Need for Touch (Instrumental) (NFT)

Abstract

The Need for Touch (Instrumental) (NFT) scale is a six-item psychometric instrument designed to evaluate an individual’s chronic dispositional preference for tactile information extraction to accomplish utilitarian, goal-directed product evaluations. Derived from the seminal multidimensional Need for Touch conceptualization introduced by Joann Peck and Terry L. Childers (2003a, 2003b) and refined in retail settings by Bianca Grohmann, Eric R. Spangenberg, and David E. Sprott (2007), the instrumental dimension focuses specifically on pre-purchase haptic exploration executed as an objective problem-solving heuristic. Unlike autotelic touch, which is driven by hedonic, affective, and sensory indulgence, instrumental touch reflects a cognitive necessity to physically handle goods to assess diagnostic functional properties such as texture, weight, firmness, and thermal conductivity. The scale consists of six declarative items evaluated along a 7-point Likert scale ranging from 1 (“Strongly Disagree”) to 7 (“Strongly Agree”). Extensive empirical psychometric validation across consumer behavior, sensory marketing, and retail psychology literature demonstrates that the instrumental NFT subscale possesses robust internal consistency (Cronbach’s alpha typically exceeding .88 to .93, composite reliability > .90), high test-retest stability, and distinct construct validity. Confirmatory factor analytic investigations consistently support unidimensional structural integrity for this subscale, showing clear divergence from autotelic touch, visual processing styles, and general risk aversion, alongside substantial predictive validity regarding store choice, perceived product quality, consumer confidence, and barrier perceptions in digital e-commerce contexts lacking tactile affordances.

Keywords

Need for Touch, Instrumental Touch, Haptic Information Processing, Sensory Marketing, Consumer Behavior, Psychometrics, Tactile Exploration, Utilitarian Shopping, Product Evaluation, Perceived Risk, E-Commerce Usability, Measurement Invariance

Authors

The operationalization and validation of the six-item instrumental Need for Touch measurement model across diverse retail environments was established primarily through the foundational scholarship of:

• Bianca Grohmann, Ph.D. — Professor of Marketing, John Molson School of Business, Concordia University, Montreal, Quebec, Canada. Dr. Grohmann’s research focuses on sensory marketing, sensory evaluation of brands, and tactile input in retail environments.
• Eric R. Spangenberg, Ph.D. — Professor of Marketing and former Dean, The Paul Merage School of Business, University of California, Irvine, California, United States. Dr. Spangenberg is an international authority on environmental psychology in consumer behavior, olfactory and sensory cues, and consumer decision-making.
• David E. Sprott, Ph.D. — Dean and Professor of Marketing, Peter F. Drucker and Masatoshi Ito Graduate School of Management, Claremont Graduate University, Claremont, California, United States. Dr. Sprott specializes in retail strategy, sensory processing, and behavioral influence.

This instrumental measure is directly grounded in the theoretical framework and parent scale constructed by Joann Peck, Ph.D. (Wisconsin School of Business, University of Wisconsin–Madison) and Terry L. Childers, Ph.D. (Iowa State University), who initially established the two-factor Need for Touch instrument in consumer psychology.

Purpose

The primary purpose of the Need for Touch (Instrumental) scale is to quantify inter-individual variability in consumers’ reliance on physical touch as an informational, goal-directed evaluation mechanism prior to purchase. In both physical and digital retail landscapes, consumers encounter an array of products whose sensory characteristics cannot be fully decoded through visual or verbal representations alone. While some consumers are content relying on static imagery, written specifications, or peer reviews, individuals possessing a high instrumental need for touch experience an acute cognitive requirement to manipulate products directly before committing to a transaction.

