Experienced autonomy in the examination context

1. Abstract

The Experienced Autonomy in the Examination Context Scale (German: Skala zur Erfassung der erlebten Autonomie im Prüfungskontext) is a standardized psychometric self-report instrument designed to quantify university students’ perceived volition, self-determination, and personal agency regarding academic examinations. Developed by Stefan Janke at the University of Mannheim, the scale specifically operationalizes how students navigate structural constraints, schedule assessments, implement idiosyncratic learning strategies, and experience autonomy within higher education examination frameworks. The instrument comprises six items administered with a 5-point Likert response scale ranging from 1 (“trifft gar nicht zu” / strongly disagree) to 5 (“trifft vollständig zu” / strongly agree). Rooted conceptually in Self-Determination Theory (Deci & Ryan, 1985, 2000) and Pekrun’s (2006) Control-Value Theory of Achievement Emotions, the scale captures two correlated first-order latent dimensions: Self-Determined Examination Planning (autonomous volition and procedural flexibility) and Externally Determined Examination Planning (heteronomous prescription and perceived structural restriction), which load onto a higher-order overarching factor of experienced exam autonomy.

Psychometric evaluation using advanced two-parameter normal-ogive Item Response Theory (IRT) and nonlinear structural equation modeling (SEM) demonstrates strong construct validity, structural fit, and theoretical alignment. In validation studies encompassing 381 undergraduate students across diverse degree curricula differing systematically in structural freedom (Business Administration, Economics, Business Law, and Psychology), the instrument displayed robust predictive and concurrent validity. Perceived autonomy negatively predicted test anxiety, positively covaried with perceived academic competence, and systematically distinguished between curricula with rigid versus flexible examination regulations. A single-item global check item is recommended alongside the scale to confirm measurement stability across novel cohorts. The scale fills a critical empirical void in educational psychology and higher education research, offering a rigorously validated, parsimonious measure to assess institutional climate and personal volition in academic testing.

2. Keywords

Experienced autonomy, examination context, Self-Determination Theory, test anxiety, higher education, academic assessment, Control-Value Theory, psychological needs, structural equation modeling, psychometrics

3. Authors

The scale was developed and psychometrically evaluated by Dipl.-Psych. Dr. Stefan Janke at the Chair of Educational Psychology, University of Mannheim, Germany.

• Author: Dr. Stefan Janke
• Institutional Affiliation: Department of Psychology, Chair of Educational Psychology, University of Mannheim, Schloss Ehrenhof Ost, 68131 Mannheim, Germany
• Contact Email: [email protected]
• Archive Documentation: Leibniz Institute for the Social Sciences (GESIS – ZIS), Email: [email protected]

4. Purpose

Examinations represent high-stakes evaluative hurdles in tertiary education that exert substantial influence over students’ psychological wellbeing, academic persistence, and career trajectories. Despite extensive research on general academic motivation, measurement tools often overlook the specific contextual conditions governing academic examinations. Higher education institutions vary widely in the degree of agency they afford students regarding assessment modalities, sequence timing, and content negotiation. The primary purpose of the Experienced Autonomy in the Examination Context Scale is to provide a domain-specific, psychometrically rigorous instrument that captures the extent to which students feel self-directed, unconstrained, and capable of exercising meaningful choice when preparing for and scheduling their university examinations.

Historically, educational psychology conceptualized student stress primarily as a function of cognitive deficits, maladaptive study habits, or generalized neuroticism. However, contemporary ecological and organizational perspectives recognize that institutional assessment architectures substantially shape student emotionality. When students encounter rigid, unalterable administrative examination tracks, feelings of powerlessness and evaluation apprehension multiply. Conversely, when academic programs incorporate flexibility—such as choice in exam dates, self-regulated preparation intervals, and open formats encouraging personal perspective—students experience elevated feelings of self-determination. This scale was explicitly engineered to measure individual differences in this experienced autonomy and to empirically assess the psychological impact of institutional regulatory frameworks.

