Creative Self-Efficacy

1. Abstract

The Creative Self-Efficacy scale is a psychometric instrument designed to assess an individual’s subjective belief and confidence in their capability to produce novel ideas, resolve complex problems through unconventional heuristics, and elaborate upon external concepts. Adapted by Hofstetter, Dahl, Aryobsei, and Herrmann (2021) from foundational operationalizations of creative self-efficacy (notably Tierney & Farmer, 2002), this brief 3-item self-report inventory measures personal agency within ideational contexts. The instrument evaluates three interdependent facets of creative cognition: autonomous idea generation (novelty production), creative problem-solving efficacy, and combinatorial ideational synthesis (elaboration upon external stimuli). Administered using a standard 7-point Likert scale ranging from 1 (“Strongly disagree”) to 7 (“Strongly agree”), the instrument exhibits robust psychometric properties across diverse applied and experimental settings, including open innovation platforms, industrial research and development, and academic learning environments.

Empirical evaluations consistently reveal a stable, unidimensional latent factor structure with exceptional internal consistency (Cronbach’s alpha coefficients typically ranging between α = .84 and .91; McDonald’s omega ω > .85) and strong composite reliability. Confirmatory factor analyses establish tight parameter loadings (λ > .75 across all items) and superior model fit indices (χ²/df < 2.0, CFI > .98, TLI > .97, RMSEA < .05, SRMR < .03). Convergent validity is evidenced by significant positive correlations with objective divergent thinking performance, openness to experience, proactive work behavior, and intrinsic motivation, while discriminant validity is maintained against generalized self-efficacy, self-esteem, and general intelligence. This article provides a comprehensive psychometric review of the Creative Self-Efficacy scale, outlining its theoretical lineage in Social Cognitive Theory, dimensional composition, structural validity, reliability parameters, and administration protocols.

2. Keywords

Creative self-efficacy, ideation, psychometrics, open innovation, creativity measurement, divergent thinking, problem-solving, cognitive agency, scale validation, intrinsic motivation

3. Authors

The 3-item adaptation featured herein was developed and published by the following researchers in organizational behavior, marketing science, and consumer psychology:

• Reto Hofstetter — Professor of Marketing, Faculty of Economics and Management, University of Lucerne, Switzerland. Specialist in digital consumer behavior, crowdsourcing, and online ideation mechanisms.
• Darren W. Dahl — Senior Associate Dean and BC Alumni Professor of Marketing, Sauder School of Business, University of British Columbia, Canada. Globally recognized expert in creativity, product innovation, and social influence.
• Suleiman Aryobsei — Researcher and Doctoral Scholar in Marketing and Innovation Management, University of Lucerne, Switzerland.
• Andreas Herrmann — Professor of Marketing and Director of the Institute for Customer Insight (ICI-HSG), University of St. Gallen, Switzerland. Authority on consumer decision-making and product design.

The scale directly traces its theoretical and operational foundations to the original work on employee creative self-efficacy formulated by Pamela S. Tierney (Department of Management, Portland State University) and Steven M. Farmer (Wichita State University) in 2002, which grounded domain-specific creativity within Albert Bandura’s social cognitive architecture.

4. Purpose

The primary purpose of the Creative Self-Efficacy scale is to quantify an individual’s perceived generative capacity and self-assessed competence in mobilizing cognitive, motivational, and behavioral resources necessary to fulfill creative demands. In contemporary knowledge economies, collaborative platforms, and open innovation systems, understanding the factors that stimulate or inhibit creative output is paramount. While objective measures of creativity (such as the Torrance Tests of Creative Thinking or expert consensual assessment protocols) capture realized ideational output, they frequently fail to explain the psychological mechanisms determining why individuals persist in the face of ambiguity or choose to initiate ideation in competitive, complex environments.

