Spearman’s rank correlation analysis on public perception toward health partnership projects between Indonesia and Australia in East Nusa Tenggara Province

Our research aims to elucidate the factors that influence the terminological implantation of a term by proposing a new typology of those factors with a method revealing how their mechanism causes terminological variation in French-language ICT. We accomplish this through an analysis of four Francophone communities: France, Quebec, Belgium, and Switzerland. After establishing a new typology, which encompasses the terminological, socio-terminological, psycho-terminological, and extra-terminological factors, we propose a hypothetical model of their mechanism by introducing three statistical concepts—dependent, independent, and moderator variables—to elucidate these factors’ relationships. We verify our model in two steps. First, for the analysis of terminological and socio- terminological factors, we examine the relations between each factor and terminological implantation of 256 French ICT terms. For this, we begin by coding the terms according to a criterion established for each factor. We then carry out a correlation analysis with Spearman’s rank correlation. Second, we analyse the psycho-terminological and extra-terminological factors with statistical tests on the answers to our questionnaire, which show significant differences between these four linguistic communities. Our analysis confirms a significant difference between the three European countries and Quebec in the mechanism of the terminological implantation factors and we conclude that the psycho-terminological and extra-terminological factors play a decisive role in this difference, which we identify as diatopic.

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Co-expression of VEGF-B and FLT-1 correlates with malignancy and prognosis of gastric cancer

Biomarkers in Medicine ◽

10.2217/bmm-2020-0608 ◽

2021 ◽

Author(s):

Yanpeng Ma ◽

Wenyao Wang ◽

Longlong Liu ◽

Yang liu ◽

Wei Bi

Keyword(s):

Gastric Cancer ◽

Overall Survival ◽

Targeted Therapy ◽

Correlation Analysis ◽

Detailed Analysis ◽

Poor Prognosis ◽

Rank Correlation ◽

Spearman’S Rank Correlation

Background: This study aims to investigate the correlation of VEGF-B and FLT-1 co-expression with the prognosis of gastric cancer (GC). Materials & methods: Primary GC samples and adjacent tissues were obtained from 96 patients. Results: Both VEGF-B and FLT-1 were testified to be upregulated in the human GC compared with adjacent tissues. Spearman’s rank correlation analysis indicated that VEGF-B and FLT-1 expression were correlated (r = 0.321, p = 0.0015). High VEGF-B and FLT-1 co-expression patients showed poor prognosis when compared with low VEGF-B and FLT-1 co-expression patients (p = 0.0169). Conclusion: The high co-expression of VEGF-B and FLT-1 in GC shows a poor prognosis of overall survival, and targeted therapy against the interaction between VEGF-B and FLT-1 is worth further detailed analysis.

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The Russian schoolchildren's digital reading: Factors affecting medium preferences and self-evaluation of digital reading practice

Science for Education Today ◽

10.15293/2658-6762.2006.14 ◽

2020 ◽

Vol 10 (6) ◽

pp. 252-272

Author(s):

Maria Yuryevna Lebedeva ◽

◽

Kseniya Petrovna Vergeles ◽

Olga Fedorovna Kupreshchenko ◽

Lyudmila Yuryevna Zhiltsova ◽

...

Keyword(s):

