Irini Moustaki

   Associate Professor

       Department of Statistics

                                Athens University of Economics and Business

Books

  1. Latent Variable and Latent Structure Models (2002). Edited by G. Marcoulides and I. Moustaki. Lawrence Erlbaum Associates, Inc.

  2. Analysis and Interpretation of Multivariate Data for Social Scientists (2002), with D.J Bartholomew, F. Steele, J. Galbraith.Chapman and Hall/CRC.

Published Articles

  1. Moustaki, I. (1996). A latent trait and a latent class model for mixed observed variables. British Journal of Mathematical and Statistical Psychology,  49(2), 313-334.

  2. O'Muircheartaigh, C. and Moustaki, I. (1999). Symmetric pattern models: a latent variable approach to item non-response in attitude scales. Journal of the Royal Statistical Society, Series A.,  Vol. 162(2) 177-194. PDF file

  3. Moustaki, I. and Knott, M. (2000). Generalised Latent Trait Models. Psychometrika, Vol. 65 (3), 391-411. PDF file

  4. Moustaki, I. (2000). A Latent Variable Model for Ordinal Variables. Applied Psychological Measurement,  Vol.24(3) 211-223.

  5. Moustaki, I. and O'Muircheartaigh, C. (2000). A one dimensional latent trait model to infer attitude from nonresponse for nominal data, STATISTICA, 259-276.

  6. Moustaki, I. and Knott, M. (2000). Weighting for Item Non-Response in Attitude Scales Using Latent Variable Models with Covariates. Journal of the Royal Statistical Society, Series A,  Vol. 163(3), 445- 459. PDF file

  7. Joreskog, K. and Moustaki, I. (2001). Factor Analysis for Ordinal Variables: a Comparison of three approaches. Multivariate Behavioural Research, Vol. 36, 347-387. PDF file

  8. Moustaki, I. (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, Vol. 56, 337-357. PDF file

  9. Moustaki, I. and Joreskog, K. and 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 Journal, Vol. 11(4), 487-513.PDF file

  10. Moustaki, I. and Papageorgiou, I. (2005) Latent class models for mixed outcomes with applications in Archaeometry. Computational Statistics and Data Analysis, Vol. 48(3), 659-675 PDF file

  11. Moustaki, I. and Steele, F. (2005). Latent Variable Models for Mixed Categorical and Survival Responses, with an Application to Fertility Preferences and Family Planning in Bangladesh. Statistical  Modelling, Vol. 5, 327-342.

  12. Moustaki, I. and Victoria-Feser, M.-P. (2006) Bounded-influence robust estimation in generalized linear latent variable models. Journal of the American Statistical Association, Vol. 101, No. 474, 644-653.

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  13.  Tsonaka, R. and Moustaki, I. (2007) Parameter constraints in generalized linear latent variable models. Computational Statistics and Data Analysis, Vol. 51, 4164-4177.

  14. Rizopoulos, D. and Moustaki, I. (To appear) Generalized latent variable models with non-linear effects. British Journal of Mathematical and Statistical Psychology.

     

     

     

Articles in Proceedings

  • Moustaki, I. and O'Muircheartaigh, C.  Item non-response in attitude scales: a latent variable approach. 1996 Proceedings of the American Statistical Association,  Section of Survey Research Methods, 1997, 938-943.

Contributions in Discussion of Papers

  • 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, Vol. 165(2) pp. 233-261. Contribution to the discussion.

 

Chapters in Books

  1. Moustaki, I. (2000).A Review of Exploratory Factor Analysis for Ordinal Categorical Data, in Structural Equation Models: Present and Future edited by R. Cudeck, S. du Toit and D. Sorbom. Scientific Software International, 461-480.

  2. Moustaki, I. and O’Muircheartaigh, C. (2002) Locating ‘don't know’, ‘no answer’ and middle alternatives on an   attitude scale: a latent variable approach, in Latent Variable and Latent Structure Models edited by G. Marcoulides and I. Moustaki, Lawrence Erlbaum, pp 15-41.

  3. Moustaki, I. (2003). Latent variable models with covariates in Stochastic Musings:Perspectives from the Pioneers of the Late 20th Century edited by J. Panaretos. Lawrence Erlbaum,pp. 103-124.

  4. Moustaki, I. and Knott, M. (2004). Computational aspects of the E-M and Bayesian estimation in latent variable models in New Developments in Categorical Data Analysis for the Social and Behavioral Sciences edited by A. van der Ark, M. Croon and K. Sijtsma. Lawrence Erlbaum

  5. Bock, R.D. and Moustaki, I. (2007). Item response theory in a general framework in Handbook of Statistics, Vol. 26, edited by C. R. Rao and . Elsevier.

  6. Moustaki, I. (2007) Factor Analysis and Latent Structure of Categorical and Metric Data in Factor analysis at 100: Historical developments and future directions. Cudeck, R., and  MacCallum, R. C. (Eds.). Mahwah, NJ: Erlbaum.

  7. Mavridis, D., Moustaki, I. and Knott, M. (2007) Goodness-of-Fit measures for Latent Variable Models for Binary data. Edited by Sik-Yum Lee. Elsevier.

Other Publications

  • (with D. Bartholomew and C. Phillips) Higher Education Pay and Prices Index (HEPPI). Universities, U.K., London, biennial May 1999-2003.

  • (with C. Phillips and H. Wynn) Higher Education Pay and Prices Index (HEPPI). Universities U.K., London, biennial May 2003-until now.

          http://www.universitiesuk.ac.uk/statistics/heppi/jan2006.asp