LateOct00.zip

Sample & Weighting • Sample Size: 1,508 registered voters • Weight Location: Card 4, columns 71–74 • Turnout Assumption: 50% of national sample expected to vote • Weighting Strategy: • Respondents scoring 5 on the Likely Voter Scale receive full weight • Respondents scoring 4 receive partial weight (multiplied by 0.5822) • Respondents scoring 0–3 are weighted zero 🧮 Likely Voter Scale (LVS) • SPSS Syntax: • Variables , , , , and are recoded into binary indicators ( to ) • Final score is the sum of these five indicators • Additional filters: • If (not planning to vote), • If or (registration issues), • Post-processing: Drop intermediate variables to before saving dataset 📈 Example Calculation • If 40% of respondents score 5 and 17% score 4: • To reach 50% turnout, 10% must be drawn from category 4 • Weight for category 4 = 0.5822 × standard weight • Category 5 = full weight; Categories 0–3 = zero weight