scholarly journals Hubungan Antara Work Family Integration dan Meaningful Work pada Remote Worker

2021 ◽  
Vol 6 (5) ◽  
pp. 2150
Author(s):  
Feby Satya Wirawati ◽  
Anissa Lestari Kadiyono
Keyword(s):  
Meaningful Work ◽  
Kendall’S Tau ◽  
Kendall's Tau ◽  
Spearman Rank ◽  
Family Integration ◽  
Work Family

Penelitian ini dimaksudkan untuk mengetahui hubungan antara work family integration dan meaningfull work. Work family integration akan membuat keseimbangan antara peran kerja serta peran keluarga sehingga pekerja remote worker dapat merasakan keseimbangan dalam hidupnya serta merasakan kebermaknaan dalam pekerjaannya. Jumlah partisipan pada penelitian ini sebanyak 30 orang dengan teknik pengambilan sampel yang digunakan adalah total sampling. Instrumen yang digunakan dalam penelitian ini adalah Integration-Segmentation Preferences Supplies (Kreiner, 2000) dan The Work and Meaning Inventory (Steger, 2012). Berdasarkan hasil uji somer’s d didapatkan hasil p=0.032 (p<0.05) dengan d=0.885, kendall’s tau p=0.033 (p<0.05) dengan τ=0.887 dan spearman rank 0.014 (p<0.05) dengan rs=0.967. Hal tersebut mengindikasikan terdapat hubungan antara work family integration dan meaningfull work.

scholarly journals Correlation Test Application of Supplier’s Ranking Using TOPSIS and AHP-TOPSIS Method

CAUCHY ◽  
2016 ◽  
Vol 4 (2) ◽  
pp. 65 ◽  
Author(s):  
Ika Yuniwati
Keyword(s):  
Ordinal Data ◽  
Selection Process ◽  
Rank Correlation ◽  
P Value ◽  
Topsis Method ◽  
Kendall’S Tau ◽  
Kendall's Tau ◽  
Spearman Rank ◽  
Correlation Test ◽  
Spearman’S Rank Correlation

The supplier selection process can be done using multi-criteria decision making (MCDM) methods in firms. There are many MCDM Methods, but firms must choose the method suitable with the firm condition. Company A has analyzed supplier’s ranking using TOPSIS method. TOPSIS method has a marjor weakness in its subjective weighting. This flaw is overcome using AHP method weighting having undergone a consistency test. In this study, the comparison of supplier’s ranking using TOPSIS and AHP-TOPSIS method used correlation test. The aim of this paper is to determine different result from two methods. Data in suppliers’ ranking is ordinal data, so this process used Spearman’s rank and Kendall’s tau b correlation. If most of the ranked scored are same, Kendall’s tau b correlation should be used. The other way, Spearman rank should be used. The result of this study is that most of the ranked scored are different, so the process used Spearman rank p-value of Spearman’s rank correlation of 0.505. It is greater than 0.05, means there is no statistically significant correlation between two methods. Furthermore, increment or decrement of supplier’s ranking in one method is not significantly related to the increment or decrement of supplier’s ranking in the second method

scholarly journals Workload for radiologists during on-call hours: dramatic increase in the past 15 years

2020 ◽  
Vol 11 (1) ◽  
Author(s):  
R. J. M. Bruls ◽  
R. M. Kwee
Keyword(s):  
Western Europe ◽  
Kendall Test ◽  
Kendall’S Tau ◽  
Kendall's Tau ◽  
X Ray ◽  
The Past ◽  
Relative Value ◽  
Burn Out ◽  
Picture Archiving And Communication ◽  
Ct Studies

