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UAS Weighting Archive
Here is the list of all previous UAS Weighting Procedures in chronological order, starting with the most recent. Click on a header to learn more about each specific version. Click on "Download PDF" to view the full description of each weighting procedure.
Recruitment batches: 1-25.
Sampling method: simple random sample, or adaptive sampling targeting zip codes, or adaptive sampling targeting households.
Weights: base weights account for unequal probabilities of sampling zip codes produced by the adaptive sampling algorithm and the probability of a household being sampled, conditional on its zip code being sampled. The raking factors used for post-stratification are:
Respondents with a weight of zero: non-Native Americans respondents in recruitment batches 2 and 3 and respondents in recruitment batch 4 (simple random sample of addresses listed on birth certificates issued in Los Angeles County in the years 2009-2012 in a limited set of zip codes).
Download PDF
Sampling method: simple random sample, or adaptive sampling targeting zip codes, or adaptive sampling targeting households.
Weights: base weights account for unequal probabilities of sampling zip codes produced by the adaptive sampling algorithm and the probability of a household being sampled, conditional on its zip code being sampled. The raking factors used for post-stratification are:
- Gender (male/female)
- Race/Ethnicity (white/black/other/hispanic)
- Age (18-39/40-49/50-59/60+)
- Education (high school or less/some college/ bachelor or more)
- Census Region (augmented) (Northeast/Midwest/South/West, excluding California/California, excluding Los Angeles County/Los Angeles County)
Respondents with a weight of zero: non-Native Americans respondents in recruitment batches 2 and 3 and respondents in recruitment batch 4 (simple random sample of addresses listed on birth certificates issued in Los Angeles County in the years 2009-2012 in a limited set of zip codes).
Download PDF
Recruitment batches: 1-20
Sampling method: simple random sample or adaptive sampling targeting zip codes.
Weights: base weights account for unequal probabilities of sampling zip codes produced by the adaptive sampling algorithm and the probability of a household being sampled, conditional on its zip code being sampled. The raking factors used for post-stratification are:
Respondents with a weight of zero: non-Native Americans respondents in recruitment batches 2 and 3 and respondents in recruitment batch 4 (simple random sample of addresses listed on birth certificates issued in Los Angeles County in the years 2009-2012 in a limited set of zip codes).
Download PDF
Sampling method: simple random sample or adaptive sampling targeting zip codes.
Weights: base weights account for unequal probabilities of sampling zip codes produced by the adaptive sampling algorithm and the probability of a household being sampled, conditional on its zip code being sampled. The raking factors used for post-stratification are:
- Gender (male/female)
- Race/Ethnicity (white/black/other/hispanic)
- Age (18-39/40-49/50-59/60+)
- Education (high school or less/some college/ bachelor or more)
- Census Region (augmented) (Northeast/Midwest/South/West, excluding California/California, excluding Los Angeles County/Los Angeles County)
Respondents with a weight of zero: non-Native Americans respondents in recruitment batches 2 and 3 and respondents in recruitment batch 4 (simple random sample of addresses listed on birth certificates issued in Los Angeles County in the years 2009-2012 in a limited set of zip codes).
Download PDF
Recruitment batches: 1-19
Sampling method: simple random sample or adaptive sampling targeting zip codes.
Weights: base weights account for unequal probabilities of sampling zip codes produced by the adaptive sampling algorithm and the probability of a household being sampled, conditional on its zip code being sampled. The raking factors used for post-stratification are:
Respondents with a weight of zero: non-Native Americans respondents in recruitment batches 2 and 3 and respondents in recruitment batch 4 (simple random sample of addresses listed on birth certificates issued in Los Angeles County in the years 2009-2012 in a limited set of zip codes).
Download PDF
Sampling method: simple random sample or adaptive sampling targeting zip codes.
Weights: base weights account for unequal probabilities of sampling zip codes produced by the adaptive sampling algorithm and the probability of a household being sampled, conditional on its zip code being sampled. The raking factors used for post-stratification are:
- Gender (male/female)
- Race/Ethnicity (white/black/other/hispanic)
- Age (18-39/40-49/50-59/60+)
- Education (high school or less/some college/ bachelor or more)
- Census Region (Northeast/Midwest/South/West)
- Native American (only for surveys including respondents from batches 2 and 3)
Respondents with a weight of zero: non-Native Americans respondents in recruitment batches 2 and 3 and respondents in recruitment batch 4 (simple random sample of addresses listed on birth certificates issued in Los Angeles County in the years 2009-2012 in a limited set of zip codes).
