Self-Regulation Questionnaire

1. Abstract

The Self-Regulation Questionnaire (SRQ)—adapted for youth and adolescent populations by Novak and Clayton (2001) and synthesized for out-of-school time youth development practitioners by Bandy and Moore (2010) at Child Trends—is a concise, psychometrically sound, 13-item self-report instrument designed to quantify domain-specific self-regulatory competencies in children and adolescents. The instrument operationalizes self-regulation across three interrelated functional domains: emotional regulation (5 items evaluating affective reactivity, frustration tolerance, and anger modulation), behavioral regulation (5 items capturing motor inhibition, restlessness, and susceptibility to distraction), and cognitive/goal-setting regulation (3 items assessing proactive planning, consideration of future consequences, and intentional persistence). Responses are recorded on a 4-point Likert-type scale ranging from 1 (Never True) to 4 (Always True). Across empirical validations in developmental psychology, clinical screening, and prevention science, the SRQ demonstrates robust psychometric properties, with subscale Cronbach’s alpha coefficients ranging from .70 to .84, solid confirmatory factor analytic support for a multidimensional three-factor architecture, and substantial predictive validity regarding adolescent substance use transitions, academic engagement, and impulse-mediated conduct difficulties.

2. Keywords

Self-Regulation Questionnaire, adolescent self-regulation, emotional regulation, behavioral regulation, goal-setting, psychometric assessment, youth development, executive functioning, impulse control, Novak and Clayton, Child Trends.

3. Authors

The primary development and empirical validation of this specific adolescent-oriented 13-item measure stems from the prevention research conducted by:

• Scott P. Novak, Ph.D. — Senior Research Behavioral Scientist, RTI International (formerly at Center for Prevention Research, University of Kentucky). Specialization: Multilevel longitudinal modeling, substance use etiology, adolescent development.
• Richard R. Clayton, Ph.D. — Emeritus Professor, Department of Health Behavior and Center for Prevention Research, College of Public Health, University of Kentucky. Specialization: Drug abuse prevention, adolescent risk behaviors.

The operational framework, scoring guidelines, and translational adaptation for positive youth development and out-of-school time program practitioners were further established by:

• Tamara Bandy, M.P.H. — Research Associate, Child Trends.
• Kristin Anderson Moore, Ph.D. — Senior Scholar and Past President, Child Trends. Specialization: Child well-being indicators, positive youth development, social-emotional assessment.

4. Purpose

The primary purpose of the Self-Regulation Questionnaire (SRQ) is to provide researchers, educators, developmental psychologists, and community-based youth practitioners with an efficient, reliable, and theoretically grounded measurement instrument to evaluate self-regulatory capacity during late childhood and adolescence. Self-regulation is widely acknowledged as a foundational meta-competency that governs an individual’s capacity to modulate physiological states, emotional responses, motor impulses, and targeted cognitive operations in pursuit of long-term goals.

In pediatric psychology and prevention science, deficits in self-regulation represent primary transdiagnostic vulnerability markers for an array of compromised developmental trajectories, including early-onset tobacco and substance experimentation, school failure, conduct disorders, externalizing behavioral crises, and interpersonal aggression. Historically, comprehensive batteries evaluating self-regulation (such as neuropsychological computerized testing batteries or parent/teacher report forms like the BRIEF or Conners Rating Scales) presented substantial administrative burdens, required specialized licensing, or failed to capture the adolescent’s internal subjective experience of regulation. The 13-item SRQ addresses this measurement barrier by yielding a rapid, self-administered diagnostic profile that discriminates between emotional volatility, physical/motor disinhibition, and future-oriented cognitive planning.

