scholarly journals Perceived Innovativeness, Entrepreneurship Education, and University Support: A Multilevel Analysis of Students’ Start-Up Intention

2021 ◽  
Author(s):  
Zahoor Ahmad Paray ◽  
Sumit Kumar ◽  
Adarsh Kalia
Keyword(s):  
Linear Regression ◽  
Multiple Linear Regression ◽  
Primary Data ◽  
Cross Sectional Survey ◽  
Cross Sectional ◽  
Scale Type ◽  
Start Up ◽  
University Support ◽  
Study Type ◽  
Degree Level

Study type: Quantitative<div>Data: Primary data </div><div>Sample size: 398 </div><div>Design: Cross sectional survey</div><div>Respondents: University students </div><div>Degree level: Undergraduate and Post-graduate</div><div>Techniques: Multiple linear regression</div><div>Scale type: 5 point Likert scale</div><div>Software: SPSS</div><div><br></div>

scholarly journals Perceived Innovativeness, Entrepreneurship Education, and University Support: A Multilevel Analysis of Students’ Start-Up Intention

2021 ◽  
Author(s):  
Zahoor Ahmad Paray ◽  
Sumit Kumar ◽  
Adarsh Kalia
Keyword(s):  
Linear Regression ◽  
Multiple Linear Regression ◽  
Primary Data ◽  
Cross Sectional Survey ◽  
Cross Sectional ◽  
Scale Type ◽  
Start Up ◽  
University Support ◽  
Study Type ◽  
Degree Level

Study type: Quantitative<div>Data: Primary data </div><div>Sample size: 398 </div><div>Design: Cross sectional survey</div><div>Respondents: University students </div><div>Degree level: Undergraduate and Post-graduate</div><div>Techniques: Multiple linear regression</div><div>Scale type: 5 point Likert scale</div><div>Software: SPSS</div><div><br></div>

scholarly journals The influence of nurse education and training on communication, emotional intelligence, and empathy

2019 ◽  
Vol 53 ◽  
Author(s):  
Vicente Javier Prado-Gascó ◽  
María del Carmen Giménez-Espert ◽  
Selene Valero-Moreno
Keyword(s):  
Emotional Intelligence ◽  
Linear Regression ◽  
Multiple Linear Regression ◽  
Education And Training ◽  
Cross Sectional Study ◽  
Nurse Education ◽  
Specialized Training ◽  
Cross Sectional ◽  
Degree Level ◽  
And Training

ABSTRACT Objective: To determine the influence of nurse education and training on attitudes towards communication, emotional intelligence, and empathy. Method: A cross-sectional study was conducted using three separate instruments to measure attitudes towards communication, empathy, and emotional intelligence, and two questions to determine the academic qualifications of the study participants. The effect of the variables was tested using one-way ANOVA, Pearson correlations, and hierarchical multiple linear regression. Results: The study sample comprised 438 nurses from hospitals in Valencia, Spain. Differences in subscale scores of the instruments according to degree level and specialized training were observed, showing that nurses with only a degree and less specialized training had lower capacity for empathy and emotional intelligence. The strongest correlations were found between the factors of the communication dimensions. Multiple linear regression showed that perspective taking and emotional clarity had the greatest predictive power. Conclusion: Degree level and specialized training were shown to influence the study variables and it is therefore necessary to prioritize education and training programs that promote the development of these skills to ensure improved service quality.

scholarly journals Attitudes and precaution practices towards  COVID-19 among pregnant women in Singapore : A cross-sectional survey

2020 ◽  
Author(s):  
RYAN WAI KHEONG LEE ◽  
LOY SEE LING ◽  
YANG LIYING ◽  
JERRY CHAN KOK YEN ◽  
TAN LAY KOK
Keyword(s):  
High Risk ◽  
Linear Regression ◽  
Pregnant Women ◽  
Multiple Linear Regression ◽  
Online Survey ◽  
Clinical Aspects ◽  
Front Line ◽  
Cross Sectional Survey ◽  
Cross Sectional ◽  
Frontline Staff

