SHS Web Conf.
Volume 36, 2017The 2016 4th International Conference on Governance and Accountability (2016 ICGA)
|Number of page(s)||7|
|Published online||24 July 2017|
Partial Least Square Approach to Second Order Factor in Behavioural Study of Accounting Information System
1 Accounting Research Institute, Universiti Teknologi Mara, Malaysia
2 Faculty of Accountancy Universiti Teknologi MARA (Melaka) Malaysia
* Corresponding author’s email: firstname.lastname@example.org
Theories are developed to explain an observed phenomenon in an effort to understand why and how things happen. Theories thus, use latent variables to estimate conceptual parameters. The level of abstraction depends, partly on the complexity of the theoretical model explaining the phenomenon. The conjugation of directly-measured variables leads to a formation of a first-order factor. A combination of theoretical underpinnings supporting an existence of a higher-order components, and statistical evidence pointing to such presence adds advantage for the researchers to investigate a phenomenon both at an aggregated and disjointed dimensions. As partial least square (PLS) gains its tractions in theory development, behavioural accounting discipline in general should exploit the flexibility of PLS to work with the higher-order factors. However, technical guides are scarcely available. Therefore, this article presents a PLS approach to validate a higher-order factor on a statistical ground using accounting information system dataset.
Key words: Second-order factor / partial least square / PLS
© The Authors, published by EDP Sciences, 2017
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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