Journal of Engineering Education Transformations

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Conducting Quantitative Research Study : A Step-by-Step Process


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1 Engineering Pathways, Gallogly College of Engineering, University of Oklahoma, Norman 73019, United States
     

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In the recent past, engineering education research (EER) is gaining increasing acceptance and recognition globally. Specifically, EER is growing in India over the last decade. As EER is nascent in India, there is a need to understand the different research methods in EER such that appropriate methods are chosen while conducting EER-related activities. EER involves three methods: quantitative, qualitative, and mixed research methods. The purpose of this paper is to document in detail all the steps followed by specific examples in quantitative research methods when conducting EER. Quantitative research is a systematic investigation of a research topic under consideration by collecting quantifiable data and performing mathematical and statistical manipulations on the collected data to produce findings that add to the existing body of literature. In quantitative research studies, data is collected by sending out online polls, questionnaires, surveys, etc. Quantitative research methods are used to fundamentally quantify different aspects in research-related activities such as attitudes, beliefs, behaviours, opinions, etc. of the samples under study to provide meaningful conclusions with noteworthy implications.

The different steps used in a quantitative research study typically include (1) focusing on your interests and finalizing the research topic, (2) framing research questions to be investigated, (3) conducting a thorough literature review, (4) choosing/creating an appropriate framework to guide the study (5) designing the research, (6) selecting the research site and research participants, (7) collecting data by sending out surveys, (8) analysing the collected data, (9) documenting important findings, and (10) publishing results. Quantitative research offers various advantages including reaching a higher sample size, quick data collection, the generalizability of the findings, etc. This paper will be of help to novice engineering education researchers as they can use this paper as a process document to guide themselves when conducting quantitative research projects.


Keywords

Engineering Education Research, Novice Researchers, Quantitative Research, Statistical Analysis, Survey Design.
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  • Kittur, J., Coley, B. C., & Kellam, N. N. (2020, June). Understanding how Novice Indian Faculty Engage in Engineering Education Research. In 2020 ASEE Virtual Annual Conference Content Access.

  • Kittur, J., & Brunhaver, S. R. (2020, June). Developing an Instrument to Measure Engineering Education Research Self-Efficacy. In 2020 ASEE Virtual Annual Conference Content Access.

  • Richlin, L. Scholarly teaching and the scholarship of teaching. New directions for teaching and learning, (86), 57-68, 2001

  • Engineering Education Research, Accessed: December 20, 2020. [Online]. Available: https://en.wikipedia.org/wiki/Engineering_education_research#:~:txt=Engineering%20education%20research%20(EER) %20is,as%20they%20pertain%20to%20engine ering.

  • Colloquies. (2006). The Research Agenda for the New Discipline of Engineering Education. Journal of Engineering Education (October), 259-261.

  • Borrego, M. (2007). Conceptual difficulties experienced by trained engineers learning educational research methods. Journal of Engineering Education, 96(2), 91-102.

  • Borrego, M., Douglas, E. P., & Amelink, C. T. (2009). Quantitative, qualitative, and mixed research methods in engineering education. Journal of Engineering education, 98(1), 53-66.

  • Kittur, J. (2020). Measuring the programming self-efficacy of Electrical and Electronics Engineering students. IEEE Transactions on Education, 63(3), 216-223.

  • Research in Engineering Education Network, Accessed: Sep. 15, 2018. [Online]. Available: https://www.reen.co/eer-journals,

  • Quantitative Research: Definition, Methods, Types and Examples, Accessed: Jan. 15, 2021. [Online]. Available: https://www.questionpro.com/blog/quantitative -research/

  • Kittur, J., & Salunke, M. (2020). Mixed Learning Styles: AStrategy for Team Formation. Journal of Engineering Education Transformations, 33, 434-441.

  • How to Write a Literature Review | Guide, Video and Template, Accessed: Jan 18, 2021. [Online]. Available: https://www.scribbr.com/dissertation/literature-review/

  • Osanloo, A., & Grant, C. (2016). Understanding, selecting, and integrating a theoretical framework in dissertation research: Creating the blueprint for your “house”. Administrative issues journal: connecting education, practice, and research, 4(2), 7.

  • McCoach, D. B., Gable, R. K., & Madura, J. P. (2013). Affective characteristics in school and corporate environments: Their conceptual definitions. In Instrument development in the affective domain (pp. 1-32). Springer, New York, NY.

  • G*Power Statistical Analysis Software Package. Accessed: Sep. 15, 2018. [Online]. Available: http://www.gpower.hhu.de/en.html

  • Cook, R. M. (2021). Addressing missing data in quantitative counseling research. Counseling Outcome Research and Evaluation, 12(1), 43-53.

  • Nissen, J., Donatello, R., & Van Dusen, B. (2019). Missing data and bias in physics education research: A case for using multiple imputation. Physical Review Physics Education Research, 15(2), 020106.

  • Berchtold, A. (2019). Treatment and reporting of item-level missing data in social science research. International Journal of Social Research Methodology, 22(5), 431-439.