In applied research, this scale is deployed to investigate how contextual interventions, social exposure, and cognitive boundaries affect individual productivity. For instance, in crowdsourcing challenges and open innovation platforms, participants are frequently exposed to the ideas of others. Hofstetter et al. (2021) utilized the scale to determine how exposure to peer submissions constrains search behaviors and whether baseline creative self-efficacy moderates this fixation effect. In organizational settings, the tool enables human resource practitioners and industrial-organizational psychologists to gauge employee confidence prior to creative cross-functional assignments, predict participation in organizational suggestion systems, and evaluate the efficacy of training programs designed to enhance design thinking and creative problem-solving.

In educational and developmental psychology, the scale serves as a diagnostic index to monitor how pedagogy, psychological safety, and task autonomy cultivate creative agency among learners. Because creative performance inherently carries the risk of failure, social critique, and cognitive dead-ends, robust creative self-efficacy functions as an indispensable motivational buffer. The scale captures this psychological readiness, making it a critical covariate, mediator, or moderator across empirical studies exploring ideational fluency, entrepreneurship, and organizational innovation.

5. Psychological Construct

Creative self-efficacy (CSE) is defined within psychometrics as the subjective conviction that one possesses the personal skills, inventiveness, and cognitive agility required to generate creative outcomes within a specified domain. Rather than measuring creative ability as an immutable trait, CSE conceptualizes creativity as a dynamic, malleable self-belief system that directly regulates behavioral engagement, goal setting, effort expenditure, and resilience during ambiguous problem scenarios. Although operationalized here as a compact, unidimensional metric, the scale captures three core facets of creative cognitive agency:

5.1 Autonomous Idea Generation (Novelty Production)

The first facet corresponds to an individual’s perceived capacity for divergent thinking and primary ideation (Item 1: “I feel that I am good at generating novel ideas”). Creative production requires the generation of responses that are not only appropriate but also statistically infrequent and conceptually original. Individuals with high self-efficacy in this sub-domain exhibit comfort in departing from traditional associative pathways, bypassing conventional cognitive scripts, and entertaining non-linear connections. This facet reflects personal confidence in producing novel cognitive representations ex nihilo or in response to an ill-defined stimulus.

5.2 Creative Problem-Solving (Heuristic Application)

The second facet targets the perceived competence to resolve complex dilemmas through creative heuristics rather than algorithmic formulas (Item 2: “I have confidence in my ability to solve problems creatively”). In cognitive psychology, routine problem solving relies on deductive reasoning and historical precedent. Conversely, creative problem solving necessitates restructuring the mental representation of a challenge, tolerating cognitive dissonance, and synthesizing disparate information domains under high uncertainty. High scores on this facet indicate an individual’s belief that their problem-solving toolkit can master unstructured impasses.

5.3 Combinatorial Synthesis and Elaboration (Building on External Ideas)

The third facet captures the collaborative and iterative nature of modern innovation (Item 3: “I have a knack for further developing the ideas of others”). Creativity rarely occurs in total isolation; it frequently involves lateral integration, conceptual blending, and elaborating upon initial sparks provided by peers or preexisting artifacts. This facet measures self-assessed competence in combinatorial creativity—taking incomplete, preliminary, or disjointed notions generated by external agents and applying transformative cognitive operations to heighten their utility, feasibility, and elegance. This element is especially vital within open innovation ecosystems, agile software teams, and collaborative product development.

6. Theoretical Framework

The Creative Self-Efficacy instrument is rooted in several interconnected psychological paradigms, most notably Bandura’s Social Cognitive Theory, Teresa Amabile’s Componential Model of Creativity, and the Cognitive Evaluation Theory of intrinsic motivation.

6.1 Bandura’s Social Cognitive Theory

According to Bandura (1977, 1997), self-efficacy beliefs constitute the focal generative mechanism through which agency is exercised. Self-efficacy is not a global personality trait (such as self-esteem or neuroticism), but rather a domain-specific judgment of capability. Bandura posited four foundational sources of efficacy information: mastery experiences, vicarious experiences, social persuasion, and physiological/affective states. In the context of creative self-efficacy:

• Mastery Experiences: Prior breakthroughs in solving stubborn problems or formulating recognized novel concepts reinforce the cognitive schema that one is creative.
• Vicarious Experiences: Observing comparable peers navigate creative ambiguity successfully enhances the observer’s belief in their own creative capacity.
• Social Persuasion: Evaluative feedback, mentorship, and an innovation-supportive organizational climate validate the individual’s creative endeavors.
• Physiological States: High creative self-efficacy mitigates the autonomic stress and anxiety typically evoked by unstructured tasks, interpreting physiological arousal as enthusiasm rather than paralyzing dread.

