scholarly journals Resilience, fear of COVID-19 and their relationship with cognitive functioning and mood: a study on the administrative staff of the University of Western Macedonia, Greece

2021 ◽  
Vol 4 (Special3) ◽  
pp. 458-565
Author(s):  
Katerina Flora ◽  
Triantafyllia Georgiadou ◽  
Kalliopi Megari ◽  
Iraklis Grigoropoulos ◽  
Vasilis Chasiotis

Background: The present study examines the relationship between resilience, mood, fear for Covid-19, and cognitive functioning during pandemic Covid-19.  Methods: A cross-sectional web-based study was conducted from December 2020 to January 2021 among the administrative staff of the University of Western Macedonia, Greece. Data was collected using the Connor-Davidson Resilience Scale (CD-RISC), Depression, Anxiety, and Stress (DASS 21), fear of Covid-19 scales (FCV-19S), and Cognitive functioning self-assessment scale (CFSS). Univariate, bivariate, and multivariate analysis was performed using an independent Sample T-Test, Chi-Square Test, One-way ANOVA, Mann-Whitney U Test, Kruskal-Wallis H Test, Spearman's Rank-Order Correlations, Pearson product-moment correlations, and Simple Linear Regression. SPSS version 22 was used for data analysis and the statistical significance was considered at less than 0.05. Results: Data of 88 university's administrative staff has undergone final analysis. Most of the respondents were females (78.4%), married (61.3%), middle-aged group (64.8%), held a post-graduate degree (56.8%) and 94.3% stated that they had not been sick with Covid-19. Our findings showed that the middle-aged group has statistically significantly higher fear on Covid-19 (P = 0.046), and more care of personal hygiene, stress (P = 0.040), than the young age group respectively. Women had a statistically significantly higher restriction to physical contact compared to men (P = 0.042), however, men had statistically significantly more trusted the results of clinical trials of Covid-19 vaccines than women (P = 0.039), respectively. There was statistically significant and negative correlation between Resilience (CD) and cognitive functioning (r = -0.412, n = 87, P < 0.001). Furthermore, the result of a simple linear regression showed that an increase of one in CD corresponded to a 0.287 decrease in cognitive functioning. Conclusion: It is vital to continue monitoring the psychological and cognitive effects of the Covid-19 pandemic.

2019 ◽  
Vol 2 (1) ◽  
pp. 224
Author(s):  
Devi Ratnasari ◽  
Diah Febi Utami ◽  
Dikka Ramadhan R ◽  
Edi Sukendar ◽  
Fanny Tania ◽  
...  

The purpose of the study was to find out the description of Positioning, to find out the description of the Purchase Decision, to find out how much influence Positioning had on the Purchase Decision. The population in this study were students of the University of Singaperbangsa Karawang who had consumed Teh Botol Sosro as many as 16,291 and taken as many as 100 respondents using the Slovin formula with an error rate of 10% through random sampling method. The analysis technique used is simple linear regression analysis and classic assumption test. Tests were carried out with the help of SPSS version 24 software. The results of the study showed that the positioning partially had a positive and significant effect on purchasing decisions. This conclusion shows that positioning has a good influence so that it encourages consumers to make purchasing decisions on a product, especially Teh Botol Sosro products. Therefore, this research is expected to be carried out widely by future researchers.


