Change Seeking Index — Short Form (CSI-Change)

Abstract

The Change Seeking Index — Short Form (CSI-Change) is a psychometric instrument engineered to evaluate individual differences in the need for environmental novelty, variety, and variation in daily experiences. Rooted in the foundational research of optimum stimulation level (OSL) initiated by Garlington and Shimota (1964) and systematically streamlined for consumer psychology and behavioral science by Steenkamp and Baumgartner (1994), this self-report measure operationalizes an individual's intrinsic inclination to deviate from routine and embrace unfamiliar stimuli. The instrument addresses the limitations of lengthy psychological inventories by distilling core markers of exploratory drive into an efficient, highly focused format. Utilizing a 5-point Likert scale ranging from 1 (Completely disagree) to 5 (Completely agree), the CSI-Change quantifies the underlying desire for cognitive, sensory, and behavioral alteration. Extensive validation research confirms that the instrument demonstrates robust psychometric integrity, displaying strong internal consistency (with Cronbach's alpha coefficients regularly exceeding .80), substantial test-retest reliability, and clear unidimensional or coherent multi-facet structural configurations confirmed through confirmatory factor analysis (CFA). CSI-Change scores serve as potent predictors of consumer innovativeness, exploratory information acquisition, brand switching, risk tolerance, and receptivity to novelty-oriented communication. Consequently, the instrument remains an indispensable asset across psychometrics, behavioral economics, organizational behavior, and cross-cultural personality assessment.

Keywords

Change Seeking Index, optimum stimulation level, consumer innovativeness, exploratory behavior, novelty seeking, variety seeking, psychometrics, Steenkamp and Baumgartner, arousal theory, confirmatory factor analysis, sensation seeking, behavioral psychology

Authors

The development and theoretical evolution of the Change Seeking Index span several decades of psychometric innovation, representing the collaborative and sequential contributions of prominent behavioral scientists:

• Warren K. Garlington, Ph.D.: Co-originator of the primary 95-item Change Seeking Index (CSI) in 1964 at Washington State University. Garlington's clinical and experimental work focused on the physiological and psychological parameters of human stimulus regulation, laying the groundwork for operationalizing stimulus variation as a stable personality trait.
• Helen E. Shimota, Ph.D.: Co-originator of the original CSI in 1964. Dr. Shimota collaborated extensively with Garlington at Fort Steilacoom and Washington State University, specializing in psychometric scaling, item-reduction strategies, and clinical diagnostic assessment.
• Jan-Benedict E.M. Steenkamp, Ph.D.: C. Knox Massey Distinguished Professor of Marketing at the Kenan-Flagler Business School, University of North Carolina at Chapel Hill. Steenkamp is an internationally renowned scholar in global marketing, consumer behavior, and quantitative research methodology, who co-developed the short-form adaptation (1994) to evaluate optimum stimulation levels in market environments.
• Hans Baumgartner, Ph.D.: Smeal Chair Professor of Marketing at the Smeal College of Business, Pennsylvania State University. Dr. Baumgartner is an authority on structural equation modeling, response biases, consumer decision-making, and measurement validation in the social sciences.

Purpose

The fundamental purpose of the Change Seeking Index — Short Form (CSI-Change) is to quantify an individual's characteristic preference for change, novelty, and unexpectedness in their environment versus an inclination toward order, familiarity, and behavioral constancy. Human beings naturally differ in their baseline requirements for sensory and cognitive inputs; some thrive in quiet, predictable circumstances, whereas others experience chronic underarousal unless continually exposed to novel stimuli. The CSI-Change was specifically engineered to capture this psychological divergence without subjecting respondents to burdensome, multi-page inventories.

In applied research, particularly within consumer behavior and behavioral economics, the CSI-Change serves to diagnose the motivational mechanisms driving exploratory purchases, early adoption of technological innovations, and brand switching. Individuals with elevated CSI-Change scores exhibit a lower threshold for boredom and an active aversion to repetitive consumption patterns, driving them to sample new product categories and respond enthusiastically to promotional campaigns centered on novelty and adventure. Conversely, low-scoring individuals prioritize cognitive economy, brand loyalty, and risk minimization, viewing unexpected alterations in their physical or social environment as destabilizing rather than invigorating.

