In the second step, adjustment weighting was conducted to adjust the deviations of the design weighted net sample of the KiGGS from the population structure (31.12.2004) considering age, gender, region (East vs. West Germany) and nationality (German vs. not German) [ 22].
This means that things, like having high tolerances and monitoring the behaviour of materials (to adjust for deviations), are very important.
To adjust the deviations of the markers positions, two steps of calibration must be carried out: scaled (see Fig. 2a) and coordinate transformations (see Fig. 2c).
Subsequently, the sample population can then be compared, for example, with Microcensus data to retrospectively check the representativeness of the sample, and weighting procedures can be used post hoc to adjust for deviations.
That is, they did not adjust for deviations following randomisation.
A weighting factor was used to adjust for deviations of demographic characteristics between the survey population and official population statistics (as of 31th December 2004) [ 30].
A weighting factor was computed and used to adjust for deviations in demographic characteristics (age, sex, residence in west or east Germany and level of urbanicity) between the survey population and official population statistics.
b show adjusted mean deviations from spouses of persons without somatic illness in standard deviation units.
The coefficients show adjusted mean deviations from spouses of persons without mental disorder in fractions of a standard deviation, p < 0.001 for all coefficients.
A weighting factor was computed from survey-specific weighting factors adjusting for deviations in demographic characteristics (age, sex, residence in West or East Germany and level of urbanity) between the study populations and official population statistics at the time of the specific surveys [ 28, 34] as well as at a point in time (2003) that served as a common standard for both surveys.
This factor adjusted for deviations in main demographic characteristics between the study populations and official population statistics at the time of the specific surveys (1997 1999 and 2003 2004 respectively); in addition the factor integrated a comparison with 2003 population statistics as a common standard for both surveys.
