Methods

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)

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.

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)