Learning Self-Regulation Questionnaire (SRQ-L)

Abstract

The Learning Self-Regulation Questionnaire (SRQ-L) is a psychometric instrument rooted in Self-Determination Theory (SDT), specifically designed to assess motivational orientations and regulatory styles among late adolescents and adult learners within post-secondary, professional, and higher education contexts. Developed initially by Geoffrey C. Williams and Edward L. Deci (1996) for medical students learning clinical interviewing, and later adapted by Anne E. Black and Edward L. Deci (2000) for collegiate chemistry courses, the scale measures why individuals engage in challenging academic behaviors. While related instruments such as the Academic Self-Regulation Questionnaire (SRQ-A) are tailored for children and delineate four individual regulatory styles (external, introjected, identified, and intrinsic), the SRQ-L aggregates motivational drivers into two higher-order regulatory domains: Autonomous Regulation (characterized by intrinsic interest, personal value, and meaningful identification) and Controlled Regulation (characterized by external contingencies, grade pressures, guilt avoidance, and social approval). The standard instrument consists of 14 items across three situational stem questions (with a shortened 12-item version commonly utilized in undergraduate science domains), evaluated on a 7-point Likert scale ranging from 1 (“not at all true”) to 7 (“very true”). Extensively validated across higher education, medical training, and allied healthcare curricula, the SRQ-L exhibits robust internal consistency (Cronbach’s α typically ranging between .75 and .83 for Autonomous Regulation, and .70 to .80 for Controlled Regulation), well-supported construct and criterion validity, and strong predictive utility regarding conceptual learning, psychosocial orientation, academic persistence, and psychological well-being.

Keywords

Learning Self-Regulation Questionnaire, SRQ-L, Self-Determination Theory, Autonomous Regulation, Controlled Regulation, Organismic Integration Theory, Academic Motivation, Medical Education, Higher Education, Relative Autonomy Index, Psychometrics, Internalization

Authors

The Learning Self-Regulation Questionnaire was conceptualized and empirically validated by leading researchers in human motivation and educational psychology at the University of Rochester:

• Geoffrey C. Williams, M.D., Ph.D. — Professor Emeritus of Medicine, Psychiatry, and Psychology at the University of Rochester Medical Center. Dr. Williams has been a pioneer in translating self-determination theory into clinical medicine, patient-centered care, and medical student professional development.
• Edward L. Deci, Ph.D. — Professor Emeritus of Psychology and Gowen Professor in the Social Sciences at the University of Rochester. Dr. Deci is the co-founder (alongside Richard M. Ryan) of Self-Determination Theory, internationally recognized for decades of foundational research on intrinsic motivation, autonomy, and human behavioral regulation.
• Anne E. Black, Ph.D. — Research Associate and Collaborator at the University of Rochester (later affiliated with the Yale School of Medicine), who collaborated with Dr. Deci to adapt and validate the SRQ-L for undergraduate Science, Technology, Engineering, and Mathematics (STEM) learning environments.

Purpose

The Learning Self-Regulation Questionnaire was formulated to evaluate the qualitative dimensions of human motivation underlying engagement, persistence, and performance in rigorous higher education environments. In early self-determination research, scales measuring academic regulation primarily targeted elementary and middle school populations (e.g., Ryan & Connell, 1989). However, emerging adults, undergraduate students, and professional graduate trainees (such as medical students) operate within distinctly different academic ecologies. Adult learners confront sophisticated curricula requiring independent conceptual mastery, critical thinking, deep-level cognitive processing, and the assimilation of professional values and clinical ethics.

Traditional measures of academic motivation frequently relied upon quantitative dichotomies, such as measuring the absolute magnitude of motivation or dividing behaviors simply into “motivated versus unmotivated.” The primary purpose of the SRQ-L is to assess the quality of motivation rather than its sheer quantity. By evaluating the relative balance between autonomous reasons for learning (acting out of genuine intellectual interest or recognizing the fundamental importance of the knowledge to one’s future professional identity) and controlled reasons (studying solely to obtain high grades, avoid negative evaluations, appease instructors, or suppress internalized feelings of guilt and shame), the scale enables researchers and educators to investigate how motivational quality influences educational outcomes.

