Moustaki, Irini

Number of items: 77.
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  • Vitoratou, Silia, Ntzoufras, Ioannis, Moustaki, Irini (2014). Marginal likelihood estimation from the Metropolis output: tips and tricks for efficient implementation in generalized linear latent variable models. Journal of Statistical Computation and Simulation, 84(10), 2091-2105. https://doi.org/10.1080/00949655.2013.783580
  • Moustaki, Irini, Knott, Martin (2014). Latent variable models that account for atypical responses. Journal of the Royal Statistical Society. Series C: Applied Statistics, 63(2), 343-360. https://doi.org/10.1111/rssc.12032
  • Anagnostopoulos, Fotios, Yfantopoulos, John, Moustaki, Irini, Niakas, Dimitris (2013). Psychometric and factor analytic evaluation of the 15D health-related quality of life instrument: the case of Greece. Quality of Life Research, 22(8), 1973-1986. https://doi.org/10.1007/s11136-013-0348-2
  • Vasdekis, Vassilis G. S., Cagnone, Silvia, Moustaki, Irini (2012). A composite likelihood inference in latent variable models for ordinal longitudinal responses. Psychometrika, 77(3), 425-441. https://doi.org/10.1007/s11336-012-9264-6
  • Bartholomew, David J., Knott, Martin, Moustaki, Irini (2011). Latent variable models and factor analysis: a unified approach. John Wiley & Sons.
  • Mavridis, Dimitris, Moustaki, Irini (2009). The forward search algorithm for detecting aberrant response patterns in factor analysis for binary data. Journal of Computational and Graphical Statistics, 18(4), 1016-1034. https://doi.org/10.1198/jcgs.2009.08060
  • Cagnone, Silvia, Moustaki, Irini, Vasdekis, Vassilis (2009). Latent variable models for multivariate longitudinal ordinal responses. British Journal of Mathematical and Statistical Psychology, 62(2), 401-415. https://doi.org/10.1348/000711008X320134
  • Rizopoulos, Dimitris, Moustaki, Irini (2008). Generalized latent variables models with non-linear effects. British Journal of Mathematical and Statistical Psychology, 61(2), 415-438. https://doi.org/10.1348/000711007X213963
  • Mavridis, Dimitris, Moustaki, Irini (2008). Detecting outliers in factor analysis using the forward search algorithm. Multivariate Behavioral Research, 43(3), 453-475. https://doi.org/10.1080/00273170802285909
  • Bartholomew, David J., Steele, Fiona, Galbraith, J, Moustaki, Irini (2008). Analysis of multivariate social science data. CRC Press.
  • Moustaki, Irini (2007). Factor analysis and latent structure of categorical and metric data. In Cudeck, R. & MacCallum, R. C. (Eds.), Factor Analysis at 100: Historical Developments and Future Directions (pp. 293-314). Erlbaum.
  • Mavridis, D, Moustaki, Irini, Knott, Martin (2007). Goodness-of-fit measures for latent variable models for binary data. In Lee, S. (Ed.), Handbook for Latent Variable and Related Models (pp. 135-162). Elsevier (Firm).
  • Bock, R. Darrell, Moustaki, Irini (2007). Item response theory in a general framework. In Rao, C. R. & Sinharay, S. (Eds.), Handbook of Statistics, Volume 26: Psychometrics (pp. 469-514). North-Holland.
  • Tsonaka, R, Moustaki, I (2007). Parameter constraints in generalized linear latent variable models. Computational Statistics and Data Analysis, 51(9), 4164-4177. https://doi.org/10.1016/j.csda.2006.04.023
  • Moustaki, I, Victoria-Feser, M. P (2006). Bounded-influence robust estimation in generalized linear latent variable models. Journal of the American Statistical Association, 104(474), 644-653.
