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By The Numbers: A Review of Quantitative Research Methods in Journal of Engineering Education from 2012 to 2022

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Conference

2023 ASEE Annual Conference & Exposition

Location

Baltimore , Maryland

Publication Date

June 25, 2023

Start Date

June 25, 2023

End Date

June 28, 2023

Conference Session

Reviewing Methods for Educational Research

Tagged Division

Educational Research and Methods Division (ERM)

Page Count

15

DOI

10.18260/1-2--43097

Permanent URL

https://peer.asee.org/43097

Download Count

787

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Paper Authors

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Alfa Satya Putra Purdue University, West Lafayette

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Alfa Satya Putra is from Indonesia and is a 1st year PhD student at School of Engineering Education at Purdue University. He has Bachelor's and Master's degree in Electrical and Computer Engineering from Purdue University. Before joining the PhD program, Alfa has served as faculty member in Indonesia at Surya College of Education, and at Universitas Pelita Harapan.

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Jason Morphew Purdue University, West Lafayette

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Dr. Jason Morphew is currently an assistant professor at Purdue University in Engineering Education and Morphew is affiliated with the INSPIRE research institute for Pre-College Engineering and the Center for Advancing the Teaching and Learning of STEM. Dr. Morphew's research focuses on the application of principles of learning derived from cognitive science and the learning sciences to the design and evaluation of learning environments and technologies that enhance learning, interest, and engagement in STEM.

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Li Tan Arizona State University

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Li Tan is an Assistant Professor of Engineering Education Systems and Design in the Polytechnic School at Arizona State University.

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Abstract

Engineering education is a fast-growing field and as research questions have become more intricate, there have been recent calls for more sophisticated quantitative methods in engineering education. Traditional quantitative research methods have been used for a long time in educational research, and these methods have been important in developing our understanding of how learning with engineering occurs. However, there has been advancement in new and advanced quantitative methods that allow researchers to conduct a more nuanced analysis of student outcomes. In particular, methods for conducting person-centered analyses and analyzing large and nested data sets have become more pervasive in educational research. In this paper, we present a systematic review of publications in the Journal of Engineering Education (JEE) over the past eleven years. Specifically, we examined which quantitative methods are used to develop a picture of the state of quantitative methods in engineering education. The review categorizes the quantitative methods used in a total of 302 papers published in JEE from 2012 to 2022. The results found that while a large number of studies used basic statistical testing, there is a trend of more advanced quantitative methods being used over the years.

Satya Putra, A., & Morphew, J., & Tan, L. (2023, June), By The Numbers: A Review of Quantitative Research Methods in Journal of Engineering Education from 2012 to 2022 Paper presented at 2023 ASEE Annual Conference & Exposition, Baltimore , Maryland. 10.18260/1-2--43097

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