TAPS calculates weights to make survey results generalizable to the U.S. population of English-speaking adults. Investigators will receive these weights as variables in delivered data files.

Adjustments are made to compensate for (a) selection probabilities altered by the stratified sample design and (b) within household selection probabilities associated with the random choice of a panel member from among all eligible adults residing in the household. These adjustments constitute the base weight that corrects the sample to approximate a simple random sample of the population of adults.

The following weight, *w*1* _{i|k}*, for mailing addresses

*i*within stratum

*k*is calculated as follows:

*w*1* _{i|k}* = (

*P*) (

_{i|k }/ P_{tot}*S*)

_{tot }/ S_{i|k}where

*P _{i|k}*is the population or frame count within stratum

*k,*

*P _{tot}* is the total population count from the frame,

*S _{i|k}* is the sample count within stratum

*k,*and

*S _{tot }* is the total recruited sample size.

We also adjust for the selection probability of the randomly selected adult within households. To adjust for this, we weight each selected respondent, *r*, by the inverse of the number of eligible adults, *A*, ages 18 and older, enumerated as residing in household, *h, *and call this* w*2* _{r|h }*and calculate as follows:

*w*2* _{r|h }= A_{h} / *1

The base weight is the product of *w*1* _{i|k }*and

*w*2

*.[1]*

_{r|h}The TAPS director can provide an estimate of design effects upon request. Investigators may choose to use the estimated design effect to adjust standard errors in statistical estimates.

[1] An additional adjustment will be made for our follow-up efforts to recruit panelists by telephone after an initial nonresponse. Households recruited based on the telephone follow-up may over-represent addresses in the sample with a successful telephone match. Based on the natural match rate in the sample, recruited households from the telephone recruitment will be weighted downward appropriately.