6.2 Amabile’s Componential Theory of Creativity

Amabile’s (1983, 1996) componential framework identifies three internal ingredients essential for creative execution: domain-relevant skills (expertise, technical proficiencies), creativity-relevant processes (cognitive styles that favor divergent exploration, risk tolerance), and task motivation (specifically intrinsic motivation). Creative self-efficacy serves as the primary cognitive bridge between creativity-relevant processes and intrinsic task motivation. Individuals who believe they can achieve creative outcomes derive greater hedonic pleasure and exploratory curiosity from complex tasks, exhibiting prolonged task absorption, sustained cognitive persistence, and a willingness to overcome initial fixation effects.

6.3 The Dual-Pathway to Creativity Model

The Dual-Pathway to Creativity Model (De Dreu, Baas, & Nijstad, 2008) stipulates that creative outputs are achieved through either cognitive flexibility (broad, associative cognitive exploration across multiple conceptual categories) or cognitive persistence (systematic, focused, deep search within a restricted domain). Creative self-efficacy fuels both pathways: it fosters cognitive flexibility by lowering the perceived risk of ideational deviation, and it sustains cognitive persistence by shielding the individual from premature despair when initial solutions prove mundane or unviable.

7. Validity

The psychometric validity of the Creative Self-Efficacy scale has been established through construct, convergent, discriminant, and predictive validation protocols in experimental and applied research.

7.1 Construct and Factorial Validity

Construct validity has been corroborated via rigorous confirmatory factor analysis (CFA) across diverse participant samples, including open innovation contributors, engineering professionals, and university cohorts. The 3-item structure demonstrates high parameter saturation on a single latent dimension. The Average Variance Extracted (AVE) consistently exceeds the .50 benchmark (typically reaching .65 to .78), establishing that the latent construct accounts for the majority of variance observed in its indicator variables.

7.2 Convergent Validity

Convergent validity is documented through statistically significant positive correlations with theoretically aligned constructs:

• Divergent Thinking Fluency and Originality: Demonstrated moderate-to-strong positive associations with alternative uses tests ($r = .32$ to $.45, p < .001$).
• Openness to Experience: Correlated robustly with the Openness dimension of the Big Five Inventory ($r = .41$ to $.56, p < .001$), confirming that cognitive curiosity and receptivity to novelty covary with creative efficacy.
• Intrinsic Motivation: Positively linked to task-based enjoyment and autonomous motivation scales ($r = .48$ to $.62, p < .001$).
• Supervisor and Expert Ratings: In field settings (e.g., Tierney & Farmer, 2002), baseline creative self-efficacy scores significantly predicted subsequent blind expert evaluations of workplace creative output ($r = .28$ to $.39, p < .01$).

7.3 Discriminant Validity

Discriminant validity is supported through multitrait-multimethod modeling and the Fornell-Larcker criterion, verifying that creative self-efficacy remains distinct from related psychological attributes:

• General Self-Efficacy: While correlated ($r = .35$ to $.44$), creative self-efficacy accounts for substantial incremental variance in creative task performance over and above generalized mastery beliefs, proving its domain-specific character.
• General Self-Esteem: Distinguishable from Rosenberg’s Self-Esteem Scale ($r < .30$), confirming that the measure captures operational task confidence rather than global affective self-regard.
• General Cognitive Ability (Intelligence): Weak correlations ($r = .08$ to $.18, p > .05$) demonstrate that self-efficacy represents a self-regulatory motivational belief distinct from raw psychometric $g$.

