the main of this paper is designing a model for holographic organization with identify the factors that effects on it. designing the holographic organization regarding components as dynamic capacity building, holistic environment, efficient human capital, increased self-managing, and smart structure aims at crystallizing the entire quality in each single part with the intention. this article is...

Sparse principal component analysis is a very active research area in the last decade. It produces component loadings with many zero entries which facilitates their interpretation and helps avoid redundant variables. The classic factor analysis is another popular dimension reduction technique which shares similar interpretation problems and could greatly benefit from sparse solutions. Unfortuna...

This paper develops and applies a Bayesian approach to Exploratory Factor Analysis that improves on ad hoc classical approaches. Our framework relies on dedicated factor models and simultaneously determines the number of factors, the allocation of each measurement to a unique factor, and the corresponding factor loadings. Classical identification criteria are applied and integrated into our Bay...

Bi-factor analysis is a form of confirmatory factor analysis originally introduced by Holzinger. The bi-factor model has a general factor and a number of group factors. The purpose of this paper is to introduce an exploratory form of bi-factor analysis. An advantage of using exploratory bi-factor analysis is that one need not provide a specific bi-factor model a priori. The result of an explora...

Principal components analysis and factor analysis are common methods used to analyze groups of variables for the purpose of reducing them into subsets represented by latent constructs (Bartholomew, 1984; Grimm & Yarnold, 1995). Even though PCA shares some important characteristics with factor analytic methods such as exploratory factor analysis (EFA) and confirmatory factor analysis (CFA), the ...

Abstract Replicability has become a highly discussed topic in psychological research. The debates focus mainly on significance testing and confirmatory analyses, whereas exploratory analyses such as factor analysis are more or less ignored, although hardly any comparable impact entire research areas. Determining the correct number of factors for this is probably most crucial, yet ambiguous deci...

aim and background: the aim of the present study was to investigatethe psychometric properties of the trait hope scale and its relation with psychological well-being of iranian university students. methods and materials: in this descriptivesurvey, 191 students of hamadan islamic azad university (mean age: 24.17 ± 4.30 years; range: 18-45 years) were selected through stratified randomsampling.th...