Author:
Fabbricatore R.,Di Mari R.,Bakk Z.,de Rooij M.,Palumbo F.
Publisher
Springer Nature Switzerland
Reference15 articles.
1. Anderson, G., Farcomeni, A., Pittau, M. G., & Zelli, R. (2019). Rectangular latent markov models for time-specific clustering, with an analysis of the wellbeing of nations. Journal of the Royal Statistical Society: Series C (Applied Statistics), 68(3), 603–621.
2. Bacci, S., Bartolucci, F., & Gnaldi, M. (2014). A class of multidimensional latent class IRT models for ordinal polytomous item responses. Communications in Statistics-Theory and Methods, 43(4), 787–800.
3. Bartolucci, F. (2007). A class of multidimensional IRT models for testing unidimensionality and clustering items. Psychometrika, 72(2), 141–157.
4. Bartolucci, F., Bacci, S., & Gnaldi, M. (2014). MultiLCIRT: An R package for multidimensional latent class item response models. Computational Statistics & Data Analysis, 71, 971–985.
5. Bartolucci, F., Bacci, S., & Gnaldi, M. (2015). Statistical analysis of questionnaires: A unified approach based on R and stata (Vol. 34). CRC Press.