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Determining Dimensionality of Exercise Readiness Using Exploratory Factor Analysis
Flexible nonlinear periodization vitality physical fatigue discomfort health
2016/7/7
Assessment of “exercise readiness” is a central component to the flexible non-linear periodization (FNLP) method of organizing training workloads, but the underlying factor structure of this construct...
Oneof the purposes of psychology is to attempt to understand and account for observable individual differences in behavior in terms of a limited number of concepts or ideal constructs. The names given...
CANONICAL ANALYSIS:SOME RELATIONS BETWEEN CANONICAL CORRELATION,FACTOR ANALYSIS,DISCRIMINANT FUNCTION ANALYSIS,AND SCALING THEORY
CANONICAL ANALYSIS SOME RELATIONS BETWEEN CANONICAL CORRELATION FACTOR ANALYSIS DISCRIMINANT FUNCTION ANALYSIS SCALING THEORY
2015/7/24
The theory of canonical correlation (Hotelling, 1935, 1936) was originally developed to extract the most predictable criterion composite when several criteria and several predictors are available. The...
The object of the following is to present an account of a general system for nonlinear factor analysis, to illustrate its usefulness with the aid of a number of empirical applications and some constru...
The clustering of agricultural products and determining important countries for these clusters by the factor analysis
Eigen value herbal product total variability Varimax
2014/11/28
In the study, some important herbal agricultural products with respect to their production have been clustered, in addition to determining the most important or the best countries in terms of the prod...
Non-Negative Factor Analysis for Gaussian Mixture Model Weight Adaptation for Language and Dialect Recognition
Non-negative factor analysis model adaptation Gaussian mixture model weight dialect recognition language recognition
2014/11/27
Non-Negative Factor Analysis for Gaussian Mixture Model Weight Adaptation for Language and Dialect Recognition.
Confirmatory factor analysis as a tool in research using questionnaires: a critique
Confirmatory factor analysis questionnaires critique
2016/3/17
Predicting the factor structure of a test and comparing this with the factor structure, empirically derived from the item scores, is a powerful test of the content validity of the test items, the theo...
Joint Topic Modeling and Factor Analysis of Textual Information and Graded Response Data
Factor analysis topic model personalized learning machine learning block coordinate descent
2013/6/14
Modern machine learning methods are critical to the development of large-scale personalized learning systems that cater directly to the needs of individual learners. The recently developed SPARse Fact...
Sparse Factor Analysis for Learning and Content Analytics
factor analysis sparse probit regression sparse logistic regression Bayesian latent factor analysis personalized learning
2013/4/28
We develop a new model and algorithms for machine learning-based learning analytics, which estimate a learner's knowledge of the concepts underlying a domain, and content analytics, which estimate the...
Order-preserving factor analysis (OPFA)
Order-preserving factor OPFA precedence-ordering optimization
2011/6/17
We present a novel factor analysis method that can be applied to the discovery of common factors shared among trajectories in multivariate time series data. These factors satisfy a precedence-ordering...
Sectoral versus Aggregate Shocks: A Structural Factor Analysis of Industrial Production
Sectoral Aggregate Shocks Structural Factor Analysis Industrial Production
2014/3/18
Using factor methods, we decompose industrial production (IP) into components arising from aggregate and sector-specific shocks. An approximate factor model finds that nearly all of IP variability is ...
Brief report: Confirmatory factor analysis of the social anxiety scale for children
social anxiety scale children
2010/2/25
A confirmatory factor analysis was performed on responses from 436 (234 female, 202 male) primary
school students to the La Greca et al. (1988) Social Anxiety Scale for Children (SASC). While loading...
On artificial results due to using factor analysis for dichotomous variables
Factor analysis dichotomous variable artificial factor tetrachoric correlation
2010/1/4
This paper serves to remind the reader, that factor analysis in the case of dichotomous variables will often lead to artificial factors. In other words, the factors correspond primarily to certain lev...
Spatial Dynamic Factor Analysis
Bayesian inference forecasting Gaussian process spatial interpolation random fields
2009/9/22
A new class of space-time models derived from standard dynamic fac-
tor models is proposed. The temporal dependence is modeled by latent factors
while the spatial dependence is modeled by the factor...
Expected Posterior Priors in Factor Analysis。