In research contexts, the scale serves as a diagnostic and evaluative tool across several applied domains:

• Curriculum Design and Educational Policy: Institutional researchers can deploy the instrument to compare educational cohorts across academic majors or track the psychological repercussions of structural curricular reforms (e.g., transitions from classical diploma programs to modularized Bologna-compliant Bachelor’s and Master’s curricula).
• Academic Emotion Research: Researchers examining academic achievement emotions can utilize the scale to test the explanatory parameters of Pekrun’s control-value framework, treating autonomy as an environmental antecedent directly modifying subjective control appraisals.
• Counseling and Mental Health Interventions: University counseling centers can integrate the tool into broader assessment batteries to determine whether a student’s severe evaluation anxiety stems from generalized intrapsychic traits or an acute perception of heteronomous environmental constriction within their specific degree program.
• Self-Regulated Learning (SRL) Investigations: The scale enables investigators to examine the bidirectional link between contextual autonomy affordances and students’ adoption of deep-level versus surface-level learning strategies.

5. Psychological Construct

The core psychological construct measured by the scale is experienced autonomy in the examination context (erlebte Prüfungsautonomie). Within modern motivational psychology, autonomy is not merely the absence of external restraint or total behavioral independence (Deci & Ryan, 2000; Ryan & Deci, 2017). Rather, it denotes the psychological experience of volition: the organismic desire to self-regulate one’s behavior, endorse one’s actions, and experience personal agency that harmonizes with an integrated sense of self. When transposed to the university testing environment, this construct encompasses a student’s perceived ownership of exam preparation, scheduling, and intellectual expression.

Sub-Facets of the Construct

Factor-analytic investigations reveal that the construct operates via two functionally distinct yet interrelated primary facets, unified under a second-order latent construct:

• Self-Determined Examination Planning and Preparation (Internal Volition): This sub-facet reflects an agentic, proactive stance toward academic assessment. It captures the perception that one can freely design the temporal trajectory of their evaluations, adjust revision workflows to personal learning styles, and express authentic intellectual perspectives. High scores on this facet reflect an internal perceived locus of causality (Reeve & Hamm, 2003), wherein the individual views their study pacing and thematic focus as products of personal volition rather than institutional compulsion. For example, a student endorsing these items experiences the latitude to pace study sessions according to personal fatigue thresholds rather than mandatory cramming cycles.
• Externally Determined Examination Planning (Heteronomous Constraint): This sub-facet captures the feeling of being governed by external systemic mandates, prescriptive bureaucratic timelines, and severe limitations on assessment choices. Heteronomy occurs when students perceive that their academic schedule is imposed arbitrarily from the outside, leaving zero margin to accommodate unexpected life events, personal intellectual interests, or individualized learning curves. In psychometric modeling, this facet is indicated by reverse-oriented statements expressing feelings of systemic entrapment and rigid curricular prescriptions.

Crucially, experienced autonomy does not require absolute absence of rules. Following Katz and Assor (2007), choice only cultivates authentic autonomy when options are perceived as meaningful, relevant to core psychological goals, and unburdened by excessive cognitive overload or coercive hidden conditions. Hence, the construct reflects qualitative subjective perceptions of freedom rather than merely an objective tally of administrative exam dates.

6. Theoretical Framework

The scale integrates two prominent theoretical paradigms in educational and motivational psychology: Self-Determination Theory (SDT) and the Control-Value Theory of Achievement Emotions (CVT).

Self-Determination Theory

Rooted in the seminal formulations of Deci and Ryan (1985, 2000, 2002), SDT posits three universal, innate psychological needs essential for optimal functioning, psychological growth, and constructive social development: the needs for autonomy, competence, and relatedness. In early literature, autonomy was frequently termed self-determination (Deci, 1975). Later writings refined autonomy as volition—the organismic need to experience oneself as the initiator and author of one’s life choices (Ryan, Huta, & Deci, 2008).