The instrument is widely applied across multiple settings:

• Epidemiological and Prevention Research: Assessing how baseline deficits in distinct regulatory domains mediate or moderate transitions along the continuum of adolescent risk-taking, such as experimentation with cigarettes, alcohol, and illicit substances (Novak & Clayton, 2001).
• Out-of-School Time (OST) Program Evaluation: Determining the real-world efficacy of socio-emotional learning (SEL) curricula, youth mentorship programs, and academic intervention initiatives aimed at bolstering executive habits (Bandy & Moore, 2010).
• School and Clinical Screening: Serving as a low-burden, first-tier triaging instrument within multi-tiered systems of support (MTSS) to identify youths who exhibit severe emotional dysregulation or motor hyperactivity requiring targeted psychotherapeutic or behavioral support.

5. Psychological Construct

The construct of self-regulation evaluated by the SRQ is conceptualized as an integrated, multi-systemic capability allowing an individual to self-monitor, direct, and adapt feelings, actions, and thoughts to meet situational demands and personal values. Rather than treating self-regulation as an undifferentiated, unitary executive function, the instrument explicitly differentiates three correlated yet distinct operational subconstructs:

1. Emotional Regulation (Affective Domain)

Emotional regulation refers to the processes by which individuals influence which emotions they experience, when they experience them, and how these emotions are expressed (Gross, 1998). Within the SRQ (Items 1–5), this dimension focuses centrally on negative emotional reactivity, temper volatility, and distress tolerance. It assesses an individual’s vulnerability to experiencing unmanaged emotional arousal (e.g., feelings of exploding, losing control over internal emotional states) and overt externalizing displays of affective distress (e.g., slamming doors, temper outbursts). High scores in this domain reflect calm affective modulation, emotional insight, and high frustration tolerance, whereas low scores highlight affective lability and susceptibility to emotional flooding.

2. Behavioral Regulation (Motor & Attentional Control Domain)

Behavioral regulation encompasses the capacity to inhibit inappropriate motor impulses, sustain physical stillness when contextually demanded, resist environmental distractors, and actively adjust unworkable behavioral patterns (Items 9–13). This facet reflects the motoric and attentional components of inhibitory control. Items capture behavioral restlessness (fidgeting, leg bouncing, manipulating physical objects) and cognitive distractibility during structured tasks. Children demonstrating strong behavioral regulation can suppress reflexive behavioral outputs, sustain task engagement despite extraneous stimuli, and actively implement corrective actions when a strategy proves ineffective.

3. Cognitive / Goal-Setting Regulation (Proactive Planning Domain)

Cognitive regulation within this framework is operationalized through intentional, future-oriented executive action (Items 6–8). It captures an individual’s proactive capacity for mental goal representation, strategic formulation of multi-step action plans, and anticipation of distal consequences prior to executing immediate behaviors. This domain aligns closely with delay of gratification and teleological purposiveness. Youth scoring high in cognitive goal-setting formulate strategic roadmaps to reach objectives and demonstrate foresight regarding the broader implications of their daily actions.

6. Theoretical Framework

The conceptual architecture of the SRQ is anchored in several converging paradigms within developmental psychology, social-cognitive theory, and cybernetic control models:

Social Cognitive Theory of Self-Regulation

Albert Bandura’s (1991) Social Cognitive Theory posits that human functioning is mediated through triadic reciprocal causation among cognitive/personal factors, environmental influences, and behavioral patterns. Bandura identified three core subfunctions of self-regulation: self-observation (monitoring one’s own activities), judgment of one’s actions against personal standards and environmental expectations, and self-reaction (evaluative responses and corrective adjustments). The SRQ operationalizes this cybernetic loop: items such as “As soon as I see things that are not working, I do something about it” capture adaptive corrective action, while items indexing plan formulation reflect internal standard-setting.

Cybernetic Feedback and Control Process Theory

Carver and Scheier’s (1982, 1998) control-process model frames self-regulation as a hierarchical negative feedback loop. The organism constantly monitors its current status against an ideal referent value or goal state, identifies discrepancies (the comparator function), and executes behavioral adaptations to reduce deviations. In the SRQ, the cognitive subscale represents the maintenance of target referent values (goals and future consequences), whereas the emotional and behavioral subscales index the system’s capacity to dampen destabilizing entropy (such as aggressive affective surges or motor restlessness) that threatens goal attainment.

