Empirical evaluation of fully Bayesian information criteria for mixture IRT models using NUTS | ECAE Research Repository

Empirical evaluation of fully Bayesian information criteria for mixture IRT models using NUTS

Author

Rehab AlHakmani

Publisher

Behaviormetrika

Springer Nature

Date Issued

2022

Subject

Applied Statistics

Member of

Journal Articles

Resource URL

Behaviormetrika

Identifier

https://repository.ecae.ac.ae/id/ab820a4b-7c1c-49b6-9119-0b29723465d8

https://repository.ecae.ac.ae/id/ab820a4b-7c1c-49b6-9119-0b29723465d8

Author's Work

-

Examining the relationship between science motivational beliefs and science achievement in Emirati early adolescents through the lens of self-determination theory

Articles

10

Examining the relationship between science motivational beliefs and science achievement in Emirati early adolescents through the lens of self-determination theory

Shaljan Areepattamannil

Large-Scale Assessments in Education

Springer US

2023

-

Academic parenthood in the United Arab Emirates in the time of COVID-19

Articles

26

Academic parenthood in the United Arab Emirates in the time of COVID-19

Martina Dickson

Frontiers in Education

Frontiers

2023

-

Exploring technology acceptance: Teachers' perspectives on robotics in teaching and learning in the UAE

Articles

14

Exploring technology acceptance: Teachers' perspectives on robotics in teaching and learning in the UAE

Nagla Ali

Contemporary Educational Technology

Bastas Publications

2023