June 15, 2019
June 15, 2019
October 19, 2019
As evidenced by the ABET criteria and numerous publications, the growing need to foster ethical awareness in engineering students is pronounced. Despite this, the ability to definitively show accreditation boards, such as ABET, that good work is being done is scarcely achievable due to the subjective nature of ethical judgements. In an effort to standardize at least some means by which ethical reasoning can be measured in engineering students, a team at Purdue developed the Engineering Ethical Reasoning Instrument (EERI). This instrument was based on a second iteration of the Kohlbergian Defining Issues Test (DIT2). The EERI was designed to be an adaptation of the DIT2, but with scenarios contextually relevant to engineering. Ideally, the EERI is intended to measure the degree to which participants reason “post-conventionally,” described in neo-Kohlbergian theory as that which is intended to benefit society as a whole, regardless of normative expectations (conventional) or self-consideration (pre-conventional). Since the EERI was developed and first presented at ASEE in 2013, there have been ten additional papers presented at ASEE conferences which have either been directly about the EERI or have used the EERI as an instrument in their methodology. Now, after several years of being administered at Purdue and other institutions, there are 2000+ total responses. This paper delineates the first formal analysis of the aggregated descriptive statistics from strategic samples of the total population of participants. Of particular interest in this first set of results are the effects of factors such as age and major. A comparison of students in design-oriented majors and non-design-oriented majors is also conducted. Lastly, the preliminary results from scale validation analysis of the EERI are presented and discussed.
Odom, P. W., & Zoltowski, C. B. (2019, June), Statistical Analysis and Report on Scale Validation Results for the Engineering Ethical Reasoning Instrument (EERI) Paper presented at 2019 ASEE Annual Conference & Exposition , Tampa, Florida. 10.18260/1-2--33283
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