A Study on impact of smartphone addiction on academic performance

2018 ◽  
Vol 7 (2.6) ◽  
pp. 50 ◽  
Author(s):  
Pamela Chaudhury ◽  
Hrudaya Kumar Tripathy
Keyword(s):  
Academic Performance ◽  
Negative Impact ◽  
Pearson Correlation ◽  
Machine Learning Techniques ◽  
Smartphone Addiction ◽  
Active Involvement ◽  
Outdoor Sports ◽  
Using Data ◽  
The Masses ◽  
The Impact

Smartphone addiction is increasingly affecting the masses and is negatively impacting the younger generation. Several researches have been done to study the impact of internet and smartphone addiction. However no work has been done to predetermine academic performance from smartphone addiction using data mining techniques. A total of 222 University students participated in the questionnaire. The survey questionnaire consisted of demographic information, internet access pattern and smartphone addiction pattern. Data was analysed using machine learning techniques using classification models. The results further encouraged us to find the correlation between smartphone addiction and academic performance. Pearson’ correlation was used to establish that smartphone usage had a negative impact on academic performance. Additionally other attributes like internet connectivity and active involvement in outdoor sports activities were investigated. Experimental results confirmed a negative correlation of these attributes with academic performance. The findings were of immense use and could be used to reduce the internet addiction amongst the student community and also enhance their academic performance

scholarly journals Impact of Working Capital Management on Corporate Profitability- Empirical Evidence from Pharmaceutical Industry of Bangladesh

2018 ◽  
Vol 10 (9) ◽  
pp. 136
Author(s):  
Rakibul Islam ◽  
Mohammad Emdad Hossain ◽  
Mohammad Nazmul Hoq ◽  
Md. Morshedul Alam
Keyword(s):  
Regression Analysis ◽  
Correlation Matrix ◽  
Negative Impact ◽  
Pearson Correlation ◽  
Capital Management ◽  
Working Capital ◽  
Data Set ◽  
Working Capital Management ◽  
Pharmaceutical Firms ◽  
The Impact

Working capital management plays centric role in enhancing operational efficiency and their ultimate profitability. Globally financial managers have been searching the proper way on how to utilize working capital components which prolong profitability. The purpose of this study is to assess the impact of working capital components on profitability indicators of selected pharmaceutical firms in Bangladesh. The paper used financial data of 9 pharmaceutical firms listed in Dhaka stock exchange (DSE) covered 2011-2015. Two methods were used in this study for analysis data set. Firstly, to measure the relationship between selected variables Pearson Correlation matrix was used. Secondly, multiple regression analysis was used to investigate the impact working capital components on profitability of selected pharmaceutical firms. The study also conducted Durbin Watson test to assess autocorrelation of selected variables. In this study the correlation matrix identified a negative correlation between working capital components and profitability, whereas regression analysis found number of days account receivable (AR) had significant positive and current ratio (CR) and debt ratio (DR) had appeared a significant negative impact on profitability.

scholarly journals The Impact of Public Debt on the Economic Growth of Jordan: An Empirical Study (2000- 2015)

2017 ◽  
Vol 6 (2) ◽  
pp. 114 ◽  
Author(s):  
Tawfiq Ahmad Mousa ◽  
Abudallah. M. LShawareh
Keyword(s):  
Economic Growth ◽  
Empirical Study ◽  
Regression Model ◽  
Least Squares ◽  
Public Debt ◽  
Least Squares Method ◽  
Negative Impact ◽  
External Debt ◽  
Using Data ◽  
The Impact

In the last two decades, Jordan’s economy has been relied on public debt in order to enhance the economic growth. As such, an understanding  of the dynamics between public debt and economic growth is very important in addressing the obstacles to economic growth. The study investigates the impact of public debt on economic growth using data from 2000 to 2015. The study employs least squares method and regression model to capture the impact of public debt on economic growth. The results of the analysis indicate that there is a negative impact of total public debt, especially the external debt on economic growth. 

scholarly journals Nature of Academic Programs, Epistemological Beliefs and Their Impact on Pakistani University Students’ Academic Performance

2021 ◽  
Vol 4 (4) ◽  
pp. 781-803
Author(s):  
Rafaquat Ali ◽  
Bushra Shoukat ◽  
Rabia Bahoo
Keyword(s):  
Academic Performance ◽  
University Students ◽  
Epistemological Beliefs ◽  
Negative Impact ◽  
English Literature ◽  
Academic Programs ◽  
Physical Sciences ◽  
Field Of Study ◽  
Significant Negative Impact ◽  
The Impact

