STATISTICS IN THE WORKPLACE: A SURVEY OF USE BY

ECENT GRADUATES WITH HIGHER DEGREES

 

JOHN A. HARRAWAY

Department of Mathematics and Statistics

University of Otago, New Zealand

jharraway@maths.otago.ac.nz

 

RICHARD J. BARKER

Department of Mathematics and Statistics

University of Otago, New Zealand

rbarker@maths.otago.ac.nz

 

ABSTRACT

 

A postal survey was conducted regarding statistical techniques, research methods and software used in the workplace by 913 graduates with PhD and Masters degrees in the biological sciences, psychology, business, economics, and statistics. The study identified gaps between topics and techniques learned at university and those used in the workplace, and points to deficiencies in statistical preparation for employment. Courses requested include multivariate statistics, generalized linear models, research design and power analysis taught with minimal emphasis on probability and mathematics. Recommendations are presented, such as expanding statistical service courses to eliminate gaps, the development of intensive workshops for postgraduate students and for workplace retraining, or involving staff from other departments to provide context for statistics teaching.

 

Keywords: Statistics education research; Survey; Curriculum development; Data specialist major; Workplace needs

 

 

__________________________

Statistics Education Research Journal, 4(2), 43-58, http://www.stat.auckland.ac.nz/serj

Ó International Association for Statistical Education (IASE/ISI), Nov, 2005

 

 

 

REFERENCES

 

Aiken, L.S., West, S. G., Sechrest, L., & Reno, R. R. (1990). Graduate Training in Statistics, Methodology and Measurement in Psychology. American Psychologist, 45, 721-734.

Brennan, J., Lyon, E. S., Schomburg, H., & Teichler, U. (1994). The experiences and views of graduates messages from recent surveys. Higher Education Management, 6, 275-304.

Edwards, P., Roberts, I., Clarke, M., DiGuiseppi, C., Pratap, S., Wentz, R., & Kwan, I. (2002). Increasing response rates to postal questionnaires: systematic review. British Medical Journal, 324, 1183-1185.

Harraway, J. A., Manly, B. F. J., Sutherland, H., & McRae, A. (2001). Meeting the statistical needs of researchers in the biological and health sciences. In C. Batanero (Ed.), Training Researchers in The Use of Statistics (pp. 177-195). Voorburg, The Netherlands: International Association for Statistical Education and International Statistical Institute.

Higgins, J. J. (1999). Nonmathematical statistics: a new direction for the undergraduate discipline. The American Statistician, 53(1), 1-6.

Holmes, P. (1998) Matching education, assessment and employment needs in statistics. Report on MEANS project.

[Online: http://science.ntu.ac.uk/rsscse/means/means.html]

Howard, A., Pion, G. M., Gottfredson, G. D., Flattau, P. E., Oskamp, S., Pfafflin, S. M., Bray, D. W., & Burstein, A.G. (1986). The changing face of American Psychology: A report from the committee on employment and human resources. American Psychologist, 41, 1311-1327.

Jolliffe, F., & Rangecroft, M. (1997). Statistical software use by student and consultant statisticians in the UK-a comparative study.

      [Online: http://www.stats.gla.ac.uk/cti/activities/reviews/97_08/software_su]

Moore, D. S. (1997). Bayes for beginners? Some reasons to hesitate. The American Statistician, 51, 254-261.

Moore, D. S. (2001). Undergraduate programs and the future of academic statistics. The American Statistician, 55(1), 1-6.

Secretary’s Commission on Achieving Necessary Skills (SCANS) (1989). US Department of Labor, Employment and Training Administration [Online: http://www.tvi.cc.nm.us/html/scans.html]

 

J. A. HARRAWAY

Department of Mathematics and Statistics

University of Otago

PO Box 56, Dunedin

New Zealand