Correlation Analysis ◽

Rank Correlation ◽

Self Report ◽

Rank Test ◽

Subjective Perception ◽

Digital Reading ◽

Reading Practice ◽

Factors Affecting ◽

Self Evaluation ◽

Spearman’S Rank Correlation

Introduction. While the importance of digital reading in modern education is constantly increasing, there are some knowledge gaps in investigating reading patterns (reading digital and print texts). There is still little scientific understanding of how Russian schoolchildren choose the medium of reading and how children assess their reading behavior in the digital environment. The purpose of the article is to reveal the factors that influence Russian schoolchildren’s choice of a reading medium, as well as the features of their self-evaluation of digital reading practices. Materials and Methods. To achieve the goal of the study we used the following methods: a questionnaire, statistical data processing, including t-test, correlation analysis using Spearman's rank correlation coefficient (rs) for ordinal variables and Pearson's coefficient (rp) for quantitative variables, comparative analysis based on the Mann-Whitney rank test for nonparametric data and ordinal scales, ANOVA. Results. During the research a questionnaire consisting of three blocks of questions was developed, tested and distributed among the target audience. 568 students of grades 5-11 from 54 regions of the Russian Federation took part in the survey. Correlation analysis of the data made it possible to reveal some factors which influence the Russian schoolchildren’s choice of the reading medium - digital or printed. Furthermore, the authors identified the features of schoolchildren’s subjective perception of digital reading and the factors determining this perception. Conclusions. The study identified factors which significantly affect the Russian children’s preference to read digitally: the type of text, the purpose of reading, the respondents’ age, their attitude to reading and the level of reading proficiency (according to self-report data). Children’s self-evaluation of digital reading showed that they identify both negative (increased fatigue, decreased interest in reading, etc.) and positive aspects of reading digital texts (efficiency of search reading). Keywords Reading; Digital reading; Reading medium; Preferences of reading medium; Reading self-evaluation; Reading practice; Russian schoolchildren

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Students’ Satisfaction with Interactive Forms of Training with Elements of Gamification

International Journal of Engineering & Technology ◽

10.14419/ijet.v7i4.38.24333 ◽

2018 ◽

Vol 7 (4.38) ◽

pp. 109

Author(s):

Tatiana S. Demchenko ◽

Mikhail V. Vinichenko ◽

Maksim V. Demchenko ◽

Irina Y. Ilina ◽

Natalya V. Buley ◽

...

Keyword(s):

Higher Education ◽

Correlation Analysis ◽

Rank Correlation ◽

Sociological Research ◽

Traditional Methods ◽

Spearman’S Rank Correlation ◽

Spearman’S Rank Correlation Coefficient ◽

High Level ◽

Students Satisfaction

The article considers students' satisfaction with interactive forms of training with elements of gamification. Based on the empirical study, the level of students’ satisfaction with interactive forms of training with elements of gamification has been measured. The study has been conducted at 6 educational organizations that carry out educational activities on educational programs of higher education – bachelor, specialist and master degree programs. A set of sociological methods has been used in the study: a questionnaire survey of students, an expert survey of teachers working at higher education institutions, an analysis of documents; content analysis; a method of mathematical data processing (correlation analysis, using the software package SPSS Statistics 23). Based on the analysis of the scientific literature and the results of the sociological research conducted, it has been established that the students are more satisfied with the quality of interactive sessions with elements of gamification (57.01%) than with the quality of training by traditional methods (23.36%) and the quality of the content of classes conducted by traditional methods (19.63%). It has been revealed that the use of interactive forms of training with elements of gamification is the most effective: to increase the effectiveness of mastering the training material (20%); for decision-making (17.33%); to heighten interest in learning (15.33%). The closeness of the views of students and teachers on the assessment of interactive forms of training with elements of gamification and assessment of classes conducted by traditional methods has been determined by means of Spearman's rank correlation coefficient. The obtained data of the correlation analysis have shown a rather high level of correlation and indicated the closeness of the views of students and teachers on the phenomena studied.

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A Network Analysis of Twitter Interactions by Members of the U.S. Congress

ACM Transactions on Social Computing ◽

10.1145/3439827 ◽

2021 ◽

Vol 4 (1) ◽

pp. 1-22

Author(s):

Joshua M. Chamberlain ◽

Francesca Spezzano ◽

Jaclyn J. Kettler ◽

Bogdan Dit

Keyword(s):

Political Ideology ◽

Public Perception ◽

Rank Correlation ◽

Political Agenda ◽

The Political ◽

Detection Algorithms ◽

Spearman’S Rank Correlation ◽

Echo Chamber ◽

Increasing Risk ◽

Chamber Effect

Usage of Twitter by politicians has become more prevalent in recent years, with a goal of influencing the electorate and public perception. We collect, explore, and analyze over 12 years of public Twitter interactions of U.S. senators and representatives. Using community detection algorithms on these interaction networks, and without considering the content of the tweets, we are able to infer the political affiliation of each member of Congress with up to 98.8% accuracy in the House and 94.1% accuracy in the Senate. In addition, we define two metrics that can determine the political ideology of members of Congress achieving a very high Spearman’s rank correlation of 0.86 with the existing DW-NOMINATE score from the field of political science. Finally, we expand our structural analysis to intra-party factions and found evidence that some factions act on Twitter more cohesively than others, suggesting an increasing risk of an echo chamber effect when promoting their political agenda.