In educational and clinical research settings, the SRQ-L serves several critical functions:

• Evaluating Instructional Climates: It measures how autonomy-supportive versus controlling pedagogical environments foster or inhibit the internalization of course material.
• Predicting Deep Processing and Conceptual Retention: It tests empirical hypotheses regarding whether autonomously regulated students exhibit superior conceptual understanding compared to controlled students who often rely on rote memorization.
• Assessing Professional Socialization: In medical and healthcare education, the SRQ-L tracks how trainees adopt compassionate, patient-centered, biopsychosocial values rather than purely mechanistic or compliance-driven behavioral routines.
• Diagnosing Academic Distress: It helps identify cohorts vulnerable to academic burnout, anxiety, performance decrements, and course attrition driven by excessive controlled regulation.

Psychological Construct

The psychological construct evaluated by the SRQ-L is academic self-regulation, defined as the psychological processes through which individuals initiate, guide, sustain, and integrate their learning behaviors. Within the framework of Organismic Integration Theory (OIT)—a sub-theory of Self-Determination Theory—extrinsic motivation is not viewed as an invariant, non-autonomous state. Instead, extrinsically motivated behaviors can vary substantially in their degree of autonomy, depending on how thoroughly the underlying social values and behavioral demands have been internalized and integrated into the individual’s sense of self.

Unlike childhood-focused scales that separate regulation into four distinct subscales (external regulation, introjected regulation, identified regulation, and intrinsic motivation), the SRQ-L groups these motivational subtypes into two overarching, statistically robust “super-categories”:

1. Autonomous Regulation

Autonomous regulation represents self-determined behavior characterized by the experience of volition, psychological freedom, and personal endorsement. In the SRQ-L, autonomous regulation combines items reflecting:

• Identified Regulation: Behavior driven by an understanding of the personal utility, meaningfulness, and developmental value of the activity. The individual consciously identifies with the target goal (e.g., studying clinical interviewing because mastering effective communication is recognized as an indispensable attribute of an ethical physician).
• Intrinsic Motivation: Behavior initiated solely for the inherent satisfaction, intellectual stimulation, curiosity, and enjoyment derived directly from the activity itself (e.g., exploring organic chemistry mechanisms because the underlying biochemical logic is intellectually fascinating).

Because autonomous regulation aligns with one’s core values and interests, learners functioning predominantly under autonomous regulation experience lower cognitive fatigue, higher conceptual integration, superior performance on complex tasks, and enhanced vitality.

2. Controlled Regulation

Controlled regulation represents non-self-determined behavior characterized by psychological pressure, coercion, obligation, or external contingencies. In the SRQ-L, controlled regulation integrates items reflecting:

• External Regulation: Behavior mobilized entirely by externally administered contingencies, including rewards, teacher approval, grades, or the threat of formal sanctions (e.g., studying course material merely to pass an exam or because an instructor commanded it).
• Introjected Regulation: Behavior governed by internalized, introjected pressures that have not been truly integrated into the self. Learners act to protect fragile self-esteem, inflate ego pride, avoid internal guilt, or prevent social disapproval (e.g., studying intensely because failing to do so would make one feel worthless, or to project an image of superior intelligence to peers).

Controlled regulation compels the individual to behave via internal or external coercion. Although controlled regulation can generate short-term effort and compliance, it is consistently associated with heightened performance anxiety, superficial learning strategies, emotional exhaustion, and vulnerability to depressive symptoms.

Theoretical Framework

The theoretical architecture of the SRQ-L is explicitly grounded in Self-Determination Theory, pioneered by Edward L. Deci and Richard M. Ryan. SDT posits that human beings are active, growth-oriented organisms possessing an innate, natural tendency toward psychological growth, integration, and the mastery of environmental challenges. However, this optimal development is not automatic; it requires ongoing nutriments from the social environment.

