教育研究學報



為何需要結構方程模式及如何建立潛伏變項?

1994.第9卷第1期(Vol. 9 No. 1).pp. 87–92
 

為何需要結構方程模式及如何建立潛伏變項?

侯傑泰(Kit-Tai HAU)

摘要

結構方程(SEM)已成多變量分析的重要技巧,本文檢視SEM較傳統分析優越之處,並討論如何用單指標變項、項目對(或小組)及單同源分子測量模式去建立潛伏變項;此外亦簡略探討偏態序級量表、最少樣本數目及吻合指數等課題。

Abstract

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.