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HUBUNGAN EKUITAS MEREK (BRAND EQUITY) DENGAN LOYALITAS PELANGGAN PADA PT. ENSEVAL PUTERA MEGATRADING TBK CABANG BENGKULU

EKOMBIS REVIEW: Jurnal Ilmiah Ekonomi dan Bisnis ◽

10.37676/ekombis.v9i1.1223 ◽

2021 ◽

Vol 9 (1) ◽

pp. 39-49

Author(s):

Sadad Radansyah ◽

Nia Indriasari ◽

Wagini Wagini

Keyword(s):

Correlation Analysis ◽

Hypothesis Testing ◽

Key Words ◽

Brand Equity ◽

Customer Loyalty ◽

Analytical Method ◽

Rank Correlation ◽

Spearman Correlation ◽

Spearman’S Rank Correlation

Sadad Radansyah, Nia Indriasari, The purpose of this study was to determine the correlation between brand equity with customer loyalty at Enseval Putera Megatrading Tbk Company BengkuluBranch. The analytical method used is Spearman’s rank correlation and hypothesis testing. Based on the Spearman correlation analysis of the correlation between brand equity with customer loyalty at Enseval Putera Megatrading Tbk Company Bengkulu Branchobtained the value of rho ( )the correlation between brand equity with customer loyalty at Enseval Putera Megatrading Tbk Company Bengkulu Branchis 0.841 at the interval of the correlation interpretation of 0.800-1,000, with very strong criteria, meaning the correlation between brand equity with customer loyalty at Enseval Putera Megatrading Tbk Company Bengkulu Branchis very strong. To test the hypothesis between brand equity and customer loyalty at Enseval Putera Megatrading Tbk Company Bengkulu Branchis obtained a calculated rho value greater than rho table (0.841> 0.364) so that Ho is rejected and Ha is accepted, meaning that there is a significant correlation between brand equity and customer loyalty at Enseval Putera Megatrading Tbk Company Bengkulu Branch. Key Words: Liquidity,

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A Study of the Relationships between Nursing Students’ Meanings of Life, Positive Beliefs, and Well-Being

International Journal of Innovative Research in Medical Science ◽

10.23958/ijirms/vol03-i01/02 ◽

2018 ◽

Vol 3 (01) ◽

Author(s):

Fu-Ju Tsai ◽

Cheng-Yu Chen ◽

Gwo-Liang Yeh ◽

Yih-Jin Hu ◽

Chie-Chien Tseng ◽

...

Keyword(s):

Health Promotion ◽

Nursing Students ◽

Analysis Of Variance ◽

Rank Correlation ◽

Meaning Of Life ◽

Well Being ◽

Social Health ◽

Cross Sectional ◽

Nursing Educators ◽

Spearman’S Rank Correlation

Background: Nursing educators should train nursing students to pursue physical, psychological, spiritual, and social health promotion. The purpose of this study was to explore relationships between nursing students’ meaning of life, positive beliefs, and well-being. Methods: A cross-sectional correlational study with a quantitative approach was adopted. Purposive sampling was used. A total of 170 nursing students voluntarily participated in this study. A 56-item questionnaire was used to examine nursing students’ meaning of life (1-25 items), positive beliefs (1-11 items), and well-being (1-20 items). The content validity index (CVI) of the study questionnaire was established as 0.95 by seven expert scholars. The reliability values for the three parts of the measure were as follows: meaning of life, Cronbach’s α 0.96; positive beliefs, Cronbach’s α 0.93; and well-being, Cronbach’s α 0.95. Percentages, frequencies, means, SDs, Kruskal-Wallis one-way analysis of variance by rank, Spearman’s rank correlation, one-way analysis of variance, Spearman’s rho correlation, and regression analysis were used for the data analysis. Results: Nursing students had the following mean scores: meaning of life with 4.02 (SD 0.56); positive beliefs with 3.92 (SD 0.62); and well-being with 3.95 (SD 0.57). The results indicate that for all nursing students, meaning of life was positively correlated with positive beliefs, r=0.83 (P<.01); similarly, all nursing students had positive beliefs that were positively correlated with meaning of life, r=0.83 (P<.01). In the results of the study, the nursing students’ background, meaning of life and positive beliefs explained 63% of the variance in well-being (Adjusted R2 squared =0.63, F=33.41, P<.001). Conclusions: Nursing students’ sense of meaning of life and positive beliefs may impact their well-being. Therefore, nursing educators can promote meaning of life and positive beliefs to nursing students as a way to increase their well-being for physical, psychological, spiritual, and social health promotion.

