Implementing structural equation modelling and multiple mediator models for management information systems
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AbstractPurpose Overall quantitative research aims to observe certain fundamental principles of logic and scientific frame of reasoning. There continues to be challenges on how quantitative research is conducted in the field of information systems. Design/methodology/approach Structured equation modelling (SEM) research identifies concerns about the standard of scientific enquiry method, the issue of the misconception of sustaining the consequent and the issue of collective validity. Therefore, rigor and robustness in instrument validity, constructs validity and path analysis validity maybe better achieved by attending to these three concerns. Measuring a multiple mediator construct in a hypothetical model continues to be a challenge for researchers in information systems research and related fields. Findings This paper aims to provide a thoughtful assessment of the contemporary issues of structural equation modelling methodology (SEMM), by providing rigid and robust SEMM that has several stages in specifying valid multiple mediators construct and the process to measuring in a path analysis model. This paper attempts to develop each stage of the methodology using relevant research to construct a methodology specified to test effects in multiple mediators in SEM using AMOS software. The methodology developed contains the two main phases; first is prior to data collection phase and the second phase is after the data collection, the use of this methodology design, for implementation, intended to support high methodological standards and subsequent quality in MIS research findings. Originality/value The research paper provides SEMM that has several stages in specifying valid multiple mediators construct and the process to measuring in a path analysis model.
CitationOsman, E., Hardaker, G., & Glenn, L. E. (2022). Implementing structural equation modelling and multiple mediator models for management information systems. The International Journal of Information and Learning Technology. https://doi.org/10.1108/ijilt-09-2022-0182