  • Moustaki, Irini, Steele, Fiona (2005). Latent variable models for mixed categorical and survival responses with an application to fertility preferences and family planning in Bangladesh. Statistical Modelling, 5(4), 327-342. https://doi.org/10.1191/1471082X05st100oa
  • Moustaki, Irini, Knott, Martin (2005). Computational aspects of the E-M and Bayesian estimation in latent variable models. In Andries van der Ark, L., Croon, M. A. & Sijtsma, K. (Eds.), New Developments in Categorical Data Analysis for the Social and Behavioral Sciences (pp. 103-124). Lawrence Erlbaum.
  • Moustaki, Irini, Papageorgiou, Ioulia (2004). Latent class models for mixed outcomes with applications in archaeometry. Computational Statistics and Data Analysis, 48(3), 659-675. https://doi.org/10.1016/j.csda.2004.03.001
  • Moustaki, Irini, Joreskog, K, Mavridis, D (2004). Factor models for ordinal variables with covariate effects on the manifest and latent variables: a comparison of LISREL and IRT approaches. Structural Equation Modeling, 11(4), 487-513. https://doi.org/10.1207/s15328007sem1104_1
  • Moustaki, Irini (2003). A general class of latent variable models for ordinal manifest variables with covariate effects on the manifest and latent variables. British Journal of Mathematical and Statistical Psychology, 56(2), 337-357. https://doi.org/10.1348/000711003770480075
  • Marcoulides, George A., Moustaki, Irini (Eds.) (2003). Latent variable and latent structure models. Lawrence Erlbaum Associates.
  • Moustaki, Irini (2003). Latent variable models with covariates. In Kevork, K. E., Tzōrtzopoulos, P. & Panaretos, J. (Eds.), Stochastic Musings : Perspectives From the Pioneers of the Late 20th Century: a Volume in Celebration of the 13 Years of the Dep (pp. 117-128). Lawrence Erlbaum Associates.
  • Moustaki, Irini, Marcoulides, George. A (2002). Locating "don't know", "no answer" and middle alternatives on an attitude scale: a latent variable approach. In Marcoulides, G. & Moustaki, I. (Eds.), Latent Variable and Latent Structure Models (pp. 15-41). Lawrence Erlbaum Associates.
  • Moustaki, Irini (2002). Discussion of the paper by Fayers and Hand [Fayers, P. M. and Hand, D. J., Causal variables, indicator variables and measurement scales: an example from quality of life, Journal of the Royal Statistical Society, Series A, 2002:165(2), 233-261]. Journal of the Royal Statistical Society. Series A: Statistics in Society, 165(2), 258-259.
  • Galbraith, J. I., Bartholomew, David J., Moustaki, Irini, Steele, Fiona (2002). The analysis and interpretation of multivariate data for social scientists. CRC Press.
  • Jöreskog, Karl G., Moustaki, Irini (2001). Factor analysis of ordinal variables: a comparison of three approaches. Multivariate Behavioral Research, 36(3), 347-387. https://doi.org/10.1207/S15327906347-387
  • Moustaki, Irini, Knott, Martin (2000). Generalised latent trait models. Psychometrika, 65(3), 391-411. https://doi.org/10.1007/BF02296153
  • Moustaki, Irini (2000). A latent variable model for ordinal variables. Applied Psychological Measurement, 24(3), 211-223. https://doi.org/10.1177/01466210022031679
  • Moustaki, Irini, Knott, Martin (2000). Weighting for item non-response in attitude scales by using latent variable models with covariates. Journal of the Royal Statistical Society. Series A: Statistics in Society, 163(3), 445-459. https://doi.org/10.1111/1467-985X.00177
  • Moustaki, Irini, O'Muircheartaigh, C. (2000). A one dimension latent trait model to infer attitude from nonresponse for nominal data. Statistica, 60(2), 259-276.
  • Moustaki, Irini (2000). A review of exploratory factor analysis for ordinal categorical data. In Cudeck, R., Dunn, S. & Sorbom, D. (Eds.), Structural Equation Models: Present and Future (pp. 461-480). Scientific software international.
