diversity and community structure were evaluated using 16S rRNA sequencing. Pearson's correlation analysis was used to evaluate the association between bacterial taxa and psychotic symptoms. The beta-diversity of microbiota composition in the acute group was distinct from that in the remission and control groups (PC1 = 21.11% vs. PC2 = 12.86%, P = 0.021). Furthermore, Pearson's correlation analysis revealed that abundance of Haemophilus was positively correlated with negative psychiatric symptoms (r = 0.303, P = 0.021), while abundance of Coprococcus was negatively correlated with negative psychiatric symptoms (r = −0.285, P = 0.025). Moreover, abundance of Haemophilus was positively correlated with cognition (r = 0.428, P = 0.009), excitement (r = 0.266, P = 0.037), and depression (r = 0.295, P = 0.020). The study findings suggest that alterations in certain gut microbiota may interfere with psychological symptoms in schizophrenia. Our results provide evidence that may help in the development of therapeutic strategies using microbial-based targets. The data that support the findings of this study have been deposited in the NCBI (https://submit.ncbi.nlm.nih.gov/) with accession number SUB9453991.

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CAREER MANAGEMENT ANALYSIS IN TERMS OF AGE

Globalization and Business ◽

10.35945/gb.2019.07.021 ◽

2019 ◽

Vol 4 (7) ◽

pp. 168-175

Author(s):

NUGZAR PAICHADZE ◽

NATALIA KHARADZE ◽

NINO PARESASHVILI ◽

DEA PIRTSKHALAISHVILI

Keyword(s):

Correlation Analysis ◽

Correlation Coefficient ◽

Positive Attitude ◽

Statistical Significance ◽

Chi Square ◽

Pearson’S Correlation ◽

Significance Level ◽

Chi Square Test ◽

Pearson's Correlation ◽

Pearson’S Correlation Analysis

Business career enables human resources to increase qualification opportunities and become recognizable at the same time. In the course of the research, we got interested what kind of attitude towards career issues was in different age groups. What the manner was by which the career of different generation respondents was managed, what the respondents’ attitude is to the career, how they perceive the career management policies implemented by the executives of the organization. The research was conducted in the «Human Potential Management» laboratory at Ivane Javakhishvili Tbilisi State University. 560 respondents participated in the survey. The questionnaire included 32 questions and 125 options for an answer. SPSS statistical software package was used for statistical processing and data analysis. As a result of the research we have developed the hypotheses: Hypothesis 1: Age Q3 affects how people are accepted at work Q5. We used Pearson’s Correlation Analysis to determine the strength of the connection between the variables of this hypothesis. We got the correlation coefficient 0.415. By means of the correlation, it was shown that between these variables there is a moderate positive attitude. To test the reliability of hypothesis we used Chi-square test that indicates that the statistical significance level P (Sig.) does not exceed 0.001. Accordingly, the first hypothesis is reliable. According to both indicators, hypothesis 1: Age Q3 affects how people are accepted at work Q5 has been confirmed. Hypothesis 2: Age Q3 affects working experience Q4. We used Pearson’s Correlation Analysis to determine the strength of the connection between the variables of this hypothesis. We got the correlation coefficient 0.122. By means of the correlation, it was shown that between these variables there is a weak positive attitude. To test the reliability of hypothesis we used Chi-square test that indicates that the statistical significance level P (Sig.) does not exceed 0.001. Accordingly, the first hypothesis is reliable. Consequently, the hypothesis 4 Age Q3 affects whether you were promoted in a career over the last 5 years has been confirmed Hypothesis 5: Age Q3 affects whether a person is searching for a job in a parallel mode Q34. We used Pearson’s Correlation Analysis to determine the strength of the connection between the variables of this hypothesis. We got the correlation coefficient 0.131. By means of the correlation, it was shown that between these variables there is a weak positive attitude. To test the reliability of hypothesis we used Chi-square test that indicates that the statistical significance level P (Sig.) equal to 0.082. Which means that hypothesis 5 is not reliable. Consequently, the hypothesis 5 Q3 Age affects whether a person is searching for a job in a parallel mode Q34 has not been confirmed. Some recommendations were worked out based on the research

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Differentiation between Phyllodes Tumors and Fibroadenomas Based on Mammographic Sonographic and MRI Features

Breast Care ◽

10.1159/000444377 ◽

2016 ◽

Vol 11 (2) ◽

pp. 123-127 ◽

Cited By ~ 22

Author(s):

Lale Duman ◽

Naciye S. Gezer ◽

Pınar Balcı ◽

Canan Altay ◽

Işıl Başara ◽

...

