Items where Author is "Cagnone, Silvia"

Article

Guastadisegni, Lucia, Cagnone, Silvia, Moustaki, Irini ORCID: 0000-0001-8371-1251 and Vasdekis, Vassilis (2024) The generalized Hausman test for detecting non-normality in the latent variable distribution of the two-parameter IRT model. British Journal of Mathematical and Statistical Psychology. ISSN 0007-1102

Guastadisegni, Lucia, Cagnone, Silvia, Moustaki, Irini ORCID: 0000-0001-8371-1251 and Vasdekis, Vassilis (2022) Use of the Lagrange multiplier test for assessing measurement invariance under model misspecification. Educational and Psychological Measurement, 82 (2). 254 - 280. ISSN 0013-1644

Vasdekis, Vassilis G. S., Cagnone, Silvia and Moustaki, Irini ORCID: 0000-0001-8371-1251 (2012) A composite likelihood inference in latent variable models for ordinal longitudinal responses. Psychometrika, 77 (3). pp. 425-441. ISSN 0033-3123

Cagnone, Silvia, Moustaki, Irini ORCID: 0000-0001-8371-1251 and Vasdekis, Vassilis (2009) Latent variable models for multivariate longitudinal ordinal responses. British Journal of Mathematical and Statistical Psychology, 62 (2). pp. 401-415. ISSN 0007-1102

Book Section

Guastadisegni, Lucia, Moustaki, Irini ORCID: 0000-0001-8371-1251, Vasdekis, Vassilis and Cagnone, Silvia (2023) Detecting latent variable non-normality through the generalized Hausman test. In: Wiberg, Marie, Molenaar, Dylan, González, Jorge, Kim, Jee-Seon and Hwang, Heungsun, (eds.) Quantitative Psychology - The 87th Annual Meeting of the Psychometric Society, 2022. Springer Proceedings in Mathematics and Statistics. Springer Netherlands, pp. 107-118. ISBN 9783031277801

Guastadisegni, Lucia, Cagnone, Silvia, Moustaki, Irini ORCID: 0000-0001-8371-1251 and Vasdekis, Vassilis (2021) The asymptotic power of the Lagrange multiplier tests for misspecified IRT models. In: Wiberg, Marie, Molenaar, Dylan, González, Jorge, Böckenholt, Ulf and Kim, Jee-Seon, (eds.) Quantitative Psychology: The 85th Annual Meeting of the Psychometric Society, Virtual. Springer Proceedings in Mathematics and Statistics. Springer Berlin / Heidelberg, Virtual, Online, 275 - 284. ISBN 9783030747718