  • Moustaki, Irini, O'Muircheartaigh, C (1996-05-16 - 1996-05-19) Item non-response in attitude scales: a latent variable approach [Paper]. 51st Annual Conference of the American Association for Public Opinion Research, Utah, United States, USA.
  • Moustaki, Irini (1996). A latent trait and a latent class model for mixed observed variables. British Journal of Mathematical and Statistical Psychology, 49(2), 313-334. https://doi.org/10.1111/j.2044-8317.1996.tb01091.x
    • Public
  • Guastadisegni, Lucia, Cagnone, Silvia, Moustaki, Irini, Vasdekis, Vassilis (2025). 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, 78(3), 734 - 756. https://doi.org/10.1111/bmsp.12379 picture_as_pdf
  • Alfonzetti, Giuseppe, Bellio, Ruggero, Chen, Yunxiao, Moustaki, Irini (2025). When composite likelihood meets stochastic approximation. Journal of the American Statistical Association, 120(551), 1906 - 1918. https://doi.org/10.1080/01621459.2024.2436219 picture_as_pdf
  • Cardenas Hurtado, Camilo, Moustaki, Irini, Chen, Yunxiao, Marra, Giampiero (2025). Generalized latent variable models for location, scale, and shape parameters. Psychometrika, 90(3), 932 - 956. https://doi.org/10.1017/psy.2025.7 picture_as_pdf
  • Mignemi, Giuseppe, Chen, Yunxiao, Moustaki, Irini (2025). Unfolding the network of peer grades: a latent variable approach. Psychometrika, 90(3), 1153 - 1174. https://doi.org/10.1017/psy.2025.10021 picture_as_pdf
  • Jamil, Haziq, Moustaki, Irini, Skinner, Chris J. (2025). Pairwise likelihood estimation and limited-information goodness-of-fit test statistics for binary factor analysis models under complex survey sampling. British Journal of Mathematical and Statistical Psychology, 78(1), 258 - 285. https://doi.org/10.1111/bmsp.12358 picture_as_pdf
  • Alfonzetti, Giuseppe, Bellio, Ruggero, Chen, Yunxiao, Moustaki, Irini (2025). Pairwise stochastic approximation for confirmatory factor analysis of categorical data. British Journal of Mathematical and Statistical Psychology, 78(1), 22 - 43. https://doi.org/10.1111/bmsp.12347 picture_as_pdf
  • Mignemi, Giuseppe, Chen, Yunxiao, Moustaki, Irini (2025). Statistical analysis of peer grading: a latent variable approach. In Pollice, A. & Mariani, P. (Eds.), Methodological and Applied Statistics and Demography IV: SIS 2024, Short Papers, Contributed Sessions 2 (pp. 263 - 268). Springer. https://doi.org/10.1007/978-3-031-64447-4_45 picture_as_pdf
  • Wallin, Gabriel, Chen, Yunxiao, Moustaki, Irini (2024). DIF analysis with unknown groups and anchor items. Psychometrika, 89(1), 267 - 295. https://doi.org/10.1007/s11336-024-09948-7 picture_as_pdf
  • Vamvourellis, Konstantinos, Kalogeropoulos, Konstantinos, Moustaki, Irini (2023). Assessment of generalised Bayesian structural equation models for continuous and binary data. British Journal of Mathematical and Statistical Psychology, 76(3), 559 - 584. https://doi.org/10.1111/bmsp.12314 picture_as_pdf
  • Liu, Xinyi Lin, Wallin, Gabriel, Chen, Yunxiao, Moustaki, Irini (2023). Rotation to sparse loadings using Lp losses and related inference problems. Psychometrika, 88(2), 527 - 553. https://doi.org/10.1007/s11336-023-09911-y picture_as_pdf
