Questions about Weighting
Why are there 1,821 respondents without a Grand Sample Weight at Wave
I?
The following Wave I cases could not be weighted:
- cases added in the field
- cases selected as a pair (twins, half-sibs) where both were not interviewed
- cases without a sample flag
[top]
How do I correct for the design effects of the Add Health sampling process?
The paper "
Strategies to Perform a Design-Based Analysis Using the Add Health Data" discusses how to correct for design effects and the unequal probability of selection to ensure that your analysis results are nationally representative with unbiased estimates.
[top]
The paper "Strategies to Perform a Design-Based Analysis Using the Add Health Data" refers to variables from the Add Health restricted-use data. What variables from the public-use dataset should be used to correct for design effects?
|
Variables for Correcting for Design Effects in the Public-Use Dataset |
|
Design Type = With Replacement |
|
Unit = Adolescent |
|
Wave I
N = 6504
|
Wave II
N = 4834*
|
|
Strata Variable
|
--------- #
|
--------- #
|
|
Cluster Variable
|
MEX50197
|
MEX50197
|
|
Weight Variable
|
GSWGT1
|
GSWGT2
|
|
# With Weights
|
6504
|
4834
|
|
# Missing Weights
|
0
|
0
|
|
Mean of Weights
|
3422.6630
|
3892.7001
|
|
Sum of Weights
|
22261000.000
|
18817312.465
|
|
Minimum Weight Value
|
256.0588
|
282.4469
|
|
Maximum Weight Value
|
1835.4864
|
21107.1003
|
* These numbers are based on individual datasets, not combined datasets.
# A strata variable is not available; not using a strata variable only
minimally affects the standard errors.
[top]
