Questionnaire Dwelling Unit-Level and Person Pair-Level Sampling ...
Questionnaire Dwelling Unit-Level and Person Pair-Level Sampling ...
Questionnaire Dwelling Unit-Level and Person Pair-Level Sampling ...
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B.1.1 <strong>Person</strong> <strong>Level</strong><br />
B.1.1.1 Receiving <strong>and</strong> Deriving <strong>Person</strong>-<strong>Level</strong> Poststratification Control Totals<br />
Civilian, noninstitutionalized population estimates for ages 12 or older were provided by<br />
the Population Estimates Branch of the U.S. Bureau of the Census. We received two files, one at<br />
the national level <strong>and</strong> the other at the State level, each containing estimates of the population<br />
broken down by levels of month (12 levels), Hispanicity (2), race (6), sex (2), <strong>and</strong> age (11).<br />
The breakdown received from the census did not match the levels of the domains that we<br />
wanted to control. To account for this, we collapsed levels. From this altered data, we created<br />
datasets with model group-specific control totals. Observations in these datasets corresponded to<br />
a breakdown by quarter (4), Hispanicity (2), race (5), sex (2), age (11), <strong>and</strong> number of States 26 in<br />
the model group (number of States varied according to which census region was represented in<br />
the model group).<br />
B.1.1.2 Adjusting SDU Data to the Control Totals<br />
In the person-level weighting, the SDU weights were poststratified to meet control totals<br />
based on the population estimates received from the census. For NSDUH weighting, GEM was<br />
utilized to calibrate sample weights to multiple control totals. In doing so, each SDU received an<br />
adjustment factor, which, when multiplied by the initial weight, produced a final weight. The<br />
sum of all final weights corresponded to the civilian, noninstitutionalized population estimate for<br />
ages 12 or older, <strong>and</strong> the sum of all final weights in a domain corresponded to the control total<br />
for that domain. Note that there were a number of controls being calibrated to for each SDU,<br />
depending upon the domains to which the SDU belonged. The adjusted SDU weight reflected the<br />
civilian, noninstitutionalized population estimates for ages 12 or older <strong>and</strong> could be utilized as a<br />
basis for constructing controls at the QDU <strong>and</strong> person pair levels.<br />
B.1.2 QDU <strong>Level</strong><br />
B.1.2.1 Deriving QDU-<strong>Level</strong> Poststratification Control Totals from Adjusted SDU Weights<br />
Since there were no controls for QDU-level poststratification available directly, we used<br />
the adjusted SDU weights. For these weights to be applicable at the QDU level, the SDU-level<br />
data had to be restructured by sorting <strong>and</strong> summing over the domains to be used in the QDUlevel<br />
calibration. This provided a dataset where the summed weight, which still added up to the<br />
proper population, was available for every domain to be utilized in the QDU calibration <strong>and</strong> thus<br />
could be used as a control total.<br />
26 The District of Columbia is included among States.<br />
B-4