  • Lee, W. C., Godwin, A., & Nave, A. L. H. (2018). Development of the engineering student integration instrument: Rethinking measures of integration. Journal of Engineering Education, 107(1), 30-55.

  • Lewis, T. F. (2017). Evidence regarding the internal structure: Confirmatory factor analysis. Measurement and Evaluation in Counseling and Development, 50(4), 239-247.

  • Orcan, F. (2018). Exploratory and confirmatory factor analysis: which one to use first. Journal of Measurement and Evaluation in Education and Psychology, 9(4), 414-421.

  • Abrahim, S., Mir, B. A., Suhara, H., Mohamed, F. A., & Sato, M. (2019). Structural equation modeling and confirmatory factor analysis of social media use and education. International Journal of Educational Technology in Higher Education, 16(1), 32.

  • Bafadal, I., Juharyanto, J., Nurabadi, A., & Gunawan, I. (2018, October). Principal Leadership and its Relationship with Student Learning Achievements: ARegression Analysis. In 3rd International Conference on Educational Management and Administration (CoEMA 2018). Atlantis Press.

  • Yeung, S. K., & Lee, W. L. (2019). Online Versus Face-to-Face: A Quantitative Study of Factors Influencing Students' Choice of Study Mode using Chi-Square Test and Binary Logistic Regression. Research Repository, 340.

  • Kittur, J., Brunhaver, S., Bekki, J., & Lee, E. (2021, January). Role of course and individual characteristics in the course-level persistence intentions of online undergraduate engineering students: A path analysis. In REES AAEE 2021 conference: Engineering Education Research Capability Development: Engineering Education Research Capability Development (pp. 971-979). Perth, WA: Engineers Australia.

  • Ponton, M. K., Carr, P. B., & Derrick, M. G. (2004). A path analysis of the conative factors associated with autonomous learning. International Journal of Self-Directed Learning, 1(1), 59-69.

  • Mustafa, Z., Suradi, N. R. M., Wan, N. N. I., Ismail, W. R., Ali, Z. M., & Shahabuddin, F. A. A. (2009). Modeling of quality technical education using path analysis. ANZIAM Journal, 51, C834-C851.

  • Kittur, J., Brunhaver, S. R., Bekki, J. M., & Lee, E. (2021, July). Examining the Impact of Interpersonal Interactions on Course-level Persistence Intentions Among Online Undergraduate Engineering Students. In 2021 ASEE Virtual Annual Conference Content Access.

  • London, B., Rosenthal L., Levy, S., & Lobel, M. (2011). The Influences of Perceived Identity Compatibility and Social Support on Women in Nontraditional Fields During the College Transition, Basic and Applied Social Psychology, 33:4, 304-321.

  • Nešic, D., & Nyberg, M. (2017). Applying Multi-Level Modeling to Data Integration in Product Line Engineering. In Proceedings MODELS Satelite events: International Workshop on Multi-Level Modeling (Vol. 17, pp. 235-242).

  • Advantages and Disadvantages of Quantitative Research, Accessed: April 25, 2022. [Online]. Available: https://www.thebalancesmb.com/quantitative-research-advantages-and-disadvantages-2296728


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  • Conducting Quantitative Research Study : A Step-by-Step Process

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Authors

Javeed Kittur
Engineering Pathways, Gallogly College of Engineering, University of Oklahoma, Norman 73019, United States

Abstract


In the recent past, engineering education research (EER) is gaining increasing acceptance and recognition globally. Specifically, EER is growing in India over the last decade. As EER is nascent in India, there is a need to understand the different research methods in EER such that appropriate methods are chosen while conducting EER-related activities. EER involves three methods: quantitative, qualitative, and mixed research methods. The purpose of this paper is to document in detail all the steps followed by specific examples in quantitative research methods when conducting EER. Quantitative research is a systematic investigation of a research topic under consideration by collecting quantifiable data and performing mathematical and statistical manipulations on the collected data to produce findings that add to the existing body of literature. In quantitative research studies, data is collected by sending out online polls, questionnaires, surveys, etc. Quantitative research methods are used to fundamentally quantify different aspects in research-related activities such as attitudes, beliefs, behaviours, opinions, etc. of the samples under study to provide meaningful conclusions with noteworthy implications.

The different steps used in a quantitative research study typically include (1) focusing on your interests and finalizing the research topic, (2) framing research questions to be investigated, (3) conducting a thorough literature review, (4) choosing/creating an appropriate framework to guide the study (5) designing the research, (6) selecting the research site and research participants, (7) collecting data by sending out surveys, (8) analysing the collected data, (9) documenting important findings, and (10) publishing results. Quantitative research offers various advantages including reaching a higher sample size, quick data collection, the generalizability of the findings, etc. This paper will be of help to novice engineering education researchers as they can use this paper as a process document to guide themselves when conducting quantitative research projects.


Keywords


Engineering Education Research, Novice Researchers, Quantitative Research, Statistical Analysis, Survey Design.

References