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Strategies of self-presentation in author’s texts of professionals with different professional backgrounds

Strategies of self-presentation in author’s texts of professionals with different professional backgrounds

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Recieved: 08/30/2022

Accepted: 10/17/2022

Published: 12/30/2022

Keywords: psychosemantics; methods of personnel assessment; professional experience; content analysis; author’s texts

p.: 42–52

DOI: 10.11621/npj.2022.0405

Available online: 30.12.2022

To cite this article:

Abdullaeva, M.M. . Strategies of self-presentation in author’s texts of professionals with different professional backgrounds. // National Psychological Journal 2022. 4. p.42–52. doi: 10.11621/npj.2022.0405

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Issue 4, 2022

Abdullaeva, M.M. Lomonosov Moscow State University

Abstract

Background. The article is devoted to the features of self-presentation, expressed in the author’s texts, considered in the context of evaluation of professionals. Referring to the group of methods based on the “personality-text” relation is conditioned by the change in management paradigms and importance of employee’s creative potential as well as independence in modern economic conditions. 

Objective. The aim of this study was to determine the features of self-presentation of specialists with different professional experience by analyzing the texts through the selection of formal and substantive attributions that reflect the individual characteristics of the author. We assumed that the texts created by specialists of different age, gender, job level will differ in terms of formal and content-related criteria, explicit and underlying semantic structures. 

Sample. The sample consisted of 83 employees of a manufacturing company. 

Methods. The participants were asked to give seven self-descriptions, answering the question “Who am I?” and to continue 10 unfinished sentences on the topic “My profession”. The resulting texts were subjected to a content analysis procedure based on the statistical processing of the selected categories (relative frequencies, correlations and significant differences between them). 

Results. The results obtained made it possible to single out two strategies for writing texts on the same topic, which reveal the author’s experience: “detached, passive” and “included, active”. These strategies are tracked both at the level of explicit, formal characteristics of the text and at the level of deep semantic structures — semantic roles and metaprograms. Psychosemantic correlates of experience are indicators of emotional valence (positive, negative, neutral) and indicators of the frequency of adjectives, nouns and verbs in the text. 

Conclusion. These data demonstrate the diagnostic capabilities of psychosemantic methods in assessing the individual characteristics of employees when it is impossible to calculate the social desirability of answers, as well as in obtaining important information for building correct communications with them.


References

Abdullaeva, M.M. (2005). Semantic characteristics of the text and features of professional work. Vestnik Moskovskogo universiteta. Seriya 14. Psikhologiya (Moscow University Psychology Bulletin), 14 (4), 25–36. (In Russ.). 

Abdullaeva, M.M., Zakharova, A.I. (2018). Possibilities of psychosemantic methods in the assessment of employees of a modern industrial organization. In A.N. Zankovskii, A.L. Zhuravlev (Eds.), The current state and prospects for the development of work psychology and organizational psychology (pp. 820–833). Moscow: Izd-vo “Institut Psikhologii RAN”. (In Russ.). 

Artem’eva, E.Yu. (1999). Psychology of subjective semantics. M.: Nauka, Smysl. (In Russ.). 

Artem’eva, E.Yu., Strelkov, Yu.K., Serkin, V.P. (1991). Structures of subjective experience: semantic layer and others. In Thinking and the subjective world (pp. 14–19). Yaroslavl: Izd-vo Yaroslavskogo universiteta. (In Russ.). 

Babenko, L.G., Kazarin, Yu.V. (2019). Linguistic analysis of the text. M.: Yurayt. (In Russ.). 

Baden, C., Kligler-Vilenchik, N., Yarchi, M. (2020). Hybrid content analysis: Toward a strategy for the theory-driven, computer-assisted classification of large text corpora. Communication Methods and Measures, 14 (3), 165–183. https://doi.org/10.1080/19312 458.2020.1803247 

Belinskaya, E.P., Gavricheko, O.V. (2018). Self-presentation in the virtual space: phenomenology and patterns. Psikhologicheskiye issledovaniya (Psychological research), 11 (60), 12. (Retrieved from https://psystudy.ru/index.php/num/article/view/269/564). (In Russ.). 

Beme, G., Kalendzhyan, S.O. (2007). Delegation of powers and responsibilities. Effective management system. M.: Delo. (In Russ.). 

Blinnikova, I.V., Ishmuratova, Yu.A., Leonova, A.B. (2018). Instrumental method for assessing the competence of specialists who solve visual problems. Mir psikhologii (World of Psychology), 4, 130–140. (In Russ.). 

