Abstract
A model of electronic brainstorming communication structure is developed and tested. This model integrates and extends the Issue Based Information System (IBIS) and Interactive Process Analysis (IPA) theories. A computer system to store content analytic knowledge was developed. This computer system improves upon existing systems by storing the data and content analysis procedures in a relational database format which allows ad hoc access to relationships between elements in the knowledge base. A computer system was developed to make inferences about statements from electronic brainstorming transcripts (or other textual sources) using the aforementioned content analysis knowledge base. This inference engine outperforms an it predecessor by using a more conservative "forward tagging logic" procedure. The performance of an existing content analysis dictionary for categorizing electronic brainstorming transcript statements into the developed model was evaluated. Two studies were conducted to evaluate the reliability and validity of the results of content analysis on electronic brainstorming transcripts. Content analysis and correspondence analysis were used to determine whether or not statements in electronic brainstorming transcripts could be classified as issues, evaluative statements, restatements, or unrelated comments.
Cheslow, David Andrew (1995). Content analytic classification in electronic brainstorming : a structural model and empirical analysis. Texas A&M University. Texas A&M University. Libraries. Available electronically from
https : / /hdl .handle .net /1969 .1 /DISSERTATIONS -1574325.