Absenteeism and performance in a quantitative module A quantile regression analysis

2016 ◽  
Vol 8 (3) ◽  
pp. 376-389 ◽  
Author(s):  
Pranab Kumar Pani ◽  
Pallavi Kishore

Purpose – There is growing evidence that learning is faster, measurably better and more productive in a classroom setting when a student attends classes regularly. Each student brings in his/her experience, skills, and unique learning styles to a class – thus a classroom environment can potentially create positive externalities through which a student can gain substantially from various strengths of his/her peers. However, students do remain absent from their classes for a variety of reasons. One of the measurable effects of regular non-attendance in a university class, where students from various cultures and regions interact, is the academic performance. The purpose of this paper is to determine if there is any potential causal link between absenteeism (attendance) and academic performance. Design/methodology/approach – Data were culled from the records of three batches of students in a British university campus in the Middle East. Quantile regression methods were used to establish the causal relationship between absenteeism and academic performance. Findings – A quantile regression analysis reveals that absenteeism has negative impact on academic performance. This also suggests that low performers are worse affected by absenteeism as compared to the high performers. Research limitations/implications – Inclusion of some other factors, such as study habits, additional hours spent on quantitative modules, student’s ethnicity background, particularly in the context of United Arab Emirates, could have emboldened the robustness of the study. Non-availability or paucity of this information, to some degree, has limited the conclusions of this study. Originality/value – Proponents of mandatory attendance argue that there is a positive correlation between attendance and performance. But, one very important issue which gets overlooked is who actually benefits more by attending classes – are the shirkers who have a poor attendance record or the ones who are more sincere, more regular, and active participants in a class? This study uses quantile regression analysis to address this issue.

2018 ◽  
Vol 67 (9) ◽  
pp. 1566-1584 ◽  
Author(s):  
Shaista Wasiuzzaman

PurposeThe management of liquidity has always been seen as a critical but often ignored issue in finance. Despite the abundance of studies on liquidity management, these studies mainly focus on developed countries and on large firms. Liquidity is critical for the small firm but studies on liquidity management in small and medium enterprises (SMEs) are lacking. The purpose of this paper is to examine the firm-level determinants of liquidity of SMEs in Malaysia.Design/methodology/approachData are collected for a total of 986 small firms in Malaysia from 2011 to 2014, resulting in a total of 2,683 observations. Firm-specific variables and the effect of the economy are considered as the possible determinants of liquidity. Ordinary least squares (OLS) regression analysis with standard errors adjusted for firm-level clustering and quantile regression analysis are used for this purpose.FindingsAnalysis using OLS regression technique indicates that a firm’s profitability, its growth, asset tangibility, size, age and firm status are significant factors in influencing its liquidity decision. Leverage and economic condition are not found to have any significant influence on liquidity. However, quantile regression analysis provides a different picture especially for SMEs with liquidity at the quantile levels ofθ=0.10 and 0.90. Atθ=0.10, only profitability, tangibility and firm status are significant, while atθ=0.90, tangibility, size, firm status and, to some extent, age are significant in influencing liquidity levels.Originality/valueTo the author’s knowledge, this is the first study analyzing the liquidity decision of SMEs in an emerging market such as Malaysia. Most studies on liquidity management of SMEs are focused on developed countries due to data availability but these studies are also only a handful. Additionally, this study uses quantile regression analysis which highlights the need to analyze financial decisions at different levels rather than at the aggregate level as done in OLS regression analysis.


2022 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Ahmed Hassanein ◽  
Jamal Ali Al-Khasawneh ◽  
Hany Elzahar

