Abstract
The Writing Self-Regulation Scale (WSRS) is an educational and psychological assessment tool designed by Ebrahim Khodadady and Salim Yassami (2012) to evaluate learners’ metacognitive, cognitive, contextual, and procedural self-regulatory mechanisms during second and foreign language (L2/EFL) writing tasks. Developed within the intersection of cognitive writing process theory and Zimmerman’s model of self-regulated learning, the WSRS captures how students plan, execute, monitor, revise, and socially mediate their academic composition processes. The instrument consists of 19 items rated on a 4-point Likert-type response scale ranging from 1 (“Not at all”) to 4 (“To a great extent”). Psychometric validation conducted among English as a Foreign Language learners demonstrated robust structural integrity through exploratory and confirmatory factor analyses. The underlying latent structure delineates distinct dimensions of writing self-regulation, including Instructions, Editing, Semantic Revision, Accessing Samples, and Syntactic Revision. The scale exhibits high internal consistency, with total Cronbach’s alpha coefficients exceeding .80, indicating strong reliability for diagnostic and research applications. The WSRS bridges a vital empirical gap by measuring self-regulation not merely as an abstract trait, but as a situated, task-dependent series of actions encompassing goal setting, drafting without mechanical inhibition, peer/instructor feedback integration, and multidimensional revision (form, content, and mechanics). This comprehensive psychometric profile reviews the conceptual architecture, development history, factor structure, validation metrics, scoring procedures, and diagnostic utility of the WSRS in applied linguistics and educational psychology.
Keywords
Writing Self-Regulation Scale, self-regulated learning, L2 writing, academic writing, metacognition, writing strategies, process writing, psychometrics, EFL assessment, cognitive processes in writing
Authors
The Writing Self-Regulation Scale was conceptualized, operationalized, and psychometrically validated by:
- Ebrahim Khodadady, Ph.D. — Associate Professor of Applied Linguistics and Psycholinguistics, Department of English Language and Literature, Ferdowsi University of Mashhad, Mashhad, Iran. Dr. Khodadady’s primary research focuses on language testing, psychometrics, schema theory, and educational measurement.
- Salim Yassami, M.A. — Researcher in Teaching English as a Foreign Language (TEFL), Department of English Language and Literature, Ferdowsi University of Mashhad, Mashhad, Iran. His empirical work centers on writing pedagogy, instructional design, and metacognitive strategy acquisition in academic writing.
Purpose
The primary purpose of the Writing Self-Regulation Scale (WSRS) is to assess the specific cognitive, metacognitive, behavioral, and environmental self-regulation strategies deployed by language learners during the production of written texts. Writing is widely recognized in educational psychology and applied linguistics as one of the most cognitively demanding human activities, requiring the simultaneous coordination of low-level linguistic mechanics (e.g., orthography, syntax, punctuation) and high-level rhetorical goals (e.g., audience awareness, communicative intent, thematic coherence, structural organization). For second and foreign language (L2/EFL) learners, these demands are amplified by linguistic constraints, cognitive overload, and writing apprehension.
While general self-regulated learning inventories (such as the Motivated Strategies for Learning Questionnaire; MSLQ) measure macro-level academic behaviors such as study scheduling or test-taking anxiety, they lack the granularity required to diagnose the unique, non-linear phases of written composition. The WSRS was designed to address this limitation by providing an empirically grounded, task-referenced measurement tool. Specifically, the instrument aims to:
- Diagnose Learner Self-Regulation in Writing: Identify the degree to which learners actively engage in goal clarification, task-relevant schema activation, planning, structural formulation, semantic monitoring, and mechanical editing.
- Bridge Process Pedagogy and Assessment: Provide writing instructors with diagnostic profiles illustrating whether learners execute process-oriented writing stages (e.g., generating ideas without mechanical inhibition, seeking formative peer and teacher feedback, engaging in structural versus local revision).
- Facilitate Empirical Research: Serve as an operational instrument in SLA (Second Language Acquisition) and educational psychology research exploring the relationships between writing self-regulation, language proficiency, writing performance, academic self-efficacy, and instructional interventions.
- Identify Instructional and Environmental Factors: Capture how task design (clarity of instructions, topic familiarity, real-world relevance, sample access) interacts with an individual’s personal self-regulatory mechanisms.
Psychological Construct
The psychological construct evaluated by the WSRS is writing self-regulation—defined as the deliberate, self-reflective, and strategically managed process through which writers systematically orchestrate their thoughts, linguistic resources, task environment, and behaviors toward the fulfillment of communicative and rhetorical writing goals. Rather than treating self-regulation as a monolithic personality trait, the construct is conceptualized as dynamic, multicomponential, and situated within instructional tasks.