2018 ◽  
Vol 10 (2) ◽  
pp. 103
Author(s):  
Gunawan - Saleh ◽  
Ribka Pitriani

Social media is now highly favored by many and considered quite effective by the people of Indonesia. One example taken in this study is the social media Instagram and WhatsApp, as social media is considered to affect the forms of activity and its behavior. This study aims to investigate the influence of social media Instagram and WhatsApp against the cultural establishment "Alone Together" at the University of Riau by using the theory of SOR (Stimulus-Organism-Response) as its foundation. This study uses a quantitative research in which data was collected through questionnaires distributed to 100 respondents who are students at the University of Riau by category determined by accidental sampling, and analyzed by simple linear regression program helped IBM SPSS version 20.0. This study examined whether or not the influence of indicators of variable X (Social Media Instagram and WhatsApp) to variable Y (culture Alone Together). Technology to fill the void and satisfaction with technology. Based on the results obtained through the SPSS 20.0 correlation coefficient of 0.403, 0.403 value lies between the value of 0,40-0.599 that was meaningful relationships, meaning that there is the influence of social media Instagram and WhatsApp against the cultural establishment in Riau University Alone Together with the effect of 16.3%, while the remaining 83.7% is influenced by other variables.  Media sosial saat ini sangat digemari oleh berbagai kalangan dan dianggap cukup efektif oleh masyarakat Indonesia. Salah satu contoh yang diambil dalam penelitian ini adalah media sosial Instagram dan WhatsApp. Adapun media sosial ini dinilai dapat mempengaruhi bentuk aktifitas, dan perilaku penggunanya. Penelitian ini bertujuan untuk mengetahui pengaruh media sosial Instagram dan WhatsApp terhadap pembentukan budaya “Alone Together” di Universitas Riau dengan menggunakan teori S-O-R (Stimulus-Organisme-Response) sebagai landasannya. Penelitian ini menggunakan metode riset kuantitatif dimana data dikumpulkan melalui kuesioner yang disebarkan kepada 100 responden yang merupakan mahasiswa di Universitas Riau dengan kategori yang ditentukan berdasarkan accidental sampling, dan dianalisis melalui regresi linier sederhana dibantu program IBM SPSS versi 20.0. Penelitian ini menguji ada atau tidaknya pengaruh indikator dari variabel X (Media Sosial Instagram dan WhatsApp) terhadap variabel Y (budaya Alone Together). Teknologi untuk mengisi kekosongan dan kepuasan atas Teknologi. Berdasarkan hasil pencarian melalui SPSS 20.0 maka didapat nilai koefisien korelasi sebesar 0,403, nilai 0,403 terletak diantara nilai 0,40-0,599 yaitu bermakna memiliki hubungan yang sedang, artinya terdapat pengaruh antara media sosial Instagram dan WhatsApp terhadap pembentukan budaya Alone Together di Universitas Riau dengan pengaruh sebesar 16,3%, sedangkan sisanya sebesar 83,7% dipengaruhi oleh variabel lain.


2021 ◽  
Author(s):  
Ronaldo Mangueira Lima Jr ◽  
Guilherme Duarte Garcia

[PORTUGUESE ABSTRACT] Neste estudo, demonstramos como significância estatística pode variar a partir da comparação de quatro métodos distintos: teste t, ANOVA (seguida de Tukey HSD), modelo linear simples, e modelo linear de efeitos mistos. Em nossa demonstração, modelamos tempos de reação em função de diferentes afixos em dinamarquês, e mostramos como nossas conclusões a respeito do efeito de certos afixos podem mudar categoricamente dependendo de qual dos métodos mencionados acima decidimos utilizar. Por fim, reiteramos o que dizem estudos recentes, e sugerimos que modelos de efeitos mistos devam ser a norma sempre que dados agrupados forem analisados. Esperamos, com este estudo, alertar pesquisadores da área para a importância de decisões analíticas bem informadas e éticas em estudos linguísticos.[ENGLISH ABSTRACT] In this study, we illustrate the potential variability of statistical significance by comparing four different methods, namely, t-test, ANOVA (followed by Tukey HSD), simple linear regression, and mixed effects linear regression. In our demonstration, we model reaction times as a function of different affixes in Danish, and show how our conclusions regarding the effect of certain affixes can change categorically depending on which of the aforementioned methods we choose to use. Finally, we echo recent studies and suggest that mixed effects models be the norm whenever grouped data is analyzed. With our comparison, we hope to raise researchers’ awareness to the need for well-informed and ethical analytical decisions in linguistic studies.


