The Post-Experimental Intrinsic Motivation Inventory

1. Abstract

The Post-Experimental Intrinsic Motivation Inventory (IMI) is a widely recognized multidimensional measurement device developed within the theoretical architecture of Self-Determination Theory (SDT), pioneered by Edward L. Deci and Richard M. Ryan. Specifically engineered to assess participants’ subjective, post-task phenomenological experiences in laboratory, clinical, and field experiments, the IMI operationalizes intrinsic motivation not as a monolithic construct, but as a constellation of distinct yet interrelated dimensions. The complete standard inventory comprises 45 items distributed across seven primary subscales: Interest/Enjoyment, Perceived Competence, Effort/Importance, Pressure/Tension, Perceived Choice, Value/Usefulness, and Relatedness. Among these dimensions, the Interest/Enjoyment subscale is theoretically and empirically positioned as the direct self-report operationalization of intrinsic motivation per se, whereas the remaining subscales assess cognitive and affective antecedents, concomitants, or internalizations of self-regulatory functioning.

Respondents evaluate each statement using a 7-point Likert-type scale ranging from 1 (“not at all true”) to 7 (“very true”), with intermediate anchors at 4 (“somewhat true”). Psychometrically, the instrument displays strong structural integrity across diverse domains, including educational psychology, experimental cognitive tasks, motor skill learning, physical education, and virtual interactions. Extensive confirmatory factor analyses demonstrate robust construct validity, high internal consistency across subscales (with typical Cronbach’s alpha coefficients ranging between .78 and .92), and adequate test-retest reliability under invariant situational conditions. Because the inventory is intentionally designed to be modular, researchers can select relevant subscales without compromising the psychometric properties of individual dimensions. This comprehensive review examines the theoretical, structural, and diagnostic parameters of the IMI, detailing its psychological constructs, psychometric validity, reliability benchmarks, factor structure, administration parameters, and complete post-experimental item sets.

2. Keywords

Intrinsic Motivation, Self-Determination Theory, Post-Experimental Measurement, Perceived Competence, Perceived Choice, Interest-Enjoyment, Autonomy, Cognitive Evaluation Theory, Psychometrics, Task Engagement, Internalization, Psychological Needs

3. Authors

The theoretical conceptualization and empirical establishment of the Intrinsic Motivation Inventory were led by primary investigators affiliated with the Rochester Motivation Research Group at the University of Rochester:

• Edward L. Deci, Ph.D. — Professor Emeritus of Psychology and Gowen Professor in the Social Sciences at the University of Rochester; Professorial Research Fellow at the Institute for Positive Psychology and Education, Australian Catholic University. Renowned co-founder of Self-Determination Theory and pioneer in the empirical study of human autonomous motivation.
• Richard M. Ryan, Ph.D. — Clinical Psychologist, Professor at the Institute for Positive Psychology and Education, Australian Catholic University, and Professor Emeritus of Clinical and Social Sciences in Psychology at the University of Rochester. Co-originator of Self-Determination Theory and leading investigator of human flourishing, vitality, and personality development.
• Collaborating Psychometricians and Researchers: Substantial contributions to specific iterations and validations of the inventory were made by Robert J. Vallerand, Ph.D. (Université du Québec à Montréal), E. Michael McAuley, Ph.D. (University of Illinois at Urbana-Champaign), and Kimberly A. Boggiano, Ph.D.

4. Purpose

The primary purpose of the Post-Experimental Intrinsic Motivation Inventory is to assess participants’ multi-faceted psychological experience immediately following engagement in an experimental activity or task. Within experimental social and personality psychology, human motivation was historically inferred either exclusively through behavioral proxies—such as the duration of engagement during an unrewarded “free-choice” period—or through simplistic unidimensional self-report items asking whether an individual liked a task. The IMI was engineered to bridge critical empirical gaps by providing a nuanced, granular, and multidimensional profile of how individuals experience a target task relative to their internal motivational states, psychological needs, and emotional responses.

In laboratory experimentation, the IMI serves as a primary manipulation check and dependent measurement device. Researchers utilize the instrument to determine how experimental variations—such as the provision of external monetary rewards, performance-contingent deadlines, interpersonal surveillance, negative versus positive feedback, or collaborative versus competitive climates—systematically impact subjective enjoyment, feelings of autonomy, perceived mastery, and internal tension. Because external interventions can influence specific psychological channels independently, the IMI enables investigators to parse out whether a decline in behavioral persistence is driven by an erosion of perceived choice, an escalation of performance pressure, or a devaluation of the task’s utility.

