According to the National Science Foundation, "His best known substantive research is on the measurement, determinants, and consequences of liberal democracy in nations. The research revealed conservative and liberal biases in democracy measures and provided new measures that minimized the bias. He and colleagues delivered the first empirical estimates of the effects of British colonial history, world system position, and religious traditions on democracy."[3] The National Science Foundation has Bollen on its Advisory Committee for Social, Behavioral & Economic Sciences.[4]
Education and career
Bollen studied sociology and mathematics at Drew University, where he graduated in 1973 with a B.A. He attended graduate school at Brown University, obtaining an M.A. and a Ph.D. in sociology in 1975 and in 1978, respectively. From 1978 to 1982, he was a research scientist at the Social Analysis Department at General Motors Research Laboratories. He joined Dartmouth College as an assistant professor of sociology in 1982 and remained there until 1985, when he moved to University of North Carolina at Chapel Hill and became an associate professor. In 1989, he became a full professor of sociology.[2]
In 2011, he was an Elected Fellow of the American Statistical Association.[3] For the period 2010–2012, he was Elected Chair, Chair, Past Chair of the Section on Social, Economic, and Political Sciences of the American Association for the Advancement of Science (AAAS).[3] In 2008, he was and Elected Fellow of the American Association for the Advancement of Science.[3]
In 2002, he was added to the ISI Highly Cited database of "highly cited researchers" in the Social Sciences category[3] as well as being recognized by a Reuters list.[6]
Bollen, Kenneth A.; Curran, Patrick J. (2006). Latent curve models: a structural equation perspective. Wiley series in probability and statistics. Hoboken, N.J: Wiley-Interscience. ISBN978-0-471-45592-9.
Bollen, Kenneth A. (2026). Elements of structural equation models (SEMs). Cambridge, United Kingdom; New York, NY: Cambridge University Press. ISBN978-1-009-31282-0.