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Using quality control checks to overcome pitfalls in the collection of primary data via online platforms

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Abstract

A sample of 1452 adult respondents in the United States was drawn using a highly respected commercial Internet-based service provider. The 85-question survey addressed issues related to anti-consumption behavior among consumers. The instrument incorporated four quality control checks designed to identify inattentive respondents and cleanse the resultant data set. These quality control (QC) checks were a uniform identifier (where one specific response should result), an instructional manipulation check. A common knowledge question, and a time check. A total of 514 (35.4%) respondents failed at least one of the four QC checks with nine respondents failing all four. Comparisons of inattentive respondents to those who passed all four QC checks consistently identified statistically significant differences on each of the metrics used to determine the potential impact of inattentive respondents. These results indicate that inattentiveness does not produce “random noise” as some authors have stated; rather the inattentive respondents “create both random and systematic measurement error which impacts estimates of the reliability and validity” of the metrics used to assess various consumer phenomena. The results of this study are important, not only in projects designed to help marketers, but also for research in other fields where accuracy is of paramount importance.

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Correspondence to Sam Fullerton.

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Please accept the manuscript titled Using Quality Control Checks to Overcome Pitfalls in the Collection of Primary Data Via Online Platforms for consideration for publication in the SMA Special Issue of the Journal of Marketing Analytics. I confirm that there is no conflict of interest between the authors and any interested party regarding outcomes. No funding by any interested party was provided. As such, it can be declared that On behalf of all authors, the corresponding author states that there is no conflict of interest.

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Appendix A: Scale items used for current study

Appendix A: Scale items used for current study

Consumer ethics

It is acceptable for a customer to eat a candy bar in a supermarket and check out without paying for it.

It is acceptable for a consumer to report a lost item as “stolen” in order to collect money from an insurance company.

It is acceptable for a customer to give misleading price information to a retail clerk in order to get a lower price.

It is acceptable for a customer to return damaged merchandise to the retailer even though the damage was the customer’s own fault.

Optimism

I am confident that I can help to solve the problems that lie ahead of us.

The major problems that we face today are not a threat to our future because I can help solve them.

When I see a big problem the world faces, it does not concern me that much because I know I can help to eventually solve the problem.

When I think of social or environmental issues we face, I am not concerned about the future. I can help to find ways to solve the problems we face. I always have.

Political inclination

I am politically more liberal than conservative.

In any election, given a choice between a Republican and Democratic candidate, I will usually vote for the Democrat.

I cannot see myself ever voting to elect conservative candidates.

On balance, I lean politically more to the left than to the right.

Each item used the following response set so as to conform to a Likert scale format

  • Strongly Disagree

  • Disagree

  • Slightly Disagree

  • Slightly Agree

  • Agree

  • Strongly Agree

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Fullerton, S., McCullough, T. Using quality control checks to overcome pitfalls in the collection of primary data via online platforms. J Market Anal 11, 602–612 (2023). https://doi.org/10.1057/s41270-023-00249-z

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  • DOI: https://doi.org/10.1057/s41270-023-00249-z

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