Abstract BackgroundCOVID-19 may predispose pregnant women to higher risks of severe disease and poorer neonatal outcome. Psychological sequalae of this pandemic may pose a greater conundrum than its clinical aspects. It is currently unknown that how pregnant women cope with this global pandemic and its ramifications. The aims of the study are to understand the attitudes and precaution practices of non-infected pregnant women towards the COVID-19 outbreak in Singapore.Methods An online cross-sectional survey of COVID-19 awareness among pregnant women attending antenatal clinics in Singapore was conducted. An internet link was provided to complete an online electronic survey on Google platform using a quick response (QR) code on mobile devices. The online survey consists of 34 questions that were categorized into 4 main sections, namely 1) social demographics 2) attitude on safe distancing measures 3) precaution practices and 4) perceptions of COVID-19. Multiple linear regression analysis was performed to examine women’s precaution practices among six independent socio-demographic variables, including age, ethnicity , education , front-line jobs, history of miscarriage and type of antenatal clinic (general , high risk).ResultsA total of 167 survey responses were obtained over eight weeks from April to June 2020. The majority of women were aged ≤35 years (76%, n=127), were of Chinese ethnicity (55%, n=91), attained tertiary education (62%, n=104) and were not working as frontline staff (70%). Using multiple linear regression models, Malay ethnicity (vs. Chinese, β 0.24; 95% CI 0.04, 0.44) was associated with higher frequency of practicing social distancing. Malay women (β 0.48; 95% CI 0.16, 0.80) and those who worked as frontline staff (β 0.28; 95% CI 0.01, 0.56) sanitized their hands at higher frequencies. Age of ≥36 years (vs. ≤30 years, β 0.24; 95% CI 0.01, 0.46), Malay (vs. Chinese, β 0.27; 95% CI 0.06, 0.48) and Indian ethnicity (vs. Chinese, β 0.41; 95% CI 0.02, 0.80), and attendance at high-risk clinic (vs. general clinic, β 0.20; 95% CI 0.01, 0.39) were associated with higher frequency of staying-at-home.ConclusionSocial demographical factors including age > 36 years old, Malay ethnicity, employment in front line jobs and attendance at high-risk clinics are likely to influence the attitudes and precaution practices among pregnant women towards COVID-19 in Singapore. Knowledge gained from our cross-sectional online survey can better guide clinicians to communicate better with pregnant women. Hence, it is important for clinicians to render appropriate counselling and focused clarification on the effect of COVID-19 among pregnant women for psychological support and mental wellbeing.

Evaluation of Community Perception towards Tourism Industry

2015 ◽  
Vol 4 (4) ◽  
pp. 31-53
Author(s):  
Yidnekachew Mare ◽  
Emmanuel Gebreyohannes ◽  
Yohannes Yebabe Tesfay
Keyword(s):  
Factor Analysis ◽  
Linear Regression ◽  
Multiple Linear Regression ◽  
Linear Regression Analysis ◽  
Multiple Linear Regression Analysis ◽  
Tourism Industry ◽  
Community Perception ◽  
Cross Sectional Survey ◽  
Cross Sectional ◽  
Potential Factors

The purpose of this study was to identify and analyze the factors affecting the perception of Hawassa community towards the tourism industry using Factor Analysis, Multiple linear regression and Multivariate Analysis of Variance (MANOVA). Cross-sectional survey was conducted on a sample of 591 from a target population of 24021 of Hawassa City. The Factor analysis estimation result identified five potential factors that affect the community's perception towards the tourism industry. These potential factors are economic, socio-cultural, environmental, community service and community attitude factors, which explained 77.5 percent of the total variation of the community's perception towards the tourism industry. Multiple linear regression analysis indicated that length of residency, number of tourist contacts, number of recreational activities, job creation and tourism policy participation are found significant in explaining the variation in the underlined perceptions of the community towards tourism. Among the demographic characteristics, sub city, sex, educational level, working profession and monthly income of the respondents are found were statistically significant different for the mean scores of the perceptions towards tourism.

scholarly journals Development and validation of the cancer symptoms discrimination scale: a cross-sectional survey of students in Yunnan, China

2020 ◽  
Vol 19 (1) ◽  
Author(s):  
Lin-sen Feng ◽  
Zheng-jiao Dong ◽  
Ruo-yu Yan ◽  
Chang-ling Tu ◽  
Lan-yu Zhang ◽  
...  
Keyword(s):  
Linear Regression ◽  
Multiple Linear Regression ◽  
Pearson Correlation ◽  
Measurement Theory ◽  
Univariate Analysis ◽  
Clinical Manifestations ◽  
Reliability And Validity ◽  
Cross Sectional Survey ◽  
Cross Sectional ◽  
Cancer Symptoms

