Destination Image Scale (DIS)

1. Abstract

The Destination Image Scale (DIS), grounded conceptually in the seminal tripartite structural framework articulated by Seyhmus Baloglu and Ken W. McCleary (1999), represents one of the most widely implemented psychometric and diagnostic instruments in tourism marketing, consumer psychology, and environmental appraisal. Destination image is defined as the sum of beliefs, ideas, and impressions that a person holds toward a geographic entity or travel destination. Recognizing that human attitudes toward places are multidimensional and hierarchically configured, the DIS operationalizes destination evaluation across three interdependent structural dimensions: cognitive image (the individual’s knowledge, perceptual beliefs, and functional appraisals of specific destination attributes, such as infrastructure, climate, cleanliness, and cultural heritage), affective image (the underlying emotional and valenced feeling states evoked by the destination, captured through semantic differential dimensions such as pleasant–unpleasant, exciting–gloomy, relaxing–distressing, and arousing–sleepy), and conative image (the behavioral intention, willingness to visit, and likelihood of word-of-mouth recommendation).

Methodologically, the instrument integrates multi-item Likert-type scales (typically 7-point formats ranging from 1 = strongly disagree to 7 = strongly agree) for cognitive and conative assessments, paired with Russell’s bi-polar semantic differential scales (typically 7-point scales) to capture affective appraisals. Psychometric evaluations across diverse geographical markets, cross-cultural traveler cohorts, and varying tourism modalities consistently demonstrate robust internal consistency (Cronbach’s alpha values typically exceeding .80 to .92 across dimensions), rigorous convergent and discriminant validity, and exceptional predictive validity concerning actual visitation behavior and destination loyalty. The DIS serves as a foundational paradigm for scholars and destination marketing organizations (DMOs) seeking to decode how external stimulus factors (such as tourism information sources and prior travel experience) and internal sociopsychological motivations interact to generate destination perceptions, govern consumer decision-making, and drive strategic positioning in international travel markets.

2. Keywords

destination image scale, cognitive image, affective image, conative image, tourism psychology, destination choice, place attachment, attitude theory, structural equation modeling, psychometrics, consumer behavior, travel motivation

3. Authors

The foundational theoretical and operational model of the Destination Image Scale was developed and formalized by:

• Seyhmus Baloglu, Ph.D. — Professor and Harrah Distinguished Chair in Tourism and Hospitality Marketing at the William F. Harrah College of Hospitality, University of Nevada, Las Vegas (UNLV), Las Vegas, Nevada, United States. Dr. Baloglu is an internationally recognized scholar in consumer psychology, structural modeling of customer attitudes, service quality, and brand positioning in the hospitality and tourism sectors.
• Ken W. McCleary, Ph.D. — Professor Emeritus of Hospitality and Tourism Management at the Pamplin College of Business, Virginia Polytechnic Institute and State University (Virginia Tech), Blacksburg, Virginia, United States. Dr. McCleary has contributed extensively to the empirical study of traveler decision processes, hospitality marketing strategies, and consumer evaluation paradigms.

Correspondence regarding the original framework can be traced to the Department of Tourism and Convention Administration, University of Nevada, Las Vegas, 4505 Maryland Parkway, Las Vegas, NV 89154-6023, USA.

4. Purpose

The primary purpose of the Destination Image Scale is to provide an empirically validated, psychometrically sound, and conceptually comprehensive methodology for quantifying, deconstructing, and diagnosing an individual’s psychological image of a geographical territory, nation, region, or city. Destination selection represents a high-involvement, psychologically complex, and economically non-trivial consumer decision characterized by experiential intangibility. Because prospective travelers cannot inspect or consume a travel destination prior to physical arrival, they rely almost exclusively on their subjective mental constructs—their internal destination image—to filter alternatives, assess risk, anticipate hedonic or eudaimonic benefits, and finalize purchasing decisions.

From an applied and strategic perspective, destination marketing organizations, governmental tourism ministries, and commercial hospitality enterprises utilize the DIS to establish empirical baselines of consumer perception. By mapping cognitive attribute ratings alongside affective emotional reactions, marketers can pinpoint specific experiential deficits—such as poor perceived safety, subpar infrastructural accessibility, or unappealing perceived entertainment—while isolating emotional disconnects (e.g., an area being evaluated as highly functional but emotionally sterile or boring). Furthermore, longitudinal deployment of the scale facilitates tracking the efficacy of global promotional campaigns, nation-branding initiatives, and crisis recovery efforts following geopolitical upheavals, environmental disasters, or health crises.

