RESUMEN
El concepto de operación motivadora (OM) ayuda a suplir los problemas de la noción tradicional de motivación en el estudio del proceso terapéutico. En este trabajo, se analizó el rol de tres tipos de verbalizaciones del terapeuta con una función de OM y se comprobó su relación con el comportamiento verbal de los clientes. Para tal propósito, se observaron grabaciones de 40 sesiones de terapia pertenecientes a 9 casos diferentes. El Sistema ACOVEO fue el sistema de categorías empleado para identificar las categorías OM con información clínica, OM con consecuencias y OM con emparejamiento. El SISC-CVC fue aquel utilizado para identificar las verbalizaciones de las clientes codificadas como Acuerdo y Desacuerdo. Se llevaron a cabo análisis secuenciales para comprobar la relación entre las diferentes OMs entre ellas y con el acuerdo del cliente. Los resultados mostraron que las diferentes OMs fueron emitidas en bloque y que cuando la categoría OM con información clínica se emitía con OM con consecuencias o con OM con emparejamiento se encontraba una mayor asociación con la categoría de Acuerdo (r = 2.47; r = 1.86) que con la de Desacuerdo (r = -.53; r = -.36). Estos resultados destacan la importancia de la emisión de OMs que asocian de manera directa el comportamiento del cliente con eventos con un componente elicitador, ofreciendo estrategias más eficaces para los terapeutas.(AU)
The concept of motivating operation(MO) helps to overcome both theoretical and practical problems of the traditional notion of motivation in the study of the therapeutic process. In this research, the role of three types of therapists verbalizations with an MO functionwas analyzed, in addition to their association with clients verbal behavior. For this purpose, recordings of 40 clinical sessions belonging to 9 different cases were ob-served. The ACOVEO System was the observational category system used to identify the therapists verbal MOs coded as MO with clinical information, MO with consequences, andMO with pairings. The SISC-CVC was the one used to identify clients verbalizations coded as Agreementand Disagreement. Se-quential analyses were performed to test the relation between the three dif-ferent types of MOs with themselves, as well as with clients concurrence. Results showed that the different MOs were emitted in chunks and when MO with clinical information was uttered either with MO with consequences or MO with pairingsthere was a greater association with Agreement(r = 2.47; r = 1.86) rather than with Disagreement (r = -.53;r = -.36). These findings high-light the importance of the emission of MOs that associate directly events with an eliciting component with clients behavior, giving more efficacious strategies to the therapists.(AU)
Asunto(s)
Humanos , Motivación , Terapéutica , Conductas Terapéuticas Homeopáticas , ConductaRESUMEN
Recent developments in pattern analysis research have made this methodology suitable for the study of the processes that are set in motion in psychological interventions. Outcome research, based on the comparison between clinical results from treatment and control groups, has leveraged our empirical knowledge about the efficacy of psychological interventions. However, these methods of research are not precise enough for the analysis of these processes. On the contrary, pattern analysis could be a powerful tool to study moment-to-moment interactions typical of psychological interventions. This is methodology is relevant because clinical psychology is experiencing a paradigm shift from a protocol for syndrome perspective to a principle-based and person-centered intervention. This evidence-based, theory-grounded, and process-oriented paradigm of clinical intervention needs new research methods to thrive (i.e., pattern analysis). The analysis of the therapeutic relationship built into the verbal interaction between the clinician and the client is one of the cornerstones of this new era of research. So, the purpose of this article is three-fold: (1) to discuss the role of the verbal interaction pattern analysis in the clinical context to the development of the principle-based clinical psychology, (2) to analyze the patterns of verbal interaction in a clinical case, and (3) to compare the results using two different methods. To reach these purposes, using the observational methodology, we have coded the verbal interaction of 16 clinical sessions with a person diagnosed with a borderline personality disorder. We have analyzed the data using sequential analysis (GSEQ) and pattern recognition algorithms (i.e., T-Pattern detection). We have been able to detect typical patterns during different phases of psychological intervention (i.e., evaluation, explanation, treatment, and consolidation). Finally, the conceptual, methodological, and empirical implications of this study will be discussed within the realms of pattern analysis research and principle-based clinical psychology.
