Principal Components Analysis (PCA) and Factor Analysis (FA) are often employed in identifying structures that underlie complex psychometric tools. Although the two strategies differ in terms of their applications, it is important to compare structures that may emerge when they are performed on such tools as the Early Development Instrument (EDI). The purpose of such an analysis is to simplify ...

objective: the aim of this study is to explore the confirmatory factor analysis results of the persian adaptation of abbreviated math anxiety scale (amas), proposed by hopko, mahadevan, bare & hunt. method: the validity and reliability assessments of the scale were performed on 298 college students chosen randomly from tabriz university in iran. the confirmatory factor analysis (cfa) was carrie...

How parameterizations affect model selection performance is an issue that has been ignored or seldom studied since traditional model selection criteria, such as Akaike’s information criterion (AIC), Schwarz’s Bayesian information criterion (BIC), difference of negative log-likelihood (DNLL), etc., perform equivalently on different parameterizations that have equivalent likelihood functions. For...

background: fanconi anemia (fa) is an autosomal recessive disorder characterized by congenital malformations, bone marrow failure, development of squamous cell carcinoma (scc), and other cancers. human papillomavirus (hpv) in the oral cavity or oropharynx has been associated with an increased risk of laryngeal papillomatosis, invasive squamous cell carcinoma of the head and neck (hnscc) and cer...

The evaluation of the spatial and temporal variability soil properties can be valuable to improve crop productivity health. A study was carried out in southern Portugal, three farm fields with irrigated annual crops (layers 0–20 cm 20–40 cm), over years. Factor Analysis (FA) Discriminant (DA) were used analyze data. With FA, observed variables grouped into a smaller number latent related attrib...

The rapid growth and advances of information technology enable data to be accumulated faster and in much larger quantities (i.e., data warehousing). Faced with vast new information resources, scientists, engineers, and business people need efficient analytical techniques to extract useful information and effectively uncover new, valuable knowledge patterns. Data preparation is the beginning act...

In chronic lymphocytic leukemia (CLL), NOTCH1 gene mutations (NOTCH1mut) have been associated with adverse prognostic features but the independence of these as a prognostic factor is still controversial. In our study we validated a c.7541-7542delCT NOTCH1 mutation assay based on droplet digital PCR (ddPCR); we also analyzed the NOTCH1mut allelic burden, expressed as fractional abundance (FA), i...

Factor analysis (FA) is a standard technique in multivariate analysis which is routinely used in social and behavioral sciences. The aim of factor analysis is to summarize the correlation structure of observed variables X1; X2; : : : ; Xp: For this purpose one constructs k < p unobservable or latent variables f1; : : : ; fk, which are called the factors, and which are linked with the original v...

Background: Mammalian spermatozoa are characterized by a high proportion of polyunsaturated fatty acids (PUFA) and the membrane structure of spermatozoa plays a crucial role in fertilization. Moreover, dietary fatty acid (FA) influence sperm FA profiles in several species. This study focused on responses to dietary omega-3 fatty acids and comprehensive fatty acid profiles analysis in men as wel...

Factor Analysis (FA) based techniques have become the state of the art in automatic speaker verification thanks to their great ability to model session variability. This ability, in turn, relies on accurately estimating a session variability subspace for the operating conditions of interest. In cases such as forensic speaker recognition, however, this requirement cannot always be satisfied due ...