title: Automated method of content analysis: a device for psychotherapy process research.
abstract: The work presents a computer-aided method of content analysis applicable to verbatim transcripts of psychotherapy: the Automated Co-occurrence Analysis for Semantic Mapping (ACASM). ACASM is able to perform a context-sensitive strategy of analysis aimed at mapping the meanings of the text through a trans-theoretical procedure. The paper is devoted to the presentation of the method and testing its validity. To the latter end we have compared ACASM and independent blind human coders on two tasks of content analysis: (a) estimating the semantic similarity between two utterances; (b) the semantic classification of a set of utterances. Results highlight that: (a) ACASM's estimates of semantic similarity are consistent with the corresponding estimates provided by coders; (b) coders' agreement and coder-ACASM agreement on the task of semantic classification have the same magnitude. Results lead to the conclusion that the content analysis produced by ACASM is indistinguishable from that performed by human coders.
authors.affiliation: Department of Pedagogy, Psychology, and Teaching Science, University of Salento, Lecce, Italy.
authors.forename: Sergio
authors.initials: S
authors.lastname: Salvatore
authors.forename: Alessandro
authors.initials: A
authors.lastname: Gennaro
authors.forename: Andrea Francesco
authors.initials: AF
authors.lastname: Auletta
authors.forename: Marco
authors.initials: M
authors.lastname: Tonti
authors.forename: Mariangela
authors.initials: M
authors.lastname: Nitti
mesh_terms: D000465:Algorithms; D001331:Automation; D003205:Computing Methodologies; D003625:Data Collection / Q000379:methods; D006801:Humans; D008499:Medical Records; D033262:Narration; D013811:Psychotherapeutic Processes; D015203:Reproducibility of Results; D012106:Research / Q000639:trends; D012660:Semantics