Weight factors

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 This has been replaced by methods which enable you to calculate your own estimates.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: https://www.ibm.com/support/knowledgecenter/en/SSLVMB_24.0.0/spss/base/idh_weig.html
  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., Thomése, 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)

Date of last update: November 26, 2019