Keyword(s):

Correlation Analysis ◽

Statistical Significance ◽

Phyllodes Tumor ◽

Mri Findings ◽

Pearson’S Correlation ◽

Phyllodes Tumors ◽

Mri Features ◽

Pearson's Correlation ◽

Pearson’S Correlation Analysis ◽

Radiological Methods

Background: This study was performed to compare the mammographic, sonographic, and magnetic resonance imaging (MRI) characteristics of phyllodes tumors and fibroadenomas, which may resemble each other. Methods: Preoperative mammograms, B-mode and Doppler sonograms, and dynamic breast MRIs of 72 patients with pathologically proven fibroadenomas and 70 patients with pathologically proven phyllodes tumor were evaluated in this retrospective study. Statistical significance was evaluated using chi-square and Fisher's exact tests. Correlations in lesion size among radiological methods were examined by Pearson's correlation analysis. Results: The features that differed on mammogram were size, shape, and margin of the mass. Sonograms showed significant differences in size, shape, margin, echo pattern, and vascularization of the mass. Pearson's correlation analysis showed strong agreement among radiological methods in terms of assessment of size. Tumor size ≥ 3 cm, irregular shape, microlobulated margins, complex internal echo pattern, and hypervascularity were significant findings of phyllodes tumors. Internal cystic areas on MRI were frequently associated with phyllodes tumors. Conclusion: Mammographic, sonographic, and MRI findings of fibroadenomas and phyllodes tumors could help radiologists to ascertain imaging-histological concordance and guide clinicians in their decision making regarding adequate follow-up or the necessity of biopsy.

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Regional Relocation and Phonetic Dialect Markers

Lifespans and Styles ◽

10.2218/ls.v7i2.2021.6642 ◽

2021 ◽

Vol 7 (2) ◽

pp. 39-47

Author(s):

Victoria Kuo

Keyword(s):

Longitudinal Study ◽

Correlation Analysis ◽

Hypothesis Testing ◽

The Other ◽

Pearson’S Correlation ◽

Regional Dialect ◽

Pearson's Correlation ◽

The Difference ◽

Phonological Change ◽

Over Time

This paper tracks phonological change in the (ING) morpheme in two YouTube personalities over time. Both participants relocated to a different dialect region than their hometowns over the course of their careers, motivating the hypothesis of this paper: geographic relocation is a catalyst for adult accent change. With a longitudinal study method, I selected audio clips from different periods in each YouTuber’s life and collected formant measurements of the targeted words. Based on a Pearson’s correlation analysis and hypothesis testing models, the participants showed statistically significant progression in their speech over time. Additionally, the speakers exhibited audible shifts most likely as an effect of aging. It is inconclusive whether this study’s observations are influenced by the difference in dialect or societal pressures of the relocated locations without further research in the other variables of each regional dialect.

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The relationship between quality of life in sarcopenia and skeletal muscle index in patients with advanced lung cancer

Journal of Education, Health and Sport ◽

10.12775/jehs.2021.11.11.009 ◽

2021 ◽

Vol 11 (11) ◽

pp. 100-107

Author(s):

V. Kechedzhyiev

Keyword(s):