  • Guastadisegni, Lucia, Moustaki, Irini, Vasdekis, Vassilis, Cagnone, Silvia (2023). Detecting latent variable non-normality through the generalized Hausman test. In Wiberg, M., Molenaar, D., González, J., Kim, J. & Hwang, H. (Eds.), Quantitative Psychology - The 87th Annual Meeting of the Psychometric Society, 2022 (pp. 107-118). Springer Netherlands. https://doi.org/10.1007/978-3-031-27781-8_10 picture_as_pdf
  • Mavridis, Dimitris, Nikolakopoulou, Adriani, Moustaki, Irini, Chaimani, Anna, Porcher, Raphaël, Boutron, Isabelle, Ravaud, Philippe (2023). Considering multiple outcomes with different weights informed the hierarchy of interventions in network meta-analysis. Journal of Clinical Epidemiology, 154, 188-196. https://doi.org/10.1016/j.jclinepi.2022.12.025 picture_as_pdf
  • Park, Jung Yeon, Wall, Melanie M, Moustaki, Irini, Grossman, Arnold (2022). A joint modeling approach for longitudinal outcomes and non-ignorable dropout under population heterogeneity in mental health studies. Journal of Applied Statistics, 49(13), 3361-3376. https://doi.org/10.1080/02664763.2021.1945000 picture_as_pdf
  • Chen, Yunxiao, Lu, Yan, Moustaki, Irini (2022). Detection of two-way outliers in multivariate data and application to cheating detection in educational tests. Annals of Applied Statistics, 16(3), 1718 - 1746. https://doi.org/10.1214/21-AOAS1564 picture_as_pdf
  • Guastadisegni, Lucia, Cagnone, Silvia, Moustaki, Irini, Vasdekis, Vassilis (2022). Use of the Lagrange multiplier test for assessing measurement invariance under model misspecification. Educational and Psychological Measurement, 82(2), 254 - 280. https://doi.org/10.1177/00131644211020355 picture_as_pdf
  • Christensen, William F., Wall, Melanie M., Moustaki, Irini (2022). Assessing dimensionality in dichotomous items when many subjects have all-zero responses: an example from psychiatry and a solution using mixture models. Applied Psychological Measurement, 46(3), 167-184. https://doi.org/10.1177/01466216211066602 picture_as_pdf
  • Katsikatsou, Myrsini, Moustaki, Irini, Md Jamil, Haziq (2022). Pairwise likelihood estimation for confirmatory factor analysis models with categorical variables and data that are missing at random. British Journal of Mathematical and Statistical Psychology, 75(1), 23 - 45. https://doi.org/10.1111/bmsp.12243 picture_as_pdf
  • Petropoulou, Maria, Salanti, Georgia, Rücker, Gerta, Schwarzer, Guido, Moustaki, Irini, Mavridis, Dimitris (2021). A forward search algorithm for detecting extreme study effects in network meta-analysis. Statistics in Medicine, 40(25), 5642 - 5656. https://doi.org/10.1002/sim.9145 picture_as_pdf
  • Burchardt, Tania, Steele, Fiona, Grundy, Emily, Karagiannaki, Eleni, Kuha, Jouni, Moustaki, Irini, Skinner, Chris, Zhang, Nina, Zhang, Siliang (2021). Welfare within families beyond households: intergenerational exchanges of practical and financial support in the UK. LSE Public Policy Review, 2(1). https://doi.org/10.31389/lseppr.41 picture_as_pdf
  • Tsokani, Sofia, Antoniou, Stavros A., Moustaki, Irini, López-Cano, Manuel, Antoniou, George A., Flórez, Ivan D., Silecchia, Gianfranco, Markar, Sheraz, Stefanidis, Dimitrios & Zanninotto, Giovanni et al (2021). Guideline assessment project II: statistical calibration informed the development of an AGREE II extension for surgical guidelines. Surgical Endoscopy, 35(8), 4061 – 4068. https://doi.org/10.1007/s00464-021-08604-w picture_as_pdf