Download PDF
Recruitment batches: 1-17
Sampling method: simple random sample or adaptive sampling targeting zip codes.
Weights: base weights account for unequal probabilities of sampling zip codes produced by the adaptive sampling algorithm and the probability of a household being sampled, conditional on its zip code being sampled. The raking factors used for post-stratification are:
Respondents with a missing weight: UAS respondents in recruitment batch 4 (simple random sample of addresses listed on birth certificates issued in Los Angeles County in the years 2009-2012 in a limited set of zip codes).
Download PDF
Sampling method: simple random sample or adaptive sampling targeting zip codes.
Weights: base weights account for unequal probabilities of sampling zip codes produced by the adaptive sampling algorithm and the probability of a household being sampled, conditional on its zip code being sampled. The raking factors used for post-stratification are:
- Race/Ethnicity (white/black/other/hispanic)
- Gender (male/female) × Age (18-39/40-49/50-59/60+)
- Gender (male/female) × Education (high school or less/some college/assoc. college degree/bachelor/master, professional, doctorate degree)
- Household Size (1 member/2 or 3 members/4 or more members) × Household Income (<$35,000/$35,000-$74,999/$75,000+)
- Census Region (Northeast/Midwest/South/West)
- Urbanicity (Rural/Mixed/Urban)
Respondents with a missing weight: UAS respondents in recruitment batch 4 (simple random sample of addresses listed on birth certificates issued in Los Angeles County in the years 2009-2012 in a limited set of zip codes).
Download PDF
Recruitment batches: 1-16
Sampling method: simple random sample or adaptive sampling targeting zip codes.
Weights: base weights account for unequal probabilities of sampling zip codes produced by the adaptive sampling algorithm and the probability of a household being sampled, conditional on its zip code being sampled. The raking factors used for post-stratification are:
Respondents with a missing weight: UAS respondents in recruitment batches 2 and 3 (Native American batches), batch 4 (simple random sample of addresses listed on birth certificates issued in Los Angeles County in the years 2009-2012 in a limited set of zip codes), batches 13 and 14 (Los Angeles County batches), and batches 15 and 16 (California batches).
Download PDF
Sampling method: simple random sample or adaptive sampling targeting zip codes.
Weights: base weights account for unequal probabilities of sampling zip codes produced by the adaptive sampling algorithm and the probability of a household being sampled, conditional on its zip code being sampled. The raking factors used for post-stratification are:
- Race/Ethnicity (white/black/other/hispanic)
- Gender (male/female) × Age (18-39/40-49/50-59/60+)
- Gender (male/female) × Education (high school or less/some college/assoc. college degree/bachelor/master, professional, doctorate degree)
- Household Size (1 member/2 or 3 members/4 or more members) × Household Income (<$35,000/$35,000-$74,999/$75,000+)
- Census Region (Northeast/Midwest/South/West)
- Urbanicity (Rural/Mixed/Urban)
Respondents with a missing weight: UAS respondents in recruitment batches 2 and 3 (Native American batches), batch 4 (simple random sample of addresses listed on birth certificates issued in Los Angeles County in the years 2009-2012 in a limited set of zip codes), batches 13 and 14 (Los Angeles County batches), and batches 15 and 16 (California batches).
Download PDF
Recruitment batches: 1-14
Sampling method: simple random sample or adaptive sampling targeting zip codes.
Weights: base weights account for unequal probabilities of sampling zip codes produced by the adaptive sampling algorithm and the probability of a household being sampled, conditional on its zip code being sampled. The raking factors used for post-stratification are:
Respondents with a missing weight: UAS respondents in recruitment batch 4 (simple random sample of addresses listed on birth certificates issued in Los Angeles County in the years 2009-2012 in a limited set of zip codes).
Download PDF
Sampling method: simple random sample or adaptive sampling targeting zip codes.
Weights: base weights account for unequal probabilities of sampling zip codes produced by the adaptive sampling algorithm and the probability of a household being sampled, conditional on its zip code being sampled. The raking factors used for post-stratification are:
- Race/Ethnicity (white/black/other/hispanic)
- Gender (male/female) × Age (18-39/40-49/50-59/60+)
- Gender (male/female) × Education (high school or less/some college/assoc. college degree/bachelor/master, professional, doctorate degree)
- Household Size (1 member/2 or 3 members/4 or more members) × Household Income (<$35,000/$35,000-$74,999/$75,000+)
Respondents with a missing weight: UAS respondents in recruitment batch 4 (simple random sample of addresses listed on birth certificates issued in Los Angeles County in the years 2009-2012 in a limited set of zip codes).
Download PDF