Accounting Students’ Performance in Distance Education: A Study Focused on Sociodemographic Factors

Vitor Hideo Nasu

Resumo


This study aimed to investigate the relationship between accounting students’ performance and sociodemographic variables (namely gender, employment, marital status, and ethnicity) in distance education. I collected data from the 2015 National Exam of Students’ Performance, obtaining a final sample of 11,707 observations. Results indicated that male students outperformed female ones. Also, worker students have better performance than their colleagues. Married students obtained better performance than their single colleagues, but no relevant difference was found in comparison to other (divorced, widowed, etc.) students. Regarding ethnicity, white students outperformed other students (black, brown, and others).

Palavras-chave


Distance education, Academic performance, Accounting education, Sociodemographic factors.

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Referências


Al-Kandari, F., & Vidal, V. L. (2007). Correlation of the health-promoting lifestyle, enrollment level, and academic performance of College of Nursing students in Kuwait. Nursing and Health Sciences, 9(2), 112–119. https://doi.org/10.1111/j.1442-2018.2007.00311.x

Apostolou, B., Dorminey, J. W., Hassell, J. M., & Rebele, J. E. (2015). Accounting education literature review (2013-2014). Journal of Accounting Education, 33(2), 69–127. https://doi.org/10.1016/j.jaccedu.2015.04.001

Apostolou, B., Dorminey, J. W., Hassell, J. M., & Rebele, J. E. (2016). Accounting education literature review (2015). Journal of Accounting Education, 35, 20–55. https://doi.org/10.1016/j.jaccedu.2016.03.002

Apostolou, B., Dorminey, J. W., Hassell, J. M., & Rebele, J. E. (2017). Accounting education literature review (2016). Journal of Accounting Education, 39(1), 1–31. https://doi.org/10.1016/j.jaccedu.2017.03.001

Brazilian Association of Distance Education. (2017). 2016 Brazilian Census for Distance Learning. Retrieved from http://abed.org.br/censoead2016/Censo_EAD_2016_ingles.pdf

Bryant, S. M., Schafer, B. A., & Kahle, J. B. (2005). Distance Education: A Review of the Contemporary Literature. Issues in Accounting Education, 20(3), 255–272. https://doi.org/10.2308/iace.2005.20.3.255

Byrne, M., & Flood, B. (2008). Examining the relationships among background variables and academic performance of first year accounting students at an Irish University. Journal of Accounting Education, 26(4), 202–212. https://doi.org/10.1016/j.jaccedu.2009.02.001

Carpenter, V. L., Friar, S., & Lipe, M. G. (1993). Evidence on the performance of accounting students: race, gender, and expectations. Issues in Accounting Education, 8(1), 1–17.

Cerezo, A., & Chang, T. (2013). Latina/o Achievement at Predominantly White Universities. Journal of Hispanic Higher Education, 12(1), 72–85. https://doi.org/10.1177/1538192712465626

Cheung, L. L. W., & Kan, A. C. N. (2002). Evaluation of Factors Related to Student Performance in a Distance-Learning Business Communication Course. Journal of Education for Business, 77(5), 257–263. https://doi.org/10.1080/08832320209599674

Dotterer, A. M., & Lowe, K. (2015). Perceived discrimination, parenting, and academic adjustment among racial/ethnic minority adolescents. Journal of Applied Developmental Psychology, 41, 71–77. https://doi.org/10.1016/j.appdev.2015.08.003

Erdogan, Y., Bayram, S., & Deniz, L. (2008). Factors that influence academic achievement and attitudes in web based education. International Journal of Instruction, 1(1), 31–47. Retrieved from http://www.e-iji.net/dosyalar/iji_2008_1_3.pdf

Gammie, E., Paver, B., Gammie, B., & Duncan, F. (2003). Gender differences in accounting education: an undergraduate exploration. Accounting Education, 12(2), 177–196. https://doi.org/10.1080/0963928032000091765

Gist, W. E., Goedde, H., & Ward, B. H. (1996). The Influence of Mathematical Skills and Other Factors on Minority Student Performance in Principles of Accounting. Issues in Accounting Education, 11(1), 49–60. Retrieved from http://search.proquest.com/docview/210932176?accountid=14717

Gomes, N. L. (2003). Cultura negra e educação. Revista Brasileira de Educação, (23), 75–85. https://doi.org/10.1590/S1413-24782003000200006

Hackett, G., Hackett, G., Betz, N. E., Casas, J. M., & Rocha-Singh, I. A. (1992). Gender, ethnicity, and social cognitive factors predicting the academic achievement of students in engineering. Journal of Counseling Psychology, 39(4), 527–538. https://doi.org/10.1037/0022-0167.39.4.527

