2023 ASEE Annual Conference & Exposition

This work in progress paper describes the development of an instrument to assess graduate student motivation towards doctoral degree completion. Doctoral attrition rates in the United States have been estimated to be around 40% over a 10 year completion period [8]. King [8] also found that less than 20% of students complete their doctoral programs in the expected timeframe of between 3 and 4 years. These results indicate the need to better understand factors that affect graduate students' experience during their doctoral program, particularly their choice to persist, so we can ensure equal opportunities for Ph.D completion. Spaulding and Rockinson-Szapkiw [12] talk about personal factors that contribute to doctoral students’ persistence. These factors include motivation, strategies for writing the dissertation, time management, and attributes such as credibility, commitment, and increased monetary compensation. As part of this research study, we have selected to focus upon student motivation as motivation theories have been found to provide explanations for factors that influence individuals choices and actions [3]. Specifically, we have selected the Expectancy-Value Theory (EVT) of motivation because it considers social, cultural, and psychological factors [1], making it beneficial for elements that could be relevant in a graduate studies program.

This work seeks to create a motivational instrument specific to an engineering graduate studies program setting. Our instrument development process began with the Engineering Motivation Survey, developed by Brown & Matusovich [2]. This survey instrument was designed to measure motivation of undergraduate engineering students towards engineering education and career choices. Ultimately, the purpose was to measure motivational factors that contribute toward choices to pursue and complete engineering degrees. The 35 likert scale questions were rephrased to focus on a graduate student setting. After the rephrasing, the draft survey was used in a Think-aloud protocol with six engineering graduate students to determine what changes may be needed to better support its new area of implementation. Upon finalization of the graduate student engineering motivation survey we will apply it to measure civil and environmental engineering graduate students’ motivation towards their doctoral degree completion as part of their participation in a Graduate Assistance in Areas of National Need (GAANN) program.

Keywords: motivation, expectancy value theory, graduate education, survey