Issue |
SHS Web Conf.
Volume 70, 2019
Trends in the Development of Psycho-Pedagogical Education in the Conditions of Transitional Society (ICTDPP-2019)
|
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Article Number | 09003 | |
Number of page(s) | 6 | |
Section | Psychophysiology and clinical psychology: theory and practice | |
DOI | https://doi.org/10.1051/shsconf/20197009003 | |
Published online | 22 November 2019 |
Diagnostic possibilities of a method of content analysis for therapy of women exhibiting codependency
1
Southern Federal University, Academy of Psychology and Pedagogy, 344000 Rostov-on-Don, Russian Federation
2
Rostov State Medical University, 344022 Rostov-on-Don, Russian Federation
3
Don State Technical University, Faculty “Psychology, Pedagogy and Defectology”, 344000 Rostov-on-Don, Russian Federation
* Corresponding author: paver@sfedu.ru
The article presents the results of a comprehensive study of psychological characteristics of the manifestation of co-dependent behavior of women. The novelty of the study lies in the development of psychodiagnostics criteria for identifying co-dependent behavior using the content analysis method, using the Thematic Apperceptive Test (TAT) tables with the aim of further developing a set of therapeutic measures. The study involved 152 women from the Rostov region of the Russian Federation aged 17 to 30 years, exhibiting varying degrees of codependence and living with a drug-dependent partner for at least 5 years. The study was carried out using standardized psychological tests and projective methods, which made it possible to identify the degree of manifestation of co-dependent behavior: test “The scale of co-dependence in relations (Spann Fisher)” (adaptation Moskalenko); “Write a story” technique (stimulus material of tables 2, 4 and 6 of TAT. It has been established that content analysis allows us to determine qualitative differences in the degree of manifestation of co-dependent behavior, which we can identify and use in the initial stage of therapy with a co-dependent client, which means that it allows not only to quickly identify the condition, but also to determine its intensity.
© The Authors, published by EDP Sciences, 2019
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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