Rasch analysis of exams: A way to document graduate outcomes to employers?

Authors

  • Danny Richard Bedgood, Jr. Charles Sturt University
  • Yann Guisard Charles Sturt University
  • Julia Howitt Charles Sturt University
  • Paul Prenzler Charles Sturt University
  • Celia Barril Charles Sturt University
  • Danielle Ryan Charles Sturt University

Keywords:

Rasch analysis, Graduate outcomes, learning outcomes

Abstract

This presentation reports of a Rasch analysis (Rasch, 1960) performed on two final exams for first year, service taught, chemistry subjects. These subjects targeted students of vastly different educational backgrounds, but the exams were designed and proofed by the same team of academics. Using this approach, we were able to assess the performance of students as well as that of the exam questions (Bond and Fox, 2007). Importantly, we were pleased that for both exams, the performance of students correlated well with their grades. For each subject a number of important topics and categories of material exist as learning outcomes for the students. Analysis of the exam questions within these topics and categories allows a quantified measure of how each student does on each topic. This talk will briefly examine a sample of students’ information based upon these categories. It will suggest such information could be provided by students to employers in order to evidence the student’s mastery of a discipline, as defined in the subject(s) learning outcomes and along a scaffolded continuum (from first year to final year). Bond, T. G. and C. M. Fox (2007). Applying the Rasch Model. Fundamental Measurements in the Human Sciences. Mahwah, New Jersey, Routledge. Rasch, G. (1960). Probabilistic models for some intelligence and attainment tests. Copenhagen, Danmarks Paedagogiske Institut. Proceedings of the Australian Conference on Science and Mathematics Education, The University of Queensland, Sept 28th to 30th, 2016, page X, ISBN Number 978-0-9871834-4-6.

Author Biographies

Danny Richard Bedgood, Jr., Charles Sturt University

School of Agricultural and Wine Science

Yann Guisard, Charles Sturt University

School of Agricultural and Wine Science

Julia Howitt, Charles Sturt University

School of Agricultural and Wine Science

Paul Prenzler, Charles Sturt University

School of Agricultural and Wine Science

Celia Barril, Charles Sturt University

School of Agricultural and Wine Science

Danielle Ryan, Charles Sturt University

School of Agricultural and Wine Science

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Published

2017-08-21