Food Involvement Scale (FIS)

Abstract

The Food Involvement Scale (FIS), developed by Richard Bell and David W. Marshall in 2003, is an established psychometric instrument designed to assess the degree to which food and eating activities occupy a central, vital, and emotionally salient role in an individual's life. Grounded in consumer involvement theory, the FIS conceptualizes food involvement as a stable personality-like disposition that influences how people engage with food across five discrete behavioral stages: acquisition, preparation, cooking, eating, and disposal. The instrument consists of 12 self-report items administered on a 7-point Likert scale, ranging from 1 ("Strongly disagree") to 7 ("Strongly agree"). Six items are positively valenced and six items require reverse scoring to mitigate acquiescence bias. Psychometric evaluations across diverse cross-cultural cohorts demonstrate acceptable internal consistency, with Cronbach's alpha coefficients typically spanning 0.72 to 0.85, along with robust test-retest reliability across multi-week evaluation intervals. The scale exhibits strong construct, convergent, and predictive validity, distinguishing individuals based on sensory discrimination acuity, nutritional label scrutiny, organic and premium grocery purchases, and interest in culinary tourism. While originally conceptualized as a unidimensional construct of overall involvement, subsequent structural equation modeling and confirmatory factor analyses have identified both single-factor and correlated two-factor architectures (differentiating culinary preparation from eating consumption). The FIS remains an indispensable tool across nutritional epidemiology, sensory science, food marketing, and clinical behavioral medicine.

Keywords

Food Involvement Scale, food involvement, consumer involvement, psychometrics, food choice, sensory evaluation, dietary behavior, culinary tourism, Appetite, scale validation, eating psychology, nutritional labeling

Authors

The Food Involvement Scale was developed and validated by:

• Richard Bell, Ph.D. — CSIRO Human Nutrition / Food Science Australia, Sensory and Consumer Science, North Ryde, New South Wales, Australia.
• David W. Marshall, Ph.D. — Professor of Marketing and Consumer Behaviour, University of Edinburgh Business School, Edinburgh, Scotland, United Kingdom.

Purpose

Understanding the multidimensional mechanisms governing human food choice is a primary objective in sensory analysis, public health nutrition, and consumer psychology. While traditional models focused largely on demographic variables, socio-economic status, or biological hunger mechanisms, they frequently failed to account for significant inter-individual variation in dietary behaviors among people sharing identical socio-demographic profiles. Researchers frequently observed that two consumers with comparable financial means and nutritional literacy might exhibit completely divergent behaviors toward meal preparation, sensory exploration, and food selection. Bell and Marshall (2003) developed the Food Involvement Scale (FIS) to capture this latent psychological variance by quantifying the subjective importance, cognitive bandwidth, and emotional investment an individual dedicates to food-related activities.

In applied research, the FIS serves multiple theoretical and practical functions:

• Sensory and Consumer Science: The instrument identifies sensory acuity differences; individuals with elevated food involvement demonstrate heightened sensitivity in discriminating subtle chemical and textural nuances in food products, making the scale a vital screening covariate in descriptive sensory panels and hedonic consumer taste testing.
• Nutritional Interventions and Public Health: High food involvement correlates positively with dietary diversity, engagement with front-of-pack nutritional labeling, and adherence to preventative dietary guidelines. Conversely, low food involvement often signals a pragmatic "food as fuel" mentality, where individuals prioritize convenience foods, ultra-processed options, and minimal meal preparation time.
• Food Marketing and Commercial Strategy: Marketers utilize the FIS to segment target audiences for premium, functional, artisanal, and organic food categories. High-involvement consumers actively seek provenance narratives, sustainable production certifications, and complex culinary attributes.
• Hospitality and Tourism Research: The scale serves as a core predictor of gastronomic tourism, regional food exploration, and experiential dining expenditures, distinguishing destination-oriented culinary travelers from passive travelers.
• Clinical Behavioral Medicine: The FIS provides an empirical baseline to differentiate healthy culinary enthusiasm and non-pathological epicurean interest from pathological fixations seen in orthorexia nervosa or binge eating disorder.

Psychological Construct

The construct of food involvement is defined as the level of personal relevance, emotional resonance, and cognitive importance that food and eating hold for an individual. Bell and Marshall (2003) expanded upon consumer involvement models by asserting that food cannot be examined merely as an isolated commercial product; rather, it encompasses a holistic, daily behavioral lifecycle spanning five continuous phases:

1. Acquisition

This phase encompasses the mental planning, exploration, and purchasing of ingredients or ready-to-eat foodstuffs. Highly involved individuals allocate considerable cognitive resources to assessing quality indicators, selecting fresh produce, investigating local markets, and reading food labels. Less involved individuals view food acquisition as an administrative chore to be minimized via convenience-driven or habitual purchasing patterns.

