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.

The authors propose a method for analyzing the psychotherapy process: discourse flow analysis (DFA). DFA is a technique representing the verbal interaction between therapist and patient as a discourse network, aimed at measuring the therapist-patient discourse ability to generate new meanings through time. DFA assumes that the main function of psychotherapy is to produce semiotic novelty. DFA is applied to the verbatim transcript of the psychotherapy. It defines the main meanings active within the therapeutic discourse by means of the combined use of text analysis and statistical techniques. Subsequently, it represents the dynamic interconnections among these meanings in terms of a "discursive network." The dynamic and structural indexes of the discursive network have been shown to provide a valid representation of the patient-therapist communicative flow as well as an estimation of its clinical quality. Finally, a neural network is designed specifically to identify patterns of functioning of the discursive network and to verify the clinical validity of these patterns in terms of their association with specific phases of the psychotherapy process. An application of the DFA to a case of psychotherapy is provided to illustrate the method and the kinds of results it produces.

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The study aimed to show the relevance of two types of sense-making processes (i.e. cognitive and affective) in culture-based interventions. A hierarchical model based on a psychodynamic theoretical framework was tested. According to this model, a generalized affective meaning connoting the whole field of participants' experience would have a regulative, downward, and causal influence on the specific meanings related to the issues addressed by the intervention. Secondary analyses-namely PLS Path Modeling with higher order constructs-were performed on a dataset resulting from a survey involving three hundred and ninety freshmen enrolled in a psychology course at the University of Salento, Italy. These analyses were aimed at detecting the anticipatory images of the University. Our findings provide evidence supporting the theoretical model proposed. Implications for culture-based interventions are discussed.