In academic and clinical-psychological domains, the scale addresses fundamental questions regarding environmental appraisal, cognitive spatial mapping, and human-place transactions. Grounded in broader psychological paradigms, the DIS enables researchers to systematically investigate how pre-trip mental models influence on-site experiential evaluations, post-visit satisfaction, perceived value, and subsequent tourist well-being. By distinguishing between cognitive perceptions and emotional responses, the scale uncovers the psychological mechanisms through which external stimuli (e.g., promotional media, autonomous news coverage, social media interactions, organic word-of-mouth) and internal psychological motivations (e.g., novelty seeking, escape, status, socialization) interact to drive travel attitudes and determine conative outcomes.

5. Psychological Construct

The psychological construct assessed by the DIS is destination image, conceptualized in environmental psychology and attitude theory as a multidimensional mental representation comprising cognitive, affective, and conative layers. Rather than operating as an undifferentiated, unitary attitude, destination image reflects an organized network of cognitive associations and affective evaluations stored in human memory that dictate behavioral intention.

1. Cognitive Dimension (Knowledge-Based Beliefs)

The cognitive component reflects the individual’s objective and subjective knowledge, beliefs, and intellectual appraisals of specific physical, social, and functional attributes of a place. Within the psychometric architecture of the DIS, this construct is typically structured around distinct environmental domains:

• Quality of Experiences and Attractions: Perceptions concerning natural scenery, historical and cultural landmarks, architectural distinctiveness, variety of recreational pursuits, and cultural authenticity.
• Attractions and Entertainment: Beliefs regarding vibrant nightlife, diverse culinary offerings, shopping environments, festivals, and specialized leisure amenities.
• Environment and Infrastructure: Evaluations of standard living conditions, public cleanliness, climatic comfort, personal safety, transport networks, telecommunications quality, and lodging standards.
• Sociocultural Interpersonal Environment: Perceptions regarding the hospitality, friendliness, linguistic accessibility, and perceived warmth of local residents.

For example, an individual may evaluate a destination with high cognitive scores for cultural heritage and scenic beauty, but simultaneously assign low cognitive scores to personal safety or public hygiene.

2. Affective Dimension (Emotional Appraisals)

The affective dimension encapsulates an individual’s emotional responses, feelings, and visceral reactions toward the destination. Rooted deeply in James Russell’s circumplex model of affect, affective destination image evaluates where a location resides within a two-dimensional emotional space formed by valence (pleasure–displeasure) and arousal (activation–deactivation). The DIS operationalizes this construct across four standardized bipolar emotional axes:

• Pleasant vs. Unpleasant: The fundamental hedonic valence attributed to the destination environment.
• Exciting vs. Gloomy: The degree to which the destination stimulates positive, energetic, and engaging emotional states versus depressing, dull impressions.
• Relaxing vs. Distressing: The capacity of the location to induce tranquility, stress reduction, and peace versus tension, anxiety, or cognitive friction.
• Arousing vs. Sleepy: The perceived intensity, vitality, and sensory dynamism of the environmental milieu.

Cognitive evaluations directly serve as structural antecedents to affective evaluations; an individual processes functional information (cognitive) which subsequently crystallizes into an overarching emotional feeling (affective) toward the destination.

3. Conative Dimension (Behavioral Intentions)

The conative component constitutes the action-oriented or behavioral sequence of the attitude construct, representing the tourist’s prospective intentions, commitments, and actualization tendencies toward the destination. Drawing on Fishbein and Ajzen’s Theory of Reasoned Action and Theory of Planned Behavior, conation bridges mental representations with concrete physical behaviors. The DIS operationalizes conative image through:

• Intent to Visit: The subjective probability or explicit commitment to travel to the destination within a designated temporal window (e.g., within the next 12 to 24 months).
• Recommendation Likelihood: The willingness to serve as an active advocate by endorsing the location to friends, colleagues, and family via personal communication or electronic word-of-mouth (eWOM).
• Revisit Intention: For experienced travelers, the stated desire to return to the location for subsequent vacations.

