Core Conflictual Relationship
Fionn Murtagh, Giuseppe Iurato
Language and Psychoanalysis April 29, 2019 DOI: 10.7565/landp.v7i2.1585 (opens in new tab) via DOAJ
Summary
AI-generated from the abstractA case study demonstrates that Correspondence Analysis (Geometric Data Analysis) can be applied to dream report narratives to validate the Core Conflictual Relationship Theme (CCRT) method. The analysis uses relatively extensive dream reports from an open-source repository. The authors propose a framework for analyzing dream report narratives and suggest its relevance within psychotherapeutic contexts. The Geometric Data Analysis confirms the validity of the CCRT method for verbalizing and visualizing data, which is also termed data mining and text mining.
Study at a glance
| Characteristics | Case study Case report Peer reviewed |
|---|---|
| Key finding | Proposes that Geometric Data Analysis confirms the validity of the CCRT method for analyzing dream report narratives. |
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.