Aug16.zip

• Sampling Design:
• Includes cell-only and dual-users (cell + landline).
• Cell phone interviews conducted via RDD sampling.
• Weighting Variables:
• WEIGHT: Used for full sample analysis (landline + cell).
• LLWEIGHT: For landline-only analysis; excludes cell interviews.
• CELLWEIGHT: For cell-only analysis; excludes landline interviews.
• Geographic Variables:
• Derived from self-reported ZIP codes due to high error rates in sample metadata.
• If ZIP code is missing or unmatched, sample-based geographic data is used.
• Original sample-based geographic variables retained (prefixed with “s”) for archival purposes.
• Privacy Measures:
• ZIP codes, county identifiers, and phone numbers removed from public dataset.

🧮 Constructed Variables & Syntax Highlights 🔹 Race & Ethnicity - racecmb (Combined Race): - Recoded from race_1 and race_2. - Categories: White, Black, Asian, Mixed, Other, Don’t Know/Refused. - racethn (Race-Ethnicity): - Derived from racecmb and hisp. - Categories: White non-Hispanic, Black non-Hispanic, Hispanic, Other, Don’t Know/Refused. 🔹 Presidential Vote Preference - Q13HORSE (Registered Voters): - Combines vote preference from q13 and q13a for registered voters (REG=1). - Categories: Clinton, Trump, Johnson, Stein, Other, DK/Refused. - Q13HORSEGP (General Population): - Combines vote preference from q13 and q13a for all respondents. - Same categorical structure as Q13HORSE. - Q14HORSE2 (Two-Way Preference for Registered Voters): - Combines q13/q13a and Q14/Q14a to isolate Clinton vs. Trump preferences. - Categories: Clinton, Trump, Other, DK/Refused.

🔗 Related Releases | | | | | | | | | | | | | | | |

🏷️ Suggested Tags - RDD Sampling - Cell Phone Interviews - Weighting Variables - Geographic Imputation - Privacy Redaction - Race-Ethnicity Coding - Presidential Preference - 2016 Election - Immigration Policy - Gun Policy - Clinton vs Trump - Metadata Documentation - Pew Research Center - August 2016

Would you like to consolidate these into a tagging dashboard or prep a reusable metadata schema for your Pew archive? I can also help you build a syntax glossary for demographic constructs across surveys.