2. Preparation

Preparation pertains to the intermediate tasks that precede heat application or direct serving, including washing, chopping, marinating, and arranging food components. For high-involvement individuals, preparation is an immersive, sensory-rich process linked to creative expression and anticipation. Low-involvement individuals tend to bypass preparation through pre-packaged, pre-cut, or pre-assembled meals.

3. Cooking

Cooking represents the transformative culinary stage involving thermal processing, seasoning, and technique execution. High-involvement individuals derive intrinsic pleasure from cooking and barbecue practices (captured directly by items such as "Cooking or barbecuing is fun" and "I enjoy cooking for others and myself"). They perceive cooking as a leisure activity and an interpersonal medium for socialization, whereas low-involvement counterparts view it as an onerous household duty.

4. Eating and Sensory Consumption

The consumption phase reflects the direct oral, olfactory, and hedonic interaction with food. Central to this dimension is whether food is treated merely as physiological sustenance ("food is only fuel to keep me going") or as a source of aesthetic, sensory, and social enjoyment. Highly involved consumers exhibit deep mindfulness during consumption, frequently analyzing flavor profiles, meal balance, and presentation ("Table setting or meal presentation is not important to me" [reversed]). Furthermore, mealtimes serve as core organizing hubs in their daily schedules ("My life is organized around mealtimes").

5. Disposal and Clean-Up

The lifecycle concludes with post-prandial activities, including managing leftovers, washing dishes, and cleaning dining areas. Bell and Marshall discovered that food involvement extends even into domestic post-consumption duties. Items evaluating attitudes toward post-meal cleaning ("I do most or all of the clean-up after eating"; "I do not like to wash dishes or clean up") demonstrate how an individual's commitment to food rituals governs their willingness to engage in the complete culinary ecosystem.

Theoretical Framework

The conceptual genesis of the Food Involvement Scale rests upon foundational theories in consumer behavior and cognitive psychology, most notably Judith Lynne Zaichkowsky's (1985) Personal Involvement Inventory (PII) and the broader construct of ego-involvement formulated by Muzafer Sherif and Hadley Cantril (1947).

In social judgment theory, ego-involvement designates the degree to which an external stimulus, issue, or activity is tied to an individual's central self-concept and core psychological identity. Zaichkowsky adapted this paradigm to marketing, defining involvement as an individual's perceived relevance of an object based on inherent needs, values, and interests. While early involvement scholarship focused primarily on high-cost durable goods (such as automobiles or home appliances), Bell and Marshall posited that dietary decisions—despite occurring multiple times per day—carry variable levels of ego-involvement that systematically modulate cognitive processing.

The theoretical framework interacts intimately with dual-process models of cognition, such as Petty and Cacioppo's (1986) Elaboration Likelihood Model (ELM):

• Central Route Processing (High Involvement): Individuals scoring high on the FIS dedicate extensive cognitive elaboration to food decisions. They actively evaluate informational cues (ingredient lists, country of origin, ethical sourcing certifications) and integrate complex sensory inputs. Food choice is driven by conscious value systems, sensory curiosity, and self-actualization.
• Peripheral Route Processing (Low Involvement): Individuals scoring low on the FIS rely predominantly on heuristic decision rules, habituation, physical convenience, and brand familiarity. Food represents a biological necessity required to stave off energy deficits, prompting low cognitive elaboration.

Furthermore, the FIS integrates concepts from Self-Determination Theory (Deci & Ryan, 2000). Highly involved food consumers engage with culinary preparation and tasting via autonomous, intrinsic motivation—experiencing culinary creation as an expression of competence, autonomy, and relatedness (cooking for loved ones). In contrast, low-involvement consumers experience food preparation via external or introjected regulation, approaching meal generation as an externally imposed domestic obligation.

Validity

The Food Involvement Scale has undergone rigorous psychometric evaluation across diverse national, cultural, and behavioral contexts, confirming its construct, convergent, discriminant, and predictive validity.

Construct and Convergent Validity

Bell and Marshall (2003) established construct validity through correlations with related personality and eating behavior constructs:

• Food Neophobia: The FIS demonstrates a consistent, statistically significant negative correlation with the Food Neophobia Scale (FNS; Pliner & Hobden, 1992). Individuals exhibiting high food involvement are significantly less reluctant to try unfamiliar ethnic or novel foods ($r \approx -0.25$ to $-0.38$, $p < .001$), highlighting that food involvement promotes dietary exploration rather than food avoidance.
• Sensory Variety Seeking: The FIS positively correlates with the VARSEEK scale (Van Trijp & Steenkamp, 1992), indicating that highly involved individuals proactively pursue sensory complexity, novel flavor profiles, and diverse dietary textures ($r \approx 0.35$ to $0.44$, $p < .001$).
• Cooking Self-Efficacy and Knowledge: High FIS scores reliably correlate with objective food preparation literacy, cooking frequency, culinary repertoire size, and self-reported culinary confidence ($r > 0.50$).