Quality Of Life ◽

Lung Cancer ◽

Skeletal Muscle ◽

Correlation Analysis ◽

Advanced Lung Cancer ◽

Pearson’S Correlation ◽

Skeletal Muscle Index ◽

Pearson's Correlation ◽

The Relationship

Introduction. Today the relevance of sarcopenia is increasing in various types of malignant neoplasms.This syndrome is most common in patients with advanced forms of cancer and can adversely affect survival, treatment outcomes, and functional status. The prevalence of sarcopenia in patients with lung cancer is higher than in other types of malignant tumors. To understand the relationship between sarcopenia and quality of life is especially important for patients with advanced cancer. Aim. To assess the relationship between skeletal muscle index (SMI) and quality of life in sarcopenia in patients with advanced lung cancer. Materials and methods. A prospective analysis was carried out of 28 patients with advanced lung cancer who have applied to the “ONCOLIFE” Medical Center since the beginning of 2021. All patients had sarcopenia on CT scan. Skeletal muscle cross-sectional area analyzed using software ImageJ (National Institutes of Health, Bethesda, MD, USA). To determine the quality of life in sarcopenia a questionnaire SarQoL was used. Pearson's correlation analysis was used to assess the correlation between quality of life and SMI. Results. Pearson's correlation analysis showed a statistically significant positive correlation between quality of life and SMI (r = 0,451, р = 0,016, N=28). Body mass index (BMI) positively correlated with quality of life (r = 0,398, р = 0,036, N=28), and age negatively correlated with SMI (r = -0,391, р = 0,040, N=28). There was no statistically significant correlation between indicators such as BMI and SMI, as well as age and quality of life. Conclusions. Quality of life in sarcopenia statistically significantly correlates with SMI in patients with metastatic lung cancer. Early diagnosis of sarcopenia is essential for timely prescription of treatment aimed at maintaining and better muscle mass, which can improve cancer patients quality of life.

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Comparison of Fatal Recreational Drug Overdoses between Celebrities and Non-Celebrities

STEM Fellowship Journal ◽

10.17975/sfj-2020-003 ◽

2020 ◽

pp. 1-7

Author(s):

Zara Ahmad ◽

Jiin Kim ◽

Aleksandra Udovica ◽

Renna Lee

Keyword(s):

Drug Use ◽

General Population ◽

Correlation Analysis ◽

Time Frame ◽

T Test ◽

Descriptive Statistics ◽

Recreational Drug ◽

Pearson’S Correlation ◽

Drug Overdoses ◽

Pearson's Correlation

Previous studies have examined drug overdoses among celebrities, but not in comparison to the general population. This study’s goal was to analyze whether celebrities have higher fatal overdose rates from recreational drug use than the non-celebrity population. It is often presumed that celebrities engage in more drug use to cope with their stressful and taxing lifestyles. To test this claim, we gathered a list of American celebrities that fatally overdosed on drugs from 1999 to 2017 (inclusive), as well as the number of overdoses in the general American population during this time frame. Certain drugs of interest were kept and less commonly occurring drugs that resulted in overdose were excluded, leaving us with opioids, heroin, cocaine, benzodiazepines, psychostimulants, and antidepressants. Descriptive statistics of both populations including gender and specific professions of celebrities were collected. Then, an independent samples t-test was used to discover if there was a significant difference between fatal overdoses for the celebrity versus non-celebrity population in general and for each drug listed previously from the years 1999 to 2017. Pearson’s correlation analysis was used to find if there was a difference in the yearly trend of overdoses for celebrities versus non-celebrities during the same time range. Descriptive statistics demonstrated that males comprised 62.9% of fatal overdoses for non-celebrities and 73.5% for celebrities, and musicians (24.3%), athletes (23.6%), and actors (17.6%) tend to overdose the most in terms of celebrity professions. In addition, the results from the t-test showed that non-celebrities had not fatally overdosed at significantly different rates than celebrities from 1999 to 2017. as well as overdosed at no significantly different rate for each individual drug than celebrities during this time frame. However, the exceptions were any opioids and benzodiazepines, for which the former group overdosed at a significantly higher rate. Pearson’s correlation analysis yielded an insignificant negative correlation between fatal overdoses and years passed between 1999 to 2017 for celebrities, and a significant positive correlation between fatal overdoses and years passed for non-celebrities. The judgmental heuristics may make us believe that more celebrities fatally overdose than non-celebrities, and that this presumption could potentially be problematic because celebrities have a massive influence on society, which could lead the general population to engage in these self-destructive behaviours themselves.

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