Quantitative

Quantitative studies may mean producing numbers, but that doesn’t mean ruling out creativity.

We avoid statistical jargon and technical rhetoric so that we can tell the story clearly, concisely, and convincingly.

By not taking a cookie-cutter approach to research, we can develop new ways to present data – generating new and possibly unexpected insights.

Our data collection methodologies gather information in the most appropriate and efficient ways, including:

• Internet (see GongosOnline)
• Phone
• Mail
• Intercept
• Central Location Testing/Product Clinics (see Clinic Research)

And after we have the data, our diverse and well-rounded staff of researchers can apply multiple statistical tools, including – but not at all limited to:

• Conjoint Analysis/Discrete Choice Modeling
• Correlation Analysis
• Regression Analysis
• Derived Importances
• Perceptual Mapping
• Cluster Analysis
• Factor Analysis
• Discriminant Analysis
• Structural Equation Modeling
• Quadrant Analysis
• Intensity Analysis
• Opportunity Analysis