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Methodist Healthcare

"We have been partnering with Superior DataWorks since 2005 and we have always trusted their team to meet our marketing research needs. Whether we require assistance with an online, phone or mailed survey, they are always prompt, professional, accurate and proactive. We really appreciate their flexibility with our ever-changing needs and helping us meet our strategic goals and objectives."
~ Cori Grant, MS, MBA

Homewood Suites by Hilton
"We have seen dramatic increases in both customer and employee satisfaction since utilizing Superior DataWorks."
~ Frank Saitta
Choice Hotels International
"I've always had great success when I've worked with Superior DataWorks. Each project is always done thoughtfully, efficiently and professionally. On my last mystery shopper project, they really added value to the research by including insights that another vendor might not have noticed."
~ David Ginsburg
International Paper
"Superior DataWorks was fast, efficient, economical, and creative in their work for International Paper. In helping us improve customer service, they gave outstanding customer service and support. I highly recommend Superior DataWorks."
~ Rick Carpenter
Hilton Hotels
"We have used Superior DataWorks for over five years conducting surveys, shopping calls, and data collection. The team has been creative in developing unique solutions to our data needs as well as rapidly completing the projects on-time, and on budget."
~ Bill Petschonek
Choice Hotels International
"Thank you for all of your efforts to successfully complete the second annual U.S. Franchisee Survey. In completing comprehensive interviews with over 1,000 of our hotel owners and general managers, you have provided our Board of Directors and senior management invaluable insights for strategic planning. Thank you for the many hours and much thinking devoted to ensuring the accuracy of the results."
~ Catherine Shaw


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Validity - Term applied to measuring instruments reflecting the extent to which differences in scores on the measurement reflect true differences among individuals, groups, or situations in the characteristic that it seeks to measure, or reflect true differences in the same individual, group, or situation from one occasion to another, rather than constant or random errors.

Variability - The degree of differences from a score. It provides a quantitative measure of the degree to which scores in a distribution are spread out or clustered together. If differences are small, the variability is small. If differences are large, the variability is large. It also provides information about how much error to expect if you are using a sample to represent a population. The three measures of variability are range, standard deviation, and variance.

Variance - The statistical measure of how similar a population is in a characteristic being studied. It is the average squared distance of all measurements from the mean. It is the square of the standard deviation.

Verbatim - Respondents' true and actual responses.