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2022 | OriginalPaper | Buchkapitel

Special Session: Issues and Answers: Panel Discussion on Data Quality in Present-Day Marketing Research: An Abstract

verfasst von : David J. Ortinau, Barry J. Babin, John B. Ford

Erschienen in: Celebrating the Past and Future of Marketing and Discovery with Social Impact

Verlag: Springer International Publishing

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Abstract

Fact or fiction: The controversy behind the importance of data quality and external validity of research findings in academic marketing journals is justifiable.
In recent years, there has been a growing concern regarding the roles that data quality and external validity of research findings play in the publishing process of academic based marketing journals. This special session uses a broader research/publication integrity framework in an effort to address the concerns with data quality and external validity issues. A panel of expert researchers breaks down research/publication integrity into different categorical types (or sources) of integrity among the player groups (researcher, respondent/ subjects, authors, reviewers, editors, and publishers) involved in researching and publishing academic marketing journal articles. The session uses a novel approach of discussing whether specific player groups’ activities can be interpreted as being “fact” or “fiction” with the audience. The ensuing discussions should provide clearer insight and understanding of the impact that maintaining integrity throughout the researching and publishing processes has on enhancing data quality and external validity of reported results, findings, implications, and added value to body of marketing knowledge.
The session encourages audience questions as a means of driving the discussion centered on important modern-day data validity issues.
Some examples of “fact” or “fiction” activities are:
  • The defined target population of a contextual research project has little influence in assessing the generalizability of the research results.
  • Convenience sampling is the preferred approach to secure research participants.
  • College marketing/business students provide some of the best data quality results.
  • Reporting screening criteria for qualifying experimental design subjects is not relevant in academic research projects.
  • Relationships between populations, sampling plans, research subjects, and data quality have little influence on results and findings.
  • The role of “statistically significant” results in generalizability.
  • Researcher integrity, respondent/subject integrity, reviewer integrity, and editorial integrity play roles in determining the external validity of academic research.

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Metadaten
Titel
Special Session: Issues and Answers: Panel Discussion on Data Quality in Present-Day Marketing Research: An Abstract
verfasst von
David J. Ortinau
Barry J. Babin
John B. Ford
Copyright-Jahr
2022
DOI
https://doi.org/10.1007/978-3-030-95346-1_199