Factorial invariance in a repeated measures design: an application to the study of person-organization fit.
An important methodological concern of any research based on a person-environment (P-E) fit approach is the operationalization of the fit, which imposes some measurement requirements that are rarely empirically tested with statistical methods. Among them, the assessment of the P and E components along commensurate dimensions is possibly the most cited one. This paper proposes to test the equivalence across the P and E measures by analyzing the measurement invariance of a multi-group confirmatory factor analysis model. From a methodological point of view, the distinct aspect of this approach within the context of P-E fit research is that measurement invariance is assessed in a repeated measures design. An example illustrating the procedure in a person-organization (P-O) fit dataset is provided. Measurement invariance was tested at five different hierarchical levels: (1) configural, (2) first-order factor loadings, (3) second-order factor loadings, (4) residual variances of observed variables, and (5) disturbances of first-order factors. The results supported the measurement invariance across the P and O measures at the third level. The implications of these findings for P-E fit studies are discussed.
Ximénez
Carmen
C
Universidad Autonoma de Madrid, Departamento de Psicologia Social y Metodologia, Cantoblanco s/n. 28049 Madrid, Spain. carmen.ximenez@uam.es
Revuelta
Javier
J
D000124:Achievement; D000223:Adaptation, Psychological; D000328:Adult; D005260:Female; D006801:Humans; D007588:Job Satisfaction; D008297:Male; D008960:Models, Psychological; D015279:Organizational Culture; D009937:Organizational Objectives; D026684:Personal Autonomy; D010555:Personality Inventory / Q000706:statistics & numerical data*; D011594:Psychometrics / Q000706:statistics & numerical data; D015203:Reproducibility of Results; D012449:Safety; D012931:Social Environment; D013030:Spain