Market Research Consultants > Statistical Analysis
Providers 1 to 8 out of 8
(in randomized alpha order, starting with "P", after featured listings)
1.
PROdata Team
Phone: (214) 455-5599, McKinney, TX
“P” is precise, “R” is resourceful, and “O” is on time. Using the strongest tools available, we can serve virtually any data processing function....
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2.
Renaissance Research & Consulting, Inc.
Phone: (212) 319-1833, New York, NY
Actionable solutions to marketing problems thru innovative statistical tools, thoughtful analysis and insightful interviewing...
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3.
Strategic Research and Development Center, Inc.
Phone: (632) 576-8407, Makati City, Philippines
STRAND-Asia, caters full-service marketing and online research, consulting, software marketing, training, and IT services....
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4.
Thrive Analytics
Phone: (937) 212-4355, Kettering, OH
Our goal is to become a valued business partner. We focus on finding and implementing solutions to the most critical problems facing our clients....
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5.
Burke, Incorporated
Phone: (800) 688-2674, Cincinnati, OH
Founded in 1931, Burke is a 100% employee-owned, full service marketing research and decision support company....
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6.
CRG GLOBAL, INC.
Phone: (386) 677-5644, Ormond Beach, FL
Part of Cunningham Research Companies
Advanced data collection and field interviewing with state-of-the-art facilities in 25+ of America's most popular, geographically dispersed malls...
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7.
Marketing Systems Group
Phone: (800) 336-7674, Fort Washington, PA
Capabilities include Web-based sampling systems, sample screening services, PRO-T-S dialers,and ARCS panel management and IVR/Web data collection....
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8.
Market Probe International
Phone: (212) 725-7676, New York, NY
Worldwide research for marketing decision makers. All phases of qualitative and quantitative research: design through analysis, focus groups, in-depth...
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What Every Researcher Should Know About Statistical Significance
by DataStar, Inc.
Survey researchers use significance testing as an aid in expressing the reliability of survey results. We use phrases such as "significantly different," "margin of error," and "confidence levels" to help describe and make comparisons when analyzing data. The purpose of this article is to foster a better understanding of the underlying principles behind the statistics. Read Article »