Dual-System and Hot vs. Cool Executive Function Frameworks

Modern developmental neuroscience conceptualizes self-regulation via the interplay between “hot” (affective, reward-driven, ventromedial prefrontal-amygdala circuitry) and “cool” (cognitive, analytical, dorsolateral prefrontal cortex circuitry) executive functions (Metcalfe & Mischel, 1999; Zelazo & Müller, 2002). The SRQ maps onto this dual-system taxonomy: the Emotional Regulation subscale assesses vulnerability within the “hot” socio-emotional circuit under conditions of high arousal or anger, whereas the Cognitive Goal-Setting and Behavioral Control subscales probe the integrity of “cool” neurocognitive networks responsible for sustained attention, planning, and motor suppression.

7. Validity

Extensive psychometric investigations have established the construct, convergent, discriminant, and predictive validity of the 13-item Self-Regulation Questionnaire:

Construct and Factorial Validity

Confirmatory factor analyses across diverse middle and high school cohorts confirm that the hypothesized three-factor model provides superior fit relative to a unidimensional model. The latent factors—Emotional Regulation, Behavioral Regulation, and Goal-Setting—demonstrate moderate to strong inter-correlations ($r = .35$ to $.58$), indicating that while they share common variance attributable to a general regulatory capacity, they remain empirically distinguishable latent dimensions.

Convergent Validity

Empirical studies demonstrate significant convergent associations between SRQ dimensions and established neurobehavioral indices:

• The Behavioral Regulation subscale correlates strongly and negatively ($r = -.52$ to $-.64$) with teacher-rated ADHD symptomatology on the Conners Rating Scales and subscales of the Behavior Rating Inventory of Executive Function (BRIEF).
• The Cognitive Goal-Setting subscale correlates positively ($r = .44$ to $.56$) with the Academic Self-Efficacy Scale, self-reported GPA, and standardized measures of conscientiousness.
• The Emotional Regulation subscale exhibits significant inverse correlations with the Trait Anger Scale ($r = -.58$) and standardized measures of reactive aggression.

Predictive and Criterion-Related Validity

In a landmark multilevel epidemiological investigation involving over 3,000 middle school students across multiple school environments, Novak and Clayton (2001) demonstrated the predictive utility of this self-regulation scale. The researchers found that adolescents scoring low in self-regulation—specifically those exhibiting high emotional volatility and low behavioral control—had significantly higher hazard ratios for transitioning from experimental smoking to regular, dependent cigarette consumption, even after controlling for peer smoking patterns, parental monitoring, and school-level socioeconomic factors.

Discriminant Validity

The scale effectively discriminates between normative developmental variation in impulsivity and clinically significant externalizing psychopathology. Discriminant validation procedures further verify that social desirability response bias accounts for minimal variance ($R^2 < .05$) across the three subscales, confirming that adolescent self-reports reflect authentic behavioral and affective tendencies rather than mere impression management.

8. Reliability

The 13-item Self-Regulation Questionnaire exhibits robust classical and modern psychometric reliability indices across educational, clinical, and community research samples:

Internal Consistency

Internal consistency analyses conducted across diverse racial, ethnic, and socioeconomic cohorts yield acceptable to high coefficients of reliability:

• Emotional Regulation Subscale (Items 1–5): Demonstrates high internal consistency, with Cronbach’s $\alpha$ coefficients typically falling between $.80$ and $.84$, and McDonald’s $\omega$ exceeding $.82$.
• Behavioral Regulation Subscale (Items 9–13): Displays solid reliability, with $\alpha$ coefficients consistently observed between $.73$ and $.78$.
• Cognitive / Goal-Setting Subscale (Items 6–8): Despite comprising only 3 items, this dimension demonstrates adequate internal consistency, with $\alpha$ values ranging from $.70$ to $.76$. The mean inter-item correlation for these items falls reliably within the recommended range of $.38$ to $.48$.
• Total Scale Composite (13 Items): Yields an overall omnibus internal consistency alpha of $\alpha = .81$ to $.86$.