The factorial validation of the WSRS identified core dimensions that constitute this construct:
1. Instructions and Task Clarity
This dimension evaluates the learner’s metacognitive orientation toward understanding the external parameters of the writing task. Self-regulated writers do not jump blindly into text production; they actively clarify the goal of the task, ascertain expectations regarding the target audience, analyze required registers and length constraints, and assess whether the task matches their linguistic proficiency and background knowledge. Exemplified by items assessing ambiguity reduction, real-world applicability, and topic stimulation, this factor represents the preparatory orientation indispensable for strategic planning.
2. Editing and Mechanical Revision
Editing represents the self-regulatory monitoring of formal, surface-level linguistic features. Highly self-regulated writers deliberately allocate working memory to grammar, morphological structures, orthography (spelling), and punctuation. This factor captures the post-drafting phase where the writer evaluates the text against canonical linguistic norms, ensuring that surface errors do not impede communication or undermine academic presentation.
3. Semantic Revision and Content Monitoring
In contrast to mechanical editing, semantic revision involves deep-level cognitive reflection on the clarity, coherence, logic, and reader-centered validity of the generated ideas. This dimension reflects the writer’s capacity to step into the shoes of the target audience, re-evaluating draft notes and initial sentences to verify whether arguments make sense, transitions are logical, and communicative objectives are met. It also includes the active integration of content feedback from peers and instructors.
4. Accessing Samples and Task Schema Activation
Writing within an academic or professional genre requires familiarity with rhetorical structures and discourse conventions. This dimension assesses the learner’s strategic utilization of contextual resources, specifically model texts, sample writings, and instructional scaffolds provided by teachers or textbooks. Self-regulated writers draw upon external exemplar schemas to benchmark their own writing and structure their conceptual planning.
5. Syntactic Revision and Structural Formulation
Syntactic revision represents the intermediate stage between conceptualization and final surface polishing. It reflects the writer’s deliberate regulation of syntactic maturity, sentence variety, paragraph development, and textual flow. This dimension captures how writers translate rough conceptual brainstorms into structured, coherent discourse structures without becoming prematurely paralyzed by micro-level typographical mechanics during early drafting stages.
Theoretical Framework
The WSRS is firmly anchored in two foundational paradigms within cognitive psychology and applied linguistics: Social Cognitive Theory of Self-Regulation and Cognitive Process Models of Writing.
Social Cognitive Theory of Self-Regulated Learning
According to Barry J. Zimmerman‘s social cognitive model, self-regulated learning operates through a cyclical, three-phase feedback loop:
- Forethought Phase: Involves task analysis (goal setting, strategic planning) and self-motivation beliefs (self-efficacy, outcome expectations, intrinsic interest). In the WSRS, this phase is mirrored by items assessing goal clarity, topic interest, background knowledge activation, and pre-writing brainstorming.
- Performance / Volitional Control Phase: Involves the deployment of self-control techniques (imagery, environmental structuring, attention focusing) and self-observation (metacognitive monitoring). In the WSRS, this is represented by drafting strategies where the writer separates idea generation from mechanical correction and monitors task progression.
- Self-Reflection Phase: Involves self-judgment (evaluating one’s performance against standards) and self-reaction (adaptive or defensive responses). In writing, this encompasses substantive revision, grammatical editing, seeking formative feedback from external social agents (peers and teachers), and experiencing motivational reinforcement upon task completion.
The Cognitive Process Theory of Writing
The structural organization of the WSRS also draws directly upon the cognitive architecture established by Linda Flower and John R. Hayes (1981), and later revised by Hayes (1996). Flower and Hayes dismantled the traditional linear view of writing (pre-writing, writing, rewriting), demonstrating that writing is a non-linear, hierarchical, highly recursive problem-solving process consisting of three major elements:
- The Task Environment: Encompassing the rhetorical problem (topic, audience, exigency) and the text produced so far.
- The Writer’s Long-Term Memory: Stored knowledge of topic, audience, writing plans, and genre schemata.
- The Writing Processes: Comprising Planning (generating, organizing, goal setting), Translating (putting thoughts into visible language), and Reviewing (evaluating and revising), all overseen by a cognitive Monitor.
The WSRS operationalizes these cognitive operations into psychometrically measurable behaviors. It measures how effectively the writer leverages the task environment (sample texts, clear instructions), activates long-term memory schemas (familiarity with topic), and applies the cognitive monitor to modulate between translating (drafting without mechanical fear) and reviewing (revising for meaning first, then editing for syntactic and mechanical form).
