Results 31 to 40 of about 890,988 (210)
Exploratory and Confirmatory Factor Analyses of Religiosity. A Four-Factor Conceptual Model [PDF]
Lemos, Carlos Miguel, et al. "Dimensionality and factorial
invariance of religiosity among Christians and the religiously unaffiliated."
PloS one 14.5 (2019): e0216352, 2017 We describe an exploratory and confirmatory factor analysis of the International Social Survey Programme Religion Cumulation (1991-1998-2008) data set, to identify the factors of individual religiosity and their interrelations in quantitative terms. The exploratory factor analysis was performed using data from the first two waves (1991 and 1998), and ...
arxiv +1 more source
Seizure Self-Efficacy Scale for Children with Epilepsy: Confirmatory and Exploratory Factor Analysis
Journal of Pediatric Research, 2017 Aim: In the past few years, the concept of self-efficacy in children with epilepsy has become increasingly important. This study aimed to analyze the psychometric aspects of the Turkish version of the Seizure Self-Efficacy Scale for Children. Materials
Şerife Tutar Güven +2 more
doaj +1 more source
AN EXPLORATORY FACTOR ANALYSIS OF LONG COVID
Central Asian Journal of Medical Hypotheses and Ethics, 2023 An exploratory factor analysis (EFA) can provide a window into the latent dimensions of a disease, such as Long COVID. Discovering the latent factors of Long COVID enables researchers and clinicians to better conceptualize, study and treat this disease.
Joseph A. Dorri, Leonard A. Jason
doaj +1 more source
Asian Journal of Technology Management, 2020 . Indonesia, as an archipelago country, posits the third rank of the world’s longest coastline list. The potential of coastal tourism was voluminous to be developed in the future. Since the tourism contribution has a positive inclination during the years
Kyoichi Kijima +4 more
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SmartEDA: An R Package for Automated Exploratory Data Analysis [PDF]
Journal of Open Source Software, 4(41), 1509 (2019), 2019 This paper introduces SmartEDA, which is an R package for performing Exploratory data analysis (EDA). EDA is generally the first step that one needs to perform before developing any machine learning or statistical models. The goal of EDA is to help someone perform the initial investigation to know more about the data via descriptive statistics and ...
arxiv +1 more source
Exploratory factor analysis of gait recognition [PDF]
2008 8th IEEE International Conference on Automatic Face & Gesture Recognition, 2008 Many studies have now shown that it is possible to recognize people by the way they walk. As yet there has been little formal study of the effects of covariates on the recognition process. We show how these factors can separately affect the walking pattern. Further we assess the contribution and discriminatory significance of the gait dynamics used for
Bouchrika, Imed, Nixon, Mark
openaire +2 more sources
Exploratory Factor Analysis with R Software
Anadolu Üniversitesi Eğitim Fakültesi dergisi, 2020 Exploratory Factor Analysis (EFA) is frequently used in educational and social sciences. EFA has been used in scale development and adaptation studies, in particular. Therefore, in this study, how to conduct EFA in R software has been explained. First of
Abdullah Faruk Kılıç
doaj +2 more sources
Construction and Psychometric Characteristics of the Parental Sexual Education Styles Questionnaire
Taḥqīqāt-i ̒Ulūm-i Raftārī, 2020 Aim and Background: The attitude of parents to their children's sexual education has an effect on their sexual behavior and interaction with their children. No specific measurement tool has ever been developed to evaluate and measure this matter. The aim
Hasan Abdollahzadeh, Sanaz Keykhosravi
doaj
Exploratory Factor Analysis in Morphometry [PDF]
, 1999 In this paper, we present an exploratory factor analytic approach to morphometry in which a high-dimensional set of shape-related variables is examined with the purpose of finding clusters with strong correlation. This clustering can potentially identify regions that have anatomic significance and thus lend insight to the morphometric investigation ...
Mario F. M. Campos +3 more
openaire +2 more sources
A Matrix--free Likelihood Method for Exploratory Factor Analysis of High-dimensional Gaussian Data [PDF]
, 2019 This paper proposes a novel profile likelihood method for estimating the covariance parameters in exploratory factor analysis of high-dimensional Gaussian datasets with fewer observations than number of variables. An implicitly restarted Lanczos algorithm and a limited-memory quasi-Newton method are implemented to develop a matrix-free framework for ...
arxiv +1 more source