Beyond basic experimental paradigms, the inventory finds extensive application across applied research contexts:

• Educational Psychology and Instructional Design: In classroom settings, the IMI measures student engagement, the intrinsic appeal of alternative pedagogical interventions (such as gamified learning versus didactic instruction), and the degree to which learners experience academic tasks as inherently satisfying versus coercively imposed.
• Sports, Physical Activity, and Motor Learning: Applied sport psychologists and exercise scientists employ adapted variants (such as the Physical Activity Intrinsic Motivation Inventory) to evaluate how coaching styles, competitive stress, and skill acquisition drills modulate intrinsic satisfaction and perceived athletic competence.
• Human-Computer Interaction (HCI) and Digital Technologies: Software developers, user-experience (UX) researchers, and video game designers administer the IMI post-interaction to quantify user immersion, usability-related autonomy, perceived digital mastery, and the hedonic value of interfaces.
• Clinical, Health, and Rehabilitation Interventions: In occupational therapy, physical rehabilitation, and behavioral medicine, the IMI assesses patients’ adherence motivation regarding therapeutic exercises, evaluating whether treatment regimens are perceived as autonomously chosen and intrinsically rewarding or externally mandated and anxiety-inducing.

5. Psychological Construct

The IMI is structured around seven distinct psychological dimensions, each operationalizing a core theoretical component of task-related phenomenological experience as defined within Self-Determination Theory:

1. Interest/Enjoyment

The Interest/Enjoyment subscale is widely regarded as the operational core of intrinsic motivation. Within SDT, intrinsic motivation is defined as performing an activity for its inherent satisfaction, curiosity, and hedonic pleasure rather than for separable outcomes. This dimension captures the visceral, affective experience of fun, absorption, and intellectual stimulation during the task. Sample sentiments include finding an activity fascinating, losing track of time due to deep engagement, or conversely, experiencing the protocol as profoundly tedious and boring (reverse-scored). In empirical models where an omnibus composite score of intrinsic motivation is modeled as a criterion variable, the Interest/Enjoyment subscale functions as the principal target outcome.

2. Perceived Competence

Perceived Competence captures an individual’s subjective appraisal of their effectiveness, mastery, and capability within the specific domain or experimental task. Grounded in the basic psychological need for competence, this construct reflects the extent to which a person feels efficacious and satisfied with their performance, both in absolute terms and relative to peers. A high score signifies that the participant felt proficient, capable, and confident, whereas a low score signals feelings of inadequacy or inability to handle task demands. Theoretically, perceived competence acts as a powerful positive predictor of intrinsic motivation, provided it is experienced within an autonomy-supportive context.

3. Effort/Importance

This subscale assesses the degree of energy, dedication, and personal significance the individual invested in executing the activity. Rather than measuring objective output, Effort/Importance taps the subjective investment of cognitive, affective, and behavioral resources. High scores signify that the participant cared substantially about performing well and exerted significant effort, whereas low scores capture disengagement, passive compliance, or indifference toward performance quality. Within experimental models, this dimension often serves as a motivational process indicator or behavioral concomitant of intrinsic engagement.

4. Pressure/Tension

Pressure/Tension evaluates the negative emotional concomitants of performance, encompassing feelings of nervousness, performance anxiety, somatic tension, and cognitive pressure during the task. In direct contrast to the other subscales, Pressure/Tension is conceptually an inverse correlate of intrinsic motivation. High levels of pressure reflect an ego-involved or controlling internal or external climate, signaling that the participant experienced evaluation apprehension, fear of failure, or coercive constraints, which systematically undermine intrinsic engagement.

5. Perceived Choice

Operationalizing the foundational need for autonomy, Perceived Choice measures the degree to which an individual experiences their task engagement as self-initiated, volition-driven, and volitionally regulated. Participants with high perceived choice feel that they engaged in the activity out of authentic personal willingness rather than external mandates, subtle social coercion, or rigid compliance requirements. Within Cognitive Evaluation Theory, perceived choice directly reflects an internal perceived locus of causality (I-PLOC), which is an essential psychological prerequisite for maintaining intrinsic motivation.

6. Value/Usefulness

The Value/Usefulness subscale captures the cognitive internalization of the task’s utility, functional relevance, and personal significance. While an individual may not find a task immediately pleasurable (pure intrinsic motivation), they may still experience self-determined engagement if they understand and endorse its broader benefits (identified regulation). This subscale enables researchers to measure how people internalize non-intrinsically enjoyable tasks, evaluating whether an activity is perceived as personally beneficial, educational, or meaningful for their long-term growth.

