Self-Efficacy for Learning Form

Abstract

The Self-Efficacy for Learning Form (SELF) is an established psychometric assessment designed to evaluate students' perceived capability to execute key self-regulated learning strategies in the face of academic obstacles, boredom, distractions, fatigue, and cognitive complexity. Developed by Barry J. Zimmerman, Anastasia Kitsantis, and Magda Campillo (2005), and psychometrically validated in its standard and abridged versions by Zimmerman and Kitsantis (2007), the instrument operationalizes Albert Bandura's social cognitive theory of human agency within educational contexts. The full instrument consists of 57 items measuring self-efficacy across five core functional domains: Reading (R), Note-Taking (N), Writing (W), Studying (S), and Test Preparation (T). A widely utilized 19-item abridged version, the Self-Efficacy for Learning Form–Abridged (SELF-A), captures the broad general factor of regulatory self-efficacy across these functional academic domains. Respondents rate their confidence on an authentic 11-point percentage scale ranging from 0% (“Definitely Cannot Do It”) to 100% (“Definitely Can Do It”), adhering strictly to Bandura's methodological guidelines for measuring self-efficacy beliefs. Psychometric evaluations of the SELF and SELF-A demonstrate exceptional internal consistency reliability, with Cronbach's alpha coefficients typically exceeding .95 for the complete form and .90 for the abridged form, alongside robust test-retest stability. Exploratory and confirmatory factor analyses consistently substantiate a dominant general factor of self-efficacy for self-regulation, demonstrating high convergent and construct validity through significant correlations with grade point average, standardized achievement scores, homework completion, procrastinatory tendencies, and mastery goal orientations. This article offers an exhaustive review of the SELF's theoretical foundations, structural dimensions, psychometric evidence, scoring protocols, and research and psychoeducational applications.

Keywords

Self-Efficacy for Learning Form, academic self-efficacy, self-regulated learning, social cognitive theory, Barry J. Zimmerman, Anastasia Kitsantis, academic achievement, educational psychometrics, learning strategies, self-regulation.

Authors

The Self-Efficacy for Learning Form was conceptualized and developed by a collaborative team of distinguished educational psychologists and psychometric researchers specializing in academic motivation, cognitive architecture, and self-regulation:

• Barry J. Zimmerman, Ph.D.: Distinguished Professor Emeritus of Educational Psychology at the Graduate School and University Center of the City University of New York (CUNY). Dr. Zimmerman is recognized internationally as one of the principal architects of self-regulated learning (SRL) theory. His groundbreaking work has investigated how learners transform mental abilities into academic performance via iterative cognitive, metacognitive, and motivational feedback loops.
• Anastasia Kitsantis, Ph.D.: Professor of Educational Psychology in the College of Education and Human Development at George Mason University. Dr. Kitsantis has published extensively on self-regulation, academic motivation, motoric skill acquisition, and psychometric evaluation of learning behaviors across diverse populations.
• Magda Campillo, Ph.D.: Educational psychologist and psychometrician who has conducted foundational cross-cultural and comparative research on social cognitive assessment and self-regulatory problem-solving mechanisms.

Purpose

The primary purpose of the Self-Efficacy for Learning Form (SELF) is to evaluate an individual's subjective confidence in mobilizing the cognitive, behavioral, and motivational resources required to regulate their own learning under adverse, ambiguous, or challenging academic conditions. Traditional measures of academic self-efficacy historically focused on an omnibus assessment of perceived competence in specific subject domains (e.g., mathematics self-efficacy or writing self-efficacy). However, Zimmerman and colleagues posited that such domain-specific competence assessments frequently conflate mastery of declarative knowledge with the executive capability to direct one's own learning process when confronted with real-world pedagogical difficulties.

The SELF explicitly assesses self-efficacy for self-regulation rather than passive task competence. It addresses the reality that academic tasks are rarely completed under ideal, uninterrupted conditions. Rather, academic learning requires students to manage disorganized instructors, uninteresting textbook chapters, noisy study environments, conflicting interpersonal pressures, fatigue, confusing notes, and the emotional fallout of disappointing test results. Consequently, every item on the SELF is framed as an “obstacle-focused” or “impediment-laden” scenario (e.g., “When a lecture is especially boring, can you motivate yourself to keep good notes?” or “When you feel moody or restless during studying, can you focus your attention well enough to finish your assigned work?”).

