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Hudson Golino
Hudson Golino
Associate Professor, Department of Psychology, University of Virginia
E-mail confirmado em virginia.edu - Página inicial
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Decade of healthy ageing: baseline report
World Health Organization
World Health Organization, 2021
8082021
Exploratory graph analysis: a new approach for estimating the number of dimensions in psychological research
HF Golino, S Epskamp
Plos One 12 (6), 26, 2017
7552017
Investigating the performance of Exploratory Graph Analysis and traditional techniques to identify the number of latent factors: A simulation and tutorial
H Golino, D Shi, LE Garrido, A Christensen, MD Nieto, R Sadana, ...
Psychological Methods, 2020
3102020
EGAnet: Exploratory Graph Analysis: A framework for estimating the number of dimensions in multivariate data using network psychometrics
H Golino, AP Christensen
R Package, 2020
261*2020
A psychometric network perspective on the validity and validation of personality trait questionnaires
AP Christensen, H Golino, PJ Silvia
European Journal of Personality 34 (6), 1095-1108, 2020
1972020
Estimating the dimensionality of intelligence like data using Exploratory Graph Analysis
HF Golino, A Demetriou
Intelligence 62, 54-70, 2017
1742017
On the equivalency of factor and network loadings
AP Christensen, H Golino
Behavior Research Methods, 1-18, 2021
162*2021
Estimating the Stability of Psychological Dimensions via Bootstrap Exploratory Graph Analysis: A Monte Carlo Simulation and Tutorial
AP Christensen, H Golino
Psych 3 (3), 479-500, 2021
1212021
Predicting school achievement rather than intelligence: Does metacognition matter?
CMA Gomes, HF Golino, IG Menezes
Psychology 2014, 2014
1102014
Predicting increased blood pressure using machine learning
HF Golino, LSB Amaral, SFP Duarte, CMA Gomes, TJ Soares, LA Reis, ...
Journal of obesity 2014 (1), 637635, 2014
1082014
O que a inteligência prediz: diferenças individuais ou diferenças no desenvolvimento acadêmico?
CMA Gomes, HF Golino
Revista Psicologia: Teoria e Prática 14 (1), 126-139, 2012
872012
Predicting academic achievement of high-school students using machine learning
HF Golino, CMA Gomes, D Andrade
Psychology 5 (18), 2046-2057, 2014
822014
Random forest as an imputation method for education and psychology research: its impact on item fit and difficulty of the Rasch model
HF Golino, CMA Gomes
International Journal of Research & Method in Education 39 (4), 401-421, 2016
762016
The validity of the Cattel-Horn-Carroll model on the intraindividual approach.
CMA Gomes, J de Arújo, MG Ferreira, HF Golino
Behavioral Development Bulletin 19 (4), 22, 2014
762014
Entropy Fit Indices: New Fit Measures for Assessing the Structure and Dimensionality of Multiple Latent Variables.
H Golino, RG Moulder Jr, D Shi, AP Christensen, MD Nieto, ...
Multivariate Behavioral Research, 2020
742020
The construction and validation of a developmental test for stage identification: Two exploratory studies.
HF Golino, CMA Gomes, ML Commons, PM Miller
Behavioral Development Bulletin 19 (3), 37, 2014
742014
Four Machine Learning methods to predict academic achievement of college students: a comparison study
HF Golino, CMA Gomes
Revista E-Psi 1, 68-101, 2014
732014
Exploratory graph analysis of the multidimensional schizotypy scale
AP Christensen, GM Gross, HF Golino, PJ Silvia, TR Kwapil
Schizophrenia Research 206, 43-51, 2019
642019
Análise da fidedignidade composta dos escores do enem por meio da análise fatorial de itens/analysis of the composite reliability of the scores of enem via factor analysis of items
CMA Gomes, HF Golino, AJ de Souza Peres
European Journal of Education Studies, 2018
642018
Preditores do rendimento escolar: inteligência geral e crenças sobre ensino-aprendizagem
FA Alves, RP Flores, CMA Gomes, HF Golino
Revista E-Psi 1 (2), 97-117, 2012
642012
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