Identifying patterns of item missing survey data using latent groups: an observational study.

ABSTRACT: OBJECTIVES:To examine whether respondents to a survey of health and physical activity and potential determinants could be grouped according to the questions they missed, known as 'item missing'. DESIGN:Observational study of longitudinal data. SETTING:Residents of Brisbane, Australia. PARTICIPANTS:6901 people aged 40-65 years in 2007. MATERIALS AND METHODS:We used a latent class model with a mixture of multinomial distributions and chose the number of classes using the Bayesian information criterion. We used logistic regression to examine if participants' characteristics were associated with their modal latent class. We used logistic regression to examine whether the amount of item missing in a survey predicted wave missing in the following survey. RESULTS:Four per cent of participants mis

SUBMITTER: Barnett AG 

PROVIDER: S-EPMC5665304 | biostudies-literature | 2017 Oct

REPOSITORIES: biostudies-literature