Methodology of Psychological Content Analysis



Type of instruction




Part of degree program


Recommended in

Semester 1-4

Typically offered in

Autumn/Spring semester

Course description

Theory of psychological content analysis:

Conceptual basics and historical development of content analysis. Qualitative and quantitative content analysis as a tool for identification of manifest and latent data, demonstrated with classic examples. Basics of corpus linguistics.

Practice of psychological content analysis:
Principles of language technological methods of psychological content analysis (word frequency analysis, graph-based search algorithms, local grammars). Methods and results of using most up-to-date corpus linguistic developments in psychological research and diagnostics.

Psychological content analysis software:

  • Word frequency based software (LIWC – Linguistic Inquiry Word Count, J.W. Pennebaker, et al.);
  • Thematic software (ATLAS.ti, Th. Muhr, et al.);
  • Corpus linguistic (graph based) software: NooJ): M. Silberztein, et al.
  • Ehmann B (2002). A szöveg mélyén. Pszichológiai tartalomelemzés. Budapest, Új Mandátum.
  • Krippendorff K (2004). Content Analysis. An Introduction to its Methodology. SAGE, Thousand Oaks.
  • Neuendorf K. (2002). The Content Analysis Guidebook. SAGE, Thousand Oaks. p. 301.
  • Pennebaker, J. W. (2011). The secret life of pronouns: What our words say about us. New York: Bloomsbury Press.
  • Smith Ch P (Ed.) (2002). Motivation and Personality. Handbook of Thematic Content Analysis. Cambridge University Press, Cambridge.