7. Relatedness

Developed primarily for experimental tasks involving interpersonal collaboration, dyads, or group dynamics, the Relatedness subscale quantifies the degree of social connectedness, warmth, emotional safety, and mutual trust experienced toward an interaction partner or experimenter. When individuals feel understood, respected, and connected to others during a task, their willingness to engage and internalize task values increases markedly, supported by the fulfillment of the psychological need for relatedness.

6. Theoretical Framework

The Intrinsic Motivation Inventory is rooted in Self-Determination Theory (Deci & Ryan, 1985, 2000), a macro-theory of human personality, agency, and wellness. More specifically, the instrument’s operational structure is informed by two primary mini-theories within SDT: Cognitive Evaluation Theory (CET) and Organismic Integration Theory (OIT).

Cognitive Evaluation Theory (CET)

Formulated by Deci and Ryan to explain situational variability in intrinsic motivation, Cognitive Evaluation Theory posits that intrinsic motivation flourishes when an individual’s innate psychological needs for autonomy and competence are fulfilled. According to CET, external events associated with an activity (such as feedback, evaluation, surveillance, or tangible rewards) contain two functional components:

• A Controlling Aspect: If an event is perceived as coercing the individual toward a specific behavioral outcome, it shifts the perceived locus of causality from internal (self-determined) to external (controlled), undermining the need for autonomy and depleting intrinsic motivation. This dynamic is directly measured by the contrast between the Perceived Choice and Pressure/Tension subscales.
• An Informational Aspect: If an event provides constructive, effectance-relevant feedback within an autonomy-supportive context, it enhances perceived competence, reinforcing intrinsic interest. The Perceived Competence subscale captures this mechanism.

CET asserts that perceived competence alone will not sustain intrinsic motivation unless accompanied by an internal perceived locus of causality (perceived choice). The IMI translates these theoretical dynamics into distinct empirical metrics, allowing researchers to evaluate the precise psychological pathways through which experimental manipulations influence task enjoyment.

Organismic Integration Theory (OIT)

Whereas pure intrinsic motivation is characterized by intrinsic interest and spontaneous absorption (captured by the Interest/Enjoyment subscale), many human activities are not inherently interesting. Organismic Integration Theory delineates a continuum of extrinsic motivation, detailing how individuals internalize external values and behavioral regulations. The continuum progresses from external regulation (compliance through rewards and punishments) and introjection (internal pressure, ego-involvement, guilt) to identified regulation (conscious valuing of an activity) and integrated regulation (full congruence with one’s self-concept).

The inclusion of the Value/Usefulness subscale operationalizes identified regulation within the post-experimental framework. This allows researchers to capture instances where a task, although low in spontaneous playfulness, is nonetheless executed with high volition and subjective value because the individual consciously acknowledges its utility.

7. Validity

The psychometric validity of the Intrinsic Motivation Inventory has been corroborated through decades of empirical investigations encompassing construct validity, convergent and discriminant validity, and predictive/criterion-related validity.

Construct Validity

Construct validation was initially established through experimental laboratory paradigms by Deci, Ryan, and colleagues (e.g., Ryan, 1982; Ryan, Mims, & Koestner, 1983). In these studies, participants exposed to autonomy-supportive feedback and choice conditions consistently reported significantly higher scores on Perceived Choice and Interest/Enjoyment, alongside lower Pressure/Tension scores, compared to participants exposed to controlling, performance-contingent reward regimes. Confirmatory factor analytic investigations (e.g., McAuley, Duncan, & Tammen, 1989; Tsigilis & Theodosiou, 2003) have systematically verified that the multi-factor structure reflects distinct constructs rather than a singular halo effect, showing clean discriminant boundaries between perceived competence, perceived choice, and interest.

Convergent Validity

Convergent validity is documented through the robust alignment between IMI self-report metrics and objective behavioral assessments of intrinsic motivation. In traditional SDT laboratory designs, following the post-experimental questionnaire, participants are left alone in an observational room for an unannounced “free-choice period” where they can freely choose to resume the experimental task or engage in alternate distractors (e.g., reading magazines). Meta-analyses (Deci, Koestner, & Ryan, 1999) demonstrate that the Interest/Enjoyment subscale correlates significantly with free-choice behavioral persistence (typically ranging from $r = .35$ to $r = .55$). Furthermore, perceived competence scores correlate strongly with standardized self-efficacy scales (e.g., Bandura’s self-efficacy scales, $r > .60$) and domain-specific mastery inventories.