6. Theoretical Framework

The theoretical foundation of the Destination Image Scale synthesizes classical cognitive psychology, attitude theory, and environmental psychophysics. Specifically, the framework is anchored in three primary theoretical traditions:

The Tripartite Model of Attitudes

Classical social psychology, notably advanced by Gordon Allport, Rosenberg and Hovland (1960), and later refined by Alice Eagly and Shelly Chaiken, posits that an attitude is composed of three interconnected elements: Cognition (beliefs, information, facts), Affect (feelings, moods, sympathetic nervous responses), and Conation (overt actions, behavioral tendencies). Baloglu and McCleary (1999) adapted this tripartite model to spatial environments, demonstrating empirically that individuals do not make travel decisions based merely on a disorganized collection of place facts; rather, beliefs (cognition) form the structural basis upon which affective impressions (affect) are forged, and both cognitive and affective evaluations interact to guide behavioral choices (conation).

Russell’s Spatial Model of Affective Quality

To measure the emotional component of place perception without idiosyncratic qualitative ambiguity, the scale leverages James A. Russell’s (1980) circumplex model of affect and environmental affective quality (Russell & Pratt, 1980). Russell demonstrated that affective responses to physical environments are universally organized across two orthogonal bipolar dimensions: hedonic tone (pleasure) and degree of physiological arousal. By translating these intersecting axes into measurable semantic differentials, the DIS enables quantitative mapping of places into distinct emotional quadrants: exciting (high pleasure, high arousal), relaxing (high pleasure, low arousal), gloomy (low pleasure, low arousal), and distressing (low pleasure, high arousal).

Stimulus-Organism-Response (S-O-R) Paradigm

Baloglu and McCleary integrated environmental stimuli and consumer motivations within the classical Stimulus-Organism-Response (S-O-R) paradigm originally formulated by Mehrabian and Russell (1974). In this framework:

• Stimulus (S): External information sources (e.g., travel brochures, literature, advertisements, internet channels, word-of-mouth) and prior travel experiences act as external sensory inputs.
• Organism (O): The internal psychological cognitive and affective processing systems of the tourist, moderated by socio-demographic characteristics and intrinsic travel motivations (e.g., relaxation, prestige, social contact, education).
• Response (R): The resulting conative outcomes, destination choice, and brand loyalty manifestations.

7. Validity

The psychometric validity of the Destination Image Scale has undergone extensive empirical verification through multiple methodological lenses, demonstrating exemplary construct, convergent, discriminant, and predictive performance across cross-sectional and longitudinal research designs.

Construct and Convergent Validity

Construct validity is substantiated when theoretical constructs correlate appropriately with indicators that share common conceptual roots. In the structural equation modeling (SEM) analyses executed by Baloglu and McCleary (1999) and replicated across dozens of subsequent investigations (e.g., Beerli & Martín, 2004; Gallarza et al., 2002; Lin et al., 2007), standardized factor loadings for the cognitive, affective, and conative indicators consistently exceed the conventional threshold of .60, with the majority surpassing .75 to .85 (p < .001). Average Variance Extracted (AVE) values across latent image factors regularly exceed the .50 benchmark established by Fornell and Larcker (1981), demonstrating that a majority of the variance in observed indicators is captured by the underlying latent destination image construct rather than measurement error.

Discriminant Validity

Discriminant validity confirms that cognitive, affective, and conative dimensions represent empirically distinguishable constructs rather than redundant measures of an identical attitude. Using the Fornell-Larcker criterion, researchers have repeatedly confirmed that the square root of the AVE for each latent dimension exceeds the inter-construct correlations among them. Furthermore, modern assessments using the Heterotrait-Monotrait ratio of correlations (HTMT) regularly report values well below the conservative .85 cutoff threshold, demonstrating that cognitive beliefs about attributes and affective emotional states remain psychometrically distinct, even when sharing substantial structural covariance.

Predictive and Criterion-Related Validity

The scale possesses remarkable predictive utility in forecasting actual consumer choice and future behavioral loyalty. Baloglu and McCleary (1999) reported that the combined cognitive and affective image constructs explained upwards of 52% to 64% of the variance in overall destination evaluation and subsequent conative intentions. Longitudinal tracking studies have demonstrated that travelers with elevated scores on the pleasant/exciting affective axes and superior ratings on functional cognitive infrastructure are significantly more likely to translate stated intention into confirmed booking and on-site visitation, establishing high criterion-related predictive validity.

8. Reliability

The reliability of the Destination Image Scale has been thoroughly documented across diverse international samples, traveler demographics, and geographic contexts. Across multiple studies, the individual subscales have demonstrated strong internal consistency and temporal stability.