SDT contrasts fundamentally with drive-reduction models and hierarchical formulations such as Maslow’s hierarchy of needs (Maslow, 1943). Maslow posited that self-actualization emerges only after basic prepotent deficit motives (physiological, safety, social, esteem) are satisfied. In contrast, Deci and Ryan argue that the need for autonomy is continuously operative and non-hierarchical; even in circumstances of physical or psychological distress, autonomy satisfaction directly impacts human vitality and intrinsic motivation. Reeve and Hamm (2003) further subdivided autonomy into three operational components: (1) internal perceived locus of causality, (2) volition, and (3) perceived choice. The Experienced Autonomy in the Examination Context Scale directly translates these three operational components into assessment items assessing how university students formulate study plans and approach evaluative milestones.

The Control-Value Theory of Achievement Emotions

The scale’s developmental rationale is also informed by Reinhard Pekrun’s (2006, 2011) Control-Value Theory. Pekrun asserts that achievement emotions—such as test anxiety, enjoyment, boredom, and pride—are immediately triggered by two cognitive appraisals: control appraisals (subjective judgments regarding one’s personal agency over academic tasks and outcomes) and value appraisals (the subjective importance attached to these activities and results).

Within this framework, test anxiety is conceptualized as an prospective, negative, outcome-oriented emotion triggered by perceived uncontrollability over a threatening, failure-prone outcome. When students inhabit learning environments characterized by rigid assessment schedules, inflexible examination sequences, and an absence of personal voice, their subjective control appraisals decline. This perceived loss of control amplifies anticipated failure, culminating in elevated test anxiety. Conversely, when educational institutions afford students greater autonomy—allowing them to schedule exams comfortably, choose topics, and organize revision timelines—perceptions of controllability increase, attenuating evaluative fear. The Experienced Autonomy in the Examination Context Scale operationalizes the institutional and environmental antecedent of control appraisals in Pekrun’s model.

7. Validity

The validation study conducted by Janke (2012) at the University of Mannheim evaluated construct, convergent, discriminant, and criterion-related validity across a sample of 381 undergraduate students (53% male, mean age = 20.7 years; 45.7% female, mean age = 20.6 years; 1.3% undisclosed) drawn from the first to fourth semesters (M = 2.7 semesters, SD = 1.03).

Construct and Structural Validity

Construct validity was established using a second-order structural equation model. Two first-order latent dimensions representing Self-Determined and Externally Determined exam preparation loaded robustly onto a general higher-order latent dimension of “Experienced Examination Autonomy” (standardized loadings of .80 and -.87, respectively). The primary dimensions shared an inter-factor correlation of r = .70, demonstrating that while correlated, they tap distinct aspects of autonomous agency versus systemic constraint.

Known-Groups and Environmental Criterion Validity

To assess whether the scale reliably reflects objective structural features of academic environments, the validation study examined cohorts across four degree programs engineered with distinct institutional regulations:

• Low Structural Autonomy Programs: Business Administration (Betriebswirtschaftslehre, n = 138) and Business Law (Unternehmensjura, n = 68), characterized by compulsory cohort schedules, fixed assessment slots, and rigid sequential requirements.
• High Structural Autonomy Programs: Economics (Volkswirtschaftslehre, n = 117) and Psychology (Psychologie, n = 58), characterized by expansive elective pathways, flexible semester-by-semester exam registrations, and modular customization.

In the comprehensive structural model, degree program type significantly predicted latent experienced exam autonomy (standardized path coefficient confirming higher perceived autonomy in Economics and Psychology; model fit: $chi^2(59) = 92.52, p < .01, text{CFI} = .94, text{TLI} = .91, text{RMSEA} = .05$). This confirmed that the scale is sensitive to structural variations in institutional autonomy affordances.

