Hudson Golino
Hudson Golino
Assistant Professor, Department of Psychology, University of Virginia
Verified email at - Homepage
Cited by
Cited by
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
Estimating the dimensionality of intelligence like data using Exploratory Graph Analysis
HF Golino, A Demetriou
Intelligence 62, 54-70, 2017
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
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
Predicting increased blood pressure using machine learning
HF Golino, LSB Amaral, SFP Duarte, CMA Gomes, TJ Soares, LA Reis, ...
Journal of obesity 2014, 2014
Predicting school achievement rather than intelligence: does metacognition matter?
CMA Gomes, HF Golino, IG Menezes
Psychology 5 (09), 1095-1110, 2014
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
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
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
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
Visualizing random forest’s prediction results
HF Golino, CMA Gomes
Psychology 5 (19), 2084, 2014
Predicting academic achievement of high-school students using machine learning
HF Golino, CMA Gomes, D Andrade
Psychology 5 (18), 2046, 2014
Decade of healthy ageing: baseline report
World Health Organization
World Health Organization, 2020
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
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
Psychology data from the “BAFACALO project: The Brazilian Intelligence Battery based on two state-of-the-art models–Carroll’s Model and the CHC model”
H Golino, C Gomes
Journal of Open Psychology Data 2 (1), 2014
Psicometria contemporânea: compreendendo os Modelos Rasch (1ªth ed., p. 416)
HF Golino, CMA Gomes, A Amantes, G Coelho
São Paulo: Casa do Psicólogo, 2015
Is small still beautiful for the Strengths and Difficulties Questionnaire? Novel findings using exploratory structural equation modeling
LE Garrido, JR Barrada, JA Aguasvivas, A Martínez-Molina, VB Arias, ...
Assessment 27 (6), 1349-1367, 2020
Factor retention in the intra-individual approach: Proposition of a triangulation strategy
CMA Gomes, HF Golino
Avaliaçao Psicologica: Interamerican Journal of Psychological Assessment 14 …, 2015
Investigando a validade estrutural das competências do ENEM: quatro domínios correlacionados ou um modelo bifatorial
CMA Gomes, HF Golino, AJS Peres
Boletim na Medida (INEP-Ministério da Educação) 5 (10), 33-30, 2016
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