The Continuum of Self-Determination

Organismic Integration Theory conceptualizes human motivation not as a simple intrinsic-versus-extrinsic binary, but as a continuum reflecting increasing degrees of autonomy and internalization:

1. Amotivation: Complete absence of intent or perceived competence.
2. External Regulation: Compliance driven exclusively by external incentives and punishments.
3. Introjected Regulation: Self-control, ego-involvement, internal rewards of pride, and punishments of guilt or shame.
4. Identified Regulation: Conscious valuing of an activity; acceptance of the behavior as personally significant.
5. Integrated Regulation: Full congruence with one’s broader identity and integrated value system.
6. Intrinsic Motivation: Pure interest, inherent enjoyment, and spontaneous engagement.

In developing the SRQ-L, Williams and Deci (1996) recognized that in post-secondary and graduate-level professional education, behaviors are rarely driven entirely by pure intrinsic motivation. Much of what is required in advanced education (e.g., memorizing extensive anatomical terminology, mastering challenging biochemical equations, or adhering to rigorous diagnostic protocols) involves arduous tasks that students would not necessarily perform purely for spontaneous enjoyment. Therefore, the critical psychological distinction in adult learning environments is whether the learner experiences their regulatory reasons as autonomous (endorsing the value of the material and feeling volitional) or controlled (feeling driven by internal or external pressures).

Basic Psychological Needs as Mediators

Underpinning the internalization process are the three Basic Psychological Needs defined by SDT:

• Autonomy: The experience of volition, psychological agency, and self-endorsement of one’s actions.
• Competence: Feeling effective in interacting with the academic environment and experiencing opportunities to exercise and expand one’s capabilities.
• Relatedness: Experiencing a sense of belonging, mutual respect, and secure connection with instructors, mentors, and peers.

When educational environments provide autonomy support (offering choice, minimizing coercion, providing meaningful rationales for tasks, and acknowledging negative feelings), students internalize regulatory processes, transitioning from controlled to autonomous regulation.

Validity

The validity of the SRQ-L has been extensively established across diverse educational contexts, including medical schools, collegiate science courses, engineering disciplines, and general undergraduate curricula.

Construct and Structural Validity

Initial construct validation conducted by Williams and Deci (1996) with second-year medical students evaluated the degree to which items clustered into theoretically coherent autonomous and controlled dimensions. Inter-factor correlations confirmed that Autonomous and Controlled Regulation represent distinct, negatively or orthogonally correlated constructs (typically exhibiting correlations between $r = -.10$ and $r = .15$, depending on the academic sample). This demonstrates that autonomy and control are not simply inverse polarities of a single continuum, but independent regulatory dimensions that can co-occur in complex learning situations.

Convergent and Discriminant Validity

The SRQ-L demonstrates strong convergent validity with theoretically allied psychometric measures:

• Autonomous Regulation correlates positively with perceived educational competence, deep-level cognitive processing strategies, task persistence, psychological vitality, and perceived autonomy support from instructors ($r = .35$ to $.55$, $p < .001$).
• Controlled Regulation correlates positively with academic anxiety, surface-level rote memorization, fear of failure, defensive perfectionism, and depressive affect ($r = .25$ to $.48$, $p < .01$).
• Discriminant validity is supported by the divergence between autonomous regulation and standardized aptitude scores (such as the Medical College Admission Test [MCAT] or SAT scores), confirming that the SRQ-L captures motivational orientation rather than baseline cognitive capacity.

Criterion-Related and Predictive Validity

The predictive validity of the SRQ-L has been substantiated across several seminal longitudinal investigations:

• Medical Education (Williams & Deci, 1996): Autonomous regulation among medical students participating in an “Organ Systems” interviewing course predicted significant increases in their psychosocial, patient-centered orientations over time. Furthermore, autonomously motivated students were rated by standardized patients during clinical examination encounters as exhibiting significantly higher empathy, active listening, and interpersonal competence.
• Undergraduate STEM Education (Black & Deci, 2000): In a prospective study of students enrolled in challenging college organic chemistry courses, autonomous regulation assessed at the beginning of the semester predicted higher final course grades, lower course withdrawal rates, and greater perceived competence at semester end, even after statistically controlling for prior academic performance (SAT scores and cumulative GPA).
• Long-Term Professional Retention: Higher Relative Autonomy Index (RAI) scores derived from the SRQ-L prospectively predict reduced rates of professional burnout, higher job satisfaction, and sustained engagement in clinical specialties years after graduation.