Purpose Corporate managers spend on research and development (R&D) for reasons of growth and survival. However, they may be less willing to invest in R&D because of its long-term horizon, high failure rate and uncertain outcomes. This study aims to explore the extent to which managerial ownership influences R&D expenditure decisions. Design/methodology/approach Apart from the linear regression models, this study uses a semi-parametric quantile regression analysis for a sample of German non-financial firms throughout 2009–2018. Findings This study finds a nonmonotonic sensitivity of R&D spending to the level of managerial ownership over various quantiles of R&D distribution. That is, managerial ownership increases the expenditure on R&D at low R&D intensity firms. However, it decreases the expenditure on R&D at high R&D intensity firms. These results suggest the presence of a maximum level of R&D expenditure, after which owner-managers would be unwilling to spend on R&D. Practical implications The results confirm the importance of corporate ownership structure for firm R&D and innovation activities. It provides an implication for corporate policymakers to reform the corporate ownership structures to encourage corporate managers and owners to invest in R&D projects. Originality/value This study offers two distinct contributions study. First, it provides the first German shred of evidence on the nonlinear relationship between managerial ownership and R&D expenditure decisions by distinguishing between high and low R&D intensity firms. Second, unlike prior research, it uses a semi-parametric quantile regression analysis. This method is more efficient than least-squares estimators and produces robust estimators to heteroscedasticity of the residuals.


Author(s):  
Fernanda Gutierrez-Rodrigues ◽  
Raquel M. Alves-Paiva ◽  
Natália F. Scatena ◽  
Edson Z. Martinez ◽  
Priscila S. Scheucher ◽  
...  

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Monowar Mahmood ◽  
Yuliya Frolova ◽  
Bhumika Gupta

PurposePersonality traits are assumed to influence cognitive processes as well as academic motivation and learning approaches of the students. Based on these assumptions, the present study investigates the association of HEXACO personality traits with academic motivation as well as influence of those traits on students' learning approaches in educational contexts.Design/methodology/approachSelf-reported measures of personality orientation, academic motivation and learning approaches were obtained from 404 respondents in a classroom environment. The SPSS 20 software was used to conduct the correlations and the hierarchical regression analyses. The Eviews 10 software was used to develop the structural equation model to find the inter-relations among the study variables.FindingsThe findings reveal the influence of personality traits on academic motivation and learning approaches of the students. Among different personality traits, consciousness appeared to have highly positive impact on deep learning and intrinsic motivation of the studies. Neuroticism appeared to have most negative impact related to surface learning and amotivation of the learning contents.Research limitations/implicationsThe findings validates the existence of HEXACO personality traits among the students in central Asian context. It future reiterated individual differences in learning strategies and learning motivation among the learners. The results may help academics and policy makers take appropriate measures to increase academic motivation and select appropriate learning approaches.Originality/valueThis is one of the pioneer studies to investigate the relationship between HEXACO personality traits, learning strategies and academic motivation. Validation of the HEXACO framework will help to understand students' personality in a more detailed and elaborative way and will contribute to the existing literature on personality and learning outcomes.


2006 ◽  
Vol 21 (4) ◽  
pp. 261-267 ◽  
Author(s):  
Michael W. Hubble ◽  
Michael E. Richards

AbstractIntroduction:Colleges and universities are experiencing increasing demand for online courses in many healthcare disciplines, including emergency medical services (EMS). Development and implementation of online paramedic courses with the quality of education experienced in the traditional classroom setting is essential in order to maintain the integrity of the educational process. Currently, there is conflicting evidence of whether a significant difference exists in student performance between online and traditional nursing and allied health courses. However, there are no published investigations of the effectiveness of online learning by paramedic students.Hypothesis:Performance of paramedic students enrolled in an online, undergraduate, research methods course is equivalent to the performance of students enrolled in the same course provided in a traditional, classroom environment.Methods:Academic performance, learning styles, and course satisfaction surveys were compared between two groups of students. The course content was identical for both courses and taught by the same instructor during the same semester. The primary difference between the traditional course and the online course was the method of lecture delivery. Lectures for the on-campus students were provided live in a traditional classroom setting using PowerPoint slides. Lectures for the online students were provided using the same PowerPoint slides with prerecorded streaming audio and video.Results:A convenience sample of 23 online and 10 traditional students participated in this study. With the exception of two learning domains, the two groups of students exhibited similar learning styles as assessed using the Grasha-Riechmann Student Learning Style Scales instrument. The online students scored significantly lower in the competitive and dependent dimensions than did the on-campus students. Academic performance was similar between the two groups. The online students devoted slightly more time to the course than did the campus students, although this difference did not reach statistical significance. In general, the online students believed the online audio lectures were more effective than the traditional live lectures.Conclusion:Distance learning technology appears to be an effective mechanism for extending didactic paramedic education off-campus, and may be beneficial particularly to areas that lack paramedic training programs or adequate numbers of qualified instructors.


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