Predictive and Criterion Validity

The behavioral predictability of the FIS represents one of its strongest psychometric assets:

• Sensory Discrimination Acuity: In their foundational experimental trials, Bell and Marshall (2003) demonstrated that participants scoring in the upper tercile of the FIS exhibited superior sensory discrimination capacities. In controlled triangle taste tests using commercial blackcurrant beverages and herbal spreads, high-involvement individuals detected subtle formulation alterations and ingredient concentrations with significantly higher accuracy than low-involvement peers, despite having no prior formal sensory panel training.
• Food Labeling Engagement: Subsequent empirical investigations (e.g., Eertmans et al., 2005) established that high FIS scores predict systematic reading of nutritional panels, ingredient listings, and eco-labels during grocery store simulations.
• Culinary Tourism and Organic Purchasing: In hospitality and marketing literature, high FIS scores reliably predict willingness to pay price premiums for organic, local, and fair-trade foodstuffs, alongside a stronger propensity to travel specifically for gastronomic experiences (Chen, 2007).

Discriminant Validity

The FIS demonstrates robust discriminant validity from general life satisfaction, generalized neuroticism, and baseline body mass index (BMI). The scale measures the psychological salience of food rather than physiological weight status, ensuring that an elevated FIS score reflects authentic culinary interest rather than somatic adiposity or disordered eating pathology.

Reliability

Empirical studies across multiple languages and sample demographics confirm that the FIS possesses solid internal consistency and temporal stability.

Internal Consistency

In the original scale validation by Bell and Marshall (2003), the complete 12-item scale yielded an overall Cronbach's alpha of $\alpha = 0.72$ across standard community samples ($N = 265$) and $\alpha = 0.75$ in university cohorts. While early iterations containing 20+ exploratory items displayed minor item redundancy, the pruned 12-item inventory maximized internal consistency while preserving domain coverage across all five food lifecycle stages.

Subsequent international validation studies have reported comparable or superior coefficients:

• Eertmans et al. (2005) recorded a Cronbach's alpha of $\alpha = 0.77$ in a Belgian sample ($N = 437$).
• Chen (2007) reported an alpha of $\alpha = 0.81$ when administering a translated version in Taiwan.
• Recent consumer investigations in North American and Australian cohorts document composite reliabilities and Cronbach's alphas typically spanning $0.78$ to $0.84$, demonstrating that the scale consistently measures a coherent psychological construct.

Test-Retest Reliability and Temporal Stability

The temporal stability of the FIS was verified by Bell and Marshall across a four-week test-retest administration protocol, yielding an intra-class correlation coefficient of $r = 0.76$ ($p < .001$). Extended test-retest assessments spanning 8 to 12 weeks have maintained coefficients ranging from $0.71$ to $0.79$, confirming that food involvement behaves as a stable, trait-like disposition over time rather than a transient, state-dependent response to acute hunger or temporary appetite fluctuations.

Factor Analysis

The latent structural dimensionality of the Food Involvement Scale has been a focal point of discussion in psychometric food research, with literature offering evidence for both a unidimensional model and a correlated two-factor structure.

Exploratory Factor Analysis (EFA)

During initial instrument development, Bell and Marshall (2003) conducted an Exploratory Factor Analysis using Principal Axis Factoring with Varimax rotation on a 25-item pilot pool. The scree plot and eigenvalue analysis identified two dominant underlying dimensions accounting for the majority of common variance:

• Factor 1: Preparation and Food Production: This factor accounted for items directly evaluating domestic meal planning, culinary technique, dishwashing, and cooking enjoyment (e.g., Items 2, 6, 7, 9).
• Factor 2: Eating, Consumption, and Food Salience: This factor loaded heavily on items reflecting sensory appreciation, conversational interest in dining, travel anticipation, and food centrality (e.g., Items 1, 3, 4, 5, 8, 10, 11, 12).

Despite these distinct sub-domains, the authors noted moderate-to-high inter-factor correlations ($r > 0.45$), justifying their decision to combine all 12 retained items into a single composite score reflecting global food involvement.