The students’ academic behaviours and academic performance differ with their epistemological beliefs. Different social-cultural and educational contexts inculcate differences in students’ epistemological beliefs. However, the impact of the nature of the academic programs on students’ epistemological beliefs is most obvious. The students of different disciplines can have different epistemological beliefs. These different epistemological beliefs differ in their impact on students’ academic performance and academic behaviour. Hence, the current study evaluated the interrelationships of various educational programs and epistemological beliefs and their importance in students’ academic performance. The volunteer university students provided data about their academic programs, epistemological beliefs, and academic performance. Researchers used the Generalized Structured Component Analysis approach to calculate the suitability of specified measurement and structural models. The impact of subjects of the soft field of study such as Behavioural Sciences, English Literature was negative on naive epistemological beliefs in knowledge structure and omniscient authority compared to subjects of the hard field of studies such as Mathematical, Physical Sciences, and Biological Sciences. The Business Sciences from the soft applied field of study had the least noticeable negative impact on naive epistemological beliefs compared to other subjects of pure soft and pure hard field of studies. Only, the belief in quick learning had a significant negative impact on students’ academic performance.

scholarly journals Motivation and Academic Performance: An Inter-country Comparison

2020 ◽  
Vol 3 (3) ◽  
pp. p70
Author(s):  
Lewis R. Gale ◽  
Clifford Nowell
Keyword(s):  
Academic Achievement ◽  
Academic Performance ◽  
Positive Impact ◽  
Country Comparison ◽  
Using Data ◽  
The Impact ◽  
The Relationship ◽  
Detrimental Impact ◽  
The U.S ◽  
External Motivation

The objective of this paper is to explore the impact of amotivation on academic performance and to test whether the impact of motivation on academic performance differs across students from China and the U.S. Using data from Chinese and U.S. students located in their home countries, we find amotivation negatively impacts academic performance of both groups of students. We also show that external motivation is positively associated with academic achievement. While these findings are consistent with results from previous studies, we extend the understanding on the relationship between motivation and academic performance by demonstrating that the magnitude of the detrimental impact of amotivation differs between students in the two countries and that the positive impact of higher levels of external motivation provides similar benefits for both groups of students.

scholarly journals Impact of paid work on the academic performance of nursing students

PeerJ ◽  
2016 ◽  
Vol 4 ◽  
pp. e1838 ◽  
Author(s):  
Mery Constanza García-Vargas ◽  
Mercedes Rizo-Baeza ◽  
Ernesto Cortés-Castell
Keyword(s):  
Academic Performance ◽  
Nursing Students ◽  
Grade Point Average ◽  
Negative Impact ◽  
Paid Work ◽  
Cross Sectional ◽  
Work Activity ◽  
Grade Point ◽  
Increased Risk ◽  
The Impact

Background.Little research exists on the impact of paid work on academic performance of students of health sciences. No research exists on this subject for students in Colombia.Objectives.This paper seeks to analyze the impact of paid work on academic performance among nursing students. Design, settings and participants: cross-sectional research, involving 430 of nursing students from the National University of Colombia (N= 566).Methods.Variables analyzed: sex, age, work activity, attendance, current semester, degree subjects studied and unavailable, lost credits, grades during the second semester of 2013, and delayed semesters. Subgroups analyzed: (i) according to labor activity: do not work, work up to 20 h and work more than 20 h per week; (ii) Grade point average: failing is considered as less than 3.0 and passing 3.0 or above out of 5.0. Percentage of delayed semesters were calculated. Qualitative and quantitative variables were analyzed for groups by work activity. The percentage and probability of students getting a grade point average less than 3.0 and delaying semesters were calculated by multivariate logistic regression.Results. A total of 219 of the students work (50.9%), the main reason is socioeconomic, of which 99 (45.2%) work more than 20 h per week and have an increased risk of failing, which is higher in the first semester. They also get lower grades, lose more credits and take longer to finish the degree. The logistic bivariate regressions of success (grade point average, credits gained, courses gained and not having delayed semesters) reduce with work, above all in those who work more than 20 h per week and increase as the number of semesters completed increases, independent of sex.Conclusion.A high percentage of nursing students work more than 20 h per week. The compatibility of paid work with studies in university nursing students has a negative impact on academic performance, more so when they work more than 20 h per week. This negative impact diminishes as the student completes semesters, irrespective of the sex of the students.