  • Guastadisegni, Lucia, Cagnone, Silvia, Moustaki, Irini, Vasdekis, Vassilis (2021). The asymptotic power of the Lagrange multiplier tests for misspecified IRT models. In Wiberg, M., Molenaar, D., González, J., Böckenholt, U. & Kim, J. (Eds.), Quantitative Psychology: The 85th Annual Meeting of the Psychometric Society, Virtual (pp. 275 - 284). Springer Berlin / Heidelberg. https://doi.org/10.1007/978-3-030-74772-5_25 picture_as_pdf
  • Geminiani, Elena, Marra, Giampiero, Moustaki, Irini (2021). Single and multiple-group penalized factor analysis: a trust-region algorithm approach with integrated automatic multiple tuning parameter selection. Psychometrika, 86(1), 65 - 95. https://doi.org/10.1007/s11336-021-09751-8 picture_as_pdf
  • Koukounari, Artemis, Md Jamil, Haziq, Erosheva, Elena, Shiff, Clive, Moustaki, Irini (2021). Latent class analysis: insights about design and analysis of schistosomiasis diagnostic studies. PLoS Neglected Tropical Diseases, 15(2). https://doi.org/10.1371/journal.pntd.0009042 picture_as_pdf
  • Chen, Yunxiao, Moustaki, Irini, Zhang, H (2020). A note on likelihood ratio tests for models with latent variables. Psychometrika, 85(4), 996 - 1012. https://doi.org/10.1007/s11336-020-09735-0 picture_as_pdf
  • Liu, Dungang, Li, Shaobo, Yu, Yan, Moustaki, Irini (2020). Assessing partial association between ordinal variables: quantification, visualization, and hypothesis testing. Journal of the American Statistical Association, 0(0), 1 - 14. https://doi.org/10.1080/01621459.2020.1796394 picture_as_pdf
  • Zhu, Yajing, Steele, Fiona, Moustaki, Irini (2020). A multilevel structural equation model for the interrelationships between multiple latent dimensions of childhood socio‐economic circumstances, partnership transitions and mid‐life health. Journal of the Royal Statistical Society. Series A: Statistics in Society, 183(3), 1029 - 1050. https://doi.org/10.1111/rssa.12554 picture_as_pdf
  • Papageorgiou, Ioulia, Moustaki, Irini (2019). Sampling of pairs in pairwise likelihood estimation for latent variable models with categorical observed variables. Statistics and Computing, 29(2), 351-365. https://doi.org/10.1007/s11222-018-9812-8
  • Kuha, Jouni, Katsikatsou, Myrsini, Moustaki, Irini (2018). Latent variable modelling with non-ignorable item nonresponse: multigroup response propensity models for cross-national analysis. Journal of the Royal Statistical Society. Series A: Statistics in Society, 181(4), 1169-1192. https://doi.org/10.1111/rssa.12350
  • Jin, Shaobo, Moustaki, Irini, Yang-Wallentin, Fan (2018). Approximated penalized maximum likelihood for exploratory factor analysis: an orthogonal case. Psychometrika, 83(3), 628-649. https://doi.org/10.1007%2Fs11336-018-9623-z
  • Zhu, Yajing, Steele, Fiona, Moustaki, Irini (2017). A general 3-step maximum likelihood approach to estimate the effects of multiple latent categorical variables on a distal outcome. Structural Equation Modeling, 24(5), 643-656. https://doi.org/10.1080/10705511.2017.1324310
  • Mavridis, Dimitris, Moustaki, Irini, Wall, Melanie, Salanti, Georgia (2017). Detecting outlying studies in meta-regression models using a forward search algorithm. Research Synthesis Methods, 8(2), 199-211. https://doi.org/10.1002/jrsm.1197
  • Vaidakis, Dennis, Moustaki, Irini, Zervas, Ioannis, Barbouni, Anastasia, Merakou, Kyriaki, Chrysi, Maria, Creatsa, George, Panoskaltsis, Theodoros (2017). Knowledge of Greek adolescents on human papilloma virus (HPV) and vaccination: A national epidemiologic study. Medicine, 96(1), e5287. https://doi.org/10.1097/MD.0000000000005287
