The Influence of Technological Resources on Masters’ Students’ Use of Statistics in Research

  • Joseph M. Mubichakani Department of Education Science, University of Eldoret, P.O. BOX 1125, Eldoret
  • John Simiyu Department of Education Science, University of Eldoret, P.O. BOX 1125, Eldoret
  • Kitainge M. Kisilu Department of Education Science, University of Eldoret, P.O. BOX 1125, Eldoret
Keywords: Department of Education Science, University of Eldoret, P.O. BOX 1125, Eldoret

Abstract

Approximately 2.1 million adolescents in the world are HIV positive with 15% of the HIV-infected females are considered to be young women aged 15 to 24 years. Eighty per cent of them live in sub-Saharan Africa which makes the most predominant place for female between 15 to 19 (UNAIDS, 2014). The UNAIDS Gap Report states that there is a gap in the provision of psychological services addressing stigma among other reproductive health needs among adolescent girls as they prepare for adulthood (UNAIDS, 2014). The study sought to determine the effects of Perceived Stigma towards HIV/AIDS on psychological wellness among adolescents living with HIV/AIDS in Ruiru Sub-County, Kiambu County, Kenya. The study used a quantitative research design using the survey method of data collection. Three questionnaires were adopted to assess the three variables. Study participants were recruited from among adolescents in long-term follow-up in the five HIV Comprehensive Care Centres in Ruiru Sub-County, Kiambu County, Kenya. Purposive sampling was used to select a sample of 75 adolescents between 12-19 years. Regression analysis results revealed perceived stigma to be a significant predictor of psychological wellness, t = -3.293, p = 0.020.

References

Ashley, C. (2018). A Review of Software Tools for Quantitative Data Analysis. Retrieved from https://www.thoughtco.com/quantitative-analysis-software-review-3026539

Assimakopoulos, D., & Yan, J. (2006). Sources of knowledge acquisition for Chinese software engineers. R&D Management, 36(1), 97-106.

Bangdiwala, S. I. (2001). Statistical considerations for the design, conduct and analysis of the efficacy of safe community interventions. Injury control and safety promotion, 8(2), 91-97.

Bishop, G. & Talbot, M. (2001). Statistical thinking for novice researchers in the biological sciences. Training researchers in the use of statistics, 215-226.

Clark R. B. (1993) The research Foundations of Graduate Education. Germany, Britain, France, United States, Japan. University of Caifornia press, Los Angeles.

Cloete, N., & Maassen, P. (2015). Roles of universities and the African context. Knowledge production and contradictory functions in African higher education, 1-17.

Estabrooks, C. A., Rutakumwa, W., O’Leary, K. A., Profetto-McGrath, J., Milner, M., Levers, M. J., & Scott-Findlay, S. (2005). Sources of practice knowledge among nurses. Qualitative health research, 15(4), 460-476.

Fletcher, M., & Harris, S. (2012). Knowledge acquisition for the internationalization of the smaller firm: Content and sources. International Business Review, 21(4), 631-647.

Friedman, J. H. (2001). The role of statistics in the data revolution? International Statistical Review, 69(1), 5-10.

Glencross, M. J., & Binyavanga, K. W. (1997). 25. The role of technology in statistics education: a view from a developing region. Research on the role of technology in teaching and learning statistics, 301.

Harraway, J. Manly, B. Sutherland, H. & McRae, A. (2001). Meeting the statistical needs of researchers in the biological and health sciences. Training researchers in the use of statistics, 177-195.

Iversen, G. R. (2001). Bayesian Models and World Contructs. Training Researchers, 103.

Jones, P. (1997). Examining the Educational Potential of Computer-Based Technology in Statistics. Research on the Role of Technology in Teaching and Learning Statistics, 233.

Jung, I. (2005). ICT Pedagogy Integration in Teacher Training: Application Cases Worldwide, in Educational Technology and Society, volume 8 (2) pp 94-101.

Maindonald, J.H. (1999). Data Mining from a Statistical Perspective, Statistics Consulting Unit, Australia, available at: http://www.maths.anu.edu.au/~johnm/dm/dmpaper.html

Mji, A., & Glencross, M. J. (2001). The role of a research resource centre in the training of social science researchers. South African Journal of Higher Education, 15(2), 179-185.

Mubichakani M. J. and Koros C. S. (2014) Bridging Gender Disparities in Mathematics Achievement through Computer Based Learning, in Journal of Education and Practice, Vol.5, No.6, Pg 118 – 123.

Mubichakani, M. J. (2012); Computer Based Learning in Mathematics; A Gender Related Study in Bungoma North District, Kenya. German, Lambert Academic Publishing.

Muia, M. A. and Oringo, O. J. (2016) Constraints on Research Productivity in Kenyan Universities: Case Study of University of Nairobi, Kenya in International Journal of Recent Advances in Multidisciplinary Research, 3(8), 1785-1794.

Mukhwana, E. Oure, S. Too J. and Some D. K. (2016): State of Postgraduate Research Training in Kenya. Commission for University Education. Discussion Paper 02. Nairobi, Kenya.

Murray, G. D. (1991). Statistical aspects of research methodology. British journal of surgery, 78(7), 777-781.

Musiige, G., & Maassen, P. (2015). Faculty perceptions of the factors that influence research productivity at Makerere University. Knowledge production and contradictory functions in African higher education, 109-127.

Rotich P. K, Ronoh R. K. and Mubichakani M. J. (2018) Attitude towards Computers among Primary School Teachers in Kenya: A case of Siongiroi Division, Bomet County, in international journal of Engineering and Computer Science, 7(2).

Saville, D. J. (2001). A hands-on, interactive method of teaching statistics to agricultural researchers. In In C. Batanero (Ed.), Training researchers in the use of statistics (pp. 197-213). Granada: International Association for Statistical Education and International Statistical Institute.

Sawyerr, A. (2004) African Universities and the Challenge of Research Capacity Development in JHEA/RESA, 2(1), 211–240

Scott (2015) Why Kenya ranks low on quality of academic research, retrieved from https://www.businessdailyafrica.com/lifestyle/society

Sprent, P. (2003). Statistics in medical research. Swiss medical weekly, 133(3940).

Starkings, S. (1997). How Technological Introduction Changes the Teaching of Statistics and Probability at the College Level. Research on the role of technology in teaching and learning statistics, 233-254.

Svensson, E. (2001). Important considerations for optimal communication between statisticians and medical researchers in consulting, teaching and collaborative research–with a focus on the analysis of ordered categorical data. Training researchers in the use of statistics, 23-35.

Tijssen, R. (2015). Research output and international research cooperation in African flagship universities. Knowledge production and contradictory functions in African higher education, 61-74.

Votruba, C. J (1996) Strengthening the University’s Alignment with Society: challenges and Strategies in Journal of Public Service and Outreach, Volume 1, 29-36

Wei, Y. (2001). The training of researchers in the use of statistics in China. Training researchers in the use of statistics, 311-317.

Yamamoto, S. (2001). Basic research and the role of universities in Japan: Workshop on basic research at Oslo, Norway, 29-30. Retrieved from http://www.oecd.org/dataoecd/39/32/2674535.pdf

Zwiers, F. W., & Von Storch, H. (2004). On the role of statistics in climate research. International Journal of Climatology, 24(6), 665-680.
Published
2019-09-18
How to Cite
Mubichakani, J., Simiyu, J., & Kisilu, K. (2019, September 18). The Influence of Technological Resources on Masters’ Students’ Use of Statistics in Research. African Journal of Education,Science and Technology, 5(2), Pg 307-317. Retrieved from http://ajest.info/index.php/ajest/article/view/378
Section
Articles