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.
| Original language | English |
|---|---|
| Pages (from-to) | 1543-1551 |
| Number of pages | 9 |
| Journal | Communications in Statistics: Simulation and Computation |
| Volume | 43 |
| Issue number | 7 |
| DOIs | |
| Publication status | Published - 2014 Jan 1 |
All Science Journal Classification (ASJC) codes
- Statistics and Probability
- Modelling and Simulation
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Shieh, J. I., Wu, H. H., & Liu, H. C. (2014). Analysis of the threshold values of semantic structure analysis in identifying causal relationships. Communications in Statistics: Simulation and Computation, 43(7), 1543-1551. https://doi.org/10.1080/03610918.2012.735322