Application of latent variable model in Rosenberg self-esteem scale.
Latent Variable Models (LVM) are applied to Rosenberg Self-Esteem Scale (RSES). Parameter estimations automatically give negative signs hence no recoding is necessary for negatively scored items. Bad items can be located through parameter estimate, item characteristic curves and other measures. Two factors are extracted with one on self-esteem and the other on the degree to take moderate views, with the later not often being covered in previous studies. A goodness-of-fit measure based on two-way margins is used but more works are needed. Results show that scaling provided by models with more formal statistical ground correlated highly with conventional method, which may provide justification for usual practice.
Centre for Continuing Education University of Macau, Taipa Macau, China, soleung@umac.mo.
Shing-On
SO
Leung
Hui-Ping
HP
Wu
D000293:Adolescent; D000465:Algorithms; D002648:Child; D003625:Data Collection; D003627:Data Interpretation, Statistical; D005260:Female; D006723:Hong Kong / Q000453:epidemiology; D006801:Humans; D008297:Male; D015233:Models, Statistical; D011594:Psychometrics; D015203:Reproducibility of Results; D012649:Self Concept; D012680:Sensitivity and Specificity; D011795:Surveys and Questionnaires