Internal Consistency

Internal consistency is typically evaluated using Cronbach’s alpha ($lpha$) and composite reliability ($CR$):

• Cognitive Image Subscales: Reliabilities across cognitive sub-dimensions (e.g., attractions, infrastructure, cultural environment) range from .78 to .92. Baloglu and McCleary (1999) reported alpha coefficients of .86 for “Quality of Experience,” .82 for “Attractions and Entertainment,” and .79 for “Environment and Safety.” Subsequent large-scale cross-national studies (e.g., Stepchenkova & Morrison, 2008; Prayag & Ryan, 2012) confirmed alpha values spanning .81 to .94.
• Affective Image Scale: The four-item bipolar affective dimension consistently displays exceptional internal consistency, with Cronbach’s alpha coefficients routinely falling between .84 and .91, and composite reliabilities exceeding .88.
• Conative Image Scale: The conative dimension, typically assessed via 2 to 4 behavioral intention items, yields Cronbach’s alpha values typically ranging from .83 to .93, reflecting high homogeneity among intention-to-visit and willingness-to-recommend indicators.

Test-Retest Stability

Assessments evaluating temporal stability in non-traveling longitudinal control groups (assessing static mental images over a 4-to-8-week interval in the absence of exogenous shocks) yield test-retest correlation coefficients ($r$) ranging between .74 and .86, demonstrating that an individual’s baseline cognitive-affective image remains stable in the absence of new marketing interventions, organic media exposure, or direct travel experiences.

9. Factor Analysis

Extensive exploratory factor analyses (EFA) and confirmatory factor analyses (CFA) have confirmed the multi-factor structural integrity of the DIS.

Exploratory Factor Analysis (EFA)

During initial scale development, Baloglu and McCleary (1999) submitted a multi-item battery of cognitive destination attributes to Principal Component Analysis (PCA) with Varimax orthogonal rotation. The extraction revealed clear, clean factor solutions with Kaiser-Meyer-Olkin (KMO) measures of sampling adequacy exceeding .85 and significant Bartlett’s Tests of Sphericity ($p < .001$). The cognitive items resolved neatly into several coherent factors accounting for 55% to 65% of the total cumulative variance:

• Factor 1: Quality of Experience (e.g., pleasant climate, scenic beauty, cultural attractions; loadings ranging from .64 to .81).
• Factor 2: Attractions and Entertainment (e.g., vibrant nightlife, shopping opportunities, culinary variety; loadings ranging from .58 to .78).
• Factor 3: Basic Infrastructure and Environment (e.g., safety, hygiene, modern accommodation, ease of transportation; loadings ranging from .61 to .84).

The four affective items were submitted to factor analysis independently, resolving universally into a single robust affective factor (accounting for over 68% of the total affective variance, with loadings ranging from .72 to .89).

Confirmatory Factor Analysis (CFA)

Subsequent validation utilizing Confirmatory Factor Analysis via structural equation modeling packages (e.g., AMOS, LISREL, Mplus, lavaan) has consistently corroborated the hierarchical structure of the DIS. Standard goodness-of-fit indices across published literature consistently meet or exceed established methodological benchmarks:

• $\chi^2 / df$ (Chi-square to degrees of freedom ratio): typically between 1.50 and 2.80, indicating acceptable model parsimony.
• Comparative Fit Index (CFI): values typically range from .93 to .98.
• Tucker-Lewis Index (TLI): values routinely exceed .92 to .97.
• Root Mean Square Error of Approximation (RMSEA): values regularly fall between .035 and .062 (with 90% confidence intervals bounded below .08).
• Standardized Root Mean Square Residual (SRMR): values typically span .031 to .054.

Multi-group CFA studies have further verified structural, metric, and scalar measurement invariance across gender, age cohorts, and national cultures, demonstrating that the scale operates with equivalent psychometric properties across heterogeneous global respondent populations.

10. Instrument / Measurement Tool

The Destination Image Scale is a structured, quantitative survey battery designed for self-administration in paper-and-pencil, online, or intercept computer-assisted formats.