  • Katsikatsou, Myrsini, Moustaki, Irini (2016). Pairwise likelihood ratio tests and model selection criteria for structural equation models with ordinal variables. Psychometrika, 81(4), 1046-1068. https://doi.org/10.1007/s11336-016-9523-z
  • Vitoratou, Silia, Ntzoufras, Ioannis, Moustaki, Irini (2016). Explaining the behavior of joint and marginal Monte Carlo estimators in latent variable models with independence assumptions. Statistics and Computing, 26(1), 333-348. https://doi.org/10.1007/s11222-014-9495-8
  • Kuha, Jouni, Moustaki, Irini (2015). Non-equivalence of measurement in latent variable modeling of multigroup data: a sensitivity analysis. Psychological Methods, 20(4), 523-536. https://doi.org/10.1037/met0000031
  • Hafez, Mai Sherif, Moustaki, Irini, Kuha, Jouni (2015). Analysis of multivariate longitudinal data subject to nonrandom dropout. Structural Equation Modeling, 22(2), 193-201. https://doi.org/10.1080/10705511.2014.936086
  • Vasdekis, Vassilis G. S., Rizopoulos, Dimitris, Moustaki, Irini (2014). Weighted pairwise likelihood estimation for a general class of random effects models. Biostatistics, 15(4), 677 - 689. https://doi.org/10.1093/biostatistics/kxu018
  • Koukounari, Artemis, Donnelly, Christl A., Moustaki, Irini, Tukahebwa, Edridah M., Kabatereine, Narcis B., Wilson, Shona, Webster, Joanne P., Deelder, André M., Vennervald, Birgitte J., van Dam, Govert J. (2013). A latent Markov modelling approach to the evaluation of circulating cathodic antigen strips for schistosomiasis diagnosis pre- and post-praziquantel treatment in Uganda. PLoS Computational Biology, 9(12), e1003402. https://doi.org/10.1371/journal.pcbi.1003402
  • Koukounari, Artemis, Moustaki, Irini, Grassly, Nicholas C., Blake, Isobel M., Basanez, Maria-Gloria, Gambhir, Manoj, Mabey, David, Bailey, Robin L., Burton, Matthew J. & Solomon, Anthony W. et al (2013). Using a nonparametric multilevel latent Markov model to evaluate diagnostics for trachoma. American Journal of Epidemiology, 177(9), 913-922. https://doi.org/10.1093/aje/kws345
  • Katsikatsou, Myrsini, Moustaki, Irini, Yang-Wallentin, Fan, Jöreskog, Karl G. (2012). Pairwise likelihood estimation for factor analysis models with ordinal data. Computational Statistics and Data Analysis, 56(12), 4243-4258. https://doi.org/10.1016/j.csda.2012.04.010
  • Ibironke, Olufunmilola, Koukounari, Artemis, Asaolu, Samuel, Moustaki, Irini, Shiff, Clive (2012). Validation of a new test for schistosoma haematobium based on detection of Dra1 DNA fragments in urine: evaluation through latent class analysis. PLoS Neglected Tropical Diseases, 6(1), e1464. https://doi.org/10.1371/journal.pntd.0001464
  • Moustaki, Irini (1996). Latent variable models for mixed manifest variables [Doctoral thesis]. London School of Economics and Political Science.
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  • Sterzinger, Philipp, Kosmidis, Ioannis, Moustaki, Irini (2026). Maximum softly penalised likelihood in factor analysis. Psychometrika, [In Press] picture_as_pdf
  • Wall, Melanie M, Park, Jung Yeon, Moustaki, Irini (2015). IRT modeling in the presence of zero-inflation with application to psychiatric disorderseverity. Applied Psychological Measurement, 39(8), 583-597. https://doi.org/10.1177/0146621615588184 picture_as_pdf