J 2021

Psychometric properties of Czech versions of Academic and Social Selection, Optimization and Compensation Questionnaires

MILLOVÁ, Katarína and Tatiana MALATINCOVÁ

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

Language

English

Type of outcome

Článek v odborném periodiku

Field of Study

50101 Psychology

Country of publisher

Slovakia

Confidentiality degree

není předmětem státního či obchodního tajemství

References:

Impact factor

Impact factor: 0.953

RIV identification code

RIV/00216224:14110/21:00123909

Organization unit

Faculty of Medicine

DOI

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

Tags

International impact, Reviewed
Změněno: 17/5/2022 12:58, Mgr. Tereza Miškechová

Abstract

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.