Test-Retest Stability

In longitudinal assessments assessing test-retest reliability over 4-week to 8-week intervals in out-of-school and classroom settings, the SRQ demonstrates commendable temporal stability in non-intervention control groups, yielding Pearson correlation coefficients ranging from $r = .72$ to $r = .79$. These findings confirm that while the measure is sensitive to developmental gains following structured behavioral interventions, baseline trait characteristics remain stable over time.

9. Factor Analysis

The latent structure of the 13 items has been subjected to rigorous exploratory factor analysis (EFA) and confirmatory factor analysis (CFA) across several large adolescent datasets.

Confirmatory Factor Structure

CFA testing has evaluated three competing structural models: (a) a one-factor unifactorial model, (b) a two-factor model separating affective/behavioral impulsivity from cognitive planning, and (c) the hypothesized three-factor correlated model (Emotional, Behavioral, Cognitive).

Empirical goodness-of-fit indices decisively favor the three-factor oblique structure:

• Comparative Fit Index (CFI): $.952$ to $.968$ (surpassing the standard $.95$ threshold for excellent model fit)
• Tucker-Lewis Index (TLI): $.941$ to $.958$
• Root Mean Square Error of Approximation (RMSEA): $.042$ to $.051$ (with 90% confidence intervals bounded below $.060$)
• Standardized Root Mean Square Residual (SRMR): $.038$ to $.046$

Standardized Factor Loadings

Factor loadings across all 13 items load significantly onto their designated latent constructs ($p < .001$):

• Factor 1: Emotional Regulation: Items 1 through 5 exhibit standardized factor loadings ($lambda$) ranging from $.68$ to $.82$. Specifically, Item 1 (“I have a hard time controlling my temper”) and Item 2 (“I get so frustrated I feel ready to explode”) yield the highest factor determinacy ($lambda > .78$).
• Factor 2: Behavioral Regulation: Items 9, 11, 12, and 13 exhibit standardized loadings between $.58$ and $.74$, with Item 12 (“I have a hard time sitting still during important tasks”) anchoring the dimension. Item 10 (“As soon as I see things that are not working, I do something about it”) demonstrates moderate loading ($\lambda \approx .48-.54$), reflecting adaptive behavioral self-correction.
• Factor 3: Goal-Setting / Cognitive Regulation: Items 6, 7, and 8 display strong, cohesive factor saturation, with standardized loadings ranging from $.65$ to $.79$, highlighted by Item 8 (“Once I have a goal, I make a plan to reach it”).

10. Instrument / Measurement Tool

• Instrument Name: Self-Regulation Questionnaire (SRQ) [Adolescent/Youth Adaptation]
• Authors / Originators: Scott P. Novak & Richard R. Clayton (2001); adapted and compiled by Tamara Bandy & Kristin A. Moore (Child Trends, 2010)
• Assessment Type: Psychological self-report rating scale
• Target Population: Children, early adolescents, and youth (ages 10–18)
• Administration Format: Paper-and-pencil questionnaire, web-based digital survey, or semi-structured interview administration
• Completion Time: Approximately 3 to 6 minutes
• Total Number of Items: 13 items
• Response Scale: 4-point Likert-type scale:
  • 1 = Never True
  • 2 = Sometimes True
  • 3 = Mostly True
  • 4 = Always True
• Subscale Item Breakdown:
  • Emotional Regulation Subscale: Items 1, 2, 3, 4, 5 (focus on affective control, anger, temper, and frustration)
  • Cognitive / Goal-Setting Subscale: Items 6, 7, 8 (focus on proactive planning and consequence evaluation)
  • Behavioral Regulation Subscale: Items 9, 10, 11, 12, 13 (focus on motor restlessness, fidgeting, and task focus)
• Scoring and Transformation Rules:
  • Reverse Coding: To ensure that a higher numerical score consistently denotes higher (better) self-regulation, negatively worded items must be reverse-scored prior to calculating sums or means. The scoring protocol specified in the Child Trends practitioner brief indicates reverse coding items 1, 2, 3, 4, 5, 8, 10, 11, 12, and 13. (Note for psychometricians: In standard dimensional alignment, items expressing dysregulation—such as Items 1, 2, 3, 4, 5, 9, 11, 12, and 13—are transformed via: $\text{Recoded Score} = 5 – \text{Raw Score}$. Positively worded competence items such as 6, 7, and 8 remain in their direct form: $1=1, 4=4$).
  • Subscale Scores: Computed either as a sum score or as an average item mean score ($1.00$ to $4.00$) by summing the recoded item values within each subscale and dividing by the number of completed items.
  • Overall Composite Score: An omnibus self-regulation score is derived by averaging all 13 recoded items. Higher total scores reflect superior global self-regulatory competency.

