scholarly journals Hierarchical multiple regression modelling on predictors of neighbourhood satisfaction in violence-induced segregated urban environments

2021 ◽  
Keyword(s):  
Multiple Regression ◽  
Urban Environments ◽  
Hierarchical Multiple Regression ◽  
Regression Modelling ◽  
Neighbourhood Satisfaction

scholarly journals Fear of COVID-19 and COVID-19 Stress and Association with Sociodemographic and Psychological Process Factors in Cases under Surveillance in a Frontline Worker Population in Borneo

2021 ◽  
Vol 18 (13) ◽  
pp. 7210
Author(s):  
Nicholas Tze Ping Pang ◽  
Gracyvinea Nold Imon ◽  
Elisa Johoniki ◽  
Mohd Amiruddin Mohd Kassim ◽  
Azizan Omar ◽  
...  
Keyword(s):  
Multiple Regression ◽  
Psychological Flexibility ◽  
Risk Groups ◽  
Psychological Process ◽  
Process Variables ◽  
Cross Sectional ◽  
Hierarchical Multiple Regression ◽  
Epidemiological Risk ◽  
Frontline Worker ◽  
Process Factors

COVID-19 stress and fear of COVID-19 is an increasingly researched construct in the general population. However, its prevalence and association with sociodemographic factors and psychological process variables has not been explored in frontline workers under surveillance in a Bornean population. This study was a cross-sectional study using a sociodemographic questionnaire incorporating two specific epidemiological risk variables, namely specific questions about COVID-19 surveillance status (persons under investigation (PUI), persons under surveillance (PUS), and positive cases) and the nature of frontline worker status. Furthermore, five other instruments were used, with three measuring psychopathology (namely depression, anxiety and stress, fear of COVID-19, and stress due to COVID-19) and two psychological process variables (namely psychological flexibility and mindfulness). Kruskal–Wallis and Mann–Whitney tests were performed to assess if there were significant differences in psychopathology and psychological process variables between sociodemographic and epidemiological risk variables. Hierarchical multiple regression was further performed, with depression, anxiety, and stress as dependent variables. There were significant differences in the fear of COVID-19 between positive cases, PUI, and PUS. The fear of COVID-19 scores were higher in positive cases compared to in PUS and PUI groups. Upon hierarchical multiple regression, mindfulness and psychological flexibility were significant predictors of depression, anxiety, and stress after controlling for sociodemographic and epidemiological risk factors. This study demonstrates that exposure to COVID-19 as persons under investigation or surveillance significantly increases the fear of COVID-19, and brief psychological interventions that can positively influence mindfulness and psychological flexibility should be prioritized for these at-risk groups to prevent undue psychological morbidity in the long run.

Sustainable Approach towards Thai SMEs

2018 ◽  
pp. 1057-1078
Author(s):  
Siriluck Thongpoon ◽  
Noor Hazlina Ahmad ◽  
Imran Mahmud
Keyword(s):  
Factor Analysis ◽  
Multiple Regression ◽  
Exploratory Factor Analysis ◽  
Social Performance ◽  
Government Support ◽  
Hierarchical Multiple Regression ◽  
Sustainable Performance ◽  
Appropriate Practices ◽  
Sufficiency Economy Philosophy ◽  
Shed Light

This study examines issues surrounding the sustainability of SMEs in the context of Thailand. Sufficiency economy philosophy and government support are seen as important covariates that could foster sustainable performance of SMEs. A sample of 119 SME entrepreneurs in the South of Thailand participated in this study. Exploratory factor analysis and hierarchical multiple regression were conducted and the results demonstrated that some dimensions of sufficiency economy philosophy and government support are critical predictors of economic and social performance. Moreover, knowledge and morality are found to promote the principle of sufficiency economy philosophy, as such SME entrepreneurs should be cognizant of the potential effects of this philosophy. The appropriate practices can be equipped and nurtured through the values of sufficiency economy philosophy, which shed light on means to achieve firm sustainability.

