Longitudinal Analysis of the Strengths and Difficulties Questionnaire Scores of the Millennium Cohort Study Children in England Using M-Quantile Random-Effects Regression. (1st July 2015)

• Record Type: Journal Article
• Authors: Tzavidis, Nikos; Salvati, Nicola; Schmid, Timo; Flouri, Eirini; Midouhas, Emily
• Is Part Of: Journal of the Royal Statistical Society. Volume 179:Number 2(2016:Apr.)
• Page Start: 427
• Page End: 452
• Publication Date: 2015-07-01
• Subjects: Influence function -- Multilevel modelling -- Quantile regression -- Repeated measures -- Robust estimation; Social sciences -- Statistical methods -- Periodicals; Statistics -- Periodicals; 300.15195
• DOI: 10.1111/rssa.12126
• Languages: English
• ISSNs: 0964-1998

Abstract

Summary: Multilevel modelling is a popular approach for longitudinal data analysis. Statistical models conventionally target a parameter at the centre of a distribution. However, when the distribution of the data is asymmetric, modelling other location parameters, e.g. percentiles, may be more informative. We present a new approach, M -quantile random-effects regression, for modelling multilevel data. The proposed method is used for modelling location parameters of the distribution of the strengths and difficulties questionnaire scores of children in England who participate in the Millennium Cohort Study. Quantile mixed models are also considered. The analyses offer insights to child psychologists about the differential effects of risk factors on children's outcomes.