Please see my CV for more detailed information.
1. Bakk, Z. and Kuha, J. (2017). Two-step estimation of models between latent classes and external variables. Under review.
2. Kuha, J. and Mills, C. (2017). On group comparisons with logistic regression models. Under review.
3. Kuha, J., Katsikatsou, M., and Moustaki, I. (2017). Latent variable modelling with non-ignorable item nonresponse: Multigroup response propensity models for cross-national analysis. Under review.
4. Kuha, J., Butt, S., Katsikatsou, M., and Skinner, C. J. (2017). The effect of probing “Don't Know” responses on measurement quality and nonresponse in surveys. To appear in Journal of the American Statistical Association.
5. Bukodi, E., Goldthorpe, J. H. and Kuha, J. (2017). The pattern of social fluidity within the British class structure: A topological model. To appear in Journal of the Royal Statistical Society, Series A.
6. Ding, Y. Y., Kuha, J., and Murphy, M. (2017). Multidimensional predictors of physical frailty in older people: Identifying how and for whom they exert their effects. Biogerontology, 18, 237-252..
7. Reader, T. W., Lopes, C., Kuha. J., and Mearns, K. (2017). Organizational support for workforce health and employee safety citizenship behaviors: A social exchange relationship. Human Relations, 70, 362-385.
8. Sturgis, P., Baker, N., Callegaro, M., Fisher, S., Green, J., Jennings, W., Kuha, J., Lauderdale, B., and Smith, P. (2016). Report of the Inquiry into the 2015 British General Election Opinion Polls (see also here for a shorter but slightly more technical version).
9. Kuha, J. and Moustaki, I. (2015). Non-equivalence of measurement in latent variable modeling of multigroup data: A sensitivity analysis. Psychological Methods, 20, 523-536.
10. Hafez, M. S., Moustaki, I., and Kuha, J. (2015). Analysis of multivariate longitudinal data subject to nonrandom dropout. Structural Equation Modeling, 22, 193-201.
11. Bukodi, E., Goldthorpe, J. H., Waller, L., and Kuha, J. (2015). The mobility problem in Britain: New findings from the analysis of birth cohort data. British Journal of Sociology, 66, 93-117.
12. Jackson, J. and Kuha, J. (2014). Worry about crime in a cross-national context: A model-supported method of measurement using the European Social Survey Data. Survey Research Methods, 8, 109-126.
13. Sturgis, P., Brunton-Smith, I., Jackson, J., and Kuha, J. (2014). Ethnic diversity, segregation, and the social cohesion of neighbourhoods in London. Ethnic and Racial Studies, 37, 1286-1309.
14. Kuha, J. and Jackson, J. (2014). The item count method for sensitive survey questions: Modelling criminal behavior. Journal of the Royal Statistical Society, Series C (Applied Statistics), 63, 321-341.
15. Skrondal, A. and Kuha, J. (2012). Improved regression calibration. Psychometrika, 77, 649-669.
16. Jackson, J., Bradford, B., Hough, M., Kuha, J., Stares, S., Widdop, S., Fitzgerald, R., Yordanova, M., and Galev, T. (2011). Developing European indicators of trust in justice. European Journal of Criminology, 8, 267-285.
17. Curtice, J., Fisher, S. D., and Kuha, J. (2011). Confounding the commentators: How the 2010 exit poll got it (more or less) right. Journal of Elections, Public Opinion & Parties, 21, 211-235.
18. Kuha, J. and Firth, D. (2011). On the index of dissimilarity for lack of fit in loglinear and log-multiplicative models. Computational Statistics and Data Analysis, 55, 375-388.
19. Kuha, J. and Goldthorpe, J. H. (2010). Path analysis for discrete variables: The role of education in social mobility. Journal of the Royal Statistical Society, Series A, 173, 351-369.
20. Akritas, M. G., Antoniou, E. S., and Kuha, J. (2006). Nonparametric analysis of factorial designs with random missingness: Bivariate data. Journal of the American Statistical Association, 101, 1513-1526.
21. Kuha, J. (2004). AIC and BIC: comparisons of assumptions and performance. Sociological Methods & Research, 33, 188-229. (See also publisher's errata for the print edition of the paper, in SMR, 33, 417 (2005).)
22. Kuha, J. and Temple, J. (2003). Covariate measurement error in quadratic regression. International Statistical Review, 71, 131-150.
23. Akritas, M. G., Kuha, J. and Osgood, D. W. (2002). A nonparametric approach to matched pairs with missing data. Sociological Methods & Research, 30, 425-454.
24. Kuha, J., Skinner, C., and Palmgren, J. (1998). Misclassification error. In P. Armitage and T. Colton (Eds.), Encyclopedia of Biostatistics, volume 4, pp. 2615-2621. New York: Wiley. Reprinted in M. Gail and J. Benichou (Eds.), Encyclopedia of Epidemiologic Methods, 2000. New York: Wiley.
25. Kuha, J. (1997). Estimation by data augmentation in regression models with continuous and discrete covariates measured with error. Statistics in Medicine, 16, 189-202.
26. Kuha, J. and Skinner, C. (1997). Categorical data analysis and misclassification. In L. Lyberg, P. Biemer, M. Collins, E. De Leeuw, C. Dippo, N. Schwarz, and D. Trewin (eds.), Survey Measurement and Process Quality, pp. 633-670. New York: Wiley.
27. Riihimäki, H., Viikari-Juntura, E., Moneta, G., Kuha, J., Videman, T., and Tola, S. (1994). Incidence of sciatic pain among men in machine operating, dynamic physical work, and sedentary work: A three-year follow-up. Spine, 19, 138-142.
28. Kuha, J. (1994). Corrections for exposure measurement error in logistic regression models with an application to nutritional data. Statistics in Medicine, 13, 1135-1148.
[Last edited: 22 May 2017]