Discriminant Validity

Discriminant validity is evidenced by the consistent divergence between the Pressure/Tension subscale and the autonomous subscales. While Interest/Enjoyment, Perceived Competence, and Perceived Choice consistently exhibit positive inter-correlations, Pressure/Tension correlates negatively with these dimensions (typically $r = -.30$ to $-.50$). Additionally, studies comparing the IMI to generalized personality traits (e.g., neuroticism, extraversion) demonstrate that the IMI measures transient, task-specific phenomenological states rather than stable dispositional traits, confirming its sensitivity as a state-level manipulation assessment.

8. Reliability

The IMI displays strong internal consistency reliability across varied populations, experimental contexts, and translated versions. Decades of laboratory and applied research establish the following psychometric benchmarks:

Internal Consistency (Cronbach’s Alpha)

Extensive empirical studies show that the individual subscales consistently exceed the standard psychometric threshold of $\alpha = .70$, with most subscales falling between $.80$ and $.90$:

• Interest/Enjoyment: Historically the most reliable subscale, consistently yielding Cronbach’s alpha values between $\alpha = .84$ and $.92$ (e.g., Ryan et al., 1983; McAuley et al., 1989).
• Perceived Competence: Typically exhibits alphas between $\alpha = .80$ and $.88$.
• Effort/Importance: Frequently registers reliability coefficients ranging from $\alpha = .80$ to $.86$.
• Pressure/Tension: Averages between $\alpha = .78$ and $.86$.
• Perceived Choice: Commonly reports internal consistency coefficients between $\alpha = .79$ and $.87$.
• Value/Usefulness: Consistently registers alpha values exceeding $\alpha = .82$ when tailored to specific task outcomes.
• Relatedness: When implemented in interpersonal paradigms, alphas range from $\alpha = .85$ to $.91$.

Test-Retest Stability

Because the IMI is designed as a state-level measure sensitive to experimental perturbations, test-retest reliability is inherently bound by task stability. Under invariant, highly standardized re-test conditions where task parameters remain constant over a short interval (e.g., 1 to 2 weeks), stability coefficients remain high ($r_{tt} = .72$ to $.83$). When task parameters or contextual climates are manipulated, test-retest correlations intentionally drop, confirming the instrument’s sensitivity to situational shifts in motivation.

9. Factor Analysis

The structural dimensionality of the Intrinsic Motivation Inventory has been rigorously examined through both Exploratory Factor Analysis (EFA) and Confirmatory Factor Analysis (CFA), clarifying the independence and interrelationships of its constituent subscales.

Confirmatory Factor Analytic Evidence

In a seminal psychometric validation study, McAuley, Duncan, and Tammen (1989) subjected a 16-item, 4-factor variant of the IMI (examining Interest/Enjoyment, Perceived Competence, Effort/Importance, and Pressure/Tension) to CFA using structural equation modeling. The empirical findings demonstrated excellent fit for the hypothesized multidimensional structure. Subsequent evaluations expanding the model to five, six, and seven factors (including Perceived Choice, Value/Usefulness, and Relatedness; e.g., Tsigilis & Theodosiou, 2003) have consistently reinforced the structural independence of these dimensions.

Standard Fit Indices

Across diverse psychometric investigations, well-specified CFA measurement models of the IMI yield indices indicating excellent model fit:

• Comparative Fit Index (CFI): Values regularly exceed $.92$, often reaching $.95$ to $.97$ in well-controlled settings.
• Tucker-Lewis Index (TLI): Typically ranges between $.91$ and $.96$.
• Root Mean Square Error of Approximation (RMSEA): Consistently maintains values below $.06$ (typically $.042$ to $.058$, with 90% confidence intervals well within acceptable psychometric limits).
• Standardized Root Mean Square Residual (SRMR): Generally falls below $.05$.

Factor Loadings and Cross-Loadings

Item-level factor loadings across confirmatory models are uniformly high. Standardized loadings for intended latent factors predominantly exceed $lambda = .65$, with the majority falling between $.70$ and $.88$. Cross-loadings between unrelated subscales are negligible (typically $< .20$), confirming high structural clarity. While moderate latent inter-factor correlations exist—most notably between Perceived Choice, Perceived Competence, and Interest/Enjoyment ($r = .40$ to $.65$)—hierarchical factor models confirm that these dimensions represent distinct psychological facets rather than redundant items of a single underlying factor.

