Multilevel IRT models for the analysis of satisfaction for distance learning during the Covid-19 pandemic
Year of publication: |
2023
|
---|---|
Authors: | Bacci, Silvia ; Fabbricatore, Rosa ; Iannario, Maria |
Published in: |
Socio-economic planning sciences : the international journal of public sector decision-making. - Amsterdam [u.a.] : Elsevier, ISSN 0038-0121, ZDB-ID 208905-1. - Vol. 86.2023, p. 1-11
|
Subject: | Digital innovation | Item response theory | Latent variable model | Random effects model | Remote learning | Coronavirus | Fernunterricht | Distance learning | E-Learning | E-learning | Epidemie | Epidemic | Multivariate Analyse | Multivariate analysis | Lernen | Learning |
-
Alanzi, Khalid A., (2023)
-
School's out: experimental evidence on limiting learning loss using "low-tech" in a pandemic
Angrist, Noam, (2020)
-
Emergency remote learning acceptance among higher education students during COVID-19 pandemic
Pilav-Velić, Amila, (2021)
- More ...
-
A causal analysis of mother’s education on birth inequalities
Bacci, Silvia, (2012)
-
Differences in birth-weight outcomes: A longitudinal study based on siblings
Bacci, Silvia, (2014)
-
A finite mixture latent trajectory model for hirings and separations in the labor market
Bacci, Silvia, (2014)
- More ...