The DOI matches its Crossref record; 10 of the 10 references it cites were found in a registry or an index.
Individual Differences in Haptic Information Processing: The “Need for Touch” Scale
Abstract
This research details the development of the “Need for Touch” (NFT) scale designed to measure individual differences in preference for haptic (touch) information. The 12-item NFT scale consists of autotelic and instrumental dimensions. Results are reported that support the scale's hypothesized internal structure as well as its reliability, convergent, discriminant, and nomological validity. Individual differences in chronic accessibility to haptic information across groups varying in NFT were also found in two experiments. Additionally, NFT moderated the relationship between direct experience and confidence in judgment.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Evaluating Structural Equation Models with Unobservable Variables and Measurement Error
Fornell, C., & Larcker, D. F. (1981) · Journal of Marketing Research · doi:10.2307/3151312 · Cited by 109,314
Evaluating structural equation models with unobservable variables and measurement error
Fornell, C., & Larcker, D. F. (1981) · Journal of Marketing Research · doi:10.1177/002224378101800104 · Cited by 109,190
A Paradigm for Developing Better Measures of Marketing Constructs
Churchill, G. A. (1979) · Journal of Marketing Research · doi:10.1177/002224377901600110 · Cited by 16,549
An updated paradigm for scale development incorporating unidimensionality and its assessment
Gerbing, D. W., & Anderson, J. C. (1988) · Journal of Marketing Research · doi:10.1177/002224378802500207 · Cited by 6,293
Work and/or Fun: Measuring Hedonic and Utilitarian Shopping Value
Babin, B. J., Darden, W. R., & Griffin, M. (1994) · Journal of Consumer Research · doi:10.1086/209376 · Cited by 6,020
Cacioppo, J. T., & Petty, R. E. (1982) · Journal of Personality and Social Psychology · doi:10.1037/0022-3514.42.1.116 · Cited by 5,359
Consumers' Need for Uniqueness: Scale Development and Validation
Tian, K. T., Bearden, W. O., & Hunter, G. L. (2001) · Journal of Consumer Research · doi:10.1086/321947 · Cited by 1,791 · cited 2×
“The potential confounding of responses to the NFT scale by social desirability response bias was assessed, as has been advocated in consumer research (Mick 1996; Tian et al. 2001).”
MethodExploring the implications of the Internet for consumer marketing
Peterson, R. A., Balasubramanian, S., & Bronnenberg, B. J. (1997) · Journal of the Academy of Marketing Science · doi:10.1177/0092070397254005 · Cited by 1,373
Johansson, R. S. (1978) · The Journal of Physiology · doi:10.1113/jphysiol.1978.sp012411 · Cited by 430
Retrieval selectivity in memory-based impression judgments.
Lingle, J. H., & Ostrom, T. M. (1979) · Journal of Personality and Social Psychology · doi:10.1037/0022-3514.37.2.180 · Cited by 256
Cited by
Elhai, J. D., Levine, J. C., Dvorak, R. D., & Hall, B. J. (2016) · Computers in Human Behavior · doi:10.1016/j.chb.2016.05.079 · Cited by 1,020
Flow online: lessons learned and future prospects.
Hoffman, D. L., & Novak, T. P. (2009) · Journal of Interactive Marketing · doi:10.1016/j.intmar.2008.10.003 · Cited by 954
Schlosser, A. E., White, T. B., & Lloyd, S. M. (2006) · Journal of Marketing · doi:10.1509/jmkg.70.2.133 · Cited by 947
The influence of tactile input on the evaluation of retail product offerings
Grohmann, B., Spangenberg, E. R., & Sprott, D. E. (2007) · Journal of Retailing · doi:10.1016/j.jretai.2006.09.001 · Cited by 300
Heller, J., Chylinski, M., de Ruyter, K., Mahr, D., & Keeling, D. I. (2019) · Journal of Retailing · doi:10.1016/j.jretai.2019.10.008 · Cited by 271
Metadata
- Authors
- Peck, J., & Childers, T. L.
- Venue
- Journal of Consumer Research
- Publisher
- Oxford University Press (OUP)
- Published
- 2003-12
- Volume
- 30
- Issue
- 3
- Pages
- 430-442
- ISSN
- 0093-5301 (ISSN-L)
- 1537-5277
- OpenAlex
- W2030767364
- Cited by
- 670
- References
- 10
- FWCI
- 1.78
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Individual Differences in Haptic Information Processing: The “Need for Touch” Scale. https://app.cochat.ai/papers/10.1086/378619
- The paper
- Peck, J., & Childers, T. L. (2003). Individual Differences in Haptic Information Processing: The “Need for Touch” Scale. Journal of Consumer Research. https://doi.org/10.1086/378619
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.