Factor Analysis of Ordinal Items: Old Questions, Modern Solutions?
StatsFactor analysis, a staple of correlational psychology, faces challenges with ordinal variables like Likert scales. The validity of traditional methods, particularly maximum likelihood (ML), is debated.
João Marôco
doaj +1 more source
Frontiers in Applied Mathematics and Statistics, 2016 Multivariate analysis of variance (MANOVA) is a widely used technique for simultaneously comparing means for multiple dependent variables across two or more groups. MANOVA rests on several assumptions, including that of multivariate normality.
Holmes eFinch
doaj +1 more source
An approach to the integral optimization of investment portfolios
Journal of Open Innovation: Technology, Market and ComplexityA comprehensive approach to the optimization of financial portfolios is provided by the Integral Analysis Method (IAM), which comprises four steps: The description of the problem is followed by three mathematical steps, namely, cardinal analysis, ordinal
Rafael Guillermo García-Cáceres +4 more
doaj +1 more source
Estimating the Minimum Sample Size for Neural Network Model Fitting—A Monte Carlo Simulation Study
Behavioral SciencesIn the era of machine learning, many psychological studies use machine learning methods. Specifically, neural networks, a set of machine learning methods that exhibit exceptional performance in various tasks, have been used on psychometric datasets for ...
Yongtian Cheng +2 more
doaj +1 more source
Variable Selection and Basis Learning for Ordinal Classification
Journal of Computational and Graphical StatisticsWe propose a method for variable selection and basis learning for high-dimensional classification with ordinal responses. The proposed method extends sparse multiclass linear discriminant analysis, with the aim of identifying not only the variables relevant to discrimination but also the variables that are order-concordant with the responses.
Minwoo Kim +3 more
openaire +2 more sources
Frontiers in Public HealthIntroductionCausal inference of athletic injuries provides the critical foundations for the development of effective prevention strategies. In recent years, the directed acyclic graph model (DAG) has established itself as an indispensable tool in the ...
Tao Xie, Yaxian Hao, Fen Xie
doaj +1 more source
Un indicator informaţional pentru variabilele categoriale ale unei anchete. Notă de cercetare
Sociologie Românească, 2016 The statistical procedures used for data processing have to be considerate depending on measurement variables level: nominal, ordinal, interval or ratio type. Here are presented some examples for ordinal variables, where calculated mean is misleading and
Gabriel Sticlaru
doaj
Analysis of signals from air conditioner compressors with ordinal patterns and machine learning
Journal of Low Frequency Noise, Vibration and Active ControlMost machines are equipped with devices that monitor their operation. Air conditioners, in particular, are routinely monitored through various measurements.
Keila Barbosa +2 more
doaj +1 more source
The Effect of Faking on the Correlation Between Two Ordinal Variables: Some Population and Monte Carlo Results. [PDF]
Front Psychol, 2018 Bressan M, Rosseel Y, Lombardi L.
europepmc +1 more source
A recommendation for applied researchers to substantiate the claim that ordinal variables are the product of underlying bivariate normal distributions. [PDF]
Qual Quant, 2017 Kampen JK, Weeren A.
europepmc +1 more source