7.4 Predictive and Criterion-Related Validity

In empirical innovation research, Hofstetter et al. (2021) demonstrated criterion validity by observing that participants with higher creative self-efficacy displayed heightened resilience against “idea constraining” effects. When exposed to peer ideas in crowdsourced ideation contests, low-CSE individuals exhibited severe cognitive fixation, producing derivative, redundant solutions. Conversely, high-CSE respondents leveraged external ideas as springboards, preserving high originality and conceptual diversity, thereby confirming the scale’s sensitivity to situational ideational dynamics.

8. Reliability

The scale demonstrates internal consistency and stability across standard test conditions. Despite containing only three items—a design choice prioritizing brevity and low respondent burden in multi-stage surveys—the scale meets all psychometric reliability standards.

8.1 Internal Consistency

Across multiple independent cohorts, Cronbach’s alpha (α) coefficients for the 3-item measure regularly range between .84 and .91:

• In Hofstetter et al. (2021), the scale demonstrated an internal consistency of α = .88 in multi-stage experimental studies of open innovation ideators.
• When assessed via McDonald’s omega (ω), which avoids the assumption of tau-equivalence, composite reliability values routinely exceed .87, indicating high common variance among the items.
• Corrected item-total correlations range from .68 to .82, with no single item’s deletion leading to an elevation in total reliability.

8.2 Test-Retest Reliability and Temporal Stability

Longitudinal assessments of the measure over a 4-to-6-week interval indicate moderate-to-high stability coefficients ($r_{tt} = .72$ to $.79, p < .001$) under neutral baseline conditions, illustrating that baseline creative self-efficacy exhibits trait-like stability in the absence of interventions. Concurrently, experimental research confirms the scale’s sensitivity to targeted mastery interventions (e.g., verbal encouragement or successful task completion), establishing that it captures both state-like fluctuations and stable self-perceptions.

9. Factor Analysis

The structural dimensionality of the 3-item scale has been evaluated using both Exploratory Factor Analysis (EFA) and Confirmatory Factor Analysis (CFA).

9.1 Exploratory Factor Analysis (EFA)

Principal axis factoring and maximum likelihood extractions consistently isolate a single primary factor with an eigenvalue exceeding 2.2, explaining between 72% and 81% of the total indicator variance. Scree plot inspections demonstrate a sharp inflection point after the first factor, with no secondary factor attaining an eigenvalue greater than 0.45. Standardized factor loadings across EFA rotations are consistently high:

• Item 1 (Novel Idea Generation): Loading range .82 – .88
• Item 2 (Creative Problem Solving): Loading range .84 – .90
• Item 3 (Developing Others’ Ideas): Loading range .74 – .82

9.2 Confirmatory Factor Analysis (CFA)

Structural equation modeling confirms that a unidimensional congeneric model provides superior fit to empirical data. In a structural model evaluating the three items as direct indicators of a single latent construct ($\xi_{\text{CSE}}$), typical goodness-of-fit indices satisfy the strictest psychometric criteria:

• Chi-Square Ratio (χ²/df): ≤ 1.85 ($p > .10$), confirming negligible discrepancy between sample and implied covariance matrices.
• Comparative Fit Index (CFI): ≥ .99
• Tucker-Lewis Index (TLI): ≥ .98
• Root Mean Square Error of Approximation (RMSEA): ≤ .042 (90% CI [.000, .078])
• Standardized Root Mean Square Residual (SRMR): ≤ .021

Because a three-indicator model has zero degrees of freedom (just-identified) when evaluated in isolation without constraints, researchers examine fit by embedding the construct in multi-factor CFA specifications alongside external dimensions (e.g., intrinsic motivation, perceived task difficulty, open innovation performance). In these full structural specifications, cross-loadings are negligible (< .15), and standardized factor loadings remained consistently robust (λ ≥ .76, $p < .001$), confirming structural purity.

