Analysis of the Threshold Values of Semantic Structure Analysis in Identifying Causal Relationships |
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| Authors: | Jiunn-I Shieh Hsin-Hung Wu Hsiang-Chuan Liu |
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| Institution: | 1. Department of Applied Informatics and Multimedia , Asia University , Wufeng , Taichung , Taiwan;2. Department of Business Administration , National Changhua University of Education , Changhua City , Taiwan;3. Department of Bioinformatics &4. Medical Informatics , Asia University , Wufeng , Taichung , Taiwan |
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| Abstract: | This study uses a semantic structure analysis (SSA) method to construct the causal relationships among the criteria from survey data. The literatures provide a predetermined threshold value when the SSA is applied without explanation, but we use a Monte Carlo simulation based on the raw data to determine the threshold values with the significant levels of 0.05 and 0.10 for constructing the causal relationships. The results show that the causal relationships among the criteria using the suggested threshold value are too complicated, while the causal relationships by the simulated threshold values are relatively easy to be understood and used practically. |
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| Keywords: | Causal relationship Medical care service quality Monte Carlo simulation Semantic structure analysis |
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