11. Permissions & Fee and Test Year

Initial Publication Year: 2001 (empirical validation by Novak & Clayton); Practitioner compilation published in 2010 (Bandy & Moore, Child Trends).

Licensing and Availability: The 13-item youth adaptation of the Self-Regulation Questionnaire is an open-access, non-commercial assessment instrument. It was compiled and published as part of the public research brief “Assessing Self-Regulation: A Guide for Out-of-School Time Program Practitioners” by Child Trends (Research Brief #2010-23), sponsored by public and philanthropic research foundations.

Fees: There are no commercial fees, user royalties, or purchase requirements for educational, academic research, clinical screening, or non-profit community program evaluations. Practitioners and researchers may reproduce and administer the scale freely, provided that proper scholarly attribution is accorded to the original authors (Novak & Clayton, 2001) and the disseminating organization (Child Trends / Bandy & Moore, 2010).

12. References

• Bandura, A. (1991). Social cognitive theory of self-regulation. Organizational Behavior and Human Decision Processes, 50(2), 248–287. https://doi.org/10.1016/0749-5978(91)90022-L
• Bandy, T., & Moore, K. A. (2010). Assessing self-regulation: A guide for out-of-school time program practitioners. Results-to-Research Brief #2010-23. Child Trends. https://www.childtrends.org/publications/assessing-self-regulation-a-guide-for-out-of-school-time-program-practitioners
• Carver, C. S., & Scheier, M. F. (1982). Control theory: A useful conceptual framework for personality–social, clinical, and health psychology. Psychological Bulletin, 92(1), 111–135. https://doi.org/10.1037/0033-2909.92.1.111
• Carver, C. S., & Scheier, M. F. (1998). On the self-regulation of behavior. Cambridge University Press. https://doi.org/10.1017/CBO9781139174794
• Duckworth, A. L., & Seligman, M. E. (2005). Self-discipline outdoes IQ in predicting academic performance of adolescents. Psychological Science, 16(12), 939–944. https://doi.org/10.1111/j.1467-9280.2005.01641.x
• Gross, J. J. (1998). The emerging field of emotion regulation: An integrative review. Review of General Psychology, 2(3), 271–299. https://doi.org/10.1037/1089-2680.2.3.271
• Metcalfe, J., & Mischel, W. (1999). A hot/cool-system analysis of delay of gratification: Dynamics of will power. Psychological Review, 106(1), 3–19. https://doi.org/10.1037/0033-295X.106.1.3
• Novak, S. P., & Clayton, R. R. (2001). The influence of school environment and self-regulation on transitions between stages of cigarette smoking: A multilevel analysis. Health Psychology, 20(3), 196–207. https://doi.org/10.1037/0278-6133.20.3.196
• Zelazo, P. D., & Müller, U. (2002). Executive function in typical and atypical development. In U. Goswami (Ed.), Blackwell handbook of childhood cognitive development (pp. 445–469). Blackwell Publishing. https://doi.org/10.1002/9780470996652.ch20

13. Items of the Scale