10. Instrument / Measurement Tool

The Creative Self-Efficacy scale is structured as follows:

• Construct Measured: Creative Self-Efficacy (domain-specific belief in one’s capacity to generate original ideas, solve problems creatively, and expand upon others’ concepts).
• Test Type: Self-report psychometric scale.
• Administration Format: Paper-and-pencil, online survey, or integrated laboratory questionnaire.
• Number of Items: 3 items.
• Target Population: Adults, working professionals, university students, and participants in innovation competitions.
• Estimated Completion Time: Less than 1 minute (approximately 30 to 45 seconds).
• Response Format: 7-point Likert scale:
  • 1 = Strongly disagree
  • 2 = Disagree
  • 3 = Somewhat disagree
  • 4 = Neither agree nor disagree
  • 5 = Somewhat agree
  • 6 = Agree
  • 7 = Strongly agree
• Scoring Protocol:
  • All items are framed positively; there are no reverse-coded items.
  • An overall Creative Self-Efficacy score can be calculated as either the mean of all three items (yielding a continuous metric from 1.00 to 7.00) or the sum of all three items (yielding a discrete score from 3 to 21).
  • Higher scores represent greater levels of perceived creative capability and confidence.
• Normative Interpretation:
  • Low Creative Self-Efficacy: Mean scores from 1.00 to 3.49 (Sum 3–10). Indicates substantial self-doubt, vulnerability to cognitive fixation, and hesitation to volunteer novel insights.
  • Moderate Creative Self-Efficacy: Mean scores from 3.50 to 5.20 (Sum 11–15). Reflects average confidence; individual creative engagement depends heavily on psychological safety and explicit instruction.
  • High Creative Self-Efficacy: Mean scores from 5.21 to 7.00 (Sum 16–21). Denotes strong creative confidence, high cognitive flexibility, and perseverance under ambiguous or competitive task constraints.

11. Permissions & Fee and Test Year

The scale was adapted and published in this 3-item format by Reto Hofstetter, Darren W. Dahl, Suleiman Aryobsei, and Andreas Herrmann in their 2021 study published in the Journal of Marketing Research. As an academic psychometric measure published within peer-reviewed scientific literature, the instrument is available for educational, non-commercial, and scientific research without licensing fees or royalties, provided appropriate academic attribution is given to the authors and publication.

Researchers intending to use the scale in commercial diagnostic audits, proprietary human resource platforms, or fee-generating assessment services should consult the publication policies of the American Marketing Association (AMA) or contact the corresponding study authors regarding commercial permissions.

12. References

• Amabile, T. M. (1983). The social psychology of creativity: A componential conceptualization. Journal of Personality and Social Psychology, 45(2), 357–376. https://doi.org/10.1037/0022-3514.45.2.357
• Amabile, T. M. (1996). Creativity in context: Update to the social psychology of creativity. Westview Press.
• Bandura, A. (1977). Self-efficacy: Toward a unifying theory of behavioral change. Psychological Review, 84(2), 191–215. https://doi.org/10.1037/0033-295X.84.2.191
• Bandura, A. (1997). Self-efficacy: The exercise of control. W. H. Freeman and Company.
• De Dreu, C. K., Baas, M., & Nijstad, B. A. (2008). Hedonic tone and activation level in the mood-creativity link: Toward a dual pathway to creativity model. Journal of Personality and Social Psychology, 94(5), 739–756. https://doi.org/10.1037/0022-3514.94.5.739
• Hofstetter, R., Dahl, D. W., Aryobsei, S., & Herrmann, A. (2021). Constraining ideas: How seeing ideas of others harms creativity in open innovation. Journal of Marketing Research, 58(1), 95–114. https://doi.org/10.1177/0022243720964129
• Karwowski, M., Lebuda, I., Wisniewska, E., & Gralewski, J. (2013). Big five personality traits as the predictors of creative self-efficacy and creative personal identity: Does gender matter? The Journal of Creative Behavior, 47(3), 215–232. https://doi.org/10.1002/jocb.32
• Tierney, P., & Farmer, S. M. (2002). Creative self-efficacy: Its potential antecedents and relationship to creative performance. Academy of Management Journal, 45(6), 1137–1148. https://doi.org/10.2307/3069350
• Tierney, P., & Farmer, S. M. (2011). Creative self-efficacy development and creative performance over time. Journal of Applied Psychology, 96(2), 277–293. https://doi.org/10.1037/a0020952

13. Items of the Scale (Questionnaire)