Safety 7: Analyze Quantitative Data

This page outlines how we analyzed quantitative data collected through the online screener developed by the Safety 7. The screener served two main purposes: 1) to determine participant eligibility based on age, neighborhood, and exposure to community violence; and 2) to collect additional background information on safety, trauma, and community strengths among eligible participants. This data helped the Safety 7 understand broader patterns across participants from Wards 7 and 8 and supported interpretation of the qualitative findings. Quantitative analysis was led by the adult facilitators on the Safety 7. 

Descriptive analyses 

We used descriptive statistical methods to analyze data from 157 individuals who completed the online screener. This approach helped us summarize key characteristics of the sample and provide context for the focus group and interview data. 

All analyses were conducted using STATA and focused on calculating frequencies and percentages across several key areas: demographics (e.g., age, gender, race/ethnicity), geographic connections to Wards 7 and 8 (e.g., place of residence or work), and types of community violence experiences (e.g., survivor, witness, or family member involvement). These statistics allowed us to: 

• Summarize the overall makeup of the participant pool 
• Compare youth and adult subgroups 
• Understand the range of lived experiences represented in the study 

We analyzed youth and adult data separately to ensure balanced representation and reviewed subgroup sizes to protect confidentiality. Since our primary goal was to describe, not to test hypotheses, we did not conduct inferential analyses. 

Descriptive statistics were also reviewed alongside qualitative data to support deeper understanding. For example, if a theme surfaced in interviews, we used the screener data to determine how widespread that experience was across participants.