Abstract Background The objective of this study is to investigate the workload for radiologists during on-call hours and to quantify the 15-year trend in a large general hospital in Western Europe. Methods Data regarding the number of X-ray, ultrasound and computed tomography (CT) studies during on-call hours (weekdays between 6.00 p.m. and 7.00 a.m., weekends, and national holidays) between 2006 and 2020 were extracted from the picture archiving and communication system. All studies were converted into relative value units (RVUs) to estimate the on-call workload. The Mann–Kendall test was performed to assess the temporal trend. Results The total RVUs during on-call hours showed a significant increase between 2006 and 2020 (Kendall's tau-b = 0.657, p = 0.001). The overall workload in terms of RVUs during on-call hours has quadrupled. The number of X-ray studies significantly decreased (Kendall's tau-b = − 0.433, p = 0.026), whereas the number of CT studies significantly increased (Kendall's tau-b = 0.875, p < 0.001) between 2006 and 2020. CT studies which increased by more than 500% between 2006 and 2020 are CT for head trauma, brain CTA, brain CTV, chest CT (for suspected pulmonary embolism), spinal CT, neck CT, pelvic CT, and CT for suspected aortic dissection. The number of ultrasound studies did not change significantly (Kendall's tau-b = 0.202, p = 0.298). Conclusions The workload for radiologists during on-call hours increased dramatically in the past 15 years. The growing amount of CT studies is responsible for this increase. Radiologist and technician workforce should be matched to this ongoing increasing trend to avoid potential burn-out and to maintain quality and safety of radiological care.

scholarly journals High association of COVID-19 severity with poor gut health score in Lebanese patients

PLoS ONE ◽  
2021 ◽  
Vol 16 (10) ◽  
pp. e0258913
Author(s):  
Imad Al Kassaa ◽  
Sarah El Omari ◽  
Nada Abbas ◽  
Nicolas Papon ◽  
Djamel Drider ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Regression Models ◽  
Equal Proportion ◽  
Gut Health ◽  
Kendall’S Tau ◽  
High Association ◽  
Kendall's Tau ◽  
Health Score ◽  
Logistic Regression Models ◽  
The Impact

Background Coronavirus disease 2019 (COVID-19) has affected millions of lives globally. However, the disease has presented more extreme challenges for developing countries that are experiencing economic crises. Studies on COVID-19 symptoms and gut health are scarce and have not fully analyzed possible associations between gut health and disease pathophysiology. Therefore, this study aimed to demonstrate a potential association between gut health and COVID-19 severity in the Lebanese community, which has been experiencing a severe economic crisis. Methods This cross-sectional study investigated SARS-CoV-2 PCR-positive Lebanese patients. Participants were interviewed and gut health, COVID-19 symptoms, and different metrics were analyzed using simple and multiple logistic regression models. Results Analysis of the data showed that 25% of participants were asymptomatic, while an equal proportion experienced severe symptoms, including dyspnea (22.7%), oxygen need (7.5%), and hospitalization (3.1%). The mean age of the participants was 38.3 ±0.8 years, and the majority were males (63.9%), married (68.2%), and currently employed (66.7%). A negative correlation was found between gut health score and COVID-19 symptoms (Kendall’s tau-b = -0.153, P = 0.004); indicating that low gut health was associated with more severe COVID-19 cases. Additionally, participants who reported unhealthy food intake were more likely to experience severe symptoms (Kendall’s tau-b = 0.118, P = 0.049). When all items were taken into consideration, multiple ordinal logistic regression models showed a significant association between COVID-19 symptoms and each of the following variables: working status, flu-like illness episodes, and gut health score. COVID-19 severe symptoms were more common among patients having poor gut health scores (OR:1.31, 95%CI:1.07–1.61; P = 0.008), experiencing more than one episode of flu-like illness per year (OR:2.85, 95%CI:1.58–5.15; P = 0.001), and owning a job (OR:2.00, 95%CI:1.1–3.65; P = 0.023). Conclusions To our knowledge, this is the first study that showed the impact of gut health and exposure to respiratory viruses on COVID-19 severity in Lebanon. These findings can facilitate combating the pandemic in Lebanon.

scholarly journals Hubungan Screen Based Activity dan Perilaku Makan dengan Status Gizi Anak Usia 10-12 Tahun (Studi di SDI Darush Sholihin Kabupaten Nganjuk)

