General variables

Weight factors

Contact: Dorly Deeg

Previously, data files (LASA005) were used to indicate the possible weight factors in the LASA-cohorts. This has been replaced by methods which enable you to calculate your own estimates.

You can weight your sample for two different reasons:

  1. To get descriptive estimates that are representative of the population of the Netherlands in a specific year; this is termed ‘external weighting’ (>>SPPS-setup, in PDF-format).
  2. To compare LASA-waves or LASA-cohorts with one another, for example when estimating trends over time; this is termed ‘internal weighting’ (>>SPSS-setup, in PDF-format).

References 'External weighting'

  1. IBM Knowledge Center:
  2. Statistics Netherlands: Dutch-population-by-sex-and-5-year-age-group (Annexed Excel-sheet converted to PDF, the numbers in yellow refer to the example used in the SPSS-setup)


References 'Internal weighting'

  1. Reinders, I., Van Schoor, N.M., Deeg, D.J.H., Huisman, M., Visser, M. (2018). Trends in lifestyle among three cohorts of adults aged 55-64 years in 1992/1993, 2002/2003 and 2012/2013.
  2. Timmermans, E.J., Hoogendijk, E.O., Broese van Groenou, M.I., Comijs, H.C., Van Schoor, N.M., Thom├ęse, F.C.F., Visser, M., Deeg, D.J.H, Huisman, M. (2018). Trends across 20 years in multiple indicators of functioning among older adults in the Netherlands. (doi:10.1093/eurpub/ckz065)