Naslov
Latent change variable models: Applications in personality and emotional intelligence research

Autori
Buško, Vesna

Vrsta, podvrsta i kategorija rada
Sažeci sa skupova, sažetak, znanstveni

Izvornik
Book of Abstracts of the ISCCRO – International Statistical Conference in Croatia / Dumičić, Ksenija ; Erjavec, Nataša ; Pejić Bach, Mirjana - Zagreb : Hrvatsko statističko društvo, 2016, 71-71

Skup
The 1st International Statistical Conference in Croatia ISCCRO’16

Mjesto i datum
Zagreb, Hrvatska, 05.05.2016. - 06.05.2016

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
latent change models, psychological research, structural equation modeling

Sažetak
The paper presents a class of structural equation models intended for the study of inter- and intraindividual variations in measures of more of less stable psychological attributes. The particular modeling procedures are based on the latent state-trait theory (LST ; Steyer et al., 1992, 1999 ; Deinzer et al., 1995), developed as an extension of the classical psychometric test theory with a key notion that the measurement of any psychological attribute is shaped not only by stable individual or trait component but also by systematic albeit unstable situation-related influences. Following the assumptions of the LST theory, Steyer et al. (2004) introduced the specific structural equation models where the true intraindividual change scores between successive occasions of measurement correspond to the values of endogenous latent variables. Various substantive hypotheses on the correlates and predictors of true change between the measurements can further be tested by such a model specification. The presentation will include a demonstration of the true change modeling methodology applied to the study of intraindividual variations in measures of emotional intelligence (EI) and perceived self- competence domains in samples of preadolescents on three and four occasions, within a two year period. The models of LST theory were specified to include the latent variables corresponding to the state variability in EI as well as the trait change in self-competence scores. The tested structural equation models and the parameters obtained point to different patterns of relationships of latent state and latent change measures with particular antecedent and achievement variables.

Izvorni jezik
Engleski

Znanstvena područja
Psihologija

POVEZANOST RADA