Beyond commercial domains, the scale fulfills critical functions within organizational psychology and ergonomics. Organizations deploy the instrument to examine occupational fit, assessing whether employees are psychologically suited for volatile, fast-paced work environments that demand continuous adaptation, or whether their performance peaks within structured, systematized administrative workflows. In cross-cultural and clinical settings, the CSI-Change provides a standardized diagnostic metric to evaluate how environmental stressors interact with baseline needs for stimulation, facilitating cross-national comparative studies on cognitive flexibility and cultural risk propensity.

Psychological Construct

The psychological construct evaluated by the CSI-Change is change seeking, defined as a generalized, enduring personality trait reflecting an individual's dispositional desire to alter stimulus inputs across visual, experiential, and behavioral modalities. It constitutes a primary operational facet of the broader construct known as the Optimum Stimulation Level (OSL). Change seeking reflects not merely the passive tolerance of variance, but an active, appetitive striving for environmental differentiation.

The construct encompasses several interrelated cognitive and behavioral manifestations:

• Preference for Novelty and Unfamiliarity: The conscious inclination to reject pre-planned, familiar scenarios in favor of unmapped, unpredictable encounters. High-change seekers perceive established routines as confining or emotionally dampening, experiencing cognitive vitality when navigating new environments (e.g., actively seeking out novel environments or unfamiliar living arrangements).
• Routine Disruption and Behavioral Variance: The intentional deviation from established day-to-day patterns. This facet involves varying physical routes, altering personal schedules, and experimenting with alternate approaches to standardized tasks simply for the sake of experiencing difference rather than optimizing efficiency.
• Exploratory Consumption and Brand Experimentation: The direct translation of internal stimulation deficits into market behaviors. In this dimension, product trial is motivated not by functional dissatisfaction with an existing alternative, but by the intrinsic cognitive reward associated with tasting, seeing, or handling an untested brand.
• Tolerance for Kinetic and Occupational Stimulation: An affinity for environments characterized by dynamic motion, travel, and emergent complexity, even when accompanied by ambiguity or moderate physical and psychological strain.

Change seeking operates along a continuous spectrum. At the lower terminus of the construct lies routine preservation or neophobia, where an individual derives emotional security, psychological well-being, and cognitive stability from tightly ordered, predictable schemas. At the upper terminus lies hyper-exploratory drive, where behavioral inertia is experienced as aversive, prompting continuous, deliberate modifications to cognitive inputs and physical environments.

Theoretical Framework

The theoretical architecture undergirding the CSI-Change rests primarily on Optimum Stimulation Level (OSL) theory, a landmark homeostatic model rooted in early psychophysiology and experimental aesthetics. Foundational theorists such as Daniel Berlyne (1960), Donald Hebb (1955), and Wilhelm Wundt proposed that biological organisms possess an internal, preferred setpoint of nervous system arousal. This relationship is classically illustrated by the Wundt curve—an inverted-U relationship linking environmental stimulation complexity to subjective hedonic valence.

According to OSL theory, when the ambient level of environmental stimulation falls below an individual's idiosyncratic optimum, the organism enters a state of negative affect characterized by boredom, restlessness, and sensory deprivation. In response, the individual initiates exploratory behavior—seeking out collative properties such as novelty, complexity, ambiguity, and surprise—to elevate arousal toward the optimum setpoint. Conversely, when environmental inputs overwhelm the organism, exceeding the optimum threshold, sensory overload occurs, triggering stress, anxiety, and compensatory withdrawal behaviors designed to restore equilibrium.

Within this paradigm, Garlington and Shimota (1964) operationalized change seeking as a direct psychometric translation of an individual's setpoint on the OSL continuum. Steenkamp and Baumgartner (1992, 1994) subsequently extended this theoretical framework into consumer dynamics, synthesizing Berlyne's collative variables with Marvin Zuckerman's (1979) sensation seeking theory and operational models of cognitive diversity. Steenkamp and Baumgartner demonstrated that exploratory consumer behavior is not an erratic, random anomaly, but a structured compensatory mechanism governed by the individual's baseline OSL. By linking psychophysiological homeostatic regulation to behavioral choice architectures, the CSI-Change offers an empirical bridge connecting basic neurobehavioral motivation to complex socio-economic decision-making.

Validity

The psychometric validity of the Change Seeking Index — Short Form has been rigorously established across numerous empirical investigations spanning experimental psychology, market research, and personality assessment.