Confirmatory Factor Analysis (CFA) and Model Fit

Later psychometric investigations utilizing Confirmatory Factor Analysis (CFA) have formally compared the single-factor model against multidimensional alternatives:

• Belgian Validation (Eertmans et al., 2005): CFA testing the unidimensional 12-item model demonstrated borderline-to-acceptable fit indices: $\chi^2/df = 2.85$, Root Mean Square Error of Approximation ($\text{RMSEA}$) $= 0.065$, Comparative Fit Index ($\text{CFI}$) $= 0.901$, and Standardized Root Mean Square Residual ($\text{SRMR}$) $= 0.058$. Specifying a two-factor correlated model (Culinary Preparation vs. Sensory Consumption) improved fit metrics significantly ($\text{CFI} = 0.942$, $\text{RMSEA} = 0.051$).
• Cross-Cultural Adaptations: Multiple cross-cultural evaluations note that items addressing dishwashing and post-meal clean-up (Item 6: "I do most or all of the clean-up after eating" and Item 9: "I do not like to wash dishes or clean up") exhibit lower factor loadings on the primary food involvement factor in households where domestic chores are highly gender-stratified or outsourced. Consequently, several researchers advocate evaluating clean-up items carefully or calculating both a global composite score and two correlated subscales when examining culinary mechanics separately from sensory appreciation.

Instrument / Measurement Tool

• Instrument Name: Food Involvement Scale (FIS)
• Original Authors: Richard Bell and David W. Marshall (2003)
• Assessment Type: Quantitative self-report psychometric rating scale
• Item Count: 12 items
• Administration Time: Approximately 3 to 5 minutes
• Target Population: Adults and adolescents (ages 14 and above); adaptable for community, clinical, sensory, and consumer cohorts
• Response Scale: 7-point Likert scale (1 = Strongly disagree to 7 = Strongly agree)
  • 1 = Strongly disagree
  • 2 = Disagree
  • 3 = Somewhat disagree
  • 4 = Neither agree nor disagree
  • 5 = Somewhat agree
  • 6 = Agree
  • 7 = Strongly agree
• Reverse-Scored Items: Items 3, 4, 8, 9, 11, and 12 are reverse-scored (R). Reverse coding formula: $\text{Score}_{\text{reversed}} = 8 – \text{Score}_{\text{raw}}$.
• Scoring Protocol: After inverting the scores of the designated reverse-scored items, sum all 12 item responses to yield a composite total score ranging from 12 to 84. Higher scores reflect greater food involvement, sensory salience, and culinary engagement. Alternatively, researchers may compute a mean score (ranging from 1.0 to 7.0) by dividing the sum by 12.

Permissions & Fee and Test Year

The Food Involvement Scale was initially published in 2003 in the peer-reviewed academic journal Appetite (Elsevier). As a standard psychometric instrument developed for academic and scientific research, the scale items are published in full in the original 2003 validation article. Researchers, clinicians, and educators may utilize the FIS without purchasing commercial testing licenses or paying per-administration royalties for non-commercial research, academic, and clinical purposes, provided appropriate scholarly attribution and citation are given to Bell and Marshall (2003). For commercial deployment, proprietary software integration, or fee-for-service market research operations, practitioners must consult copyright policies and terms set forth by the original publisher (Elsevier) and the corresponding authors.

References

• Bell, R., & Marshall, D. W. (2003). The construct of food involvement in behavioral research: Scale development and validation. Appetite, 40(3), 235–244. https://doi.org/10.1016/S0195-6663(03)00009-6
• Chen, M. F. (2007). Consumer attitudes and purchase intentions in relation to organic foods in Taiwan: Moderating effects of food-related personality traits. Food Quality and Preference, 18(7), 1008–1021. https://doi.org/10.1016/j.foodqual.2007.04.004
• Deci, E. L., & Ryan, R. M. (2000). The "what" and "why" of goal pursuits: Human needs and the self-determination of behavior. Psychological Inquiry, 11(4), 227–268. https://doi.org/10.1207/S15327965PLI1104_01
• Eertmans, A., Victoir, A., Vansant, G., & Van den Bergh, O. (2005). Food-related personality traits, dietary intake and body weight: An analytical study. Appetite, 45(3), 242–249. https://doi.org/10.1016/j.appet.2005.07.001
• Marshall, D. W., & Bell, R. (2004). Relating the food involvement scale to market food choices. Food Quality and Preference, 15(7–8), 871–881. https://doi.org/10.1016/j.foodqual.2004.04.009
• Petty, R. E., & Cacioppo, J. T. (1986). The elaboration likelihood model of persuasion. In Communication and Persuasion (pp. 1–24). Springer, New York, NY. https://doi.org/10.1007/978-1-4612-4964-1_1
• Pliner, P., & Hobden, K. (1992). Development of a scale to measure the trait of food neophobia in humans. Appetite, 19(2), 105–120. https://doi.org/10.1016/0195-6663(92)90014-W
• Sherif, M., & Cantril, H. (1947). The Psychology of Ego-Involvements: Social Attitudes and Identifications. John Wiley & Sons.
• Van Trijp, H. C., & Steenkamp, J. E. (1992). Consumers' variety seeking tendency with respect to foods: Measurement and managerial implications. European Advances in Consumer Research, 1, 400–408.
• Zaichkowsky, J. L. (1985). Measuring the involvement construct. Journal of Consumer Research, 12(3), 341–352. https://doi.org/10.1086/208520

Items of the Scale