Instituto Nacional de Estudos e Pesquisas Anísio Teixeira. (2015). Portaria INEP no 220, de 10 de junho de 2015. Retrieved from http://download.inep.gov.br/educacao_superior/enade/legislacao/2015/ciencias_contabeis_portaria_inep_n220_10062015.pdf

Jagero, N., & Masasi, N. J. (2011). How prior academic exposure affect students performance in undergraduate accounting course in Tanzania. International Journal of Business & Management Tomorrow, 1(1), 1–19. Retrieved from https://s3.amazonaws.com/academia.edu.documents/32848533/IJBMT_Oct-2011.pdf?AWSAccessKeyId=AKIAIWOWYYGZ2Y53UL3A&Expires=1515781909&Signature=aJ6DaerbvzXq%2BUe5dbs%2B8eo%2FtcQ%3D&response-content-disposition=inline%3B filename%3DIJBMT_Oct-2011.pdf#page=149

Koh, M. Y., & Koh, H. C. (1999). The determinants of performance in an accountancy degree programme. Accounting Education, 8(1), 13–29. https://doi.org/10.1080/096392899331017

Krieg, R. G., & Uyar, B. (2001). Student performance in business and economics statistics: Does exam structure matter? Journal of Economics and Finance, 25(2), 229–241. https://doi.org/10.1007/BF02744525

Miranda, G. J., Lemos, K. C. da S., Oliveira, A. S. de, & Ferreira, M. A. (2015). Determinantes do Desempenho Acadêmico na Área de Negócios. Revista Meta: Avaliação, 7(20), 175–209. https://doi.org/10.22347/2175-2753v7i20.264

Moura, A. C. da R., Miranda, G. J., & Pereira, J. M. (2015). Desempenho acadêmico em ciências contábeis: turno noturno versus diurno. Enfoque: Reflexão Contábil, 34(1), 57–70. https://doi.org/10.4025/enfoque.v34i1.23020

Nogueira, D. R., Costa, J. M. da, Takamatsu, R. T., & Reis, L. G. dos. (2013). Fatores que impactam o desempenho acadêmico: uma análise com discentes do curso de ciências contábeis no ensino presencial. Revista de Informação Contábil, 7(3), 51–62. Retrieved from https://periodicos.ufpe.br/revistas/ricontabeis/article/viewFile/7991/8063

Pathways Commission. (2012). The Pathways Commission: Charting a national strategy for the next generation of accountants. Retrieved from http://commons.aaahq.org/posts/a3470e7ffa

Peiperl, M. A., & Trevelyan, R. (1997). Predictors of performance at business school and beyond. Journal of Management Development, 16(5), 354–367. https://doi.org/10.1108/02621719710174534

Poyrazli, S., & Kavanaugh, P. R. (2006). Marital status, ethnicity, academic achievement, and adjustment strains: The case of graduate international students. College Student Journal, 40(4), 767–780. Retrieved from https://s3.amazonaws.com/academia.edu.documents/37635758/2006_College_Student_J_Article.pdf?AWSAccessKeyId=AKIAIWOWYYGZ2Y53UL3A&Expires=1515781712&Signature=3LGKIDxfNu75bEftPr87pL5YLu8%3D&response-content-disposition=inline%3B filename%3DMarital_Status_Et

Radford, A. W. (2011). Learning at a distance: Undergraduate enrollment in distance education courses and degree programs. Retrieved from https://nces.ed.gov/pubs2012/2012154.pdf

Ravenscroft, S. P., & Buckless, F. A. (1992). The effect of grading policies and student gender on academic performance. Journal of Accounting Education, 10(1), 163–179. https://doi.org/10.1016/0748-5751(92)90023-X

Seow, P.-S., Pan, G., & Tay, J. (2014). Revisiting the determinants of students’ performance in an undergraduate accountancy degree programme in Singapore. Global Perspectives on Accounting Education, 11, 1–23. Retrieved from http://ink.library.smu.edu.sg/soa_research%5Cnhttp://ink.library.smu.edu.sg/soa_research/1247

Taplin, M., & Jegede, O. (2001). Gender Differences in Factors Influencing Achievement of Distance Education Students. Open Learning: The Journal of Open, Distance and e-Learning, 16(2), 133–154. https://doi.org/10.1080/02680510120050307

U. S. Department of the Treasury. (2008). Final Report of the Advisory Committee on the Auditing Profession to the U.S. Department of the Treasury. In Advisory Committe on the Audit Profession. Retrieved from https://www.treasury.gov/about/organizational-structure/offices/Documents/final-report.pdf

Weber, S. (2010). Bacon: An Effective way to Detect Outliers in Multivariate Data Using Stata (and Mata). The Stata Journal: Promoting Communications on Statistics and Stata, 10(3), 331–338. https://doi.org/10.1177/1536867X1001000302




DOI: http://dx.doi.org/10.4301/S1807-1775202017007