Convergent and Criterion Validity

In accordance with Control-Value Theory, experienced exam autonomy was modeled as a direct predictor of test anxiety, measured via the German adaptation of the Achievement Emotions Questionnaire (AEQ; Pekrun et al., 2011). Experienced exam autonomy yielded a statistically significant negative relationship with test anxiety. Concurrently, academic competence (assessed via the Basic Psychological Needs in Life Scale; Gagné, 2003) correlated positively with exam autonomy and contributed significantly to the mitigation of test anxiety. Control variables—including university entry qualification grade (Abiturnote), gender, and initial study motives—were included in the structural equations, confirming that the influence of exam autonomy on test anxiety remains significant even when controlling for baseline academic capability and background demographics.

8. Reliability

Evaluating the reliability of the Experienced Autonomy in the Examination Context Scale requires examining both traditional internal consistency metrics and latent variable parameter estimates derived from modern psychometric theory.

Structural Homogeneity and Latent Reliability

In the scale development phase, Janke (2012) conducted an initial pilot study with 50 university students (median age = 24 years, 62% female) from semesters 1 to 13 (median = 8 semesters). An exploratory principal component analysis supported the initial unidimensionality of the item pool. However, one experimental item (“Ich habe das Gefühl unter starkem Prüfungsdruck zu stehen” / I feel under severe exam pressure) demonstrated low formal validity and correlated excessively with test anxiety. It was subsequently excised and replaced by Item 6 to maintain conceptual focus on autonomy rather than emotional strain.

In the primary validation sample (N = 381), analyses revealed that treating all six items as a single strictly tau-equivalent or congeneric linear scale yields residual covariation due to item keying directionality. When evaluated as two separate homogeneous sub-facets (Self-Determined vs. Externally Determined), the indicator factor loadings substantiate solid latent reliability:

• Self-Determined Facet: Core items display substantial loadings on the primary factor (Item 1: $lambda = .74$; Item 4: $lambda = .76$). Secondary items displaying broader thematic content yielded lower loadings (Item 2: $lambda = .44$; Item 6: $lambda = .39$).
• Externally Determined Facet: The two reverse-keyed indicators demonstrated strong structural loadings (Item 3: $lambda = .71$; Item 5: $lambda = .58$).

Methodological Recommendations for Applied Research

Because the scale comprises distinct facets and includes lower-loading items capturing tangential aspects of procedural autonomy, the author explicitly advises against relying solely on an unweighted six-item composite sum score without preliminary dimensionality checks. Instead, researchers addressing theory-driven questions should employ nonlinear latent modeling. Furthermore, to guard against potential loss of reliability in brief survey batteries or small samples, the administration of a single-item global check indicator is strongly advised: “Insgesamt fühle ich mich in Bezug auf Planung und Gestaltung meiner Prüfungen autonom” (Overall, I feel autonomous regarding the planning and organization of my examinations). In empirical testing, this global item displayed high convergent correlations with the core subscales, providing a robust backup metric of perceived exam autonomy.

9. Factor Analysis

The latent dimensionality of the six items was thoroughly investigated using nonlinear Confirmatory Factor Analysis (CFA) implementing a two-parameter normal-ogive Item Response Theory (IRT) model. Classical linear CFA assumes continuous, normally distributed indicators with linear item-trait relationships. Because the scale employs a 5-point ordinal response format characterized by pronounced distributional skewness (e.g., Item 2 displayed skewness of -.70; Item 5 displayed skewness of -.83), linear factor analytic assumptions were violated. Consequently, tetrachoric/polychoric correlation matrices were modeled using Mplus (Muthén & Muthén, 2007) via a generalized structural equation modeling framework (Glöckner-Rist & Hoijtink, 2003).

Model Testing Sequence and Fit Indices

Due to the excessive statistical power of the chi-square test in samples exceeding N = 300, model evaluation emphasized descriptive fit statistics: the Comparative Fit Index (CFI), Tucker-Lewis Index (TLI), and the Root Mean Square Error of Approximation (RMSEA). Thresholds of CFI/TLI $ge .90$ (acceptable) and $ge .95$ (good), alongside RMSEA $le .08$ (acceptable) and $le .05$ (good), guided model evaluation (Bollen, 1989).

