In our program evaluation and applied research work, we employ qualitative (non-numerical), quantitative (numerical), and mixed-method designs, matched specifically to program characteristics, goals, and stakeholder needs. Our team has expertise with a range of methods and methodologies, including, but not limited to:

 

Designs	Data Collection	Analyses
Case Study  Quasi-Experimental Designs (multiple group comparisons)  Randomized Control Trials (RCT)  Design-Based Implementation Research (DBIR)	Surveys  Interviews   Focus Groups  Observations	Qualitative  Trend analysis  Content Analysis  Quantitative  Descriptive Statistics  Univariate Analysis  Multivariate Analysis  Structural Equation Modeling (SEM)

If you have questions about methods and designs not listed here, please contact us.