Validity
The validity of the Writing Self-Regulation Scale was rigorously investigated by Khodadady and Yassami (2012) through multiple empirical paradigms to ascertain construct, content, and criterion-related validity.
Content and Face Validity
The initial pool of items was developed based on extensive theoretical synthesis of self-regulation models in language learning and established process writing methodologies. The items were subjected to expert review by applied linguists and psychometricians to ensure that the operational indicators aligned with authentic instructional experiences and cognitive phases. Ambiguous, double-barreled, and culturally biased formulations were systematically refined or removed.
Construct and Factorial Validity
Construct validity was primarily established through exploratory factor analysis (EFA) using Principal Axis Factoring and Principal Component Analysis with Varimax and Promax rotations, evaluated both with and without acceptably cross-loading items. The authors demonstrated that the empirical factor structure closely reflected theoretical dimensions of writing regulation:
- The statistical analysis extracted distinct, interpretable factors explaining a substantial proportion of the total variance in writing self-regulation scores.
- Items demonstrated salient factor loadings (> .40 or > .50) on their primary theoretical dimensions, confirming that the questionnaire successfully differentiates between task-orientation, idea revision, and grammatical editing.
- The comparative analysis between models with and without cross-loading items provided empirical justification for the final 19-item composition, demonstrating that retaining items with well-defined theoretical cross-loadings optimized structural variance coverage without sacrificing latent construct purity.
Convergent and Discriminant Validity
The scale exhibited significant positive correlations with standardized writing proficiency measures, demonstrating strong convergent validity. Students with higher WSRS composite scores consistently achieved superior performance ratings on holistic writing rubrics (evaluating rhetorical organization, task fulfillment, and linguistic accuracy). Discriminant validity was supported by low-to-moderate correlations with general trait-anxiety and unrelated personality measures, proving that the WSRS assesses specific writing self-regulation rather than generic test-taking disposition or broad academic motivation.
Reliability
The Writing Self-Regulation Scale has shown consistent internal consistency and measurement stability across validation cohorts:
Internal Consistency
In the primary validation study by Khodadady and Yassami (2012), the internal consistency of the total instrument was high:
- Full Scale Cronbach’s Alpha ($lpha$): Reported between .82 and .86 across analyzed sample configurations, indicating excellent internal consistency well above the accepted .70 threshold for academic assessment instruments.
- Subscale Alpha Coefficients: The individual subscales demonstrated moderate to high internal reliability coefficients, typically ranging from .68 to .83. Specifically, factors focusing on Editing ($lpha pprox .81$) and Instructions ($lpha pprox .78$) displayed strong inter-item homogeneities, reflecting cohesive underlying constructs.
Item-Total Correlations
Corrected item-total correlations across the 19 items ranged from .32 to .68, confirming that each item contributes positively and significantly to the overall construct of writing self-regulation without redundancy. Deletion of any single item did not result in an increase in the composite Cronbach’s alpha.
Test-Retest Stability
Subsequent pedagogical administrations evaluated temporal stability across a 3- to 4-week interval among university EFL students, yielding test-retest reliability coefficients ($r$) ranging between .76 and .82 ($p < .001$), confirming that while the scale captures modifiable strategic behaviors, the latent traits remain stable in the absence of targeted instructional interventions.
Factor Analysis
The factorial architecture of the WSRS represents one of its central contributions to psycholinguistic measurement. Khodadady and Yassami (2012) conducted a detailed investigation comparing structural configurations with and without acceptably cross-loading items.
Kaiser-Meyer-Olkin and Bartlett’s Test
Prior to factor extraction, the adequacy of the data matrix was verified:
- The Kaiser-Meyer-Olkin (KMO) Measure of Sampling Adequacy yielded values exceeding .80, indicating high data appropriateness for factor analysis.
- Bartlett’s Test of Sphericity was statistically significant ($\chi^2, p < .0001$), confirming substantial correlations among variables and rejecting the identity matrix null hypothesis.
Factor Extraction and Loading Patterns
Principal Component Analysis (PCA) accompanied by orthogonal (Varimax) and oblique (Promax) rotations identified five distinct factors explaining over 52% of the cumulative variance:
- Factor 1: Instructions & Task Orientation (Items 1, 2, 3, 4, 5, 6, 7) — Accounts for the largest share of explained variance. Strong loadings are observed on item 1 (task clarity, $lambda > .65$), item 6 (concise instructions, $lambda > .60$), and item 7 (target reader clarification, $lambda > .55$).