• Administration Format: Self-administered questionnaire; feasible across digital online panels, on-site airport intercept surveys, or post-trip evaluations.
• Time Required for Completion: Approximately 7 to 12 minutes.
• Target Population: General consumer populations, domestic and international tourists, business travelers, and potential travelers aged 18 and older.
• Instrument Structure:
  • Part A: Cognitive Destination Image: Typically consists of 14 to 24 specific destination attribute statements representing infrastructure, cultural heritage, nature, safety, and entertainment. Evaluated on a 7-point Likert response format ranging from 1 = Strongly Disagree to 7 = Strongly Agree (or alternatively, 1 = Very Poor / Very Low to 7 = Very Good / Very High).
  • Part B: Affective Destination Image: Comprises 4 core bipolar semantic differential item pairs (Pleasant–Unpleasant, Exciting–Gloomy, Relaxing–Distressing, Arousing–Sleepy) scored on a 7-point scale (1 to 7).
  • Part C: Conative Destination Image: Comprises 2 to 4 behavioral intention items assessing likelihood to visit and likelihood to recommend, measured on a 7-point Likert scale (1 = Extremely Unlikely / Strongly Disagree to 7 = Extremely Likely / Strongly Agree).
  • Part D: Overall Image: Often includes a single summary item measuring the global, holistic evaluation of the destination on a 7-point scale (1 = Very Negative to 7 = Very Positive).
• Scoring and Computational Procedures:
  • Subscale scores are calculated by averaging the individual item ratings within each identified factor (e.g., mean cognitive factor scores, mean affective score, and mean conative score).
  • Scores can be maintained as distinct continuous variables for use in structural equation modeling or multiple regression analyses.
  • Alternatively, cognitive and affective composite scores can be plotted on a two-dimensional perceptual grid (e.g., Affective Valence vs. Cognitive Performance) to inform strategic positioning analysis.

11. Permissions & Fee and Test Year

The foundational empirical model and measurement operationalization of the Destination Image Scale were published in 1999 by Seyhmus Baloglu and Ken W. McCleary in their landmark paper titled “A model of destination image formation” in the journal Annals of Tourism Research.

• Copyright Status: The academic article reporting the scale is copyrighted by Elsevier Science Ltd. However, the theoretical framework, conceptual dimensions, and psychometric operationalization are widely regarded within the international scientific community as an open scientific framework for academic research and scholarly inquiry.
• Permissions and Usage: Researchers, university faculty, and graduate students may use and adapt the scale items for non-commercial academic research without payment of licensing fees, provided that appropriate scholarly attribution and bibliographic citation are accorded to Baloglu and McCleary (1999).
• Commercial and Proprietary Applications: Commercial market research firms, destination marketing organizations, and strategic consultancies planning to implement the scale for proprietary commercial brand audits or monetized consulting projects should review fair-use standards and, where appropriate, seek permission from the original journal publisher (Elsevier) or consult directly with the scale authors.

12. References

• Baloglu, S., & McCleary, K. W. (1999). A model of destination image formation. Annals of Tourism Research, 26(4), 868–897. https://doi.org/10.1016/S0160-7383(99)00030-4
• Beerli, A., & Martín, J. D. (2004). Factors influencing destination image. Annals of Tourism Research, 31(3), 657–681. https://doi.org/10.1016/j.annals.2004.01.010
• Echtner, C. M., & Ritchie, J. R. B. (1993). The measurement of destination image: An empirical assessment. Journal of Travel Research, 31(4), 3–13. https://doi.org/10.1177/004728759303100402
• Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18(1), 39–50. https://doi.org/10.1177/002224378101800104
• Gallarza, M. G., Saura, I. G., & García, H. C. (2002). Destination image: Towards a conceptual framework. Annals of Tourism Research, 29(1), 56–78. https://doi.org/10.1016/S0160-7383(01)00031-7
• Lin, C. H., Morais, D. B., Kerstetter, D. L., & Hou, J. S. (2007). Examining the role of cognitive and affective image in predicting choice behavior. Tourism Management, 28(1), 183–194. https://doi.org/10.1016/j.tourman.2005.11.007
• Mehrabian, A., & Russell, J. A. (1974). An approach to environmental psychology. MIT Press.
• Prayag, G., & Ryan, C. (2012). Antecedents of tourists’ loyalty to Mauritius: The role and influence of destination image, place attachment, personal involvement, and satisfaction. Journal of Travel Research, 51(3), 342–356. https://doi.org/10.1177/0047287511410321
• Russell, J. A. (1980). A circumplex model of affect. Journal of Personality and Social Psychology, 39(6), 1161–1178. https://doi.org/10.1037/h0077714
• Russell, J. A., & Pratt, G. (1980). A description of the affective quality attributed to environments. Journal of Personality and Social Psychology, 38(2), 311–322. https://doi.org/10.1037/0022-3514.38.2.311
• Stepchenkova, S., & Morrison, A. M. (2008). Russia’s destination image among American pleasure travelers: Revisiting Echtner and Ritchie. Tourism Management, 29(3), 548–560. https://doi.org/10.1016/j.tourman.2007.06.003

13. Items of the Scale