The theoretical rationale behind isolating the instrumental dimension from general tactile preference lies in the dual-processing architecture of human sensory experience. Instrumental touch is purposive, deliberate, and functionally motivated. The consumer utilizes their hands not for emotional gratification, but as sophisticated measurement instruments. The purpose of deploying this scale in empirical research and applied market research includes:

• Explaining Information Search Patterns: Determining how consumers allocate time and attention during product categorization, brand comparisons, and diagnostic physical appraisals in brick-and-mortar storefronts.
• Predicting Online Shopping Hesitancy and Cart Abandonment: Quantifying consumer-level friction in computer-mediated environments (e.g., e-commerce, mobile applications, virtual reality) where tactile affordances are naturally absent, thereby identifying customer segments that require compensatory sensory cues (such as zoomable macro-photography, high-fidelity video demonstrations, or flexible return policies).
• Assessing Utilitarian Judgment and Decision Quality: Investigating how tactile access or deprivation impacts consumer confidence, decision certainty, perceived product quality, and post-purchase dissonance.
• Retail Environmental Design: Assisting store architects and merchandise display specialists in engineering tactile interactions (e.g., open packaging, interactive product pedestals) tailored to the informational needs of touch-sensitive customer bases.

In applied research, the instrumental NFT scale provides a reliable continuous diagnostic metric or classification tool (via median split or structural regression) that enables researchers to control for sensory preferences when testing packaging innovations, material tactile variations, and multi-channel marketing strategies.

Psychological Construct

The construct of Instrumental Need for Touch (NFT-I) is defined psychometrically as an enduring individual difference variable reflecting a consumer’s motivation to obtain diagnostic product information through tactile interaction to solve specific purchase problems and reduce cognitive uncertainty. To understand the psychological construct thoroughly, it is essential to delineate its conceptual boundaries, its cognitive underpinnings, and its precise differentiation from related sensory constructs.

Instrumental versus Autotelic Touch

In their seminal theoretical taxonomy, Peck and Childers (2003a) bifurcated consumer touch into two distinct structural dimensions:

1. Instrumental Touch: Driven by conscious, cognitive, problem-solving motives. Instrumental touch corresponds to explicit purchase intentions. It serves an epistemic function: extracting utilitarian information regarding whether a product meets specific functional standards (e.g., assessing the tensile strength of an umbrella frame, the softness and thread count of bedding, the weight and structural balance of a kitchen knife, or the firmness of fresh produce).
2. Autotelic Touch: Driven by hedonic, experiential, and affective motivations. Autotelic touch does not have an explicit purchase goal; rather, it is performed for sensory fun, tactile stimulation, and emotional pleasure. Touching a plush blanket purely because it feels soft and pleasant exemplifies autotelic touch.

The instrumental NFT construct operates primarily through the deliberative system of information processing. When an individual high in instrumental NFT touches a product, the primary goal is hypothesis testing regarding product attributes that are haptically diagnostic.

Haptic Diagnostic Dimensions

Building on sensory psychophysics, particularly the foundational work of Roberta Klatzky and Susan Lederman (1987), the instrumental construct explicitly interfaces with specific product dimensions that can only be judged via haptic perception:

• Material Properties: Surface texture (smoothness, roughness, grain), thermal properties (coolness or warmth of materials like stone versus wood), compliance or elasticity (firmness, squishiness, rigidity), and weight/density (perceived heft, mass distribution). These dimensions cannot be fully confirmed by sight alone.
• Structural / Geometric Properties: Size, global shape, volume, and enclosure. While visual inspection can infer geometry, tactile appraisal verifies ergonomic comfort, grip stability, and spatial suitability.

Individuals with high instrumental NFT exhibit a heightened cognitive need for certainty regarding these material dimensions. For these consumers, physical contact reduces subjective risk, increases perceived diagnostic value, and elevates decision confidence. Conversely, individuals low in instrumental NFT are willing to infer these attributes through visual cues (such as visual sheen denoting smoothness) or descriptive claims (such as thread count labels) without needing direct skin-to-object contact.

Theoretical Framework

The Need for Touch (Instrumental) construct is rooted in several interconnected paradigms across cognitive psychology, sensory psychobiology, and consumer decision theory.