The Impact of IRCA on the Job Opportunities and Earnings of Mexican-American and Hispanic-American Workers

1998 ◽  
Vol 32 (1) ◽  
pp. 79-95 ◽  
Author(s):  
Alberto Dávila ◽  
José A. Pagán ◽  
Montserrat Viladrich Grau
Keyword(s):  
At Risk ◽  
Mexican American ◽  
Negative Impact ◽  
White Male ◽  
Wage Structure ◽  
Wage Distribution ◽  
Hispanic Workers ◽  
Using Data ◽  
The Impact ◽  
Hispanic White

This article studies the earnings gap between Mexican, Hispanic and non-Hispanic white male workers resulting from changes in both the wage structure and immigration laws that occurred during the 1980s. Our results suggest that Mexican and Hispanic workers were adversely affected by these two changes. Using data from the 1980 and 1990 One Percent Public Use Microdata Samples, we show that these “at-risk” workers minimized the negative impact of the increases in the returns to skill by gaining in the non-Hispanic white residual wage distribution. We conclude that at-risk workers increased their work effort to lessen the effects of Act-induced employment losses. Using 1983–1992 data from the National Longitudinal Survey of Youth and EEOC data for this period, we provide support for this contention.

scholarly journals Alcohol-related harm to others in England: a cross-sectional analysis of national survey data

BMJ Open ◽  
2019 ◽  
Vol 9 (5) ◽  
pp. e021046 ◽  
Author(s):  
Caryl Beynon ◽  
David Bayliss ◽  
Jenny Mason ◽  
Kate Sweeney ◽  
Clare Perkins ◽  
...  
Keyword(s):  
Negative Impact ◽  
Cross Sectional Survey ◽  
Cross Sectional ◽  
Factors Associated ◽  
Harm To Others ◽  
Using Data ◽  
Socioeconomic And Demographic Factors ◽  
The Impact ◽  
Alcohol Related Harm ◽  
Related Harm

ObjectivesTo estimate the prevalence, the frequency and the perpetrators of alcohol-related harm to others (AHTO) and identify factors associated with experiencing harm and aggressive harm.DesignCross-sectional survey.SettingEngland.ParticipantsAdults (general population) aged 16 and over.Outcome measuresPercentage of respondents who experienced harm. Socioeconomic and demographic factors associated with the outcomes. Outcomes were (1) experienced harm/did not experience harm and (2) experienced aggressive harm (physically threatened, physically hurt and forced/pressured into something sexual)/did not experience an aggressive harm (no aggressive harm plus no harm at all).ResultsData to support a response rate calculation were not collected; 96.3% of people surveyed completed the AHTO questions. The weighted sample was 4874; 20.1% (95% CI 18.9 to 21.4, N=980) reported experiencing harm in the previous 12 months and 4.6% (95% CI 4.0 to 5.4, N=225) reported experiencing an aggressive harm. Friends and strangers were the dominant perpetrators. Most harms (74.8%) occurred less than monthly. Factors associated with experiencing harm were: younger age (p<0.001), drinking harmfully/hazardously (p<0.001), white British (p<0.001 compared to other white groups and Asian groups and p=0.017 compared to black groups), having a disability (p<0.001), being educated (p<0.001 compared to no education) and living in private rented accommodation (p=0.004 compared with owned outright). Being in the family stage of life (defined as having children in the household) had significantly lower odds of harm (p=0.006 compared to being single), as did being retired (p<0.001 compared to being employed). Factors associated with experiencing an aggressive harm were similar.ConclusionsThis exploratory study, using data collected through the Alcohol Toolkit Survey, shows that AHTO affects 20.1% of the population of England. Even apparently minor harms, like being kept awake, can have a negative impact on health, while aggressive harms are clearly of concern. Using a standard methodology to measure harm across studies would be advantageous. Policies that focus on alcohol must take into consideration the impact of drinking on those other than the drinker.