Application and Interpretation of Hierarchical Multiple Regression

2016 ◽  
Vol 35 (5) ◽  
pp. 338-341 ◽  
Author(s):  
Younhee Jeong ◽  
Mi Jung Jung
Keyword(s):  
Multiple Regression ◽  
Hierarchical Multiple Regression

Neuropsychological functioning as a predictor of employment activity in a longitudinal study of HIV-infected adults contemplating workforce reentry

2009 ◽  
Vol 16 (1) ◽  
pp. 38-48 ◽  
Author(s):  
ROBERT A. CHERNOFF ◽  
DAVID J. MARTIN ◽  
DARYL A. SCHROCK ◽  
MELISSA P. HUY
Keyword(s):  
Logistic Regression ◽  
Multiple Regression ◽  
Cognitive Deficits ◽  
Verbal Memory ◽  
Neuropsychological Functioning ◽  
Ordinal Logistic Regression ◽  
Study Participation ◽  
Everyday Functioning ◽  
Hierarchical Multiple Regression ◽  
Visual Spatial

AbstractCognitive deficits are associated with HIV disease, and HIV-related cognitive deficits have been associated with declines in everyday functioning and vocational status. We administered a baseline neuropsychological (NP) test battery designed to assess estimated full-scale IQ, achievement, attention/concentration, executive function, language, mental speed, motor function, nonverbal memory, verbal memory, and visual-spatial function to a sample of 174 disabled, HIV-positive individuals enrolled in a randomized, controlled trial of a vocational-rehabilitation program. We then used these NP scores to predict employment at the end of participants’ study participation, using both hierarchical multiple regression and ordinal logistic regression models. The hierarchical multiple regression analyses did not predict participants’ employment activities at the end of study participation. In the ordinal logistic regression model, executive functioning weakly predicted employment status at the end of study participation and inspection of the predicted classifications revealed that 63% of the participants were incorrectly classified using this model. These results suggest that although predicting workforce reentry from NP testing may be statistically significant, NP testing may be of limited clinical value for informing the workforce reentry of disabled people with HIV who are interested in returning to work. (JINS, 2010, 16, 38–48.)

Sexual Satisfaction among Married Women Age 50 and Older

2000 ◽  
Vol 86 (3_part_2) ◽  
pp. 1107-1122
Author(s):  
Michael Young ◽  
George Denny ◽  
Tamera Young ◽  
Raffy Luquis
Keyword(s):  
Regression Analysis ◽  
Multiple Regression Analysis ◽  
Multiple Regression ◽  
Sexual Satisfaction ◽  
Married Women ◽  
Return Rate ◽  
Predictor Variables ◽  
Hierarchical Multiple Regression ◽  
Item Questionnaire ◽  
Stratified Sample

Correlates of sexual satisfaction were identified in a sample of older married women. A 70-item questionnaire was mailed to an age-stratified sample of 5,000 married persons, including 1,000 married women over the age of 50. Usable questionnaires were received from 148 participants (14.8% return rate). Hierarchical multiple regression analysis, using sexual satisfaction as the dependent variable, yielded five predictor variables that accounted for a significant portion of the variation in sexual satisfaction (Cumulative R2 = .73). These results serve as a reminder that sexual interactions cannot be compartmentalized but must be considered within the context of the overall marriage relationship. Given the low return rate, interpretations should be limited until replication with an adequate sample has been completed.

scholarly journals Examining the adequacy / efficiency of the legal regime regarding the right of employment for people with disabilities in Malaysia

2014 ◽  
Vol 9 ◽  
Author(s):  
Harlida Abdul Wahab
Keyword(s):  
Return To Work ◽  
Multiple Regression ◽  
Occupational Injury ◽  
Initial Study ◽  
Rehabilitation Program ◽  
Chronic Illnesses ◽  
Work Rehabilitation ◽  
Workplace Injury ◽  
Hierarchical Multiple Regression ◽  
Gainful Employment

