The table below presents statistics about response in NCDS at every major sweep from birth.
Of the 17,415 cohort members who participated in the first sweep, 4,497 (25.8%) have participated in all 11 major sweeps.
Of all 18,558 cohort members, 11,232 (60.5%) have taken part in seven or more sweeps.
Total cohort | Dead | Emigrants | Eligible sample | Participants | (% of eligible sample) | |
Birth – 1958 | 17638 | 0 | 0 | 17638 | 17415 | 98.7 |
Age 7 – 1965 | 18016a | 821 | 475 | 16720 | 15425 | 92.3 |
Age 11 – 1969 | 18287a | 840 | 701 | 16746 | 15337 | 91.6 |
Age 16 – 1974 | 18558a | 873 | 799 | 16886 | 14654 | 86.8 |
Age 23 – 1981 | 18558 | 960 | 1196 | 16402 | 12357 | 75.3 |
Age 33 – 1991 | 18558 | 1049 | 1335 | 16174 | 11469 | 70.9 |
Age 42 – 2000 | 18558 | 1199 | 1268 | 16091 | 11419 | 71.0 |
Age 44 – 2002 | 18558 | 1321 | 1234 | 16003 | 9377 | 58.6 |
Age 46 – 2004 | 18558 | 1323 | 1272 | 15963 | 9534 | 59.7 |
Age 50 – 2008 | 18558 | 1459 | 1293 | 15806 | 9790 | 61.9 |
Age 55 – 2013 | 18558 | 1659 | 1286 | 15613 | 9137 | 58.5 |
a The original sample was supplemented by migrants born in 1958
We have used a systematic data-driven approach to identify variables that are important predictors of non-response at each NCDS sweep.
A list of these variables is provided in the appendix of the Handling missing data in the CLS cohort studies user guide.
These variables can then be considered for inclusion in analyses – for example as auxiliary variable when using multiple imputation – in order to maximise the plausibility of the missing at random (MAR) assumption.
Read more about the process in the article: Missing at random assumption made more plausible: evidence from the 1958 British birth cohort.
We have been able to restore the composition of the NCDS samples at ages 50 and 55 to be representative of the study’s target population. We did this by including predictors of non-response at age 50 and age 55 as auxiliary variables in multiple imputation analyses.
For example, we were able to replicate:
Figure 1: Social class of mother’s husband at birth before and after adjustment for missing data
The imputation phase of this analysis included predictors of non-response at age 55 and social class at birth only for cohort members that participated at age 55.
Figure 2: Percentage of those with degree or equivalent at age 50 in the Annual Population Survey and NCDS before and after adjustment for missing data.
APS GB: Annual Population Survey = Born in Great Britain in 1958, derived by the Office for National Statistics (ONS)
APS All: Annual Population Survey = Born in Great Britain or elsewhere in 1958 (derived by ONS)
NCDS50 MI: Estimate after multiple imputation using predictors of educational attainment at age 50 and predictors of non-response at age 50 as auxiliary variables.
Find out more about the approaches that CLS recommends for the handling of missing data, and resources available, on the Handling missing data page.