SUBJECT
Title
Methodology of Psychological Content Analysis
Code
DPSY16-QLR-103
Type of instruction
practice
Level
Doctoral
Part of degree program
Credits
7
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.
Readings
- 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.