Initial inspection of Model 1 demonstrated inadequate fit (TLI = .88, RMSEA = .11). Modification indices pinpointed a substantial residual correlation ($r = .27$) between Item 3 and Item 5. Because these were the only two negatively keyed indicators, Janke tested whether this arose from an artifactual method effect via a Correlated Traits-Correlated Methods (CTCM) model (Glöckner-Rist & Rist, 2006). However, the CTCM model failed to provide superior fit over Model 2. Specifying a substantive two-dimensional structure (Model 4)—separating self-determined examination planning from externally determined planning—yielded identical satisfactory fit to M2. In this model, Items 3 and 5 mapped onto their own distinct latent factor rather than functioning purely as reversed indicators of a unitary trait.

Factor Loadings and Descriptive Item Characteristics

10. Instrument / Measurement Tool

• Instrument Name: Experienced Autonomy in the Examination Context Scale (Skala zur Erfassung der erlebten Autonomie im Prüfungskontext)
• Instrument Type: Self-report psychometric rating scale
• Target Population: University, college, and tertiary education students enrolled in degree programs with structured examination frameworks
• Administration Format: Standardized paper-and-pencil or digital/online survey administration
• Item Count: 6 core items (plus 1 recommended single-item global check)
• Administration Duration: Approximately 2 to 3 minutes
• Official Instruction: “Bitte beurteilen Sie die folgenden Aussagen in Bezug auf die Prüfungssituation in Ihrem aktuellen Studienfach. Einige dieser Aussagen beziehen sich auf Ihre Prüfungsplanung. Mit diesem Begriff wird sowohl die Auswahl von Prüfungen, als auch die Wahl des jeweiligen Prüfungszeitpunkts bezeichnet.” (Please rate the following statements in relation to the examination situation in your current field of study. Some of these statements refer to your examination planning. This term denotes both the selection of examinations and the choice of the respective examination date.)
• Response Scale (Mandatory Authentic Format): 5-stufiges Antwortformat mit den Optionen:
  • 1 = trifft gar nicht zu (Does not apply at all)
  • 2 = trifft eher nicht zu (Tends not to apply)
  • 3 = trifft teilweise zu (Applies partially)
  • 4 = trifft eher zu (Tends to apply)
  • 5 = trifft vollständig zu (Applies completely)
• Item Keying and Reverse Scoring:
  • Positively Polled Items (+): Item 1, Item 3, Item 5, and Item 6.
  • Inverted / Negatively Polled Items (-): Item 2 and Item 4.
  • Scoring Rule: Prior to aggregating scores or computing facet metrics, the raw numerical responses to Items 2 and 4 must be reverse-coded: $1 \rightarrow 5$, $2 \rightarrow 4$, $3 \rightarrow 3$, $4 \rightarrow 2$, $5 \rightarrow 1$.
• Subscale Aggregation and Modeling Rules:
  • Sum or mean composite scores may be calculated across sub-facets following appropriate recoding.
  • For advanced empirical investigations, researchers should specify nonlinear measurement and structural equation models including all manifest indicators to properly account for residual method covariance and non-normal ordinal distributions.
• Recommended Global Check Item: “Insgesamt fühle ich mich in Bezug auf Planung und Gestaltung meiner Prüfungen autonom” (Overall, I feel autonomous regarding the planning and organization of my examinations). Used to verify measurement fidelity in cohorts with high sample heterogeneity.

11. Permissions & Fee and Test Year

The scale was developed and psychometrically validated in 2012 as part of Stefan Janke’s diploma thesis at the University of Mannheim. It is published as an open-access scientific measurement tool through the GESIS Leibniz Institute for the Social Sciences (GESIS – ZIS, Open Access Repository for Measurement Instruments).

• Publication Year: 2012
• Licensing: Open Access for non-commercial educational, scientific, and academic research purposes.
• Fees: Free of charge. No licensing royalties or authorization fees are required to administer the instrument in university evaluation or academic research.
• Citation Obligation: Users are requested to cite the original diploma thesis (Janke, 2012) and the GESIS instrument documentation in all formal publications, conference proceedings, or institutional reports resulting from its use.

