Evidence map›Paper›PMID 31976945›Full record

ArticleThe Behavior analyst2017

Progress of and Prospects for Hypothetical Purchase Task Questionnaires in Consumer Behavior Analysis and Public Policy.

Peter G Roma, Derek D Reed, Florence D DiGennaro Reed, Steven R Hursh

Open access · bronzeAbstract read
In one paragraph

Article in The Behavior analyst, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed, 3 pooled it
3.0field-weighted citation impact, top 8% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

31 citing papers in PubMed, 3 syntheses or guidelines pooled it, 65 citations in OpenAlex.

  1. Pooled it
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  8. Hypothetical Purchase Task Metrics Predict Responding on an Incentivized Purchase Task for Full and Reduced Nicotine Cigarettes.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2025
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  16. Notes on demand: Conceptual and empirical benefits of applying Rachlin's discounting equation to demand data.Psychology of addictive behaviors : journal of the Society of Psychologists in Addictive Behaviors · 2023
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors at 3 institutions in 1 country.

Peter G Roma1Applied Behavioral Biology Unit, Institutes for Behavior Resources, Baltimore, MD USA.
Derek D Reed3Department of Applied Behavioral Science, University of Kansas, Lawrence, KS USA.
Florence D DiGennaro Reed3Department of Applied Behavioral Science, University of Kansas, Lawrence, KS USA.
Steven R Hursh1Applied Behavioral Biology Unit, Institutes for Behavior Resources, Baltimore, MD USA.
University of Kansas · USInstitutes for Behavior Resources · USJohns Hopkins University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Based on the conceptual, methodological, and analytical framework of operant behavioral economics, hypothetical purchase task (HPT) questionnaires provide a low cost, scalable, and quantitatively rich source of empirical insights on consumer motivation, preferences, and decision-making. Here, we briefly summarize the history of HPT development and validation in clinically oriented research in addiction through to recent work with more conventional consumer goods and services. We discuss several possible novel applications of HPT methods to consumer behavior analysis for business, marketing, and public policy formulation and evaluation, as well as emerging best practices, limitations, and additional directions for future research and development.

Indexed as

Behavioral economicsConsumer behavior analysisHypothetical purchase taskMarketingPublic policy

Identifiers

PMID31976945
PMCPMC6701212
OpenAlexW2604504203

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.