We employ both traditional quantitative methodologies, such a telephone and mail surveys, and newer techniques like complex online studies.  We have a full range of quantitative multivariate analytical techniques, including regression analysis and cluster analysis.  We offer the full range of quantitative tools, so we are able to recommend the most appropriate methodology to answer your research questions.  Edge recommnds the best methodology to give you direction cost-effectively, while gaining an in-depth, multi-dimensional understanding of respondents' attitudes, values, beliefs and behavior.   Below are examples of quantitative methodologies that Edge frequently conducts.

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Quantitative Tools and Techniques
		Descriptions		When to do
Phone survey		Survey conducted over the phone among a random sample of relevant pop. Sample size and lengths vary		Statistical reliability important; quick turnaround needed; sample/subgroup control; flexible budget
Online survey		Survey conducted online. Email invitation, interstitials or panel approach. Sample size and lengths vary		Need to intercept online population or email group; interactive component; react to visual stimuli (i.e. website, ads, packaging); conjoint; budget constraints
Market segmentation / cluster analysis		Form of multivariate analysis, which allows you to group people based on their attitudes or behavior		Need to understand how audience segments and their size, utility, demographics, psycho-graphics. Groups can be targeted with specific marketing/advertising based on their characteristics.
Regression analysis		Form of multivariate analysis, which allows you to predict or explain how people vary on one variable by how they vary on a bunch of other variables		Need to understand how attitudes and beliefs about a product or organization impact behavior or interest (i.e. factors impacting purchase intent, vote, membership, donations)
Conjoint analysis		To understand how something performs relative to others		Need to understand relative importance of product or service features; tagline test; logo test; packaging test; price elasticity
Strategic mapping/gap analysis		Ability to look at various attributes on two dimensions		Need to understand a brand, product, service or organization's strengths and weaknesses/gaps
Chaid/predictive modeling		Allows you to correlate demographics/psychographics with a desired behavior.		More precise audience targetting when have large data set -- data-mining.