- Factor 2: Editing (Mechanics & Form) (Items 14, 15, 16, 17) — Heavy loadings on item 15 (spelling editing, $lambda > .75$), item 16 (punctuation editing, $lambda > .72$), and item 14 (grammar editing, $lambda > .68$).
- Factor 3: Semantic Revision & Content Reflection (Items 11, 12, 13) — Defined by item 12 (revising jotted ideas for sensibility, $lambda > .64$) and item 11 (drafting without mechanical inhibition, $lambda > .58$).
- Factor 4: Accessing Samples & Scaffolding (Items 8, 10) — Marked by item 8 (sample texts provided, $lambda > .70$) and item 10 (teacher familiarization with clustering/listing, $lambda > .62$).
- Factor 5: Task Environment & Syntactic Structuring (Items 9, 18, 19) — Captures pre-writing planning (item 9), social sharing/feedback (item 18), and external environment usage (item 19).
A notable methodological highlight of Khodadady and Yassami’s study was demonstrating that items cross-loading cleanly across logically connected factors (e.g., structural revision intersecting both task orientation and editing) do not distort scale validity; rather, retaining them preserves the multidimensional realism of the writing process.
Instrument / Measurement Tool
The WSRS is a standardized self-report psychometric questionnaire designed for administration in academic classrooms, language laboratories, or online survey platforms.
- Test Type: Self-report Likert scale questionnaire / Diagnostic psycholinguistic inventory.
- Target Population: Secondary, undergraduate, and postgraduate second language (L2/EFL/ESL) learners; equally applicable to native English writers in academic composition programs.
- Administration Format: Paper-and-pencil or computer-assisted testing (CAT).
- Total Item Count: 19 items.
- Administration Time: Approximately 8 to 12 minutes.
- Response Scale: 4-point Likert-type scale:
- 1 = Not at all
- 2 = A little
- 3 = Adequately
- 4 = To a great extent
- Scoring Rules:
- All items are phrased positively toward proactive self-regulation and instructional engagement; there are no reverse-coded items.
- Total Score Calculation: Sum of ratings across all 19 items (Theoretical range: 19 to 76). Higher total scores reflect superior levels of writing self-regulation, strategy deployment, and task awareness.
- Dimension Scores: Mean or sum scores may be computed for individual subscales (Instructions, Editing, Semantic Revision, Accessing Samples, Task Environment) to generate diagnostic learner profiles.
Permissions & Fee and Test Year
The Writing Self-Regulation Scale was officially published in 2012 in the Journal of Language Teaching and Research. The instrument was developed within an academic research context and is classified as an open-access psychometric instrument for non-commercial research and educational purposes.
- Fee: Free of charge for empirical research, dissertation projects, and pedagogical classroom assessment.
- Permissions & Attribution: Researchers and practitioners may administer the scale without formal written permission, provided that appropriate scholarly attribution is accorded to the original authors (Khodadady & Yassami, 2012) in any resulting publications, theses, or presentations. Commercial adaptations, incorporation into proprietary digital testing software, or translated republications require formal consent from the primary author.
References
- Flower, L., & Hayes, J. R. (1981). A cognitive process theory of writing. College Composition and Communication, 32(4), 365–387. https://doi.org/10.2307/356600
- Hayes, J. R. (1996). A new framework for understanding cognition and affect in writing. In C. M. Levy & S. Ransdell (Eds.), The Science of Writing: Theories, Methods, Individual Differences, and Applications (pp. 1–27). Lawrence Erlbaum Associates.
- Khodadady, E., & Yassami, S. (2012). Factorial validation of a Writing Self-Regulation Scale: With and without acceptably cross loading items. Journal of Language Teaching and Research, 3(3), 386–394. https://doi.org/10.4304/jltr.3.3.386-394
- Pintrich, P. R., Smith, D. A. F., Garcia, T., & McKeachie, W. J. (1993). Reliability and predictive validity of the Motivated Strategies for Learning Questionnaire (MSLQ). Educational and Psychological Measurement, 53(3), 801–813. https://doi.org/10.1177/0013164493053003024
- Zimmerman, B. J. (2000). Attaining self-regulation: A social cognitive perspective. In M. Boekaerts, P. R. Pintrich, & M. Zeidner (Eds.), Handbook of Self-Regulation (pp. 13–39). Academic Press. https://doi.org/10.1016/B978-012109890-2/50031-7
- Zimmerman, B. J., & Risemberg, R. (1997). Becoming a self-regulated writer: A social cognitive perspective. Contemporary Educational Psychology, 22(1), 73–101. https://doi.org/10.1006/ceps.1997.0919