Abstract

Following detailed presentation of the Core Conflictual Relationship Theme (CCRT), there is the objective of relevant methods for what has been described as verbalization and visualization of data. Such is also termed data mining and text mining, and knowledge discovery in data. The Correspondence Analysis methodology, also termed Geometric Data Analysis, is shown in a case study to be comprehensive and revealing. Quite innovative here is how the analysis process is structured. For both illustrative and revealing aspects of the case study here, relatively extensive dream reports are used. The dream reports are from an open source repository of dream reports, and the current study proposes a possible framework for the analysis of dream report narratives, and further, how such an analysis could be relevant within the psychotherapeutic context. This Geometric Data Analysis here confirms the validity of CCRT method.

Highlights

  • The CCRT method, i.e., the Core Conflictual Relationship Theme method, is based on the text analysis of the single narratives coming from an analytical setting

  • The Core Conflictual Relationship Theme is quite essential in psychotherapy

  • The related themes involved in these interpersonal relationships have been ascertained to be almost universal and commonly shared among all humans, and this is conferring objectivity to the attempts to identify them for instance either qualitatively via CCRT method and quantitatively via Geometric Data Analysis, as just we have done in this work

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Summary

Introduction

The CCRT method, i.e., the Core Conflictual Relationship Theme method, is based on the text analysis of the single narratives coming from an analytical setting. The Core Conflictual Relationship Theme is quite essential in psychotherapy. In Aylward (2012), terrible social violence is described and related to the perpetrator’s youth and other relations and behaviours arising from that. Murtagh and Iurato (2016) relate behaviours, self-development and socialization, with therapy. The related themes involved in these interpersonal relationships have been ascertained to be almost universal and commonly shared among all humans, and this is conferring objectivity to the attempts to identify them for instance either qualitatively via CCRT method and quantitatively via Geometric Data Analysis, as just we have done in this work. A similar methodology has been already performed in Murtagh and Iurato (2017)

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