Features of Measuring the Subjective Quality of Life in Different Diagnostic Approaches



In this paper, the measurements of the subjective quality of life were correlated in different diagnostic approaches, for which the correspondence of the subjective quality of life was measured by means of the SQL scale methodology (Savchenko, Golovina, 2007) and the SCLL questionnaire (Eksakusto, Zaichenko, 2012). The study of the correlation of concepts and scales of two methods having a common theoretical basis, but a different kind of presentation of the points of the techniques, is carried out. It turned out that the similarly or identically named scales and concepts (values) in the two questionnaires significantly correlated. A comparison of the reconstructed factor structures showed the correspondence between the factors of the SQL and the SQL. Both methods allowed to speak about the factor of “emotional and physical health”, the cognitive factor or the factor of “personal growth” and the factor of “famely”, which indicates the compliance of measuring the subjective quality of life and satisfaction with it in both methods, and accordingly, the possibility of using a compact questionnaire as a valid instrument.

General Information

Keywords: subjective quality of life, meaning of life, life values, value orientations, life satisfaction

Journal rubric: Social Psychology

Article type: scientific article

DOI: https://doi.org/10.17759/exppsy.2020130313

Funding. The work was carried out in accordance with the State assighment of Ministry of science and Education № 0159-2020-0009.

For citation: Golovina G.M., Savchenko T.N. Features of Measuring the Subjective Quality of Life in Different Diagnostic Approaches. Eksperimental'naâ psihologiâ = Experimental Psychology (Russia), 2020. Vol. 13, no. 3, pp. 169–179. DOI: 10.17759/exppsy.2020130313. (In Russ., аbstr. in Engl.)


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Information About the Authors

Galina M. Golovina, PhD in Psychology, Associate Professor, Institute of psychology of the Russian Academy of Sciences (IPRAN), Moscow, Russia, ORCID: https://orcid.org/0000-0002-2747-1422, e-mail: gala-galarina@mail.ru

Tatyana N. Savchenko, PhD in Psychology, Associate Professor, Leading Researcher, Institute of Psychology of Russian Academy of Sciences, Moscow, Russia, ORCID: https://orcid.org/0000-0002-4301-5590, e-mail: t.n.savchenko@mail.ru



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