Aug11political.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.
• COWEIGHT: For landline + cell-only analysis; excludes dual-users.
• 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 🔹 Historical Memory Recoding Respondents were categorized based on age to determine whether they were old enough or born at the time of key historical events: | | | | | | berlinwall | | | | | challenger | | | | | nixon | | | | | moon | | | | | mlk | | | | | jfk | | | |

🔹 Age-Based Subgroup Analysis Respondents aged 8 or older at the time of each event were selected for frequency analysis using weighted data: TEMPORARY. select if age ge [threshold] and (event_var le 2 or event_var=9). freq event_var.

Thresholds ranged from age 24 (for more recent events) to age 56 (for JFK).

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

🏷️ Suggested Tags - RDD Sampling - Cell Phone Interviews - Weighting Variables - Geographic Imputation - Privacy Redaction - Historical Memory - Age-Based Recoding - SPSS Syntax - Political Leadership - August 2011 - Pew Research Center - Metadata Documentation

Would you like to batch these historical memory constructs into a reusable module for future surveys? I can also help you build a tagging schema that flags age-based eligibility logic across datasets.