12. References

• Bollen, K. A. (1989). Structural equations with latent variables. John Wiley & Sons. https://doi.org/10.1002/9781118619179
• Deci, E. L. (1975). Intrinsic motivation. Plenum Press. https://doi.org/10.1007/978-1-4613-4446-9
• 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. (1991). A motivational approach to self: Integration in personalities. In R. A. Dienstbier (Ed.), Nebraska Symposium on Motivation: Perspectives on motivation (Vol. 38, pp. 237–288). University of Nebraska Press.
• 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
• Deci, E. L., & Ryan, R. M. (Eds.). (2002). Handbook of self-determination research. University of Rochester Press.
• Gagné, M. (2003). The role of autonomy support and autonomy orientation in prosocial behavior engagement. Motivation and Emotion, 27(3), 199–223. https://doi.org/10.1023/A:1025007614869
• Glöckner-Rist, A., & Hoijtink, H. (2003). The local independence assumption in latent class analysis and item response theory models: Conceptual and practical considerations. Psychological Methods, 8(3), 331–347. https://doi.org/10.1037/1082-989X.8.3.331
• Glöckner-Rist, A., & Rist, F. (2006). Zur Spezifikation und Prüfung von Multitrait-Multimethod-Modellen mit konfirmatorischer Faktorenanalyse. Methoden, Daten, Analysen, 1(1), 3–26.
• Janke, S. (2012). Strukturell verankerte Entscheidungsfreiheit, erlebte Autonomie und studentisches Befinden im Prüfungskontext [Unpublished diploma thesis]. University of Mannheim, Germany.
• Katz, I., & Assor, A. (2007). When choice motivates and when it does not. Educational Psychology Review, 19(4), 429–442. https://doi.org/10.1007/s10648-006-9027-2
• Levesque, C., Zuehlke, A. N., Stanek, L. R., & Ryan, R. M. (2004). Autonomy and competence in German and American university students: A comparative study based on self-determination theory. Journal of Educational Psychology, 96(1), 68–84. https://doi.org/10.1037/0022-0663.96.1.68
• Maslow, A. H. (1943). A theory of human motivation. Psychological Review, 50(4), 370–396. https://doi.org/10.1037/h0054346
• Muthén, L. K., & Muthén, B. O. (2007). Mplus user’s guide (5th ed.). Muthén & Muthén.
• Pekrun, R. (2006). The control-value theory of achievement emotions: Assumptions, corollaries, and implications for educational research and practice. Educational Psychology Review, 18(4), 315–341. https://doi.org/10.1007/s10648-006-9029-9
• Pekrun, R., Goetz, T., Frenzel, A. C., Barchfeld, P., & Perry, R. P. (2011). Measuring emotions in students’ learning and achievement: The Achievement Emotions Questionnaire (AEQ). Contemporary Educational Psychology, 36(1), 36–48. https://doi.org/10.1016/j.cedpsych.2010.10.002
• Reeve, J., & Hamm, D. (2003). Testing extreme values of the psychological needs for autonomy and competence. Motivation and Emotion, 27(1), 51–78. https://doi.org/10.1023/A:1023620803524
• Reis, H. T., Sheldon, K. M., Gable, S. L., Roscoe, J., & Ryan, R. M. (2000). Daily well-being: The role of autonomy, competence, and relatedness. Personality and Social Psychology Bulletin, 26(4), 419–435. https://doi.org/10.1177/0146167200266002
• Ryan, R. M., & Deci, E. L. (2017). Self-determination theory: Basic psychological needs in motivation, development, and wellness. Guilford Publications. https://doi.org/10.1521/978.14625/28769
• Ryan, R. M., Huta, V., & Deci, E. L. (2008). Living well: A self-determination theory perspective on eudaimonia. Journal of Happiness Studies, 9(1), 139–170. https://doi.org/10.1007/s10902-006-9023-4

13. Items of the Scale (Questionnaire)