2021
Psychometric properties of Czech versions of Academic and Social Selection, Optimization and Compensation Questionnaires
MILLOVÁ, Katarína a Tatiana MALATINCOVÁZákladní údaje
Originální název
Psychometric properties of Czech versions of Academic and Social Selection, Optimization and Compensation Questionnaires
Autoři
MILLOVÁ, Katarína (703 Slovensko, garant) a Tatiana MALATINCOVÁ (703 Slovensko, domácí)
Vydání
Studia psychologica : an international journal of research and theory in psychological sciences, Bratislava, Slovenská akadémia vied, 2021, 0039-3320
Další údaje
Jazyk
angličtina
Typ výsledku
Článek v odborném periodiku
Obor
50101 Psychology
Stát vydavatele
Slovensko
Utajení
není předmětem státního či obchodního tajemství
Impakt faktor
Impact factor: 0.953
Kód RIV
RIV/00216224:14110/21:00123909
Organizační jednotka
Lékařská fakulta
UT WoS
000733419400001
Klíčová slova česky
selekce; optimalizace; kompenzace; model SOC; záměrná seberegulace; seberegulace; chování zaměřené na cíl
Klíčová slova anglicky
selection; optimization; compensation; SOC model; intentional self-regulation; self-regulation; goal-directed behaviour
Příznaky
Mezinárodní význam, Recenzováno
Změněno: 17. 5. 2022 12:58, Mgr. Tereza Miškechová
Anotace
V originále
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.