I am professor in Measurement and Quantitative
Methods (click here to apply to the
program) within Department of
Counseling, Educational Psychology and Special Education within
the College of Education and also in Fisheries and Wildlife within the College of Agriculture and Natural Resources
at Michigan State University.
As of 2015 I am MSU Foundation Professor of Sociometrics (referring to the
quantitative study of social context).
I am affiliated with the Center for Systems Integration and Sustainability,
the Education Policy Center and the Center for Statistical Training and Consulting
Kenneth Frank received his Ph.D. in measurement, evaluation and statistical
analysis from the School
of Education at the University of Chicago in 1993. He is MSU Foundation professor of Sociometrics, professor in Counseling, Educational
Psychology and Special Education; and adjunct (by courtesy) in Fisheries and
Wildlife and Sociology at Michigan State University. His substantive interests include the study
of schools as organizations, social structures of students and teachers and
school decision-making, and social capital.
His substantive areas are linked to several methodological interests:
social network analysis, sensitivity analysis and causal inference (http://konfound-it.com), and multi-level
models. His publications include quantitative methods for representing
relations among actors in a social network, robustness indices for sensitivity
analysis for causal inferences, and the effects of social capital in schools,
natural resource management, and other social contexts. Dr. Frank’s current projects include how
beginning teachers’ networks affect their response to the Common Core; how
schools respond to increases in core curricular requirements; school
governance; teachers’ use of social media https://www.teachersinsocialmedia.com/);
implementation of the Carbon-Time science curriculum (http://carbontime.bscs.org/); epistemic
network analysis (http://www.epistemicnetwork.org/);
social network intervention in natural resources and construction management;
complex decision-making in health care; and the diffusion of knowledge about
1988 - 1993 University of Chicago
Department of Education, program in Measurement, Evaluation, and Statistical
My dissertation concerned the use of an iterative partitioning clustering algorithm
to identify cliques of actors in a network. Applications include identifying
cliques of teachers in high schools, cliques of students in a single grade of
high school, and subgroups of schools which exchange many students.
Chair: Anthony Bryk
Committee: Charles Bidwell, Benjamin Wright, Kazuo Yamaguchi, Dan Lortie and Bob Dreeben
1986-1988 University of Michigan School of Education, program in Higher and
Adult Continuing Education,. Masters of Arts.
1981-1985 University of Michigan.
Major in Statistics and English, Bachelor of Arts.
For breakdown by research strand see: https://www.msu.edu/~kenfrank/research.htm
Dr. Ken Frank
Room 462 Erickson Hall
Michigan State University