THE IMPORTANCE OF SPECIFICATION IN CAUSAL-MODELING - THE CASE OF END-USER COMPUTING SATISFACTION

• 成果类型: Article
• 署名作者: CHIN, WW; NEWSTED, PR
• 刊物名称: INFORMATION SYSTEMS RESEARCH
• ISSN/ISSBN: 1047-7047
• DOI: 10.1287/isre.6.1.73
• 发表日期: 1995
• 页码: 73-81
• 关键词: STRUCTURAL EQUATION MODELS; of-fit indexes; sample-size; GOODNESS

摘要

In a survey of IS instruments spanning the years 1973 to 1988 (Zmud and Boynton 1991), Doll and Torkzadeh's(l988) 12-item End-User Computing Satisfaction instrument was reported as one of three IS instruments that met conditions to qualify as ''well developed.'' Recently, Etezadi-Amoli and Farhoomand (1991) questioned the validity of these measures. Part of their critique centered on the poor model fit obtained in a re-analysis using LISREL. While other potentially valid points were raised by Etezadi-Amoli and Farhoomand's critique, this report focuses only on their use of confirmatory factor analysis. In our re-analyses of Doll and Torkzadeh's original covariance measures, we show how model fit is extremely dependent on model specification. While still maintaining the same number of constructs and respective measures, we demonstrate how two alternatives to the original model analyzed by Etezadi-Amoli and Farhoomand can result in models with acceptable fits.