1994．第9卷第1期（Vol. 9 No. 1）．pp. 8792
Structural equation modelling (SEM) has become a very important technique in multivariate analysis. The present article examines the advantages of SEM over traditional analytical methods. Construction of latent variables using single indicator, item pairs/parcels, and uni-factor congeneric factor model are discussed with concrete examples. Furthermore, issues related to skewed ordinal scales, minimum sample size, and choice of goodness of fit indexes are reviewed.