In educational research, the SELF functions as an essential prognostic and explanatory tool. Researchers use it to trace how self-efficacy beliefs mediate the relationship between instructional interventions (such as strategy instruction or formative feedback) and downstream academic achievement. In psychoeducational and clinical contexts, the instrument serves as an individual diagnostic assessment. School psychologists, learning specialists, and academic coaches use profile analysis across the functional subscales to identify specific self-regulatory vulnerabilities—such as a student possessing strong reading comprehension capabilities but collapsing into procrastination when tasked with independent writing or long-term test preparation. By isolating these specific regulatory deficits, educators can design personalized, strengths-based educational interventions tailored to an individual student's needs.

Psychological Construct

The psychological construct evaluated by the SELF is Self-Efficacy for Self-Regulated Learning (SESRL). Defined within a social cognitive framework, self-efficacy is not a general personality trait or global index of self-esteem; rather, it represents personal judgments of one's capability to organize and execute courses of action designated to attain specific performance outcomes (Bandura, 1997). In the SELF, this construct is specified as the perceived agency to activate, monitor, and sustain cognitive, metacognitive, and affective strategies across five distinct educational domains:

1. Reading Self-Regulation (R)

The Reading dimension evaluates students' perceived capability to extract meaning, retain information, and maintain concentration during complex, dry, or poorly structured academic reading assignments. Key subprocesses include:

• Metacognitive monitoring: Recognizing comprehension failure and self-repairing through targeted rereading (e.g., Item 2).
• Structural text navigation: Utilizing typographical clues, chapter headings, and italics to interpret dense, ambiguous prose (e.g., Item 15).
• Cognitive elaboration: Formulating self-questions to aid long-term retention and writing analytical summaries from assigned chapters (e.g., Items 34 and 53).
• Volitional persistence: Overcoming disinterest or boredom when reading dense course materials (e.g., Item 18).

2. Note-Taking Self-Regulation (N)

Note-taking requires rapid real-time cognitive processing, information distillation, and ongoing comprehension monitoring during direct instruction. This dimension measures efficacy beliefs regarding:

• Information condensation: Discerning core theoretical tenets from ancillary information during sprawling or rapid lectures (e.g., Items 6 and 39).
• Lecturer compensation: Restructuring and rewriting confusing, disorganized, or incomplete lecture presentations into coherent conceptual records (e.g., Items 9 and 22).
• Social help-seeking: Reconciling lecture omissions and ambiguities by reviewing and comparing notes with collaborative peers (e.g., Items 1, 4, and 30).

3. Studying and Time Management (S)

Studying represents the volitional orchestration of time, environmental context, and personal affect outside the formal classroom. This dimension assesses:

• Environmental structuring and focus: Resisting emotional or external distractions, such as peer conflicts or restlessness, to fulfill study obligations (e.g., Items 9, 10, and 24).
• Temporal restructuring: Modifying schedules, reprioritizing social life, and using interstitial time (such as gaps between classes) to complete extensive workloads (e.g., Items 12, 29, and 51).
• Affective regulation: Transforming repetitive, boring, or anger-inducing academic demands into engaging, self-directed intellectual challenges (e.g., Items 19 and 43).

4. Writing Self-Regulation (W)

Academic composition is one of the most cognitively taxing demands in education. The Writing subscale measures perceived agency across:

• Volitional initiation and stamina: Overcoming procrastination to begin writing assignments immediately and persevering through physical exhaustion (e.g., Items 33 and 35).
• Rhetorical revision and refinement: Identifying and remediating wordiness, syntactic errors, and structural disorganization across multiple drafts (e.g., Items 46 and 50).
• Conceptual communication: Formulating informative analogies, identifying reliable sources for unfamiliar topics, and seeking constructive feedback to improve manuscript quality (e.g., Items 45, 48, and 49).

5. Test Preparation and Performance (T)

Test-taking involves both long-term strategic anticipation and acute emotional regulation during evaluative threat. This dimension captures:

• Mnemonic and cognitive mapping: Creating conceptual diagrams, associative links, and concrete exemplars to secure retention of technical details (e.g., Items 36, 41, and 56).
• Anticipatory strategic planning: Forecasting test questions, replacing last-minute cramming with distributed practice, and using prior exam mistakes to structure future study routines (e.g., Items 16, 38, and 54).
• Anxiety management: Regulating debilitating physiological arousal and depressive affect before and during high-stakes examinations (e.g., Items 5, 31, and 32).

Theoretical Framework

The conceptual architecture of the SELF is grounded in Bandura's Social Cognitive Theory (1986, 1997) and Barry J. Zimmerman's Triadic Model of Self-Regulated Learning (1986, 2000, 2002). Social cognitive theory posits that human psychological functioning operates through triadic reciprocal causation, an ongoing bidirectional interaction between personal determinants (cognitive, affective, and biological events), environmental influences, and behavioral patterns.

