Cargando…

Investigating the Structure of Intelligence Using Latent Variable and Psychometric Network Modeling: A Commentary and Reanalysis

In a recent publication in the Journal of Intelligence, Dennis McFarland mischaracterized previous research using latent variable and psychometric network modeling to investigate the structure of intelligence. Misconceptions presented by McFarland are identified and discussed. We reiterate and clari...

Descripción completa

Detalles Bibliográficos
Autores principales:	Schmank, Christopher J., Goring, Sara Anne, Kovacs, Kristof, Conway, Andrew R. A.
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	MDPI 2021
Materias:	Commentary
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7930969/ https://www.ncbi.nlm.nih.gov/pubmed/33562895 http://dx.doi.org/10.3390/jintelligence9010008

Ejemplares similares

Psychometric Network Analysis of the Hungarian WAIS
por: Schmank, Christopher J., et al.
Publicado: (2019)

Recent Integrations of Latent Variable Network Modeling With Psychometric Models
por: Wang, Selena
Publicado: (2021)

Individual Differences in Attention and Intelligence: A United Cognitive/Psychometric Approach
por: Conway, Andrew R. A., et al.
Publicado: (2021)

Commentary: Artificial intelligence–A game changer
por: Ahuja, Ashish, et al.
Publicado: (2020)

Commentary: Artificial intelligence-based screening of retina
por: Bansal, Mayank, et al.
Publicado: (2022)

Commentary: Is human supervision needed for artificial intelligence?
por: Akkara, John Davis, et al.
Publicado: (2022)

Biologically inspired intelligent decision making: A commentary on the use of artificial neural networks in bioinformatics
por: Manning, Timmy, et al.
Publicado: (2014)

Commentary: Methods are the investigator's lens
por: Vinten-Johansen, Jakob
Publicado: (2020)

Commentary: Rise of machine learning and artificial intelligence in ophthalmology
por: Akkara, John Davis, et al.
Publicado: (2019)

Commentary: Artificial intelligence for everything: Can we trust it?
por: Akkara, John Davis, et al.
Publicado: (2020)

Commentary: Artificial intelligence in ophthalmology: Potential challenges and way ahead
por: Agarwal, Divya, et al.
Publicado: (2020)

Commentary: Artificial intelligence and machine learning in ocular oncology: Retinoblastoma
por: Gopal, Lingam
Publicado: (2023)

Commentary: Ocular myasthenia gravis: Interpreting the investigations
por: Nair, Akshay Gopinathan
Publicado: (2022)

The Relationship between Theory of Mind and Intelligence: A Formative g Approach
por: Navarro, Ester, et al.
Publicado: (2021)

How to Compare Psychometric Factor and Network Models
por: Kan, Kees-Jan, et al.
Publicado: (2020)

Item-Position Binding Capacity Limits and Word Limits in Working Memory: A Reanalysis of Oberauer (2019)
por: Cowan, Nelson
Publicado: (2022)

Commentary: Optic capture – An intelligent approach toward intraocular lens placement in zonular laxity
por: Tripathi, Amruta S
Publicado: (2022)

Rethinking the combination treatment of fulvestrant and anastrozole for metastatic breast cancer: an integrated reanalysis of aromatase–estrogen receptor axis
por: Huang, Xing
Publicado: (2019)

Commentary: Smartphone imaging integrated with offline artificial intelligence – A boon for the screening of diabetic retinopathy
por: Ramasamy, Kim, et al.
Publicado: (2021)

Effect of multiple micronutrient supplements v. iron and folic acid supplements on neonatal mortality: a reanalysis by iron dose
por: Gomes, Filomena, et al.
Publicado: (2022)

Commentary: Causal Effects in Mediation Modeling: An Introduction with Applications to Latent Variables
por: Coman, Emil N., et al.
Publicado: (2017)

The Role of Non-Cognitive Factors in the SAT Remains Unclear: A Commentary on Hannon (2019)
por: Conway, Andrew R. A., et al.
Publicado: (2020)

Commentary: Artificial intelligence and smartphone fundus photography – Are we at the cusp of revolutionary changes in retinal disease detection?
por: Madanagopalan, V G, et al.
Publicado: (2020)

Commentary: Automated Diagnosis and Gleason Grading of Prostate Cancer – Are Artificial Intelligence Systems Ready for Prime Time?
por: Parwani, Anil V.
Publicado: (2019)

Psychometric Validation of the Revised Family Affluence Scale: a Latent Variable Approach
por: Torsheim, Torbjørn, et al.
Publicado: (2015)

Commentary: It's not the first mistake, it's the second
por: Seder, Christopher W.
Publicado: (2020)

Commentary: In defense of the Hawthorne effect
por: Caldarone, Christopher A.
Publicado: (2021)

Commentary: First master the fundamentals
por: Mascio, Christopher E., et al.
Publicado: (2021)

Commentary: A mobile application for generating differential diagnosis in neuro-ophthalmology – New tool using artificial intelligence
por: Sudhakar, Padmaja
Publicado: (2021)

Commentary: Patient Perspectives on Artificial Intelligence; What have We Learned and How Should We Move Forward?
por: Camaradou, Jennifer Catherine Louise, et al.
Publicado: (2023)

Commentary: Changing the equation by boosting the numerator
por: Najmeh, Sara, et al.
Publicado: (2020)

Commentary
por: Celtik, Coskun, et al.
Publicado: (2011)

Commentary
por: Diwan, SK
Publicado: (2011)

Commentary
por: Martinovic, Zarko
Publicado: (2011)

Commentary
por: Mendel, Tadeusz
Publicado: (2011)

Commentary
por: Pal, Ranabir
Publicado: (2011)

Commentary
por: Shukla, Dhaval
Publicado: (2011)

Commentary
por: McMillan, Hugh J, et al.
Publicado: (2011)

Commentary
por: Shukla, Dhaval
Publicado: (2010)

Commentary
por: Khairkar, Praveen
Publicado: (2010)

Cannot write session to /tmp/vufind_sessions/sess_0s8p7hp7qmv9ijq867cudpmsua