Assessing sensitive consumer behavior using the item count response technique

M.G. de Jong, Rik Pieters

Research output: Contribution to journalArticleScientificpeer-review

Abstract

The authors propose a new truth-telling technique and statistical model called “item count response technique” (ICRT) to assess the prevalence and drivers of sensitive consumer behavior. Monte Carlo simulations and a large-scale application to self-reported cigarette consumption among pregnant women (n = 1,315) demonstrate the effectiveness of the procedure. The ICRT provides more valid and precise prevalence estimates and is more efficient than direct self-reports and previous item count techniques. It accomplishes this by (1) incentivizing participants to provide truthful answers, (2) accounting for procedural nonadherence and differential list functioning, and (3) obviating the need for a control group. The ICRT also facilitates the use of multivariate regression analysis to relate the prevalence of the sensitive behavior to individual-level covariates for theory testing and policy analysis. The empirical application reveals a significant downward bias in prevalence estimates when questions about cigarette consumption were asked directly to pregnant women, or when standard item count techniques were used. The authors find lower smoking prevalence among women with higher levels of education and who are further along in their pregnancy, and a much higher prevalence among unmarried respondents.
Original languageEnglish
Pages (from-to)345-360
JournalJournal of Marketing Research
Volume56
Issue number3
DOIs
Publication statusPublished - Jun 2019

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Consumer behaviour
Cigarette consumption
Pregnant women
Functioning
Smoking
Truth-telling
Statistical model
Multivariate regression
Monte Carlo simulation
Theory testing
Education
Policy analysis
Regression analysis
Self-report
Covariates
Pregnancy

Keywords

  • item count technique
  • item response theory
  • list experiment
  • sensitive questions
  • smoking

Cite this

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Assessing sensitive consumer behavior using the item count response technique. / de Jong, M.G.; Pieters, Rik.

In: Journal of Marketing Research, Vol. 56, No. 3, 06.2019, p. 345-360.

Research output: Contribution to journalArticleScientificpeer-review

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