10. Instrument / Measurement Tool

The Post-Experimental Intrinsic Motivation Inventory is a flexible, multi-item psychometric instrument designed to be configured to the needs of specific research questions. The tool’s primary administrative and structural features include:

• Instrument Type: Subjective, multidimensional self-report state inventory.
• Target Population: Adolescents, college students, and adult experimental participants across diverse laboratory, educational, athletic, and occupational settings.
• Administration Format: Self-administered paper-and-pencil questionnaire, online assessment platform, or integrated digital post-task screen.
• Total Item Pool: Up to 45 standardized items when incorporating all seven subscales. Researchers routinely deploy modular subsets (e.g., 22-item, 25-item, or 30-item variants) based on the theoretical variables under investigation.
• Subscale Composition:
  • Interest/Enjoyment: 7 items (2 reverse-scored)
  • Perceived Competence: 6 items (1 reverse-scored)
  • Effort/Importance: 5 items (2 reverse-scored)
  • Pressure/Tension: 5 items (2 reverse-scored)
  • Perceived Choice: 7 items (5 reverse-scored)
  • Value/Usefulness: 7 items (0 reverse-scored)
  • Relatedness: 8 items (4 reverse-scored)
• Response Scale: 7-point Likert-type rating format:
  • $1$ = Not at all true
  • $2$ = Not true
  • $3$ = Slightly true
  • $4$ = Somewhat true
  • $5$ = Moderately true
  • $6$ = Mostly true
  • $7$ = Very true
• Scoring and Computational Rules:
  • Reverse Scoring: All reverse-coded items (designated with an “(R)”) must be inverted prior to subscale aggregation using the formula: $X_{recoded} = 8 – X_{raw}$.
  • Subscale Scores: Calculated by averaging the scores of the items belonging to that specific subscale. Scores range from $1.0$ to $7.0$, where higher values represent greater levels of the construct.
  • Omnibus Composite Score: Although calculating a single global intrinsic motivation score is discouraged by the scale’s creators, researchers who compute an overall index typically sum the positive subscales and subtract or exclude Pressure/Tension. The primary methodological recommendation within Self-Determination Theory is to analyze subscale scores separately, treating Interest/Enjoyment as the self-report criterion for intrinsic motivation.

11. Permissions & Fee and Test Year

The Post-Experimental Intrinsic Motivation Inventory was developed throughout the late 1970s and 1980s by Edward L. Deci, Richard M. Ryan, and their colleagues, with formalized psychometric configurations published systematically beginning in 1982 and 1983. The instrument was purposefully placed within the open academic domain to support research in human motivation.

The IMI is available free of charge for non-commercial academic research, empirical investigations, and educational evaluation purposes. No formal permissions, licensing agreements, or royalties are required to use, translate, or adapt the items for scholarly, non-commercial studies. The official repository for the inventory, associated scoring guidelines, and theoretical guidance is maintained online through the Center for Self-Determination Theory (selfdeterminationtheory.org). Researchers planning to integrate the instrument into commercial applications, software tools, or proprietary clinical programs should contact the scale authors or the Center for Self-Determination Theory to discuss permissions.

12. References

• Deci, E. L., Koestner, R., & Ryan, R. M. (1999). A meta-analytic review of experiments examining the effects of extrinsic rewards on intrinsic motivation. Psychological Bulletin, 125(6), 627–668. https://doi.org/10.1037/0033-2909.125.6.627
• Deci, E. L., & Ryan, R. M. (1985). Intrinsic motivation and self-determination in human behavior. Plenum Press. https://doi.org/10.1007/978-1-4899-2271-7
• 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
• McAuley, E., Duncan, T., & Tammen, V. V. (1989). Psychometric properties of the Intrinsic Motivation Inventory in a competitive sport setting: A confirmatory factor analysis. Research Quarterly for Exercise and Sport, 60(1), 48–58. https://doi.org/10.1080/02701367.1989.10607413
• Ryan, R. M. (1982). Control and information in the intrapersonal sphere: An extension of cognitive evaluation theory. Journal of Personality and Social Psychology, 43(3), 450–461. https://doi.org/10.1037/0022-3514.43.3.450
• Ryan, R. M., & Deci, E. L. (2017). Self-determination theory: Basic psychological needs in motivation, development, and wellness. Guilford Publications. https://doi.org/10.1521/978.14625/28806
• Ryan, R. M., Mims, V., & Koestner, R. (1983). Relation of reward contingency and interpersonal context to intrinsic motivation: A review and test using cognitive evaluation theory. Journal of Personality and Social Psychology, 45(4), 736–750. https://doi.org/10.1037/0022-3514.45.4.736
• Tsigilis, N., & Theodosiou, A. (2003). Temporal stability of the Intrinsic Motivation Inventory. Perceptual and Motor Skills, 97(1), 271–280. https://doi.org/10.2466/pms.2003.97.1.271

13. Items of the Scale