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• W28516963 abstract "The discovery of causal relationships from empirical data is an importantproblem in theory development. We investigate the use of TETRAD IV to helpresearcher in a theory development phase. We applied TETRAD IV, a heuristicsearch software that used for discovering causal effect relationship betweenvariables based on a specific model. To performed our task, we defined two casestudies. First, we re-analyse an existing model or theory using originalcorrelation matrix data from a paper in Knowledge Sharing field. Second, wevalidated the existing model by conducting a survey using data from 90respondents (Bachelor, master, PhD candidate) in the University of Twenteacademic setting, which pointed out Blackboard as the primary online learningtools to support teaching as well as sharing the knowledge. The results give ussuprising remarks. From the first case study, TETRAD IV discovered spuriousrelationship in the model, which are there is no causal effect between itsvariables. Furthermore, using our own data, we found the same results of causallinkage as we have in the first case study. These results give the idea of what trulyoccurs given the real data. Thus, it is critical to explore the relationships amongthe variables in the model using exploratory research tools, as TETRAD IV, to aidand guide the researcher in theory development phase." @default.
• W28516963 created "2016-06-24" @default.
• W28516963 creator A5000902570 @default.
• W28516963 date "2011-01-01" @default.
• W28516963 modified "2023-09-23" @default.
• W28516963 title "Application of TETRAD in information systems theory development using knowledge sharing literature: case-study based approach" @default.
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• W28516963 hasPublicationYear "2011" @default.
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