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Quantitative Research

 

Surveys  ¨  Tracking Studies  ¨  Longitudinal Panels  ¨  Multivariate  ¨  More

 

Quantitative research is a set of methodologies designed to test and measure pre-defined concepts and choices in ways that meet standards of statistical reliability and validity. Quantitative research typically involves larger samples in a more regimented question-and-answer setting, such as telephone and online surveys, mail surveys, and central location testing.

 

Next Level Research provides full-service quantitative research:

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Needs Analysis 

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Methodology Development 

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Questionnaire Design 

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Sampling 

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Data Collection — telephone, online, mail, in-person, specialty, hybrid 

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Open-End Response Coding 

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Data Processing 

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Data Analysis 

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Strategic Development 

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Presentation 

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Report 

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Follow-Through

Quantitative research is best used to:

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Measure respondent reactions with statistical validity and reliability — answering questions such as who, what, when, how much, how many, which one, and to what extent within a statistical margin of error 

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Gauge awareness levels, penetration levels, and the degree to which certain perceptions about products, brands and categories may exist 

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Quantify performance, satisfaction levels, awareness, interest levels, concept acceptance, appeal, fit, and other key parameters 

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Examine and characterize markets and sub-markets, identifying the best target population groups and the specific traits and qualities those target populations possess 

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Determine the best choice from among a select set of concepts, products, services, brands, features, form factors, price points, package designs, or marketing messages 

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Rate and rank key concepts, products, services, features, attributes, brands, marketing messages, etc. 

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Prioritize importance levels of product mix characteristics and benefits 

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Establish benchmark measurements by which to gauge future performance 

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Evaluate the success probability of a product launch, line or brand extension, advertising campaign, or other initiatives 

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Track changes over time to be able to react quickly to shifts in market conditions, compare before and after studies to measure market impact

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