Lozano Bleda, Jose Hector joseh.lozano@uam.es
Publications
- Articles 24
- Books 0
- Book chapters 0
- Conferences 1
- Working papers 0
- Technical reports 0
- Research projects 2
- Supervised theses 0
- Patent or software license 0
Investigating operation-specific learning effects in the Raven's Advanced Progressive Matrices: A linear logistic test modeling approach
- Lozano JH
- Revuelta J
Intelligence - 1/9/2020
10.1016/j.intell.2020.101468 View at source
- ISSN 01602896
Bayesian Estimation and Testing of a Linear Logistic Test Model for Learning during the Test
- Lozano, Jose H.
- Revuelta, Javier;
Applied Measurement In Education (p. 223-235) - 30/7/2021
10.1080/08957347.2021.1933982 View at source
- ISSN 15324818
A Bayesian Generalized Explanatory Item Response Model to Account for Learning During the Test
- Lozano, Jose H.
- Revuelta, Javier;
Psychometrika (p. 994-1015) - 30/8/2021
10.1007/s11336-021-09786-x View at source
- ISSN 00333123
A Bayesian General Model to Account for Individual Differences in Operation-Specific Learning Within a Test
- Lozano JH
- Revuelta J
Educational And Psychological Measurement (p. NULL-807) - 1/1/2022
10.1177/00131644221109796 View at source
- ISSN 00131644
This researcher has no books.
This researcher has no book chapters.
This researcher has no working papers.
This researcher has no technical reports.
Análisis bayesiano psicométrico de ítems de elección forzosa con respuesta continua mediante la distribución DIRICHLET
- Lozano Bleda, Jose Hector (Colaborador/a)
- Ximenez Gomez, Maria Carmen (Investigador principal (IP))
- Revuelta Menendez, Javier (Investigador principal (IP))
Period: 01-01-2019 - 30-09-2022
Type of funding: National
Amount of funding: 36300,00 Euros.
- iMarina
ANÁLISIS FACTORIAL BAYESIANO DE ÍTEMS DE ELECCIÓN FORZOSA
- Martín Fernández, Manuel (Colaborador/a)
- Lozano Bleda, Jose Hector (Colaborador/a)
- Revuelta Menendez, Javier (Investigador principal (IP))
- Ximenez Gomez, Maria Carmen (Investigador principal (IP))
Period: 01-09-2022 - 31-08-2026
Type of funding: National
Amount of funding: 50578,00 Euros.
- iMarina
This researcher has no supervised thesis.
This researcher has no patents or software licenses.
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