Boukes, M., van de Velde, B., Araujo, T., Vliegenthart, R. (2020). What’s the tone? Easy doesn’t do it: Analyzing performance and agreement between off-the-shelf sentiment analysis tools. Communication Methods and Measures, 14 (2), 83–104. https://doi.org /10.1080/19312458.2019.1671966 

Bulgakov, A.V. (2019). Semantic analysis as an express method for evaluating risk perceptions in professional activity. Vestnik Moskovskogo Gosudarstvennogo Oblastnogo Universiteta (Bulletin of the Moscow State Regional University), 4, 88–103. https://doi. org/10.18384/2224-0209-2019-4-979 (In Russ.). 

Fillmore, Ch.J. (1968). The Case for Case. In E. Bach, R.T. Harms (Eds.), Universals in Linguistic Theory. London: Holt, Rinehart and Winston. 

Frumkina, R.M. (2003). Psycholinguistics. M.: Akademiya. (In Russ.). 

Ivanova, S.V. (2017). The art of recruiting. How to rate a person in an hour. M.: Al’pina Pablisher. (In Russ.). 

Kharin, Yu.L. (2019). Lie Detector: How it’s done. M.: Prometei. (In Russ.). 

Klimov, E.A. (1998). Introduction to the psychology of work. M.: YuNITI. (In Russ.). 

Krichevskii, M.L., Dmitrieva, S.V., Martynova, Yu.A. (2018). Neural network assessment of personnel competencies. Ekonomika truda (Labor Economics), 5 (4), 1101–1118. doi: 10.18334/et.5.4.39488 (In Russ.). 

Krippendorff, K. (2004). Content analysis: An introduction to its methodology. L.: Sage. 

Kun, M., Makpartlend, T. (2006) Test “Who am I?”. In T. V. Rumyantseva modification. Psychological counseling: diagnostics of relationships in a couple (pp. 82–103). St. Petersburg: Rech’. (In Russ.) 

Lempiälä, T., Yli-Kauhaluoma, S., Näsänen, J. (2018). Similar structures, different interpretations: perceived possibilities for employee-driven innovation in two teams within an industrial organization. International Journal of Entrepreneurship and Innovation Management, 22 (4–5), 362–380. 

Maiorova, E.V. (2020). On sentiment analysis and prospects for its application. Sotsial’nye i gumanitarnye nauki. Otechestvennaya i zarubezhnaya literatura. Ser. 6. Yazykoznanie (Social and humanitarian sciences. Domestic and foreign literature. Series 6. Linguistics), 6, 78–87. (In Russ.). 

Maslova, T.V., Roznina, N.V., Karpova, M.V. (2019). Analysis of the resource and production potential of the organization. Aktual’nye voprosy sovremennoi ekonomiki (Actual issues of modern economics), 5, 39–44. (In Russ.). 

Mitina, O.V., Evdokimenko, A.S. (2010). Methods of text analysis: methodological foundations and software implementation. Vestnik YuUrGU. Seriya “Psikhologiya” (Psychology Bulletin of SUSU), 40 (216), 29–38. (In Russ.). 

Olsson, Dzh. (2018). Word as evidence. Anything you say will be used against you. M.: AST. (In Russ.). 

Pikuleva, O.A. (2019). Psychology of self-presentation of personality. M.: INFRA-M. (In Russ.). 

Podverbnykh, O.E., Samokhvalova, S.M., Tikhonov, A.I. (2018). Professional standards in assessing the personnel of a rocket and space enterprise. Moskovskii ekonomicheskii zhurnal (Moscow economic journal), 4, 31–41. (In Russ.). 

Rumyantseva, T.V. (2006). Psychological counseling. Diagnosis of relationships in a couple. SPb.: Rech’. (In Russ.). 

Tarshis, E.Ya. (2021). Content analysis: principles of methodology. M.: Lenard. (In Russ.). 

Thelwall, M., Buckley, K., Paltoglou, G., Cai, D., Kappas, A. (2010). Sentiment strength detection in short informal text. Journal of the American Society for Information Science and Technology, 61 (12), 2544–2558. https://doi.org/10.1002/asi.21416


To cite this article:

Abdullaeva, M.M. . Strategies of self-presentation in author’s texts of professionals with different professional backgrounds. // National Psychological Journal 2022. 4. p.42–52. doi: 10.11621/npj.2022.0405

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