Reliability

The SRQ-L exhibits robust internal consistency across varying academic settings, disciplines, and demographic cohorts.

Internal Consistency

Empirical evaluations consistently document acceptable to excellent reliability coefficients for both composite subscales:

• Autonomous Regulation: In the initial medical student cohort (Williams & Deci, 1996), Cronbach’s α was .81. In subsequent undergraduate science studies (Black & Deci, 2000), internal consistency remained stable at α = .75 to .80 across multiple assessment time points (start, middle, and end of the semester). Subsequent international validations in higher education have reported α coefficients between .78 and .85.
• Controlled Regulation: In Williams and Deci (1996), the controlled subscale yielded an α of .75. In Black and Deci (2000), internal consistency was α = .72. Across broader post-secondary cohorts, reliability estimates for controlled regulation generally fall within the .71 to .79 range.

Test-Retest Stability

Because self-regulatory styles are conceptualized as motivational states influenced by situational and environmental nutriments (such as shifts in an instructor’s autonomy support), test-retest reliability reflects both trait-like stability and state-like responsiveness. Across stable educational environments over 6- to 12-week test-retest intervals, stability coefficients range from $r = .65$ to $r = .78$, confirming sufficient temporal stability while remaining sensitive to systemic interventions in instructional style.

Factor Analysis

The factor structure of the SRQ-L has been examined using both Exploratory Factor Analysis (EFA) and Confirmatory Factor Analysis (CFA) across various university populations.

Exploratory Factor Analysis

Principal axis factoring with oblique (e.g., Promax or Oblimin) rotation consistently yields a clean two-factor solution corresponding to the two hypothesized super-categories: Autonomous Regulation and Controlled Regulation. Items reflecting identified regulation (e.g., “Because learning to interview well is an important part of becoming a doctor”) and intrinsic motivation (e.g., “Because it’s exciting to try new ways to work interpersonally with my patients”) load strongly on the primary Autonomous factor, with factor loadings typically ranging between .52 and .84, without substantial cross-loadings onto the Controlled factor (< .25).

Conversely, items measuring external compliance (e.g., “Because I would get a good grade if I do what he/she suggests”) and introjected dynamics (e.g., “Because I would probably feel guilty if I didn’t comply with my instructor’s suggestions”) load substantially on the secondary Controlled factor, with loadings ranging from .48 to .79.

Confirmatory Factor Analysis & Goodness-of-Fit

Structural equation modeling and CFA have confirmed the superiority of the two-factor oblique model over a single-factor unidimensional model or unconstrained four-factor models. Standard goodness-of-fit indices across published validations typically satisfy rigorous psychometric criteria:

• Comparative Fit Index (CFI): .92 to .96
• Tucker-Lewis Index (TLI): .90 to .95
• Root Mean Square Error of Approximation (RMSEA): .045 to .068 (with 90% confidence intervals within acceptable thresholds)
• Standardized Root Mean Square Residual (SRMR): .042 to .061

The empirical retention of the two “super-categories” rather than four distinct subscales is supported by the psychometric properties of adult samples: in advanced academic tasks, learners’ identified and intrinsic reasons tend to be highly intercorrelated ($r > .70$), as do external and introjected reasons ($r > .60$). Consequently, modeling them as two composite factors provides superior parsimony, structural clarity, and predictive power.