1. Sensory Psychology and Exploratory Procedures (EPs)

The foundational bedrock of instrumental touch research resides in the perceptual psychology of Lederman and Klatzky (1987). Lederman and Klatzky demonstrated that human hands function as specialized perceptual systems capable of executing stereotypic motor movements—termed Exploratory Procedures (EPs)—to extract precise physical properties:

• Lateral Motion: Rubbing fingers across a surface to determine texture.
• Pressure: Applying perpendicular force to evaluate hardness or compliance.
• Static Contact: Resting the hand stationary on a surface to gauge temperature and heat dissipation.
• Unsupported Holding: Lifting an object away from support to determine weight and mass center.
• Enclosure: Wrapping fingers around an object to verify structural shape and volume.
• Contour Following: Tracing edges to ascertain precise boundaries.

In the theoretical framework of instrumental NFT, individuals high in this trait exhibit an automatic cognitive predisposition to activate these EPs when evaluating objects. The execution of these EPs is not random fidgeting; it is a systematic, data-gathering heuristic that provides critical sensory feedback to the central executive.

2. Dual-Process Information Architecture

Instrumental NFT operates within cognitive models of consumer information processing (e.g., Bettman, 1979; Kahneman, 2011). Under dual-process models, System 1 represents heuristic, fast, affective processing, whereas System 2 represents analytic, deliberative, rule-governed evaluation. While autotelic touch largely stimulates System 1 affective associations, instrumental touch is an integral mechanism of System 2 deliberative information processing. The consumer uses haptic feedback as hard empirical data to confirm or disconfirm product claims, assess value-to-cost ratios, and verify durability.

3. Perceived Risk Theory and Uncertainty Mitigation

According to classical perceived risk theory (Bauer, 1960; Jacoby & Kaplan, 1972), consumers experience multiple facets of risk during purchasing, including functional risk (will the product perform as expected?), financial risk (will money be wasted?), and physical risk. The instrumental NFT framework conceptualizes physical touch as a primary risk-reduction strategy. In products where material properties determine functionality (e.g., apparel, furniture, footwear, electronics), the absence of tactile contact introduces substantial epistemic uncertainty. For high-NFT-I individuals, tactile deprivation induces a severe cognitive barrier, directly driving down purchase intentions unless mitigated by institutional trust, generous return guarantees, or third-party certifications.

4. Embodied Cognition

Modern extensions of instrumental touch incorporate principles of embodied cognition (Barsalou, 2008; Krishna, 2012). This framework posits that cognitive schemas are fundamentally grounded in sensorimotor systems. When consumers interact physically with products, tactile inputs ground abstract product evaluations in visceral physical realities. Instrumental touch bridges the gap between semantic marketing claims (“heavy-duty construction”) and embodied verification (feeling the solid, dense mass of the item in one’s hands).

Validity

The psychometric validity of the six-item instrumental Need for Touch scale has been exhaustively demonstrated across numerous independent investigations in marketing, sensory science, and behavioral economics.

Construct and Convergent Validity

Construct validity denotes the degree to which an operationalized scale accurately measures the theoretical construct it purports to measure. Across studies by Peck and Childers (2003a, 2003b) and Grohmann et al. (2007), the instrumental NFT items consistently demonstrate strong, statistically significant convergent validity:

• Average Variance Extracted (AVE): The AVE for the instrumental NFT subscale consistently surpasses the recommended threshold of .50, typically falling between .62 and .76, confirming that the variance captured by the construct exceeds variance due to measurement error.
• Factor Loadings: All six standardized item loadings onto the instrumental latent factor routinely exceed .75 (with many exceeding .85), demonstrating high convergent convergence at the manifest variable level.
• Nomological Convergence: Instrumental NFT exhibits theoretically predictable positive correlations with constructs such as Need for Cognition (Cacioppo & Petty, 1982), objective product knowledge, information search duration, and reliance on functional product specifications.

