American-Trends-Panel-Wave-28-Aug-17.zip

Here’s a structured summary for the Pew Research Center American Trends Panel Wave 28 dataset, including a clear description, relevant tags, and detailed notes for documentation, analysis, or archival use:

📄 Description Title: Pew Research Center – American Trends Panel Wave 28 Fieldwork Dates: August 8–21, 2017 Sample Size: N = 4,971 U.S. adults Mode: Web-based survey (English and Spanish) Purpose: This wave explores public attitudes on gender equality, gender traits, and social values. It supports multiple Pew reports and Fact Tank posts, including longitudinal analysis with Wave 29. The dataset includes open-ended responses, corrected survey items, and specialized weights for social media and combined-wave analysis.

🏷️ Tags - Pew Research Center - American Trends Panel - Gender Equality - Nature vs. Nurture - Marriage Trends - Social Values - Open-End Coding - Longitudinal Survey - Web Survey - August 2017 - Survey Weights - Social Media Use - Coded Responses - Programming Error Correction - Marriage Status

📝 Notes ⚖️ Weighting Variables - WEIGHT_W28: Use for standalone Wave 28 analysis (excluding social media questions). - WEIGHT_W28_SOCIALMEDIA: Use for analyzing NEWS_PLATFORM, SNS, and SNSNEWS; raked to social media news users. - WEIGHT_W28W29: Longitudinal weight for respondents who completed both Wave 28 and Wave 29 (N = 4,573). Apply filter W28W29_FLAG = 1 for combined analysis. 🧠 Key Variables - Open-End Responses (first three mentions): - Social values for men: SOCVALM_m1_W28, SOCVALM_m2_W28, SOCVALM_m3_W28 - Social discrimination against men: SOCDISCM_m1_W28, SOCDISCM_m2_W28, SOCDISCM_m3_W28 - Social values for women: SOCVALW_m1_W28, SOCVALW_m2_W28, SOCVALW_m3_W28 - Social discrimination against women: SOCDISCW_m1_W28, SOCDISCW_m2_W28, SOCDISCW_m3_W28 - Programming Error Correction: - Question SOCDISCW was shown incorrectly to 1,085 respondents (missing the word “believe”). - Corrected version re-asked; 937 responded, 148 skipped. - Use SOCDISCW_FLAG_W28 to identify affected cases. - Marriage Filter for Never-Married Analysis: - Use: F_MARITAL_FINAL = 6 OR (F_MARITAL_FINAL = 2 AND LWP_RF2 = 2)