Modeling burnout syndrome’s latent trait of nurses using the graded response model (2018)
- Authors:
- USP affiliated authors: NOVELLI, CIBELE MARIA RUSSO - ICMC ; GUZMÁN, JORGE LUIS BAZÁN - ICMC
- Unidade: ICMC
- Subjects: ESTRESSE PROFISSIONAL; INFERÊNCIA BAYESIANA; TEORIA DE RESPOSTA AO ITEM
- Language: Inglês
- Imprenta:
- Publisher: Universidade Federal Fluminense
- Publisher place: Niterói
- Date published: 2018
- Source:
- Título do periódico: Proceedings
- ISSN: 2526-7299
- Conference titles: Seminário Internacional de Estatística com R
-
ABNT
MAIA, Juliana Marambaia et al. Modeling burnout syndrome’s latent trait of nurses using the graded response model. 2018, Anais.. Niterói: Universidade Federal Fluminense, 2018. Disponível em: https://proceedings.science/iii-ser-2018/papers/modeling-burnout-syndrome%E2%80%99s-latent-trait-of-nurses-using-the-graded-response-model?lang=pt-br. Acesso em: 05 jun. 2024. -
APA
Maia, J. M., Russo, C. M., Bazán Guzmán, J. L., & Lesaffre, E. (2018). Modeling burnout syndrome’s latent trait of nurses using the graded response model. In Proceedings. Niterói: Universidade Federal Fluminense. Recuperado de https://proceedings.science/iii-ser-2018/papers/modeling-burnout-syndrome%E2%80%99s-latent-trait-of-nurses-using-the-graded-response-model?lang=pt-br -
NLM
Maia JM, Russo CM, Bazán Guzmán JL, Lesaffre E. Modeling burnout syndrome’s latent trait of nurses using the graded response model [Internet]. Proceedings. 2018 ;[citado 2024 jun. 05 ] Available from: https://proceedings.science/iii-ser-2018/papers/modeling-burnout-syndrome%E2%80%99s-latent-trait-of-nurses-using-the-graded-response-model?lang=pt-br -
Vancouver
Maia JM, Russo CM, Bazán Guzmán JL, Lesaffre E. Modeling burnout syndrome’s latent trait of nurses using the graded response model [Internet]. Proceedings. 2018 ;[citado 2024 jun. 05 ] Available from: https://proceedings.science/iii-ser-2018/papers/modeling-burnout-syndrome%E2%80%99s-latent-trait-of-nurses-using-the-graded-response-model?lang=pt-br - Análise de regressão aplicada a dados educacionais: uma abordagem multinível
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