Update README.md

README.md

@@ -10,7 +10,7 @@ This data product contains individual-level responses to an online survey experi
 **Key design features**
 
 * **Crime-framing experiment.** Respondents read a mock police-blotter story with experimentally varied details (suspect race, number of break-ins, presence/absence of racial information) before answering questions about policy, crime perceptions, and social spending.  
-* **Rich demographics & ideology.** Over 50 items capture party identification, vote choice, income, employment security, family status, education, racial identity, and core value trade-offs.  
+* **Demographics & ideology.** Over 50 items capture party identification, vote choice, income, employment security, family status, education, racial identity, and core value trade-offs.  
 * **Panel structure.** A subset of respondents was re-contacted after Election Day, enabling within-person analyses of opinion change.
 
 ## File Manifest
@@ -53,7 +53,7 @@ See `Oct21_survey.pdf` for exact wording and response options.
 
 ## Possible Use Cases
 
-1. **Election-season opinion dynamics** – exploit the before/after panel to examine how campaign events (debates, the Comey letter, Election Day) shifted perceptions of crime, policing, or redistribution.  
+1. **Election-season opinion dynamics** – analyze the before/after panel to examine how campaign events (debates, the Comey letter, Election Day) shifted perceptions of crime, policing, or redistribution.  
 2. **Stereotype activation & policy support** – estimate causal effects of suspect-race cues on punitive crime policies or welfare attitudes.  
 3. **Replication exercises** – reproduce classic findings from ANES or GSS items using a contemporary MTurk sample; ideal for teaching regression, causal inference, or text analysis (e.g., coding open-ended crime causes in `Q10`).  
 4. **Value trade-off scaling** – model latent moral or parenting value dimensions with the paired choice items (`Q33`–`Q36`).