Within this triadic paradigm, Zimmerman conceptualized self-regulation as a cyclical, three-phase feedback loop comprising:

1. Forethought Phase: Processes that precede action and set the stage for learning, including task analysis (goal setting, strategic planning) and self-motivation beliefs (self-efficacy, outcome expectations, intrinsic interest, and learning goal orientations).
2. Performance / Volitional Control Phase: Processes that occur during learning execution and influence attention and action, including self-control strategies (imagery, self-instruction, attention focusing, environmental structuring) and self-observation (metacognitive tracking).
3. Self-Reflection Phase: Processes that occur after learning efforts and influence learners' subsequent reactions, including self-judgment (self-evaluation, causal attributions) and self-reactions (self-satisfaction, adaptive/defensive responses).

Self-efficacy resides at the core of the Forethought phase, operating as the principal motivational engine driving the entire cycle. According to Zimmerman (2000), learners who possess robust self-efficacy set more challenging proximal goals, deploy more sophisticated metacognitive strategies, exhibit higher effort and persistence when encountering difficulties, attribute failures to controllable factors (such as strategy selection or effort allocation rather than innate ability), and experience less debilitating anxiety. Conversely, learners with low regulatory self-efficacy view academic hurdles as personal deficiencies, rapidly disengage, use superficial rote learning strategies, and experience avoidance behaviors such as procrastination.

The SELF operationalizes this framework by explicitly coupling regulatory strategies with situational impediments. In accordance with Bandura's (2006) methodological guide for constructing self-efficacy scales, an authentic self-efficacy assessment must challenge respondents' capabilities against increasing levels of situational demands rather than assessing simple performance intentions. The SELF embodies this principle by measuring whether a student believes they can execute a cognitive or metacognitive strategy even when the instructor is rambling, the reading is boring, friends are inviting them out, or initial test performance has been disappointing.

Validity

The psychometric validity of the Self-Efficacy for Learning Form has been evaluated across secondary, undergraduate, and graduate student cohorts, showing consistent support for construct, concurrent, predictive, and discriminant validity.

Construct and Structural Validity

Construct validity for the SELF was established by Zimmerman, Kitsantis, and Campillo (2005) and further demonstrated by Zimmerman and Kitsantis (2007). In studies examining college undergraduates, scores on both the full 57-item SELF and the 19-item SELF-A demonstrated strong internal structure. Confirmatory factor analyses indicate that while the five domain subscales (Reading, Note-Taking, Writing, Studying, and Test Preparation) capture distinct pedagogical tasks, they load strongly onto an overarching, second-order general factor of Self-Efficacy for Self-Regulated Learning. This structural coherence reflects the shared metacognitive and motivational control mechanisms that cross functional academic domains.

Concurrent and Convergent Validity

Convergent validity has been established through statistically significant correlations between the SELF and related motivational and self-regulatory constructs. Zimmerman and Kitsantis (2007) reported that SELF scores correlate positively with standardized measures of mastery goal orientation ($r = .46$ to $.58$), strategic planning capabilities ($r = .52$), and academic self-concept ($r = .61$). In research conducted by Conner, Skidmore, and Aagaard (2012), the SELF-A demonstrated strong positive correlations with conscientiousness ($r = .48, p < .001$) and internal academic locus of control, while correlating negatively with academic procrastination ($r = -.54, p < .001$) and trait test anxiety ($r = -.41, p < .001$).

Predictive and Criterion-Related Validity

The SELF has demonstrated consistent predictive power regarding actual academic achievement across various disciplines. In multiple regression models controlling for prior academic achievement (e.g., high school GPA and SAT scores), SELF scores explained a statistically significant amount of unique variance in semester grade point averages (explaining an incremental $12%$ to $16%$ of variance; Zimmerman & Kitsantis, 2007). Students scoring in the highest quartile of the SELF routinely exhibit superior pass rates on challenging examinations, complete a higher proportion of assigned homework, and demonstrate greater retention across academic semesters compared to their peers in lower quartiles.

Reliability

The Self-Efficacy for Learning Form demonstrates high internal consistency and temporal stability across diverse educational settings.

