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 spread of the COVID-19 pandemic has been a sudden, disruptive event that has strained international and local response capacity and distressed local populations. Different studies have focused on potential psychological distress resulting from the rupture of consolidated habits and routines related to the lockdown measures. Nevertheless, the subjective experience of individuals and the variations in the way of interpreting the lockdown measures remain substantially unexplored. Within the frame of Semiotic Cultural Psychosocial Theory, the study pursued two main goals: first, to explore the symbolic universes (SUs) through which Italian people represented the pandemic crisis and its meaning in their life; and second, to examine how the interpretation of the crisis varies over societal segments with different sociodemographic characteristics and specific life challenges. An online survey was available during the Italian lockdown. Respondents were asked to write a passage about the meaning of living in the time of COVID-19. A total of 1,393 questionnaires (mean = 35.47; standard deviation = 14.92; women: 64.8%; North Italy: 33%; Center Italy: 27%; South Italy: 40%) were collected. The Automated Method for Content Analysis procedure was applied to the collected texts to detect the factorial dimensions underpinning (dis)similarities in the respondents’ discourses. Such factors were interpreted as the markers of latent dimensions of meanings defining the SUs active in the sample. A set of χ² analysis allowed exploring the association between SUs and respondents’ characteristics. Four SUs were identified, labeled “Reconsider social priorities,” “Reconsider personal priorities,” “Live with emergency,” and “Surviving a war,” characterized by the pertinentization of two extremely basic issues: what the pandemic consists of (health emergency versus turning point) and its extent and impact (daily life vs. world scenario). Significant associations were found between SUs and all the respondents’ characteristics considered (sex, age, job status, job situation during lockdown, and place of living). The findings will be discussed in light of the role of the media and institutional scenario and psychosocial conditions in mediating the representation of the pandemic and in favoring or constraining the availability of symbolic resources underpinning people’s capability to address the crisis.

This work presents a dialogic model of psychotherapy (the Two-Stage Semiotic Model, TSSM) with discourse flow analysis (DFA) and a low-inferential method of analysis based on it. TSSM claims that in good-outcome psychotherapy, the patient's system of meanings follows a U-shaped trend: First, it decreases, and then the dialog promotes new meanings. DFA represents a session's dialog as a “discourse network” made by the associations for temporal adjacency between contents; then it studies the network's dynamic properties. DFA has been applied to the textual corpus obtained from the verbatim transcript of a 15-session psychotherapy course. Findings are consistent with the hypotheses.

Background: Defensive functioning is related to overall mental functioning and personality traits in adults but only few studies investigated the role of defenses in adolescence. The present study analyzed the use of defense mechanisms in clinical adolescents to test how defensive functioning is related to age, gender, and personality traits.Design: 102 self-referred outpatients were interviewed using the Clinical Diagnostic Interview (CDI). Defense mechanisms and personality profile were assessed using the Defense Mechanisms Rating Scale (DMRS) and the Shedler-Westen Assessment Procedure-200 for Adolescence (SWAP-200-A) respectively.Findings: Multivariate analysis of variance showed significant age and gender differences in clinical adolescents; while younger teenagers used more immature defenses, older adolescents scored significantly higher in high-neurotic and mature defenses. Girls showed higher use of minor image distortion and neurotic defenses, whereas boys recurred more frequently to obsessional level defenses. Neither age nor gender differences were found for narcissistic defense level. Significant correlations between personality disorders and specific defenses were found for all personalities with sufficient base rate, with the exception of paranoid, schizotypal, and schizoid personalities.Conclusions: In line with previous studies we confirmed the hypothesis of an ontogenetic line of development of defense mechanisms. In addition, the present study found that age and gender differences in adolescence are related to the use of specific defenses that contribute to the development of the personality and various psychological capacities. Several clinical implications are linked to the systematic investigation of defense mechanisms in youth, although further studies are required to confirm these findings.

Objective: The aim of the study is to validate the ability of ACASM (Automated Co-occurrence Analysis for Semantic Mapping) to provide a representation of the content of the therapeutic exchange that is useful for clinical analysis. Method: We compared the clinical case analyses of a good outcome psychodynamic therapy performed by a group of clinicians (n = 5) based on the verbatim transcripts (transcript-based analysis) with the clinical case analyses performed by another group of clinicians (n = 5) based on the ACASM representation of the same sessions (ACASM-based analysis). Comparison concerned two levels: the descriptive level and the interpretative level of the clinical case analysis. Results: Findings showed that, inconsistently with our hypothesis, ACASM-based descriptions of the case obtained worse evaluations than transcript-based descriptions of the case (on all 3 criteria adopted). On the contrary, consistently with our hypothesis, ACASM is undistinguishable from the verbatim transcripts as regards the case interpretation (on 2 out of 3 criteria adopted). Conclusions: ACASM provides a description of the case that, though different from the one provided by the transcripts, enables clinicians to elaborate clinical interpretations of the case which approximate those produced by clinicians working directly on verbatim transcripts.

The present study focused on demographic and personality differences in the use of 30 defense mechanisms in adolescents with personality psychopathology and explored the hierarchical organization of personality traits based on the adaptiveness of defensive functioning. A total of 102 self-referred adolescent outpatients were interviewed and assessed on defense mechanisms and personality traits using the Defense Mechanisms Rating Scales and the Shedler-Westen Assessment Procedure 200 for Adolescents, respectively. Age and gender differences were found throughout the hierarchy. Pearson's correlations revealed a hierarchical organization of emerging personality disorders (PDs) in adolescence. More adaptive defenses were clearly associated with healthier personality style, whereas more pathological personality styles such as those with borderline traits were characterized by more rigid and maladaptive defenses. Dissociation was also associated with maladaptive personality types. Identifying the defenses associated with emerging personality disorders may inform the unconscious function of defense mechanisms in specific PDs. The systematic assessment of defense mechanisms might also help therapists to monitor changes during treatment.