2021 ◽  
Vol 5 (3) ◽  
pp. 223
Author(s):  
Silvia Alfinnia ◽  
Lailatul Muniroh ◽  
Dominikus Raditya Atmaka
Keyword(s):  
Food Frequency Questionnaire ◽  
Random Sampling ◽  
Kendall’S Tau ◽  
Cross Sectional ◽  
Kendall's Tau ◽  
Food Frequency ◽  
Food Recall

ABSTRAK Latar Belakang: Anak usia sekolah mengalami peningkatan kebutuhan gizi untuk tumbuh kembang. Di usia ini, anak-anak bisa memilih makanan maupun media bermain sesuai keinginan mereka. Aktivitas menggunakan layar yang berlebih serta perilaku makan yang buruk dapat memicu terjadinya obesitas.Tujuan: Penelitian ini bertujuan untuk menganalisis hubungan Screen Based Activity (SBA) dan perilaku makan dengan status gizi anak usia sekolah.Metode: Penelitian ini merupakan penelitian observasional analitik dengan desain penelitian cross sectional. Penelitian dilakukan di SDI Darush Sholihin Kabupaten Nganjuk. Besar sampel sebanyak 48 siswa yang dipilih secara proportional random sampling. Pengumpulan data meliputi berat badan, tinggi badan, kuesioner SBA, Food Frequency Questionnaire (FFQ), serta food recall 2x24 jam. Data dianalisis menggunakan uji korelasi Spearman dan Kendall’s tau dengan nilai signifikansi 0,05.Hasil: Hasil penelitian menunjukkan bahwa tidak ada hubungan SBA (p=0,151), perilaku makan makanan pokok (p=0,101), perilaku makan lauk hewani (p=0,212), perilaku makan lauk nabati (p=0,829), perilaku makan sayuran (p=0,751) dan perilaku makan jajanan (p=0,109) dengan status gizi. Namun, terdapat hubungan perilaku makan buah (p=0,040) dengan status gizi.Kesimpulan: Konsumsi buah-buahan yang sering tanpa memperhatikan kandungan gula dan cara penyajian dapat memberikan risiko obesitas pada anak. Diperlukan pendidikan gizi kepada pihak sekolah maupun orang tua mengenai pembatasan SBA dan perilaku makan sehat terutama buah untuk mencapai tumbuh kembang yang optimal dan terhindar dari obesitas.

scholarly journals Citation Counts as a Measure for Scientific Impact

2019 ◽  
Author(s):  
Jari Burgers
Keyword(s):  
Rank Order ◽  
Citation Count ◽  
Kendall’S Tau ◽  
Kendall's Tau ◽  
Scientific Impact ◽  
Total Citation ◽  
Citation Counts ◽  
The Difference ◽  
Lower Correlation ◽  
Ranked List

This thesis presents a look into citation counts as a measure for scientific impact which in turn is used to determine the replication value (RV). first, by comparing citation sources (WoS, Crossref, Scopus and Scite) from which citation counts can be retrieved. Secondly, by removing contradicting citations from the citation count, and comparing this new citation count without contradicting citations with the original total citation count. In both cases, based on the citation count, rank order lists are formed which are compared with the use of two tests. First, Kendall’s tau is calculated to see how well the compared pairs of lists correlate. Second, the rank biased overlap (RBO) is calculated to see how well pairs of lists overlap. The RBO is different than Kendall’s tau because it is able to give more weight to citation counts at the top of the list emphasizing the importance of high ranked articles as opposed to low ranked articles. Both measures indicate a significant correlation and overlap between ranked lists originating from Scopus and Crossref and WoS, and a lower correlation and overlap between Scite and all other sources. Based on the difference between Scite and all other sources, Scite is not yet the best choice as a citation source for determining scientific impact. Both measures also indicate a strong correlation and overlap between the ranked list formed from the total citation counts and the ranked list formed from the total citation count minus the contradicting citations. Based on this high correlation and overlap, taking out contradicting citations is not needed when determining scientific impact.

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