Multidimensional scaling analysis.
Quantitative and categorical data derived from the multiple sorting methods were subjected to multidimensional scaling analysis.
Data were analysed using Chi-square, Kendall's W, and multidimensional scaling analysis.
The multidimensional scaling analysis showed satisfactory fit indices for the two-dimensional solution, RSQ = .71, Stress = .23.23
The result of the multidimensional scaling analysis indicated twodifferent profiles for the two groups: high and low programming performance groups.
Nonmetric multidimensional scaling analysis of the distribution of operational taxonomic units showed differences in bamboo soil bacterial communities across gradients.
Pereira et al. (2005) also tested the structure proposed by the societal approach using multidimensional scaling analysis.
The multidimensional scaling analysis showed good fit indices (RSQ = .89, Stress = .16) for the two-dimensional solution.
Furthermore, nonmetric multidimensional scaling analysis showed that the influence degree of afforestation on activities of the four enzymes was higher than that of temporal variation.
The response time data from the discrimination were used for the multidimensional scaling analysis.
The resulting 8,506 genes were analyzed by unsupervised hierarchical clustering and multidimensional scaling analysis.
