Structural Equation Modeling in Management Accounting Research: Critical Analysis and Opportunities  

Oleh:

Smith, David ; Langfield-Smith, Kim

Jenis: Article from Journal - ilmiah internasional
Dalam koleksi: Journal of Accounting Literature vol. 2004 no. 23 (2004), page 049-086.
Topik: Public Sector Accounting; PSA; Structural Equation Modeling; SEM
Fulltext: JAL 04 23 049.pdf (2.34MB)

Isi artikel

There are three objectives underlying this paper. The first objective is to demonstrate some advantages that latent variable SEM may offer over the well-established techniques of multiple regression analysis and path analysis to advance the theoretical development of management accounting. The second objective is to undertake a critical review of empirical management accounting papers that utilize SEM, to determine shortcomings, limitations, and opportunities. Recent papers [for example, Hartmann and Moers, 1999] that highlight flaws in the application of regression-based analyses in management accounting, point to the importance of considering methodological shortcomings of SEM. The final objective is to identify ways in which management accounting researchers can use SEM to advance knowledge in the discipline. This paper is structured as follows. In the following section, the advantages that SEM may hold as a statistical method are demonstrated. Some limitations of multiple regression and path analysis that may curb their suitability for many types of management accounting research are considered. This is followed by a review of published management accounting research that utilizes SEM. This survey examines the areas in which some management accounting research has failed to consider key principles relating to the use of SEM. It also examines the type of research problems where SEM has been used. In the final section, conclusions and suggestions for improving the application of SEM in management accounting research are presented, and the potential for SEM to advance the literature in management accounting is assessed.

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