Abstract Background This study aimed to devise a Cancer symptoms Discrimination Scale (CSDS) suitable for China based on a cross-sectional survey. Methods The CSDS was developed using the classical measurement theory. A total of 3610 students from Yunnan province, China, participated in the cross-sectional survey. The test version of the scale was modified by the item analysis method, and after the official version of CSDS was developed, its reliability and validity were verified. A univariate analysis of variance and a multiple linear regression model were used to analyze the influencing factors of cancer symptoms discrimination among the university/college students. Results There were 21 items in total for the CSDS, including 3 subscales --- common clinical manifestations (11 items), physical appearance defects (6 items), and drainage tube(s) wearing (4 items). This CSDS had good validity (GFI = 0.930, AGFI = 0.905, RMR = 0.013, I-CVIs> 0.80, and the Pearson correlation coefficient was satisfactory.) and reliability (Cronbach’s alpha = 0.862, spearman-brown coefficient = 0.875). The multiple linear regression showed that certain factors may affect the students’ discrimination level against cancer symptoms (P < 0.05), including gender, major, current education degree, guardian’s highest record of formal schooling, self-rated health status, history of care for cancer patients, family relationship, ways of cancer knowledge acquisition, good/poor understanding of cancer-related information, degree of cancer fear, and their perception of cancer infectiousness. Conclusion This CSDS, with good reliability and validity, can be used for the evaluation of the discrimination risk and levels against cancer symptoms among healthy students.

scholarly journals Attitudes and precaution practices towards COVID-19 among pregnant women in Singapore: a cross-sectional survey

2020 ◽  
Vol 20 (1) ◽  
Author(s):  
Ryan Wai Kheong Lee ◽  
See Ling Loy ◽  
Liying Yang ◽  
Jerry Kok Yen Chan ◽  
Lay Kok Tan
Keyword(s):  
High Risk ◽  
Linear Regression ◽  
Pregnant Women ◽  
Multiple Linear Regression ◽  
Online Survey ◽  
Clinical Aspects ◽  
Front Line ◽  
Cross Sectional Survey ◽  
Cross Sectional ◽  
Frontline Staff

Abstract Background COVID-19 may predispose pregnant women to higher risks of severe disease and poorer neonatal outcome. Psychological sequalae of this pandemic may pose a greater conundrum than its clinical aspects. It is currently unknown that how pregnant women cope with this global pandemic and its ramifications. The aims of the study are to understand the attitudes and precaution practices of non-infected pregnant women towards the COVID-19 outbreak in Singapore. Methods An online cross-sectional survey of COVID-19 awareness among pregnant women attending antenatal clinics in Singapore was conducted. An internet link was provided to complete an online electronic survey on Google platform using a quick response (QR) code on mobile devices. The online survey consists of 34 questions that were categorized into 4 main sections, namely 1) social demographics 2) attitude on safe distancing measures 3) precaution practices and 4) perceptions of COVID-19. Multiple linear regression analysis was performed to examine women’s precaution practices among six independent socio-demographic variables, including age, ethnicity, education, front-line jobs, history of miscarriage and type of antenatal clinic (general, high risk). Results A total of 167 survey responses were obtained over 8 weeks from April to June 2020. The majority of women were aged ≤35 years (76%, n = 127), were of Chinese ethnicity (55%, n = 91), attained tertiary education (62%, n = 104) and were not working as frontline staff (70%). Using multiple linear regression models, Malay ethnicity (vs. Chinese, β 0.24; 95% CI 0.04, 0.44) was associated with higher frequency of practicing social distancing. Malay women (β 0.48; 95% CI 0.16, 0.80) and those who worked as frontline staff (β 0.28; 95% CI 0.01, 0.56) sanitized their hands at higher frequencies. Age of ≥36 years (vs. ≤30 years, β 0.24; 95% CI 0.01, 0.46), Malay (vs. Chinese, β 0.27; 95% CI 0.06, 0.48) and Indian ethnicity (vs. Chinese, β 0.41; 95% CI 0.02, 0.80), and attendance at high-risk clinic (vs. general clinic, β 0.20; 95% CI 0.01, 0.39) were associated with higher frequency of staying-at-home. Conclusion Social demographical factors including age > 36 years old, Malay ethnicity, employment in front line jobs and attendance at high-risk clinics are likely to influence the attitudes and precaution practices among pregnant women towards COVID-19 in Singapore. Knowledge gained from our cross-sectional online survey can better guide clinicians to communicate better with pregnant women. Hence, it is important for clinicians to render appropriate counselling and focused clarification on the effect of COVID-19 among pregnant women for psychological support and mental well being.