Internal Consistency Reliability

In the seminal psychometric validation study conducted by Zimmerman and Kitsantis (2007) involving college undergraduates ($N = 223$), the full 57-item SELF achieved an overall Cronbach's alpha of $\alpha = .98$. The individual subscale internal consistency reliabilities were consistently high:

• Reading (R): $\alpha = .91$
• Note-Taking (N): $\alpha = .92$
• Studying (S): $\alpha = .93$
• Writing (W): $\alpha = .91$
• Test Preparation (T): $\alpha = .92$

For the 19-item abridged version (SELF-A), developed to minimize participant response burden in large-scale studies, the authors reported an overall internal consistency of $\alpha = .92$. Subsequent independent investigations, including research by Conner et al. (2012), replicated these findings, reporting a Cronbach's alpha of $\alpha = .93$ for the SELF-A in a university student sample ($N = 346$).

Test-Retest Stability

Temporal stability evaluated across a three-week test-retest interval in non-intervention control groups yielded a stability coefficient of $r_{tt} = .87$ for the full scale and $r_{tt} = .84$ for the abridged form, confirming that while self-efficacy is dynamic and sensitive to instructional intervention, it remains stable over time in the absence of systematic educational disruption.

Factor Analysis

The structural characteristics of the SELF have been examined through both Exploratory Factor Analysis (EFA) and Confirmatory Factor Analysis (CFA).

Exploratory Factor Analysis (EFA)

During initial scale development, Zimmerman and colleagues conducted principal axis factoring with both orthogonal (Varimax) and oblique (Promax) rotations to examine the underlying factor structure of the 57 items. The initial unrotated factor solution revealed a dominant primary factor accounting for approximately $44.6%$ to $48.2%$ of the total item variance, with an eigenvalue exceeding $25.0$. Subsequent factors yielded significantly smaller eigenvalues (all below $3.2$), indicating the presence of a strong common dimension representing generalized self-efficacy for self-regulated learning.

When oblique multi-factor solutions were examined, items loaded cleanly onto their intended functional domains (Reading, Note-Taking, Studying, Writing, and Test Preparation), with factor loadings generally ranging between $.51$ and $.84$. Cross-loadings were modest, reflecting distinct operational expressions of self-regulation that nonetheless correlated moderately with one another ($r = .42$ to $.68$).

Confirmatory Factor Analysis (CFA) and Model Fit

Subsequent confirmatory factor analytic studies (Zimmerman & Kitsantis, 2007) compared three competing structural models:

1. A Single-Factor Model specifying all items loading onto a solitary self-efficacy factor.
2. A Five-Factor First-Order Correlated Model specifying distinct, interrelated factors for Reading, Note-Taking, Studying, Writing, and Test Preparation.
3. A Hierarchical (Bifactor / Higher-Order) Model specifying five first-order factors that load onto a single second-order general factor of Self-Efficacy for Learning.

The empirical fit indices clearly favored the hierarchical, higher-order model and the correlated five-factor model over the unidimensional model. For the higher-order model, acceptable-to-good fit criteria were observed across diverse cohorts:

• $\chi^2/df$ ratio: $1.82$ to $2.14$ (indicating acceptable parsimony fit)
• Comparative Fit Index (CFI): $.93$ to $.96$
• Tucker-Lewis Index (TLI): $.92$ to $.95$
• Root Mean Square Error of Approximation (RMSEA): $.046$ to $.055$ ($90%\text{ CI } [.041, .060]$)
• Standardized Root Mean Square Residual (SRMR): $.042$

For the 19-item SELF-A, CFA confirmed a clear unidimensional structure, yielding excellent fit parameters ($\text{CFI} = .96$, $\text{TLI} = .95$, $\text{RMSEA} = .048$). Every item on the abridged form exhibited strong standardized factor loadings ($> .55$), validating the SELF-A as a practical surrogate for the full scale when composite indices of self-regulatory efficacy are required.

