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FSB Directory

Jordan Tait

Assistant Teaching Professor

Information Systems & Analytics


Jordan Tait

Contact Information

Office Hours

  • W 12-3 (VIRTUAL)
  • TR 1-2

Links

* Accessible version of PDF available upon request.

Profile

Academic Background

  • Ph.D. Michigan State University, Measurements & Quantitative Methods, 2019-2022
  • M.S. Michigan State University, Statistics & Probability, 2018
  • M.S. Minnesota State University Mankato, Mathematics & Statistics, 2014
  • B.S. Minnesota State University Mankato, Mathematics & Physics, 2012

Academic & Professional Experience

  • Visiting Assistant Professor, Miami University, Present
  • Statistical Consultant, Center for Statistical Training & Consulting, Michigan State University, 2022
  • Lecturer and Consultant, Summer Institute in Advanced Research Methods for STEM and Education Research, Michigan State, 2021-2022
  • Research Assistant, Construction Management, Michigan State University, 2020-2022
  • Research Assistant, Teachers in Social Media, Michigan State University, 2019-2020
  • Fixed Term Faculty, Engineering Statistics, Michigan State University, 2019
  • Instructor, Business Statistics, Michigan State, 2018
  • Research Assistant, Neuroscience, Michigan State, 2017
  • Instructor, Intro Statistics, Michigan State, 2016
  • Data & Research Analyst, United Health Group, 2015-2016
  • President, Student Association for Mathematical Experiences in Research, Minnesota State University Mankato, 2009-2014
  • Instructor, Intro Statistics / College Algebra, Minnesota State University Mankato, 2012-2014

Recent Publications

  • Torphy Knake, K., Tait, J., & Frank, K. (2022). Use of social media communities to improve education. Handbook on Improvement Research in Education. Rowman & Littlefield.
  • Zhao, D., Duva, M., Mollaoglu, S., Frank, K., Garcia, A., & Tait, J. (2021). Integrative Collaboration in Fragmented Project Organizations: Network Perspective. Journal of Construction Engineering and Management, 147(10), 04021115.
  • Torphy Knake, K., Chen, Z., Yang, X., & Tait, J. (2021). Pinterest curation and student achievement: The effects of elementary mathematics resources on students learning over time. Elementary School Journal.
  • Kim, I. J., Barthel, B. P., Park, Y., Tait, J. R., Dobmeier, J. L., Kim, S., & Shin, D. (2014). Network analysis for active and passive propagation models. Networks, 63(2), 160-169.

Honors & Awards

  • Robert L. Ebel Endowed Scholorship, Michigan State University, 2019
  • Outstanding Graduate Student Teaching Award, Michigan State University, 2017
  • Best Presentation Award, Undergraduate Research Symposium, Minnesota State University Mankato, 2012
  • Best Presentation Award, Undergraduate Research Conference, Minnesota State University Mankato, 2011

Biography

Jordan Tait is a Visiting Assistant Professor of Business Analytics at Miami University. His current Ph.D. dissertation in Measurement and Quantitative Methods is focused around causal inference and sensitivity analysis. He received his M.S. degrees in Statistics & Probability from Michigan State in 2018, and Mathematics & Statistics from Minnesota State University in 2014. He holds a B.S. in Mathematics and Physics from Minnesota State University.

Prior to joining the faculty at Miami University, Jordan held the position of Data, Research & Development Analyst at United Health Group headquarters in Minneapolis.

Jordan's research focuses include social network analysis, core periphery network structures, causal inference, sensitivity analysis and extended ensemble estimation.

He has taught statistics courses at many levels and currently teaches introductory classes.

Courses

  • ISA 125 F 2:50-4:10 TR FSB0033
  • ISA 125 H 8:30-9:50 TR FSB0033
  • ISA 125 I 10:05-11:25 TR FSB0033
  • ISA 125 J 11:40-1 TR FSB0033