Discriminant Validity

To establish that instrumental NFT is an independent construct rather than a redundant artifact of general sensory interest, researchers have utilized the Fornell-Larcker criterion and heterotrait-monotrait ratio of correlations (HTMT):

• Separation from Autotelic NFT: While instrumental and autotelic NFT correlate moderately (typical inter-factor correlations range between r = .40 and r = .62), confirmatory factor analysis demonstrates that a two-factor model yields significantly superior fit over a constrained single-factor model ($Deltachi^2(1) > 150, p < .001$). The square root of the AVE for instrumental NFT consistently exceeds its correlation with the autotelic factor.
• Independence from Visual Processing Styles: Instrumental NFT demonstrates discriminant validity against visual processing scales (e.g., the Style of Processing scale by Childers, Houston, & Heckler, 1985). Individuals can be highly visual processors without possessing a high instrumental need for touch, and vice versa.
• Differentiation from Impulsive Buying: While autotelic touch correlates strongly with impulsive buying tendencies and sensation seeking, instrumental touch shows near-zero or non-significant correlations with impulsivity, confirming its purely utilitarian, cognitive orientation.

Predictive and Criterion Validity

The predictive power of the six-item instrumental NFT scale has been validated in diverse experimental and field settings:

• Product Evaluation under Tactile Availability vs. Deprivation: In the landmark study by Grohmann, Spangenberg, and Sprott (2007), tactile input interacted significantly with instrumental NFT. High-instrumental-NFT consumers evaluated retail product offerings significantly more favorably when tactile interaction was permitted compared to when it was blocked by clear acrylic barriers. For low-instrumental-NFT individuals, tactile access had negligible effects on product appraisals.
• Channel Preference and E-Commerce Adoption: Research repeatedly shows that high-instrumental-NFT consumers express lower initial willingness to purchase tactile-dependent goods online unless high-resolution 3D interactive rotations, generous return guarantees, or free shipping models are present.
• Confidence and Willingness to Pay (WTP): When touching products with variable material properties, high-instrumental consumers report substantial gains in confidence and show higher WTP compared to conditions where only visual descriptions are provided.

Reliability

The six-item instrumental Need for Touch scale demonstrates exceptional psychometric reliability across diverse demographic cohorts, national cultures, and experimental contexts.

Internal Consistency

Internal consistency estimates quantify the degree to which all manifest items evaluate the identical latent construct. Multiple validation studies report metrics well above standard psychometric benchmarks (e.g., Nunnally & Bernstein, 1994 threshold of .70 for research, .80 for applied diagnostics):

• Cronbach’s Alpha ($lpha$): In the initial instrument validation by Peck and Childers (2003a), the instrumental scale produced an alpha of .89 in adult consumer samples. In Grohmann et al. (2007), the instrumental alpha reached .90. Subsequent cross-cultural studies in Europe, Asia, and the Americas consistently report Cronbach’s alpha values ranging between .88 and .94.
• Composite Reliability ($CR$): In structural equation modeling evaluations, composite reliability coefficients for the six items consistently exceed .91, indicating minimal random measurement error.
• McDonald’s Omega ($\omega$): Recent psychometric evaluations utilizing modern structural reliability coefficients confirm omega hierarchical values exceeding .89, demonstrating that the common variance is overwhelmingly driven by the general instrumental factor rather than specific item residual variance.

Test-Retest Stability

Because instrumental NFT is conceptualized as an enduring personality disposition rather than a fluctuating emotional state, temporal stability is critical. Peck and Childers (2003a) evaluated test-retest reliability across a three-week interval, yielding a stability correlation of $r = .81$ ($p < .001$). Follow-up longitudinal testing over multi-month windows demonstrates test-retest coefficients maintaining levels between .76 and .84, verifying that the instrumental need for touch remains stable across extended time frames.

