Results 31 to 40 of about 36,820 (296)
International Journal of Social Sciences and Humanities Invention, 2018 The main thrust of the study is investigate the main socio-economic and demographic antecedents and proximate factors influencing Infant Mortality Levels and Patterns in Sub-Saharan African The source of data of the study is largely from the 2001-2005 UNDP Human Development Reports, National Census Results, DHS data and Demographic survey results
openaire +1 more source
Journal of Agricultural Sciences, 2023 The use of repeated measures analysis of variance (ANOVA) options for the analysis of in vitro ruminal fermentation gas production profiles is illustrated.
Dan Dhanoa +7 more
semanticscholar +1 more source
Frontiers in Psychology, 2019 The objective of the present study was to experimentally assess the effects of a mindfulness-based intervention (MBI) for the improvement of subjective well-being, trait emotional intelligence (TEI), mental health, and resilience in a sample of women ...
Javier Cejudo +5 more
doaj +1 more source
Biostatistics series module 10: Brief overview of multivariate methods
Indian Journal of Dermatology, 2017 Multivariate analysis refers to statistical techniques that simultaneously look at three or more variables in relation to the subjects under investigation with the aim of identifying or clarifying the relationships between them.
Avijit Hazra, Nithya Gogtay
doaj +1 more source
Agronomy, 2020 Droplet characteristics are identified as essential factors in agricultural spray application. The aims of this study were to analyse the influence of spray parameters on droplet characteristics and to determine possible candidate sprays that would ...
Juan Liao +6 more
doaj +1 more source
Frontiers in Psychology, 2021 BackgroundInformation processing speed (IPS) is a marker for cognitive function. It is associated with neural maturation and increases during development. Traditionally, IPS is measured using paper and pencil tasks requiring fine motor skills.
Marie-Noëlle Klein +9 more
doaj +1 more source
Analysis of Covariance (ANCOVA)
Psychology, 2020 The analysis of covariance (ANCOVA) is a method for testing the hypothesis of the equality of two or more population means, ideally in the context of a designed experiment.
B. Huitema
semanticscholar +1 more source
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Cognitive decline is a disabling and variable feature of Parkinson disease (PD). While cholinergic system degeneration is linked to cognitive impairments in PD, most prior research reported cross‐sectional associations. We aimed to fill this gap by investigating whether baseline regional cerebral vesicular acetylcholine transporter ...
Taylor Brown +6 more
wiley +1 more source
Memory and Resting‐State Connectivity in Acute Transient Global Amnesia: A Case–Control fMRI Study
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Background and Objectives Transient global amnesia (TGA) is a striking model of isolated amnesia. While hippocampal lesions are well described, the network‐level mechanisms and the precise neuropsychological profile remain debated. Our objective was thus to characterize functional and neuropsychological correlates of acute TGA and their ...
Elias El Otmani +10 more
wiley +1 more source
IOP Conference Series: Materials Science and Engineering, 2020 Analysis of covariance (ancova) is a blend of regression and analysis of variance (anova) used for upgrade precision of an experiment. Ancova can be used for all experimental design including completely randomized design. The completely randomized design
Faula Arina +2 more
semanticscholar +1 more source