Association of Entrepreneurial Traits With Interest in Becoming a Pharmacist Provider Among Student Pharmacists

2019 ◽  
pp. 089719001988287
Author(s):  
Mona Nili ◽  
Nazneen Fatima Shaikh ◽  
Nilanjana Dwibedi ◽  
S. Suresh Madhavan
Keyword(s):  
Linear Regression ◽  
Multiple Linear Regression ◽  
Achievement Motivation ◽  
Risk Taking ◽  
Linear Regression Analysis ◽  
Multiple Linear Regression Analysis ◽  
Analysis Model ◽  
Cross Sectional Survey ◽  
Cross Sectional ◽  
Factors Associated

Background: With the emerging opportunities for pharmacists to gain provider status, the need for understanding interest to become a pharmacist provider has never been greater. Objective: To determine which entrepreneurial traits (locus of control, innovativeness, autonomy, risk-taking propensity, proactiveness, achievement motivation, people liking, problem-solving, and leadership) are associated with interest in becoming a pharmacist provider. Methods: A cross-sectional survey was conducted among second- and third-year student pharmacists. Exploratory factor analysis (principal components with varimax rotation) was used to determine any underlying dimensions. Significant differences in interest in becoming a pharmacist provider by demographic and other characteristics were determined using t tests and analysis of variance (ANOVA; P ≤ .05). Multiple linear regression was used to determine the factors associated with interest in becoming a pharmacist provider. Results: A total of 137 completed questionnaires were received. Gender ( P = .003) and preference of workplace ( P < .001) were significantly associated with interest in becoming a pharmacist provider. All factor loadings were more than 0.50 and Cronbach alpha values were more than .68. In the multiple linear regression analysis model, proactiveness ( P = .036) and achievement motivation ( P = .018) were positive predictors of interest in becoming a pharmacist provider. Females ( P = .006) and individuals who preferred to work in a hospital ( P < .001) or in specialty care ( P = .007) had a significantly greater interest in becoming a pharmacist provider. Conclusions: Proactiveness and achievement motivation can be predictors of interest in becoming a pharmacist provider.

scholarly journals Attitudes and precaution practices towards COVID-19 among pregnant women in Singapore: A cross-sectional survey

2020 ◽  
Author(s):  
RYAN WAI KHEONG LEE ◽  
LOY SEE LING ◽  
YANG LIYING ◽  
JERRY CHAN KOK YEN ◽  
TAN LAY KOK
Keyword(s):  
High Risk ◽  
Linear Regression ◽  
Pregnant Women ◽  
Multiple Linear Regression ◽  
Online Survey ◽  
Clinical Aspects ◽  
Front Line ◽  
Cross Sectional Survey ◽  
Cross Sectional ◽  
Frontline Staff

Abstract BackgroundCOVID-19 may predispose pregnant women to higher risks of severe disease and poorer neonatal outcome. Psychological sequalae of this pandemic may pose a greater conundrum than its clinical aspects. It is currently unknown that how pregnant women cope with this global pandemic and its ramifications. The aims of the study are to understand the attitudes and precaution practices of non-infected pregnant women towards the COVID-19 outbreak in Singapore.Methods An online cross-sectional survey of COVID-19 awareness among pregnant women attending antenatal clinics in Singapore was conducted. An internet link was provided to complete an online electronic survey on Google platform using a quick response (QR) code on mobile devices. The online survey consists of 34 questions that were categorized into 4 main sections, namely 1) social demographics 2) attitude on safe distancing measures 3) precaution practices and 4) perceptions of COVID-19. Multiple linear regression analysis was performed to examine women’s precaution practices among six independent socio-demographic variables, including age, ethnicity , education , front-line jobs, history of miscarriage and type of antenatal clinic (general , high risk).ResultsA total of 167 survey responses were obtained over eight weeks from April to June 2020. The majority of women were aged ≤35 years (76%, n=127), were of Chinese ethnicity (55%, n=91), attained tertiary education (62%, n=104) and were not working as frontline staff (70%). Using multiple linear regression models, Malay ethnicity (vs. Chinese, β 0.24; 95% CI 0.04, 0.44) was associated with higher frequency of practicing social distancing. Malay women (β 0.48; 95% CI 0.16, 0.80) and those who worked as frontline staff (β 0.28; 95% CI 0.01, 0.56) sanitized their hands at higher frequencies. Age of ≥36 years (vs. ≤30 years, β 0.24; 95% CI 0.01, 0.46), Malay (vs. Chinese, β 0.27; 95% CI 0.06, 0.48) and Indian ethnicity (vs. Chinese, β 0.41; 95% CI 0.02, 0.80), and attendance at high-risk clinic (vs. general clinic, β 0.20; 95% CI 0.01, 0.39) were associated with higher frequency of staying-at-home.ConclusionSocial demographical factors including age > 36 years old, Malay ethnicity, employment in front line jobs and attendance at high-risk clinics are likely to influence the attitudes and precaution practices among pregnant women towards COVID-19 in Singapore. Knowledge gained from our cross-sectional online survey can better guide clinicians to communicate better with pregnant women. Hence, it is important for clinicians to render appropriate counselling and focused clarification on the effect of COVID-19 among pregnant women for psychological support and mental wellbeing.

