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The use of factor analysis allowed us to include the key features of movement patterns re-expressed as factor variables in the multivariable analyses.
We combine the use of factor analysis with the valuation data obtained by contingent valuation survey.
With the use of factor analysis, the underlying factors are identified as: (1) enablers and means; (2) the use of services; and (3) the ICT sector's development.
This study investigates the feasibility of a partial solution to the problem of multiple comparisons: the use of factor analysis to reduce the number of phenotypic variables and to better understand the underlying cognitive architecture in schizophrenia.
I will present the use of Factor Analysis to analyze neural coordination during BMI control by partitioning neural activity variance arising from two sources: private inputs to each neuron which drive independent, high-dimensional variance, and shared inputs which drive multiple neurons simultaneously and produce low-dimensional covariance.
This paper (1) describes the use of factor analysis as a means of quantifying hospitals' obstetrical care, and (2) compares within respective unconditional logistic regression models the performance of factor scores with that of the "obstetrical unit service level" (OBUSL) classification as defined by the American Hospital Association AHAAmerican Hospital Association AHA
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A previous review highlighted the motivations and the pitfalls of the use of various forms of factor analysis for this purpose [ 4].
The AASES was however found to be an efficient instrument for measuring self-efficacy to abstain from alcohol use through the use of exploratory factor analysis and reliability analysis.
Whilst the use of the factor analysis facilitated the achievement of a parsimonious instrument, it was precisely some of the constructs that are most intricately linked to the concept of motivation that did not perform well and were removed.
The use of confirmatory factor analysis appears dubious as strategy for examining the potential usefulness of the scale.
A further strength of this study is the use of multivariate factor analysis to find patterns and trends in the large data set, before proceeding with univariate analyses of the X-variables that contributed most to the respective models.
More suggestions(15)
use of correlation analysis
use of interval analysis
use of factor extraction
use of gait analysis
use of error analysis
use of variance analysis
use of visitor analysis
use of texture analysis
use of exergy analysis
use of handwriting analysis
use of risk analysis
use of frequency analysis
use of factor structure
use of microarray analysis
use of power analysis
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