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To investigate the coexistence of the species in the IGP module, this study considers two factors: analysis methods and individual variation in adaptive behavior.
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The data had been analysed using SPSS with factors analysis method.
Besides the above three methods, political donation expenditure method (Goldman 2006), Suharto dependent index (Fisman 2001), geographical factors analysis method (Faccio & Parsley 2009) are additional methods used by scholars.
This compressed domain is generally found by using factor analysis methods such as Principal Component Analysis (PCA).
PCA is one of the factor analysis methods and, at the same time, one of the most widespread methods of analyzing a multidimensional data (chemometrics) [15 17].
This is the reason why, in a very wide sense, all the methods in this section could be designed as factor analysis methods.
Thus, applying factor analysis methods to discover significantly associated pathways uncovered eight-times as many hits.
It might also be argued that the use of standard factor analysis methods is inappropriate for dichotomous items.
In the literature several component and factor analysis methods for modelling multiple samples at the same time are available.
An often-noted limitation of using factor analysis methods is the inability to link observed factors in the analysis directly with actual sources.
Both factor analysis methods indicated that three-factor models provided a better fit to the data compared to two-factor (anxiety and depression) models for breast cancer patients.
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