2021 ◽  
Vol 9 ◽  
Author(s):  
Lefei Han ◽  
Shi Zhao ◽  
Peihua Cao ◽  
Marc K. C. Chong ◽  
Jingxuan Wang ◽  
...  

Background: Several recent studies reported a positive (statistical) association between ambient nitrogen dioxide (NO2) and COVID-19 transmissibility. However, considering the intensive transportation restriction due to lockdown measures that would lead to declines in both ambient NO2 concentration and COVID-19 spread, the crude or insufficiently adjusted associations between NO2 and COVID-19 transmissibility might be confounded. This study aimed to investigate whether transportation restriction confounded, mediated, or modified the association between ambient NO2 and COVID-19 transmissibility.Methods: The time-varying reproduction number (Rt) was calculated to quantify the instantaneous COVID-19 transmissibility in 31 Chinese cities from January 1, 2020, to February 29, 2020. For each city, we evaluated the relationships between ambient NO2, transportation restriction, and COVID-19 transmission under three scenarios, including simple linear regression, mediation analysis, and adjusting transportation restriction as a confounder. The statistical significance (p-value &lt; 0.05) of the three scenarios in 31 cities was summarized.Results: We repeated the crude correlational analysis, and also found the significantly positive association between NO2 and COVID-19 transmissibility. We found that little evidence supported NO2 as a mediator between transportation restriction and COVID-19 transmissibility. The association between NO2 and COVID-19 transmissibility appears less likely after adjusting the effects of transportation restriction.Conclusions: Our findings suggest that the crude association between NO2 and COVID-19 transmissibility is likely confounded by the transportation restriction in the early COVID-19 outbreak. After adjusting the confounders, the association between NO2 and COVID-19 transmissibility appears unlikely. Further studies are warranted to validate the findings in other regions.


10.32698/0642 ◽  
2019 ◽  
Vol 2 (2) ◽  
pp. 120
Author(s):  
Wiwi Delfita ◽  
Neviyarni S. ◽  
Riska Ahmad

Some students perceive lesbian, gay, bisexual, and transgender (LGBT) positively, even though LGBT is a sexual deviation that is not appropriate with values and norms. There are several factors that influence an individual's perception of LGBT, including sexual identity. This study aims at looking at the contribution of sexual identity to student perceptions about LGBT. This research used a quantitative approach with a descriptive method and a simple linear regression analysis. The sample of this research was 385 taken from 15.752 undergraduate students of Universitas Negeri Padang which the sample was drawn by using the Slovin formula and continued with a Proportional Random Sampling technique. The instrument used was the Guttman model's sexual identity scale and the scale of students' perceptions of the LGBT Likert model. After analyzing the data with the descriptive technique and the simple linear regression analysis, the results showed that sexual identity significantly contributed to the students' perceptions of LGBT. This research has implications as a basis for counselors to help students avoid sexual identity mismatches and prevent the emergence of positive perceptions of LGBT.


2019 ◽  
Vol 4 (2) ◽  
pp. 17
Author(s):  
Dedy Mulyadi ◽  
Didik Purwanto

The question of compensation in addition to sensitive to be driving someone to worl due to an effect on morale and discipline employees. Therefore , any  agency or any organization should be able to provide compensation equal to the workload  to create a workforce that efficient and effective manner can be realized. Amaore than that, the company’s goal to improve performance. Performance assessment is a subjective process that involves human judgments. Thus, performance assessment is very likely wrong and very easily influonced by sources that are not actual, so it must be taken into account and considered reasinable. Frformance appraisals are considered  to meet the target if it has a good impact on new employees who rated their performance. Simple linear regression analysis using SPSS version 12:00 data processing obtained tegression equation Y = 0,487 X 74 + with an explanation of X = award, 74 = constant, 0.487 = coefficient awards, and Y = performance based on simple linear regression equation in case of increase of one unit of the  performance award will be increased 0.487 units. If company policy negates the performance award will remain at a constant rate (74) units . (A) Test results obtained thitung significant constants of (12.574) > t table for (1.960 then reject Ho constanta significant meaning. (B) significant Test award coefficient t count the results obtained by (2.164)> t table foe (1.96) then reject Ho the mean coeffent of appreciation affect the performance . (C) correlation coefficient analysis is done by calculating the product moment corration (pearson)  to test  whether or not a strong  relationship between the variables X  dan Y , based on the results of cakculations with SPSS  table valuse obtained by calculating the  correlation coefficient r (0.3100> r on the table for a = 0,05 (0.291) then reject Ho, which means there is a relationship of respect for performance. When we enter these valuse in the table shows the interpretation of the correlation coefficient between the interval from 0.20 to 0.399 which has a low relationship