Instrument / Measurement Tool

The standard Learning Self-Regulation Questionnaire is structured as follows:

• Target Population: College undergraduates, graduate students, medical trainees, and adult continuing education learners.
• Administration Format: Self-report questionnaire; available in paper-and-pencil or computerized/online formats.
• Completion Time: Approximately 5 to 8 minutes.
• Item Architecture: The standard version contains 14 items organized under three situational stems representing core academic behaviors:
  • Stem A: Reasons for active participation in class (Items 1–4).
  • Stem B: Reasons for following the instructor’s suggestions/guidance (Items 5–10).
  • Stem C: Reasons for continuing to broaden and expand skills/knowledge (Items 11–14).
• Response Format: 7-point Likert scale:
  • 1: Not at all true
  • 2–3: Unlabeled intermediate options
  • 4: Somewhat true
  • 5–6: Unlabeled intermediate options
  • 7: Very true
• Subscale Composition (14-Item Standard Version):
  • Autonomous Regulation (7 items): Items 1, 3, 6, 9, 11, 13, and 14. These reflect identified regulation and intrinsic motivation.
  • Controlled Regulation (7 items): Items 2, 4, 5, 7, 8, 10, and 12. These reflect external regulation and introjected regulation. (Note: Item 12, reflecting feeling proud of oneself, is classified as introjected regulation because self-aggrandizing pride functions as an internal ego-contingency).
• Scoring Procedures:
  • Subscale Means: Calculate the arithmetic mean of the respective items for each subscale:
    $$\text{Autonomous Score} = \frac{\sum(\text{Items } 1, 3, 6, 9, 11, 13, 14)}{7}$$
    $$\text{Controlled Score} = \frac{\sum(\text{Items } 2, 4, 5, 7, 8, 10, 12)}{7}$$
  • Relative Autonomy Index (RAI): When a single composite motivation index is desired for structural modeling or correlational analyses, an RAI difference score is computed:
    $$\text{RAI} = \text{Autonomous Score} – \text{Controlled Score}$$
    Positive RAI values indicate that autonomous regulation predominates over controlled regulation, whereas negative values reflect predominantly controlled regulation.
• Contextual Adaptability: The wording of the stems and items can be adapted to refer to specific subject domains (e.g., “organic chemistry,” “engineering design,” “nursing clinical practicum”) without altering the psychometric properties of the instrument.

Permissions & Fee and Test Year

• Original Publication Year: 1996 (Williams & Deci, validated in medical education); adapted in 2000 (Black & Deci, validated in collegiate science education).
• Authors / Copyright Holders: Geoffrey C. Williams, Edward L. Deci, Anne E. Black, and the Self-Determination Theory research community.
• Licensing and Accessibility: The SRQ-L is classified as an open-access academic research instrument. It is freely accessible for non-commercial educational, scholarly, and clinical research purposes through the official Self-Determination Theory portal (selfdeterminationtheory.org).
• Commercial Usage: Commercial applications, proprietary training programs, or integration into fee-based assessment software require formal written permission from the copyright holders or designated SDT institutional representatives.

References

• Black, A. E., & Deci, E. L. (2000). The effects of instructors’ autonomy support and students’ autonomous motivation on learning organic chemistry: A self-determination theory perspective. Science Education, 84(6), 740–756. https://doi.org/10.1002/1098-237X(200011)84:6<740::AID-SCE4>3.0.CO;2-3
• Deci, E. L., & Ryan, R. M. (1985). Intrinsic motivation and self-determination in human behavior. Springer Science & Business Media. 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
• Ryan, R. M., & Connell, J. P. (1989). Perceived locus of causality and internalization: Examining reasons for acting in two domains. Journal of Personality and Social Psychology, 57(5), 749–761. https://doi.org/10.1037/0022-3514.57.5.749
• 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
• Williams, G. C., & Deci, E. L. (1996). Internalization of biopsychosocial values by medical students: A test of self-determination theory. Journal of Personality and Social Psychology, 70(4), 767–779. https://doi.org/10.1037/0022-3514.70.4.767
• Williams, G. C., Saizow, R. B., & Ryan, R. M. (1999). The importance of self-determination theory for medical education. Academic Medicine, 74(9), 992–995. https://doi.org/10.1097/00001888-199909000-00010

Items of the Scale