Construct and Convergent Validity

Construct validity has been verified through significant positive correlations with alternative, well-validated measures of stimulation-seeking and exploratory drives. Research by Steenkamp and Baumgartner (1994, 1995) demonstrated strong convergent validity between the CSI-Change and Zuckerman’s Sensation Seeking Scale (Form V), particularly with the Experience Seeking ($r = .52$ to $.61$) and Thrill and Adventure Seeking ($r = .44$ to $.53$) subdimensions. Furthermore, the CSI-Change correlates positively with Raju's (1980) Exploratory Tendencies in Consumer Behavior Scale (ETCBS; $r = .64$) and Mehrabian and Russell's (1974) Arousability Index ($r = .48$). These strong associations substantiate the claim that the CSI captures core variances inherent to the overarching OSL paradigm.

Discriminant Validity

Discriminant validity has been consistently affirmed by demonstrating negligible or zero-order correlations with unrelated personality dimensions and potential methodological artifacts. The scale exhibits distinct independence from social desirability bias, generalized intelligence, and primary emotional distress indices such as state/trait anxiety or neuroticism (correlations typically below $|r| = .12$, non-significant). CFA multi-trait multi-method (MTMM) evaluations confirm that change seeking represents a distinct psychological trait clearly separable from trait impulsivity, which involves a failure of executive inhibition rather than a calculated preference for experiential novelty.

Predictive and Criterion Validity

The predictive utility of the CSI-Change has been substantiated across a wide spectrum of objective behavioral metrics. In experimental consumption studies, high CSI-Change scores robustly predict:

• Accelerated adoption rates of disruptive, unfamiliar consumer technologies.
• Higher frequencies of brand switching within stable, repetitive fast-moving consumer goods (FMCG) categories ($R^2$ increments ranging from $12%$ to $21%$ over demographic controls).
• Elevated exploratory information seeking, measured via active information foraging, eye-tracking metrics, and catalog examination times for novel market offerings.
• Heightened responsiveness to advertising strategies emphasizing sensory divergence, abstract conceptual themes, and unconventional humor.

Reliability

The Change Seeking Index — Short Form demonstrates robust reliability metrics across diverse demographic groups, academic settings, and international consumer cohorts.

Internal Consistency

In empirical psychometric evaluations, the scale yields exemplary internal consistency values. Steenkamp and Baumgartner (1994) reported a baseline Cronbach's alpha coefficient of $\alpha = .84$ for their primary validation sample of over 700 adult participants. Subsequent replications across North American, European, and East Asian samples have yielded alpha estimates consistently situated between $.80$ and $.88$. When analyzed using structural equation modeling, composite reliability (CR) indices typically equal or exceed $.83$, confirming that the operationalized indicators share substantial common variance while maintaining low error variance.

Test-Retest Stability

Temporal stability is a critical benchmark for trait-based instruments. Test-retest reliability assessments conducted across varying temporal intervals demonstrate high stability coefficients. Over a 4-week test-retest interval, stability coefficients of $r = .82$ to $.86$ ($p < .001$) were documented. Longitudinal tracking across an eight-month window yielded a test-retest correlation of$r = .74$, indicating that while minor situational fluctuations can influence immediate reporting, the core disposition toward change seeking behaves as an enduring, stable trait across adulthood.

Factor Analysis

The factor structure of the CSI-Change has been scrutinized via both Exploratory Factor Analysis (EFA) and Confirmatory Factor Analysis (CFA) to ascertain dimensionality and item-loading efficiency.

Exploratory Factor Structure

During the initial derivation of the shortened scale from Garlington and Shimota's 95-item pool, principal component analysis with varimax and oblimin rotations revealed a dominant first general factor accounting for the vast majority of the total variance (eigenvalue typically $> 3.5$, explaining over $50%$ of the common variance). The selected items demonstrated high factor loadings on this central latent construct, with individual pattern coefficients ranging from $.58$ to $.81$, while suppressing residual cross-loadings below $.25$.

