Yazar "Andreassi, Silvia" seçeneğine göre listele

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    Monitoring Nonlinear Dynamics of Change in a Single Case of Psychodynamic Play Therapy
    (Soc Chaos Theory Psychology & Life Sciences, 2019) Halfon, Sibel; Cavdar, Alev; Paoloni, Giulia; Andreassi, Silvia; Giuliani, Alessandro; Orsucci, Franco F.; de Felice, Giulio
    A systematic single case study with a mixed quantitative and qualitative methodology was conducted to investigate the nonlinear dynamics of change in play profiles of a child in psychodynamic play therapy. The first aim of the study was to cluster the different features of play characteristics (i.e., descriptive, cognitive, affective, and social characteristics of play, and the defensive strategies used in play) in order to construct the different play profiles of this child, and secondly to assess the transitions between profiles over the course of treatment. It was expected that there would be an increase in critical fluctuations during the transitions between the profiles and an increase in the variability of play profiles. Results showed that the child's play characteristics clustered into eight states and three attractors. The Markov Transition Matrix showed how play profiles evolved over time. Entropy analyses comparing the first and the second half of therapy showed an increase in variability. Qualitative analyses indicated the importance of expression of the child's underlying fear, and its integration with overt anger in the generation of the new play profiles. The results indicate an increase in variability, and a destabilization of old play profiles that were used towards generating new play profiles.
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    The misleading Dodo Bird verdict. How much of the outcome variance is explained by common and specific factors?
    (Pergamon-Elsevier Science Ltd, 2019) de Felice, Giulio; Giuliani, Alessandro; Halfon, Sibel; Andreassi, Silvia; Paoloni, Giulia; Orsucci, Franco F.
    The literature on psychotherapy research makes use of the so-called Dodo Bird Verdict to show that therapeutic change owes more to common factors than to specific techniques. According to the bulk of the empirical literature, common factors explain 30-70% of therapy outcome variance, while specific factors account for between 5% and 15%. This formulation is based on the assumption that common and specific factors are independent of each other. The present study uses a systematic review of the literature to empirically demonstrate that common and specific factors of change are actually correlated. In other words, the prevalent practice in the literature of using correlated common and specific factors as independent predictors in classical ANOVA models is both statistically unsound and conceptually distorted. We offer several alternative proposals for a sensible re-evaluation of the Dodo Bird verdict.