Racial and low-income quotas in Brazilian universities: impact on academic performance

2018 ◽  
Vol 45 (1) ◽  
pp. 156-176
Author(s):  
Claudia Bueno Rocha Vidigal
Keyword(s):  
Academic Performance ◽  
Student Performance ◽  
Low Income ◽  
Family Income ◽  
Negative Impact ◽  
Public And Private ◽  
Content Type ◽  
The North ◽  
Significant Difference ◽  
The Impact

Purpose The purpose of this paper is to estimate the impact of racial and low-income quotas on academic performance of students from public and private universities in Brazil. Design/methodology/approach Using propensity score matching applied to student-level data from the National Examination of Student Performance conducted in 2012; this paper identifies the impact of the quota policy on academic performance considering all Brazilian universities. Findings The results indicate that there is no statistically significant difference in academic performance between students admitted under the racial quota and those who had the regular admission (non-quota students). The impact is positive, however, for students from the North region of Brazil and among those with very low family income, whereas a negative impact is observed for those from the Central-West region. In regard to the low-income quota, quota students perform worse than eligible non-quota students as their scores are, on average, 14 percent lower. Similar findings are observed when different subsamples are considered. Originality/value This paper’s main contribution is to provide a broader and more rigorous empirical approach than that presented by the existing literature in order to evaluate the impact of quota policies on academic achievement. Moreover, this study considers all Brazilian institutions whereas previous studies are limited to only one or a few universities.

scholarly journals Dissection of the impact of prioritized QTL-linked and -unlinked SNP markers on the accuracy of genomic selection1

2021 ◽  
Vol 22 (1) ◽  
Author(s):  
Ashley S. Ling ◽  
El Hamidi Hay ◽  
Samuel E. Aggrey ◽  
Romdhane Rekaya
Keyword(s):  
Genomic Prediction ◽  
Complex Traits ◽  
Negative Impact ◽  
Pearson Correlation ◽  
Genetic Selection ◽  
Snp Markers ◽  
False Positives ◽  
Population Statistic ◽  
The Impact ◽  
Genomic Predictions

Abstract Background Use of genomic information has resulted in an undeniable improvement in prediction accuracies and an increase in genetic gain in animal and plant genetic selection programs in spite of oversimplified assumptions about the true biological processes. Even for complex traits, a large portion of markers do not segregate with or effectively track genomic regions contributing to trait variation; yet it is not clear how genomic prediction accuracies are impacted by such potentially nonrelevant markers. In this study, a simulation was carried out to evaluate genomic predictions in the presence of markers unlinked with trait-relevant QTL. Further, we compared the ability of the population statistic FST and absolute estimated marker effect as preselection statistics to discriminate between linked and unlinked markers and the corresponding impact on accuracy. Results We found that the accuracy of genomic predictions decreased as the proportion of unlinked markers used to calculate the genomic relationships increased. Using all, only linked, and only unlinked marker sets yielded prediction accuracies of 0.62, 0.89, and 0.22, respectively. Furthermore, it was found that prediction accuracies are severely impacted by unlinked markers with large spurious associations. FST-preselected marker sets of 10 k and larger yielded accuracies 8.97 to 17.91% higher than those achieved using preselection by absolute estimated marker effects, despite selecting 5.1 to 37.7% more unlinked markers and explaining 2.4 to 5.0% less of the genetic variance. This was attributed to false positives selected by absolute estimated marker effects having a larger spurious association with the trait of interest and more negative impact on predictions. The Pearson correlation between FST scores and absolute estimated marker effects was 0.77 and 0.27 among only linked and only unlinked markers, respectively. The sensitivity of FST scores to detect truly linked markers is comparable to absolute estimated marker effects but the consistency between the two statistics regarding false positives is weak. Conclusion Identification and exclusion of markers that have little to no relevance to the trait of interest may significantly increase genomic prediction accuracies. The population statistic FST presents an efficient and effective tool for preselection of trait-relevant markers.

scholarly journals The Impact of Population Density and Economic Growth on Environmental Quality: Study in Indonesia

2021 ◽  
Vol 22 (2) ◽  
pp. 301-312
Author(s):  
Abdulloh Nashiruddin Wafiq ◽  
Suryanto Suryanto
Keyword(s):  
Economic Growth ◽  
Population Density ◽  
Environmental Quality ◽  
Quality Index ◽  
Negative Impact ◽  
Pearson Correlation ◽  
Secondary Data ◽  
Significant Negative Impact ◽  
Sustainable Economic Growth ◽  
The Impact

Sustainable economic growth is followed by an improvement in environmental quality. The purpose of this study is to identify the correlation between economic growth and population density on the environmental quality index (EQI) in Indonesia. In addition, it also aims to determine the impact of economic growth and population density on the environmental quality Index. This study uses a quantitative method with secondary data from 33 provinces in Indonesia from 2010 to 2016. Data were analyzed using Pearson correlation and panel data regression. The result showed that the correlation between economic growth and population density on the quality of the environment was moderate. It has a significant negative impact on environmental quality.

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