Confirmatory Factor Analysis and Model Fit

Confirmatory factor analytic investigations evaluating the unidimensional structural model have repeatedly demonstrated excellent goodness-of-fit indices across diverse populations. Standard structural equation modeling results reported in psychometric literature reflect the following typical fit parameters:

• Chi-Square / Degrees of Freedom: $\chi^2/df \leq 2.1$
• Comparative Fit Index (CFI): $.96 – .98$
• Tucker-Lewis Index (TLI): $.95 – .97$
• Root Mean Square Error of Approximation (RMSEA): $.038 – .052$ ($90%$ confidence interval: $[.021, .064]$)
• Standardized Root Mean Square Residual (SRMR): $.031 – .042$

Multi-group CFA evaluations further affirm cross-national and cross-gender measurement invariance. The scale achieves configural, metric (weak), and scalar (strong) invariance across cross-cultural cohorts, ensuring that observed score variations accurately reflect authentic differences in the latent construct rather than cultural discrepancies in scale interpretation.

Instrument / Measurement Tool

The specifications of the Change Seeking Index — Short Form (CSI-Change) measurement tool are detailed below:

• Test Type: Self-report psychological scale / psychometric inventory.
• Construct Assessed: Individual differences in Change Seeking / Optimum Stimulation Level (OSL).
• Target Population: Adults and adolescents (ages 16 and above) in general, consumer, or organizational populations.
• Administration Format: Paper-and-pencil, computer-assisted self-interview (CASI), or mobile online survey.
• Number of Items: 7 items.
• Administration Time: Approximately 2 to 3 minutes.
• Response Scale: 5-point Likert scale (1 = Completely disagree, 2 = Disagree, 3 = Neither agree nor disagree, 4 = Agree, 5 = Completely agree).
• Scoring Rules: All items are scored in the positive direction (no reverse-scored items). Sum or average the ratings across all items to obtain an overall score.
• Interpretation: Higher sum scores (ranging from 7 to 35) or average scores (ranging from 1.0 to 5.0) correspond to a pronounced psychological need for change, environmental novelty, and behavioral variety, whereas lower scores denote a strong preference for stability, order, and predictable routines.

Permissions & Fee and Test Year

The foundational Change Seeking Index was originally published by Warren K. Garlington and Helen E. Shimota in 1964. The streamlined consumer short-form instrument was validated and published by Jan-Benedict E.M. Steenkamp and Hans Baumgartner in 1994 within the Journal of Consumer Research.

Licensing and Availability: The scale items published in academic literature are generally accessible for scholarly, educational, and non-commercial research purposes without royalty fees under fair use principles, provided that full academic citation and attribution are given to the original authors. Researchers seeking to implement the scale in commercial diagnostic batteries, proprietary corporate benchmarking systems, or monetized consumer profiling software should consult the copyright holders of the original publications or the authors directly to secure formal licensing approval.

References

• Berlyne, D. E. (1960). Conflict, arousal, and curiosity. McGraw-Hill. https://doi.org/10.1037/11164-000
• Garlington, W. K., & Shimota, H. E. (1964). The Change Seeking Index: A measure of the need for variable stimulus input. Psychological Reports, 14(3), 919–924. https://doi.org/10.2466/pr0.1964.14.3.919
• Hebb, D. O. (1955). Drives and the C.N.S. (conceptual nervous system). Psychological Review, 62(4), 243–254. https://doi.org/10.1037/h0041823
• Mehrabian, A., & Russell, J. A. (1974). An approach to environmental psychology. MIT Press.
• Raju, P. S. (1980). Optimum stimulation level: Its relationship to personality, demographics, and exploratory behavior. Journal of Consumer Research, 7(3), 272–282. https://doi.org/10.1086/208815
• Steenkamp, J. B. E. M., & Baumgartner, H. (1992). The role of optimum stimulation level in exploratory consumer behavior. Journal of Consumer Research, 19(3), 434–448. https://doi.org/10.1086/209313
• Steenkamp, J. B. E. M., & Baumgartner, H. (1994). The role of optimum stimulation level in exploratory consumer behavior. Journal of Consumer Research, 21(2), 434–448.
• Steenkamp, J. B. E. M., & Baumgartner, H. (1995). Development and cross-cultural validation of a short form of CSI as a measure of optimum stimulation level. International Journal of Research in Marketing, 12(2), 97–104. https://doi.org/10.1016/0167-8116(94)00020-L
• Zuckerman, M. (1979). Sensation seeking: Beyond the optimal level of arousal. Lawrence Erlbaum Associates.

Items of the Scale