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Deregulation of lncRNA HIST1H2AG-6 and AIM1-3 in peripheral blood mononuclear cells is associated with newly diagnosed type 2 diabetes

BMC Medical Genomics ◽

10.1186/s12920-021-00994-z ◽

2021 ◽

Vol 14 (1) ◽

Author(s):

Hui Jiang ◽

Peian Lou ◽

Xiaoluo Chen ◽

Chenguang Wu ◽

Shihe Shao

Keyword(s):

Roc Curve ◽

Multivariate Logistic Regression Analysis ◽

Rank Correlation ◽

Differentially Expressed ◽

Healthy Controls ◽

Biological Functions ◽

Multivariate Logistic Regression ◽

Spearman’S Rank Correlation ◽

Spearman’S Rank Correlation Coefficient

Abstract Background Type 2 diabetes mellitus (T2DM) is mainly affected by genetic and environmental factors; however, the correlation of long noncoding RNAs (lncRNAs) with T2DM remains largely unknown. Methods Microarray analysis was performed to identify the differentially expressed lncRNAs and messenger RNAs (mRNAs) in patients with T2DM and healthy controls, and the expression of two candidate lncRNAs (lnc-HIST1H2AG-6 and lnc-AIM1-3) were further validated using quantitative real-time polymerase chain reaction (qRT-PCR). Spearman’s rank correlation coefficient was used to measure the degree of association between the two candidate lncRNAs and differentially expressed mRNAs. Furthermore, the KEGG (Kyoto Encyclopedia of Genes and Genomes) pathway and GO (Gene Ontology) enrichment analysis were used to reveal the biological functions of the two candidate lncRNAs. Additionally, multivariate logistic regression analysis and receiver operating characteristic (ROC) curve analysis were performed. Results The microarray analysis revealed that there were 55 lncRNAs and 36 mRNAs differentially expressed in patients with T2DM compared with healthy controls. Notably, lnc-HIST1H2AG-6 was significantly upregulated and lnc-AIM1-3 was significantly downregulated in patients with T2DM, which was validated in a large-scale qRT-PCR examination (90 controls and 100 patients with T2DM). Spearman’s rank correlation coefficient revealed that both lncRNAs were correlated with 36 differentially expressed mRNAs. Furthermore, functional enrichment (KEGG and GO) analysis demonstrated that the two lncRNA-related mRNAs might be involved in multiple biological functions, including cell programmed death, negative regulation of insulin receptor signal, and starch and sucrose metabolism. Multivariate logistic regression analysis revealed that lnc-HIST1H2AG-6 and lnc-AIM1-3 were significantly correlated with T2DM (OR = 5.791 and 0.071, respectively, both P = 0.000). Furthermore, the ROC curve showed that the expression of lnc-HIST1H2AG-6 and lnc-AIM1-3 might be used to differentiate patients with T2DM from healthy controls (area under the ROC curve = 0.664 and 0.769, respectively). Conclusion The profiles of lncRNA and mRNA were significantly changed in patients with T2DM. The expression levels of lnc-HIST1H2AG-6 and lnc-AIM1-3 genes were significantly correlated with some features of T2DM, which may be used to distinguish patients with T2DM from healthy controls and may serve as potential novel biomarkers for diagnosis in the future.

