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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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Negatively Skewed Distribution - Refers to a distribution where the mode has the largest value, followed by the median, then the mean. The graph of this type of distribution will show most of the scores piled up on the right hand side of the distribution, with a tail tapering to the left.

Nominal Scales - At the lowest level of measurement, nominal scales are qualitative in nature. They do not have magnitude or any other mathematical attribute; they describe a state of being. They are measured in terms of non-numerical qualities, dividing characteristics into categories. Examples are gender, hair color, and religion.

Noncoverage Error - Nonsampling error that arises because of a failure to include some units or entire sections of the defined survey population in the actual sampling frame.

Nonobservation Error - Nonsampling error that arises because of nonresponse from some elements designated for inclusion in the sample.

Nonparametric Statistics (Distribution-Free) - Methods developed to be used in cases when nothing is known about the parameters of the variable of interest in the population. These methods compare the probability distributions of the sampled populations rather than the specific parameters (such as means or variances).

Nonprobability Sample - Sample that relies on personal judgment somewhere in the element-selection process and therefore prohibits estimating the probability that any population element will be included in the sample.

Nonresponse Error - Nonsampling Error that represents a failure to obtain information from some elements of the population that were selected and designated for the sample.

Nonsampling Errors - Errors that arise in research that are not due to sampling; nonsampling errors can occur because of errors in conception, logic, misinterpretation of replies, statistics, and arithmetic; errors in tabulating or coding; or errors in reporting the results.

Null Hypothesis - States there is no change, effect, difference, or relationship between two variables.