B. 1969. Dr. polit. I haven been working at the Department of Information Science and Media Studies, University of Bergen since 2009, from 2016 as full professor.

From 2000-2010 I held a variety of posts at the Department of Media and Journalism, Volda University College, including assistant professor, doktor stipendiate and post.doc. From fall 2011 to summer 2012 I also held the post of associate professor (20%) at the Department of Musicology at the University of Oslo.

Research interests: Social research methodology (in particular survey methodology and multivariate categorical data analysis), the sociology of Pierre Bourdieu and classical European sociology/anthropology, empirical studies of social fields and social spaces, cultural sociology , the sociology of professions (in particular the journalistic profession) and the sociology of education.

My doctoral thesis, Profane and Sacred (2009) is a study of the Norwegian Journalistic Field.

I have been a peer reviewer for Communication Theory, Continium, International Journal of Arts Management, Journalism, Journalism Practice, Journalism Studies, Mediekultur (Media Culture), Nordic Journal of Cultural Policy, Nordic Journal of Second Language Research, Norsk Medietidsskrift (Norwegian Journal of Media Research), Nordicom Review, Poetics, Sociological Compass, Sosiologisk tidsskrift (Norwegian Journal of Sociology) and Tidsskrift for Samfunnsforsking (Norwegian Journal of Social Research).

Mail: Jan Fredrik Hovden, Department of Information Science and Media Studies, PO box 7802, N-5020 Bergen, Norway

E-mail: jan.hovden@uib.no

Phone : +4748003395 (mobile)

Chat/video clients:
Facetime: jan.hovden@uib.no
Skype: janfredrikhovden

Recent Posts

Multiple correspondence analysis with Stata

Stata has commands for both simple (CA) and multiple correspondence analysis (MCA), which I believe are based on Michael Greenacre´s code for the R package. At first, coming from specialized programs like SPAD, the commands in Stata for doing MCA appear very rudimentary, but because of the versality of Stata there is not very difficult … Continue reading Multiple correspondence analysis with Stata

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