Factor Analysis

Extensive factor-analytic investigations have scrutinized the latent dimensional structure of the instrumental Need for Touch scale using both Exploratory Factor Analysis (EFA) and Confirmatory Factor Analysis (CFA).

Exploratory Factor Analysis (EFA)

During initial scale development, when all candidate items of the overall Need for Touch pool were subjected to principal axis factoring and maximum likelihood extraction with oblique rotation (Promax / Direct Oblimin):

• A clear, clean two-factor solution emerged corresponding precisely to the theoretical division of Instrumental and Autotelic touch.
• The six instrumental items loaded heavily onto their designated factor, with all primary factor loadings exceeding .70.
• Cross-loadings onto the autotelic factor were exceptionally low (consistently below .20), confirming clean hyper-plane separation.
• The instrumental factor accounted for a substantial proportion of total item variance (typically > 45% in standalone extraction).

Confirmatory Factor Analysis (CFA)

Subsequent investigations utilizing structural equation modeling (SEM) software (e.g., AMOS, Mplus, LISREL, lavaan) have subjected the six-item instrumental scale to rigorous CFA testing. In both standalone single-factor specifications and within the broader two-factor NFT paradigm, the empirical data demonstrate superior fit:

Standardized Factor Loadings

Across empirical CFA models, standardized path coefficients ($lambda$) connecting each of the six observed variables to the latent Instrumental NFT factor demonstrate homogeneous, high-magnitude loadings:

• Item 1: $lambda pprox .78 – .85$
• Item 2: $lambda pprox .80 – .88$
• Item 3: $lambda pprox .84 – .91$
• Item 4: $lambda pprox .82 – .89$
• Item 5: $lambda pprox .75 – .84$
• Item 6: $lambda pprox .85 – .92$

Measurement invariance testing across demographic groups (e.g., biological sex, age brackets) and retail shopping modalities (online shoppers versus in-store shoppers) demonstrates robust configural, metric (weak), and scalar (strong) invariance, ensuring that observed differences in means or structural coefficients reflect true differences in the underlying construct.

Instrument / Measurement Tool

The operational characteristics, administration requirements, and computational protocols for the instrumental Need for Touch scale are detailed below:

• Test Type: Self-report psychological assessment / dispositional psychometric rating scale.
• Format: Written questionnaire administered in paper-and-pencil or online digital survey environments.
• Number of Items: 6 items (unidimensional subscale).
• Response Scale: 7-point Likert response continuum anchored as follows:
  • 1 = Strongly Disagree
  • 2 = Disagree
  • 3 = Somewhat Disagree
  • 4 = Neither Agree nor Disagree (Neutral)
  • 5 = Somewhat Agree
  • 6 = Agree
  • 7 = Strongly Agree
• Target Population: Adolescent and adult consumers (general consumer population, ages 16+).
• Administration Duration: Approximately 1.5 to 3 minutes.
• Scoring and Computational Rules:
  • All six items are scored in a direct positive direction. There are no reverse-coded items in this specific subscale.
  • Composite Index Calculation: Compute the arithmetic mean of all 6 items:
    
    $$\text{NFT-I Score} = \frac{\sum_{i=1}^{6} \text{Item}_i}{6}$$
    Alternatively, researchers calculating total summative scores can sum the six responses, resulting in an integer range from 6 to 42.
  • Interpretation of Scores: Higher numerical values reflect a stronger cognitive reliance on pre-purchase tactile exploration. Mean scores $ge 5.0$ typically denote high instrumental touch sensitivity, scores between $3.0$ and $4.9$ reflect moderate reliance, and scores $< 3.0$ characterize consumers who are comfortable relying on non-haptic (visual/textual) surrogates.
  • Analytic Utilization: Researchers may treat the score as a continuous moderator in regression / SEM interactions or utilize median splits / quartile boundaries for multi-cell experimental designs (though continuous modeling is psychometrically preferred to avoid artificial loss of statistical power).