2019 ◽  
Vol 10 (9) ◽  
pp. 902-909
Author(s):  
Umbas Krisnanto ◽  
◽  
Conny Marpaung ◽  

This study aims to determine and analyze the influence of Service Quality and Customer Satisfaction on Customer Loyalty in Jabodetabek Commuter Line. The sample of this study was 50 people. Methods of collecting data by distributing questionnaires. Data analysis using the analysis used is simple linear regression, t test and coefficient of determination. The results showed 1) Service Quality has a positive and significant effect on Customer Loyalty in Jabodetabek Commuter Line, with a significance level of 0.048; and supported by the results of hypothesis testing with a t-count value of 4.433 > t-table value of 1.95, with a significance of 0.048 or < 0.05; 2) Customer Satisfaction positive and significant effect on Customer Loyalty in Jabodetabek Commuter Line, with a level significance of 0,000; and supported by the results of hypothesis testing with a t-count value of 4,969 > t-table value of 1.95, with a significance of 0,000 or < 0.05, 3) Service quality and Customer Satisfaction have a positive and significant effect on Customer Loyalty in Jabodetabek Commuter Line, with a significance level of 0,000. This means that the hypothesis H0 is rejected and Ha is accepted so that it can be concluded that service quality and customer satisfaction together have a positive and significant effect on customer loyalty in Jabodetabek Commuter Line.


2019 ◽  
Vol 3 (2) ◽  
pp. 26
Author(s):  
Niken Ayu Wulandari ◽  
Tegoeh Hari Abrianto ◽  
Edi Santoso

This research to analyze and evaluate intellectual capital on financial performance obtained by return on equity, asset turnover and growth in revenue. The population in this study are consumer goods companies listed on the Stock Exchange in 2015-2017. The research sample was received by 21 companies obtained by using purposive sampling technique. The analytical method used is simple linear regression analysis with the SPSS version 20 application and uses the VAICTM method to measure intellectual capital. The results of this study indicate that intellectual capital has a significant effect on financial performance generated by return on equity, but intellectual capital does not have a significant effect on financial performance required by asset turnover and growth in revenue.


Author(s):  
Fransiskus Ginting ◽  
Efori Buulolo ◽  
Edward Robinson Siagian

Data Mining is an information discovery by extracting information patterns that contain trend searches in a very large amount of data and assist the process of storing data in making a decision in the future. In determining the pattern classification techniques do to collect records (Training set). Regional income is generally derived from local taxes and levies, local taxes are one source of funding for the region on the national average has not been able to make a large contribution to the formation of local revenue. By utilizing Regional Revenue data, it can produce forecasting and predictions of Regional Revenue income in the future to match the reality / reality so that the planned RAPBD can run smoothly. Simple Linear Regression or often abbreviated as SLR (Simple Linear Regression) is one of the statistical methods used in production to make predictions or predictions about the characteristics of quality and quantity to describe the processes associated with data processing for the acquisition of regional income. So that in the testing phase with visual basic net can help in processing valid Regional Revenue Amount data. Keywords: Data Mining, Local Revenue, Simple Linear Regression Algorithm, Visual Basic net 2008


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