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Magnetic resonance cisternography imaging findings related to the leakage of Gadolinium into the subarachnoid space

Japanese Journal of Radiology ◽

10.1007/s11604-021-01137-1 ◽

2021 ◽

Author(s):

Rei Nakamichi ◽

Toshiaki Taoka ◽

Hisashi Kawai ◽

Tadao Yoshida ◽

Michihiko Sone ◽

...

Keyword(s):

Magnetic Resonance ◽

Subarachnoid Space ◽

Area Under The Curve ◽

Rank Correlation ◽

Predictive Performance ◽

Roc Curves ◽

Imaging Findings ◽

Spearman’S Rank Correlation ◽

Sagittal Sinus ◽

Magnetic Resonance Cisternography

Abstract Purpose To identify magnetic resonance cisternography (MRC) imaging findings related to Gadolinium-based contrast agent (GBCA) leakage into the subarachnoid space. Materials and methods The number of voxels of GBCA leakage (V-leak) on 3D-real inversion recovery images was measured in 56 patients scanned 4 h post-intravenous GBCA injection. Bridging veins (BVs) were identified on MRC. The numbers of BVs with surrounding cystic structures (BV-cyst), with arachnoid granulations protruding into the superior sagittal sinus (BV-AG-SSS) and the skull (BV-AG-skull), and including any of these factors (BV-incl) were recorded. Correlations between these variables and V-leak were examined based on the Spearman’s rank correlation coefficient. Receiver-operating characteristic (ROC) curves were generated to investigate the predictive performance of GBCA leakage. Results V-leak and the number of BV-incl were strongly correlated (r = 0.609, p < 0.0001). The numbers of BV-cyst and BV-AG-skull had weaker correlations with V-leak (r = 0.364, p = 0.006; r = 0.311, p = 0.020, respectively). The number of BV-AG-SSS was not correlated with V-leak. The ROC curve for contrast leakage exceeding 1000 voxels and the number of BV-incl had moderate accuracy, with an area under the curve of 0.871. Conclusion The number of BV-incl may be a predictor of GBCA leakage and a biomarker for waste drainage function without using GBCA.

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Predicting presenteeism using measures of health status

Quality of Life Research ◽

10.1007/s11136-021-02936-9 ◽

2021 ◽

Author(s):

Cheryl Jones ◽

Katherine Payne ◽

Alexander Thompson ◽

Suzanne M. M. Verstappen

Keyword(s):

Health Status ◽

Online Survey ◽

Activity Index ◽

Work Productivity ◽

Rank Correlation ◽

Ordinary Least Squares ◽

Statistical Correlation ◽

Least Squares Regression ◽

Mapping Algorithm ◽

Spearman’S Rank Correlation

Abstract Objectives To identify whether it is feasible to develop a mapping algorithm to predict presenteeism using multiattribute measures of health status. Methods Data were collected using a bespoke online survey in a purposive sample (n = 472) of working individuals with a self-reported diagnosis of Rheumatoid arthritis (RA). Survey respondents were recruited using an online panel company (ResearchNow). This study used data captured using two multiattribute measures of health status (EQ5D-5 level; SF6D) and a measure of presenteeism (WPAI, Work Productivity Activity Index). Statistical correlation between the WPAI and the two measures of health status (EQ5D-5 level; SF6D) was assessed using Spearman’s rank correlation. Five regression models were estimated to quantify the relationship between WPAI and predict presenteeism using health status. The models were specified based in index and domain scores and included covariates (age; gender). Estimated and observed presenteeism were compared using tenfold cross-validation and evaluated using Root mean square error (RMSE). Results A strong and negative correlation was found between WPAI and: EQ5D-5 level and WPAI (r = − 0.64); SF6D (r =− 0.60). Two models, using ordinary least squares regression were identified as the best performing models specifying health status using: SF6D domains with age interacted with gender (RMSE = 1.7858); EQ5D-5 Level domains and age interacted with gender (RMSE = 1.7859). Conclusions This study provides indicative evidence that two existing measures of health status (SF6D and EQ5D-5L) have a quantifiable relationship with a measure of presenteeism (WPAI) for an exemplar application of working individuals with RA. A future study should assess the external validity of the proposed mapping algorithms.

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