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R&D

Burke's Philosophy

 

We have an obligation to clients to understand and test new approaches to ensure rigor and high value in services offered to clients. As a result, Burke conducts R&D on research methods and analytical approaches to enhance and appropriately expand the suite of research services available for client organizations. Such expansions are predicated on knowledge of how new or modified approaches compare to existing methods or industry-accepted best practices, and that knowledge comes from R&D that Burke has performed.

A Sampling of Burke R&D


Data Analysis

 
  • Measuring customer engagement - Burke conducted research across B2C and B2B industries to determine how best to measure customer engagement so that the linkage to business outcomes is maximized.
  • Measuring brand engagement - This research supported the development of a comprehensive measurement tool for assessing brand health.
  • Burke tournament data collection - Given the ubiquity of product or service attributes in online surveys, Burke conducted research to compare data collection via a "tournament" with other common measurement approaches.

Data Quality

 
  • Data quality from online panelists - In this research, Burke examined data quality from different online panels and established best practices for removing unengaged and fraudulent respondents from data sets.
  • Deterrence of mental cheating - This research compared the effectiveness of three different approaches to deterring mental cheating in online surveys.
  • Effects of respondent engagement on data quality - Burke compared measures of data quality from online panelists with data quality from a highly engaged group of non-panelists.

Methods

 
  • Unintentional mobile data collection - Burke conducted research to understand what happens to data quality, the survey-taking experience, and measures of consumer attitudes and behaviors when respondents use mobile devices to complete a survey intended for a computer.
  • iPad versus paper data collection - The proliferation of tablet computers affords several advantages over paper data collection methods. Burke research shows the degree of similarity between data obtained using the two methods.
  • Social media research versus survey research - Social media has been lauded as a relevant and highly accessible source of consumer insight. Burke performed research that allowed survey findings and social media results to be quantitatively connected and compared.

Questionnaire Design

 
  • Scale instrumentation comparison - This research explored differences in data obtained from four different online scale presentations.
  • Rehabilitating "bad" panelists - Burke conducted research to determine whether having "implied surveillance" of respondents during online data collection deters mental cheating among online panelists.
  • Additional scale instrumentation comparison - Burke compared data obtained using single item scale presentation to data obtained using drop-down boxes.
  • Common method bias - Burke explored whether common method bias - the confounding effect of measuring all variables of interest in a common survey - produces systematic error in survey results.

Sampling

 
  • Research on panel, river, and social media sample sources - Burke examined how data quality and reported consumer behaviors and attitudes vary by various online sample sources.
  • Effect of respondent engagement on data quality - Burke compared measures of data quality from online panelists with data quality from a highly engaged group of non-panelists.

 

      
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