research

The research team can conduct several different types of data analysis to suit your needs.

1. Measures of Central Tendency
   The research team can describe your data through measures of central tendency. These measures (such as mean, median, mode) are used to describe the average of a population.
   
   Examples:
   The average age of patrons at a show
   The average number of hours of art instruction a student receives per week
   The most commonly cited satisfaction rating of a workshop
2. Distribution Analysis
   The research team can describe your data through distribution analysis. These measures (such as minimum, average, maximum) are used to describe the range and distribution of responses of a population.
   
   Examples:
   The ages of patrons at a show
   The distribution of number of high schools with advanced art programs in a district
   The percentage of people who are likely to come to another workshop offering
3. Correlation Analysis
   The research team can conduct correlation analysis to determine the relationship of two statistics.
   
   Examples:
   The correlation between income of patrons and expenditures in the venue gift shop
   The correlation between the number of advanced arts programs and their district budget
   The correlation between the size of a participant’s organization and their membership level
4. Return on Investment Calculations
   The research team can conduct return on investment calculations to determine the economic impact of funding dollars.
   
   Examples:
   The total spending generated by each dollar of grant funding
   The points in standardized test scores for each dollar in arts programs
   The increase in organizational revenue for each dollar spent on professional development