Congruencies and differences of knowledge networks as representations of complex knowledge
- combine quantitative and qualitative approaches to analyzing knowledge networks
- aim
- how can knowledge network of a test samble be represented, evlauated and statistically assessd by only one knowledge network (modal network) (descriptive)
- how can difference and congruency between all individual entworks and criterion networks be analyed (normative approach)
- combine qualitative and quantitative networks
- modal network - propositions named most frequently and consistently by individual actors
- idiosyncratic - increase reliability
- transform data into lists of propositions, then equivalent form
- person x proposition matrix
- networks which were qualitative data can be analyzed through multivariate analysis
- lets us empirically test if a scale can be constituted, with enough internal consistency - measures degree of coherence of every proposition, assessed by discrimination