scholarly journals Identifying targets for interventions to support public adherence to government instructions to reduce transmission of SARS-CoV-2

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Christopher J. Armitage ◽  
Chris Keyworth ◽  
Jessica Z. Leather ◽  
Lucie Byrne-Davis ◽  
Tracy Epton
Keyword(s):  
Linear Regression ◽  
Multiple Linear Regression ◽  
Population Data ◽  
Current Evidence ◽  
Cross Sectional Survey ◽  
Cross Sectional ◽  
Emergency Situations ◽  
Social Opportunities ◽  
The Uk

Abstract Background SARS-CoV-2 lacks sentience and can only be spread through human behaviour. Government instructions to the general public include: (a) limiting time spent outside the home, (b) staying more than 1 m away from people outside the household at all times, and (c) maintaining hand hygiene. Current evidence suggests high rates of adherence to such instructions, but interventions to sustain adherence to government instructions in the long term can only be developed if we know why people do or do not adhere to them. The aims were to assess levels of public adherence to government instructions to reduce transmission of SARS-CoV-2, but more importantly to gauge why people were or were not adhering to instructions. Methods Cross-sectional survey of 2252 adults who were representative of the UK population. Data were analysed descriptively, and using one-sample t-tests, within-participants ANOVA and multiple linear regression. Results The sample reported mostly adhering to UK government instructions to reduce SARS-CoV-2 transmission, with 5% or fewer people reporting active resistance to instructions. People generally reported high levels of capability, opportunity and motivation to follow the instructions, but perceived relatively few physical and social opportunities. Multiple linear regression analyses showed that better adherence was associated with older age, being a woman, having a white ethnic background, and with perceiving greater levels of capabilities, opportunities and motivations. Conclusions Interventions targeted at people with black, Asian and minority ethnic backgrounds, men and younger people that focus on increasing capabilities, providing greater opportunities and boosting motivations are needed to support continued adherence to government instructions to reduce SARS-CoV-2 transmission. Further research is required to track changes in people’s capabilities, opportunities, motivations and behaviours in response to the ongoing emergency, any changes in government instructions, and to adapt the present procedures to other emergency situations.

An Empirical Study of Investor Attitudinal Factors Influencing Herd Behavior: Evidence from Pakistan Stock Exchange

2019 ◽  
Vol 12 (1) ◽  
pp. 1-11
Author(s):  
Faid Gul ◽  
Karamat Khan
Keyword(s):  
Linear Regression ◽  
Multiple Linear Regression ◽  
Psychological Factors ◽  
Stock Exchange ◽  
Linear Regression Analysis ◽  
Primary Data ◽  
Herd Behavior ◽  
Individual Investor ◽  
Decision Accuracy ◽  
Attitudinal Factors

Behavioral Finance is an evolving field that studies how psychological factors affect decision making under uncertainty. Herding behavior is one of the psychological factors that instigate investor to mimic the actions of other investors in the market rather than using his personal assessments. This study seeks to find the influence of certain attitudinal factors namely, decision conformity, hasty decision, mood, decision accuracy, and overconfidence, on the individual investor tendency to embrace herd behavior. Primary data for the study are collected using structured questionnaires from a sample of 194 investors who are trading at Islamabad and Lahore branches of Pakistan Stock Exchange. Multiple linear regression analysis is used to test the hypotheses of this study. Findings of this study provide evidence that attitudinal factors have a significant influence on investor’s tendency to take on herd behavior. It is concluded from the results of multiple linear regression that decision conformity, mood, and decision accuracy have a significant impact on individual investor tendency to adopt herd behavior. However, investor hasty decision and overconfidence is insignificant predictors of herd behavior. Keywords: Decision conformity, Hasty decision, Mood, Decision accuracy, Overconfidence, Herd behavior

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