MILLOVÁ, Katarína and Tatiana MALATINCOVÁ. Psychometric properties of Czech versions of Academic and Social Selection, Optimization and Compensation Questionnaires. Studia psychologica : an international journal of research and theory in psychological sciences. Bratislava: Slovenská akadémia vied, 2021, vol. 63, No 4, p. 369-392. ISSN 0039-3320. Available from: https://dx.doi.org/10.31577/sp.2021.04.834.
Other formats:   BibTeX LaTeX RIS
Basic information
Original name Psychometric properties of Czech versions of Academic and Social Selection, Optimization and Compensation Questionnaires
Authors MILLOVÁ, Katarína (703 Slovakia, guarantor) and Tatiana MALATINCOVÁ (703 Slovakia, belonging to the institution).
Edition Studia psychologica : an international journal of research and theory in psychological sciences, Bratislava, Slovenská akadémia vied, 2021, 0039-3320.
Other information
Original language English
Type of outcome Article in a journal
Field of Study 50101 Psychology
Country of publisher Slovakia
Confidentiality degree is not subject to a state or trade secret
WWW Webová stránka výsledku u vydavatele s odkazem na plný text
Impact factor Impact factor: 0.953
RIV identification code RIV/00216224:14110/21:00123909
Organization unit Faculty of Medicine
Doi http://dx.doi.org/10.31577/sp.2021.04.834
UT WoS 000733419400001
Keywords (in Czech) selekce; optimalizace; kompenzace; model SOC; záměrná seberegulace; seberegulace; chování zaměřené na cíl
Keywords in English selection; optimization; compensation; SOC model; intentional self-regulation; self-regulation; goal-directed behaviour
Tags 14110523, rivok
Tags International impact, Reviewed
Changed by Changed by: Mgr. Tereza Miškechová, učo 341652. Changed: 17/5/2022 12:58.
Abstract
The study deals with the psychometric characteristics of the Czech versions of Academic and Social Selection, Optimization and Compensation (SOC) questionnaires. Self-report data were collected in a sample of 618 university students aged between 19 and 30 years. McDonald’s omega coefficient was used for reliability estimation; construct validity was tested by confirmatory factor analysis and principal component analysis. Criterion validity was tested in a series of regression analyses. The instruments showed adequate reliability, ranging from 0.73 to 0.84 for Academic SOC and from 0.70 to 0.79 for Social SOC scales. Confirmatory factor analysis did not corroborate the original model proposed by Geldhof et al. (2012), except for the Loss-Based Selection factor. Post-hoc exploratory principal component analysis further supported these results. It turned out that the items were clustered according to different criteria compared to the original dimensions. Our results are in line with more recent findings, pointing to differences in the structure and employment of SOC strategies in young and older adults. We recommend that the Academic and Social SOC are revised in accordance with these recent findings and other methodological considerations.
PrintDisplayed: 22/7/2024 14:18