Decade of healthy ageing: baseline report World Health Organization World Health Organization, 2021 | 763 | 2021 |
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 | 728 | 2017 |
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 | 294 | 2020 |
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 | 249* | 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 | 182 | 2020 |
Estimating the dimensionality of intelligence like data using Exploratory Graph Analysis HF Golino, A Demetriou Intelligence 62, 54-70, 2017 | 170 | 2017 |
On the equivalency of factor and network loadings AP Christensen, H Golino Behavior Research Methods, 1-18, 2021 | 150* | 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 | 113 | 2021 |
Predicting school achievement rather than intelligence: Does metacognition matter? CMA Gomes, HF Golino, IG Menezes Psychology 2014, 2014 | 108 | 2014 |
Predicting increased blood pressure using machine learning HF Golino, LSB Amaral, SFP Duarte, CMA Gomes, TJ Soares, LA Reis, ... Journal of obesity 2014, 2014 | 107 | 2014 |
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 | 85 | 2012 |
Predicting academic achievement of high-school students using machine learning HF Golino, CMA Gomes, D Andrade Psychology 5 (18), 2046-2057, 2014 | 76 | 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 | 74 | 2014 |
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 | 73 | 2016 |
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 | 73 | 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 | 72 | 2014 |
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 | 69 | 2020 |
Exploratory graph analysis of the multidimensional schizotypy scale AP Christensen, GM Gross, HF Golino, PJ Silvia, TR Kwapil Schizophrenia Research 206, 43-51, 2019 | 63 | 2019 |
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 | 63 | 2018 |
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 | 62 | 2012 |