Short-Term Annoyance Due to Tramway Noise: Determination of an Acoustical Indicator of Annoyance Via Multilevel Regression Analysis

2014 ◽  
Vol 100 (1) ◽  
pp. 34-45 ◽  
Author(s):  
A. Trollé ◽  
C. Marquis-Favre ◽  
A. Klein
Keyword(s):  
Regression Analysis ◽  
Multilevel Regression ◽  
Short Term ◽  
Multilevel Regression Analysis

scholarly journals Religion and everyday cosmopolitanism among religious and non-religious urban youth

2020 ◽  
pp. 001139212093294
Author(s):  
Ariadne Driezen ◽  
Gert Verschraegen ◽  
Noel Clycq
Keyword(s):  
Regression Analysis ◽  
Urban Youth ◽  
Intrinsic Religiosity ◽  
Multilevel Regression ◽  
Anova Analysis ◽  
Policy Makers ◽  
Multilevel Regression Analysis ◽  
Religious Identification ◽  
The Difference ◽  
One Way Anova

While there is ample research on everyday cosmopolitanism, the relation with religion is less understood. This study examines the difference in everyday cosmopolitanism between Muslim, Christian and non-religious urban youth. Further, it studies the influence of religiosity, religious identification and perceived discrimination on cosmopolitanism. A one-way ANOVA analysis was conducted on data from 1039 students in 17 secondary schools in the super-diverse city of Antwerp. Multilevel regression analysis was conducted on a sample of Muslim ( n = 496) and Christian ( n = 225) youth. The results indicate no difference between religious and non-religious youth regarding their everyday cosmopolitanism. Moreover, for Muslim youth, intrinsic religiosity is positively associated with cosmopolitan orientations, while religious identification and discrimination negatively effect cosmopolitanism. For Christian youth, religious factors do not explain their cosmopolitan orientations. Overall, the article suggests that scholars and policy makers should discuss the potential of religion to foster cosmopolitan orientations.

When Unnecessary Tasks Weigh Heavily on the Back: A Diary Study on Musculoskeletal Pain

2021 ◽  
pp. 216507992199483
Author(s):  
Yannik Faes ◽  
Achim Elfering
Keyword(s):  
Risk Factors ◽  
Body Mass Index ◽  
Decision Making ◽  
Regression Analysis ◽  
Musculoskeletal Pain ◽  
Body Mass ◽  
Office Workers ◽  
Multilevel Regression ◽  
Multilevel Regression Analysis ◽  
Prolonged Sitting

Background: Auxiliary tasks such as administrative work often include tasks that are unnecessary in the view of workers but still have to be done. These tasks can threaten a worker’s self-esteem. The purpose of this study was to examine the effects of unnecessary and unreasonable tasks on musculoskeletal pain. Methods: Fifty-five office workers (29 male; mean age = 41.96, SD = 14.2 years) reported their unnecessary and unreasonable tasks at the beginning of the study and kept a diary of their daily musculoskeletal pain over 5 weeks, using a visual analogue scale. Other work-related risk factors (prolonged sitting), job resources (participation in decision-making), and individual risk factors (sex, smoking, exercise, body mass index, maladaptive back beliefs) were controlled for in multilevel regression analysis. Findings: Multilevel regression analysis with 742 reports showed unnecessary tasks ( B = 4.27, p = .006)—but not unreasonable tasks ( B = 3.05, p = .074)—to predict the daily intensity of musculoskeletal pain, beyond other significant risk factors, such as prolonged sitting ( B = 2.06, p = .039), body mass index ( B = 1.52, p < .001), and maladaptive back beliefs ( B = 3.78, p = .003). Participation in decision-making was not a significant protective factor ( B = −1.67, p = .176). Conclusions/Application to Practice: The higher frequency of unnecessary tasks—compared with unreasonable tasks—could place workers at risk for musculoskeletal pain. Work redesign that reduces unnecessary and unreasonable tasks can make a valuable contribution to worker health and safety among office workers.

Sound quality metric indicators of rotorcraft noise annoyance using multilevel regression analysis

2019 ◽  
Vol 145 (3) ◽  
pp. 1899-1899
Author(s):  
Matthew Boucher ◽  
Siddhartha Krishnamurthy ◽  
Andrew Christian ◽  
Stephen A. Rizzi
Keyword(s):  
Regression Analysis ◽  
Sound Quality ◽  
Multilevel Regression ◽  
Quality Metric ◽  
Multilevel Regression Analysis ◽  
Noise Annoyance
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