Factor/Principal Components Analysis
Analysis of principal components of pollution in Baiyangdian
... before principal components ...as principal components analysis. Conduct principal components analysis in use of SPSS software [15] ...the factor ...
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The organisational culture of a ship : a description and some possible effects it has on accidents and lessons for seafaring leadership
... reliability analysis (Gay, 1992). The analysis showed that the responses did not produce a satisfactory reliability figure (Cronbach ...a Principal Components and Factor Analysis ...
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Personality disorders in substance abusers: Validation of the DIP Q through principal components factor analysis and canonical correlation analysis
... the factor structure, an equally impor- tant point is to what degree the same latent variables link the self-reported personality disorder traits and the staff reported severity of personality ...relation ...
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Diversification of increment reactions of Douglas fir (Pseudotsuga menziesii Franco) from mountainous regions of southern Poland
... of principal components analysis, response function and coefficients of convergence allowed the researchers to determine that the factor which integrated chronologies and determined the annual ...
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COPD phenotype description using principal components analysis
... Recently, factor analysis has been used by Lapperre et al [16] in 114 COPD patients to generate hypothesis about disease description using many of the same parameters as the current study, but importantly ...
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Detection of distributed oscillations and root-cause diagnosis
... measurements. Principal components analysis (PCA) can be applied to the power spectra for detection of groups of oscillatory process ...distortion factor and a non-linearity statistic based on ...
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Measuring Set Latent Variables Through Exploratory Factor Analysis with Principal Components Extraction and Validation with AMOS Software
... Furthermore, some authors developed an abbreviated version of the scale MARS, for example, Suinn and Winston [35] investigated the previous studies that attempted to shorten the original MARS, e.g., [19, 18, 26, 3] and ...
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County-level heat vulnerability of urban and rural residents in Tibet, China
... Methods: According to data availability and vulnerability factors identified previously in Tibet and elsewhere, we selected 10 variables related to advanced age, low income, illiteracy, physical and mental disability, ...
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Heritable patterns of tooth decay in the permanent dentition: principal components and factor analyses
... We used two related methods of extracting caries pat- terns in the permanent dentition from surface-level car- ies data. PCA yielded many moderate-to-weak patterns, possibly indicating a high degree of noise or sporadic ...
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Principal Components and Factor Analysis A Comparative Study
... In sum, FA is shown to largely outperform PCA on several grounds: i) when utilized as regressors and/or instruments, the FA scores produce more efficient slope estimators in instrumental variable estimation, notably in ...
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The ‘not-so-strange’ body in the mirror: A principal components analysis of direct and mirror self-observation : A principal components analysis of direct and mirror self-observation
... these components and pre-existing tendencies for appearance anxiety, body dysmorphic-type beliefs, dissociative symptomatology, self-objectification and delusion ideation further supported the similarity between ...
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Permutation validated principal components analysis of microarray data
... the principal components loadings for each of the ...first components of the PCA and components with high F-values are ...these components reflect the between-group ...compute ...
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Principal Components Analysis of Acacia burkei and A. nigrescens in Natal
... In Figure 6 the three morphological characters used in Figure 3 were plotted against the first and second components of the third analysis. Similar positive and negative correlations as in Figure 3 are ...
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Colon cancer diagnosis using NMR spectra of urine
... PCA is a transform that chooses a new coordinate system for a data set such that the greatest variance by any projection of the data set comes to lie on the first axis, the first principal component, the second ...
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Validation of intercultural sensitivity three factor model in Malaysian context
... Nonetheless, the three-factor model requires further validation due to the limitations of the study. First, the model is exploratory thus is subject to further validation. Second, the model was produced from a ...
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Principal Components Analysis a method Useful in Identification of Clusters of Variables
... selected components should not be less than 60% for better ...The components with eigenvalue ≥ 1 should be taken up along with the graph displayed by scree ...The components selected on the basis of ...
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Recursive Principal Components Analysis Using Eigenvector Matrix Perturbation
... to the same reason, smaller and previously acceptable eigen- spread values too become undesirable because consecutive eigenvalues approach each other. This causes the discrim- inability of the eigenvectors corresponding ...
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Linkage analysis using principal components of gene expression data
... linkage analysis was done using SIBPAL in ...phenotype analysis agreed with Mor- ley's; four, including the HLA region identified using the PC approach, were not found by ...
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Principal Components Analysis with Spline Optimal Transformations for Continuous Data
... nonlinear principal components and the original variables can be ...nonlinear principal components’ space and reconstruction the original ...nonlinear principal components and ...
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Recreational Fisheries in Rural Regions of the South-Western Iberian Peninsula: A Case Study
... two principal components to be considered; a fishing factor which includes the number and size of fish caught, and a recreational factor which includes non-catch components such as ...
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