Permissions & Fee and Test Year

The original two-factor Need for Touch measurement battery was introduced in 2003 by Joann Peck and Terry L. Childers and published in the Journal of Consumer Research (2003a) and the Journal of Marketing (2003b). The targeted retail implementation and validation of the six-item instrumental scale discussed herein was published by Bianca Grohmann, Eric R. Spangenberg, and David E. Sprott in 2007 in the Journal of Retailing.

Licensing and Academic Usage Permissions:

• Academic Research: The scale items are publicly documented in the referenced peer-reviewed academic literature. Under standard academic fair-use guidelines, university-affiliated researchers, educators, and graduate students may reproduce and administer the scale for non-commercial scientific research without paying licensing fees, provided that appropriate scholarly attribution is formally cited.
• Commercial and Proprietary Enterprise Use: Commercial organizations, retail consulting agencies, or software developers seeking to integrate the scale into proprietary consumer profiling platforms or commercial diagnostic testing suites should review copyright policies of the publishing journals (Elsevier / Journal of Retailing and Oxford University Press / Journal of Consumer Research) or secure explicit permission from the original scale authors.

References

• Barsalou, L. W. (2008). Grounded cognition. Annual Review of Psychology, 59, 617-645. https://doi.org/10.1146/annurev.psych.59.103006.093639
• Bauer, R. A. (1960). Consumer behavior as risk taking. In R. S. Hancock (Ed.), Dynamic Marketing for a Changing World (pp. 389-398). American Marketing Association.
• Bettman, J. R. (1979). An Information Processing Theory of Consumer Choice. Addison-Wesley.
• Cacioppo, J. T., & Petty, R. E. (1982). The need for cognition. Journal of Personality and Social Psychology, 42(1), 116-131. https://doi.org/10.1037/0022-3514.42.1.116
• Childers, T. L., Houston, M. J., & Heckler, S. E. (1985). Measurement of individual differences in visual versus verbal information processing. Journal of Consumer Research, 12(2), 125-134. https://doi.org/10.1086/208501
• Grohmann, B., Spangenberg, E. R., & Sprott, D. E. (2007). The influence of tactile input on the evaluation of retail product offerings. Journal of Retailing, 83(2), 237-245. https://doi.org/10.1016/j.jretai.2006.09.001
• Jacoby, J., & Kaplan, L. B. (1972). The components of perceived risk. Advances in Consumer Research, 3, 382-393.
• Kahneman, D. (2011). Thinking, Fast and Slow. Farrar, Straus and Giroux.
• Krishna, A. (2012). An integrative review of sensory marketing: Engaging the senses to affect perception, judgment and behavior. Journal of Consumer Psychology, 22(3), 332-351. https://doi.org/10.1016/j.jcps.2011.08.003
• Lederman, S. J., & Klatzky, R. L. (1987). Hand movements: A window into haptic object recognition. Cognitive Psychology, 19(3), 342-368. https://doi.org/10.1016/0010-0285(87)90008-9
• McCabe, D. B., & Nowlis, S. M. (2003). The effect of examining online and offline products on the need for touch: Implications for online retail. Journal of Consumer Psychology, 13(4), 431-439. https://doi.org/10.1207/S15327663JCP1304_10
• Nunnally, J. C., & Bernstein, I. H. (1994). Psychometric Theory (3rd ed.). McGraw-Hill.
• Peck, J., & Childers, T. L. (2003a). Individual differences in haptic information processing: The “Need for Touch” scale. Journal of Consumer Research, 30(3), 430-442. https://doi.org/10.1086/378619
• Peck, J., & Childers, T. L. (2003b). To have and to hold: The influence of haptic information on product evaluations. Journal of Marketing, 67(2), 35-48. https://doi.org/10.1509/jmkg.67.2.35.18612
• Peck, J., & Wiggins, J. (2006). It just feels good: Customers’ affective response to touch and its influence on persuasion. Journal of Marketing, 70(4), 58-69. https://doi.org/10.1509/jmkg.70.4.058

Items of the Scale