Objective: The study aims to explore factors of workplace injury and chronic illnesses patients in a return to work program which are associated with return to work outcomes.Design: A retrospective cohort study. Setting: Return to Work Department, Social Security Organisation, Malaysia. Method: All participants of the Return to Work Rehabilitation Program who were absent from work due to workplace injury and chronic illnesses between January 2008 and December 2013 with no other history of injury were included. The main outcome of the study was the number in days from day one of injury prior to return of gainful employment. Hierarchical multiple regression methods were used to determine the identified factors that influence the return to work outcome.Results: An initial study with data from January 2008 and December 2011 of cases with occupational injury showed 66% (n = 1,552) of the participants had returned to work. The average number of days to return to work was 201 days. Hierarchical multiple regression analysis identified duration of referral to the Return to Work rehabilitation program, monthly salary, Whole Person Impairment ratings, DASS 21 anxiety and DASS 21 stress scale as factors that influenced return to work, explaining 32% of the variance. However a continuous for the remaining cases such as cases with chronic illnesses will be included in the final results of this study.Conclusion: Currently, a total of 66% participants had returned to employment after occupational injury. It is essential to understand the complex pathway from the point of injury and illnesses until returning to work in order to develop more effective return to work practices.

Profile and predictors of global distress: Can the DT guide nursing practice in prostate cancer?

2013 ◽  
Vol 12 (1) ◽  
pp. 5-14 ◽  
Author(s):  
Kerryann Lotfi-Jam ◽  
Karla Gough ◽  
Penelope Schofield ◽  
Sanchia Aranda
Keyword(s):  
Quality Of Life ◽  
Prostate Cancer ◽  
Supportive Care ◽  
Multiple Regression ◽  
Unmet Needs ◽  
Depressive Symptomatology ◽  
Psychological Morbidity ◽  
Hierarchical Multiple Regression ◽  
Distress Score

AbstractObjective:This study examines the ability of the distress thermometer to accurately identify patients with higher symptoms, unmet needs and psychological morbidity.Methods:Baseline data collected as part of a randomized controlled trial evaluating a nurse-led supportive care intervention for men with prostate cancer commencing radiotherapy at a specialist cancer hospital in Melbourne, Australia. Measures assessed global distress (DT), anxious and depressive symptomatology (HADS), prostate-cancer specific quality of life (EPIC-26), unmet supportive care needs (SCNS-SF34R) and cancer treatment-related concerns (CATS). Following descriptive and correlational analysis, hierarchical multiple regression was employed to examine the contribution of variable sets to explaining variance in DT scores.Results:Less than 20% of men reported DT scores of 4 or higher, indicating overall low distress. The DT accurately identified almost all men reporting HADS score indicative of anxious or depressive symptomatology, suggesting it accurately identifies psychological morbidity. Importantly, the DT identified a further group of distressed men, not identified by HADS, whose distress related to unmet needs and prostate cancer-specific issues, indicating the DT is superior in identifying other forms of distress. While the hierarchical multiple regression confirmed anxious and depressive symptomatology as the best predictor of distress score, many other scales are also good predictors of DT scores, supporting the argument that distress is multi-determined.Significance of results:Nurses can be confident that the DT accurately identifies patients with psychological morbidity and importantly identifies other patients with distress who may require intervention. A distress score of 4 or higher identified participants with higher physical symptomatology, higher unmet needs, more concerns about treatment and poorer quality of life. The low prevalence of distress reaching cut off scores suggests nurses would not be overwhelmed by the outcomes of screening and could use the score to prioritise the patients who need greater attention at entry to radiotherapy services.

Implications of JPEG2000 lossy compression on multiple regression modelling

2007 ◽  
Author(s):  
Alaitz Zabala ◽  
Xavier Pons ◽  
Francesc Aulí-Llinàs ◽  
Joan Serra-Sagristà
Keyword(s):  
Multiple Regression ◽  
Lossy Compression ◽  
Regression Modelling
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