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Cited by 4,577

The DOI matches its OpenAlex record; 4 of the 4 references it cites were found in a registry or an index.

Issues and opinion on structural equation modeling

Wynne W. Chin·1998·Journal of the Association for Information Systems
DOI 10.5555/290231.290235
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Abstract

In the past few years, the IS field has seen a substantial increase in the number of submissions and publications using structural equation modeling (SEM) techniques. Part of the reason may be the increase in software packages to perform such covariance-based (e.g., LISREL, EQS, AMOS, SEPATH, RAMONA, MX, and CALIS) and componentbased (e.g., PLS-PC, PLS-Graph) analysis. Viewed as a coupling of two traditions -an econometric perspective focusing on prediction and a psychometric emphasis that models concepts as latent (unobserved) variables that are indirectly inferred from multiple observed measures (alternately termed as indicators or manifest variables) -SEM has allowed social scientists to perform path analytic modeling with latent variables (Lvs), which in turn has led some to describe this approach as an example of “a second generation of multivariate analysis” (Fornell 1987, p. 408).

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Items 101–140 of 140

Metadata

Authors
Chin, W. W.
Venue
Journal of the Association for Information Systems
Publisher
Association for Information Systems
Published
1998-03-01
Volume
22
Issue
1
Pages
7-16
ISSN
1536-9323 (ISSN-L)
DOI
10.5555/290231.290235
OpenAlex
W2155225996
Cited by
4,577
References
4
FWCI
20.91
Type
journal article
Language
en
Open access
closed

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.