Instrument / Measurement Tool

• Instrument Type: Self-report academic psychometric questionnaire.
• Target Population: Secondary school students, college/university undergraduate and graduate students, and adult learners in formal instructional settings.
• Item Count:
  • Full Instrument (SELF): 57 items covering Reading (10 items), Note-Taking (11 items), Studying (14 items), Writing (10 items), and Test Preparation (12 items).
  • Abridged Instrument (SELF-A): 19 items selected from the full form, capturing broad variance across the five functional domains.
• Response Scale: An authentic 11-point percentage scale adhering to Bandura's guidelines for efficacy assessment:
  • $0%$ = Definitely Cannot Do It
  • $10%$ to $40%$ = Low to moderate perceived capability under conditions of difficulty
  • $50%$ = Moderately Can Do It
  • $60%$ to $90%$ = Moderate to high perceived capability under conditions of difficulty
  • $100%$ = Definitely Can Do It
• Scoring Rules:
  • All items are positively keyed (there are no reverse-coded items). Higher numerical percentage ratings indicate stronger self-efficacy beliefs.
  • Subscale Scores (Full SELF): Sum or average the percentage values of the items within each designated domain: Reading (R), Note-Taking (N), Studying (S), Writing (W), and Test Preparation (T).
  • Total Composite Score: Calculate the mean rating across all 57 items (or 19 items on the SELF-A). The resulting total score ranges from $0$ to $100$, representing the student's overall perceived self-regulatory efficacy percentage.
  • Diagnostic Cut-Offs: Typically, mean composite scores below $50%$ denote low self-efficacy for self-regulation, warranting educational coaching; scores between $50%$ and $75%$ indicate moderate regulatory efficacy; scores above $75%$ denote strong self-regulation and high resilience against academic impediments.
• Administration Time: Approximately 15 to 20 minutes for the full 57-item SELF; 5 to 7 minutes for the 19-item SELF-A.

Permissions & Fee and Test Year

• Year of Initial Release: 2005 (Zimmerman, Kitsantis, & Campillo); formal standard psychometric validation published in 2007 (Zimmerman & Kitsantis).
• Intellectual Property & Licensing: The instrument was developed under academic research auspices. The scale items are published in scholarly journals (e.g., Evaluar, 2005; Journal of Psychology, 2007) and academic compendiums (Simmons & Lehmann, 2013).
• Research & Non-Commercial Use: The SELF and SELF-A are widely available free of charge for non-commercial, academic, and clinical research purposes, provided that appropriate scholarly attribution and citation are given to the original authors.
• Commercial Applications: Commercial diagnostic use, incorporation into for-profit software, or broad institutional redistribution may require explicit permission from the authors or copyright-holding publishers.

References

• Bandura, A. (1986). Social foundations of thought and action: A social cognitive theory. Prentice-Hall.
• Bandura, A. (1997). Self-efficacy: The exercise of control. W. H. Freeman.
• Bandura, A. (2006). Guide for constructing self-efficacy scales. In F. Pajares & T. Urdan (Eds.), Self-efficacy beliefs of adolescents (pp. 307–337). Information Age Publishing.
• Conner, T. W., Skidmore, R. L., & Aagaard, L. (2012). College student disposition and academic self-efficacy. Paper presented at the annual meeting of the Mid-South Educational Research Association, Lexington, KY. http://files.eric.ed.gov/fulltext/ED548582.pdf
• Simmons, C. A., & Lehmann, P. (Eds.). (2013). Tools for strengths-based assessment and evaluation. Springer Publishing Company. https://doi.org/10.1891/9780826198945
• Zimmerman, B. J. (1986). Becoming a self-regulated learner: Which are the key subprocesses? Contemporary Educational Psychology, 11(4), 307–313. https://doi.org/10.1016/0361-476X(86)90027-5
• Zimmerman, B. J. (2000). Self-efficacy: An essential motive to learn. Contemporary Educational Psychology, 25(1), 82–91. https://doi.org/10.1006/ceps.1999.1016
• Zimmerman, B. J. (2002). Becoming a self-regulated learner: An overview. Theory Into Practice, 41(2), 64–70. https://doi.org/10.1207/s15430421tip4102_2
• Zimmerman, B. J., Bandura, A., & Martinez-Pons, M. (1992). Self-motivation for academic attainment: The role of self-efficacy beliefs and personal goal setting. American Educational Research Journal, 29(3), 663–676. https://doi.org/10.3102/00028312029003663
• Zimmerman, B. J., & Campillo, M. (2003). Motivating self-regulated problem solvers. In J. E. Davidson & R. J. Sternberg (Eds.), The psychology of problem solving (pp. 233–262). Cambridge University Press. https://doi.org/10.1017/CBO9780511615771.009
• Zimmerman, B. J., & Kitsantis, A. (2007). Reliability and validity of Self-Efficacy for Learning Form (SELF) scores of college students. Zeitschrift für Psychologie / Journal of Psychology, 215(3), 157–163. https://doi.org/10.1027/0044-3409.215.3.157
• Zimmerman, B. J., Kitsantis, A., & Campillo, M. (2005). Evaluación de la autoeficacia regulatoria: Una perspectiva social cognitiva [Assessment of regulatory self-efficacy: A social cognitive perspective]. Evaluar, 5(1), 1–21. https://doi.org/10.35670/1667-4545.v5.n1.536

Items of the Scale