The Student Approaches to Learning Scale<\/strong>, operationally known in psychometric literature as the Revised Two-Factor Study Process Questionnaire (R-SPQ-2F)<\/strong>, is one of the most widely deployed self-report instruments designed to evaluate university students’ orientations toward academic study. Developed by John B. Biggs<\/a>, David Kember, and Doris Y. P. Leung in 2001, the instrument represents an empirically refined, psychometrically streamlined revision of Biggs’s original 42-item Study Process Questionnaire (SPQ) published in 1987. Grounded in the phenomenographic<\/a> tradition of student learning research and Biggs’s overarching Presage-Process-Product (3P) Model<\/em> of teaching and learning, the R-SPQ-2F condenses the measurement of learning processes into two overarching dimensions: the Deep Approach (DA)<\/strong> and the Surface Approach (SA)<\/strong>.<\/p>\n Comprising 20 items answered on an authentic 5-point Likert scale (ranging from 1 = this item is only rarely true of me<\/em> to 5 = this item is always or almost always true of me<\/em>), the instrument is structured hierarchically. The two main scales are each composed of two 5-item subscales: Deep Motive (DM)<\/strong> and Deep Strategy (DS)<\/strong> for the Deep Approach, and Surface Motive (SM)<\/strong> and Surface Strategy (SS)<\/strong> for the Surface Approach. Over two decades of rigorous international validation across undergraduate, postgraduate, and professional cohorts (such as medicine, engineering, and social sciences) have demonstrated that the R-SPQ-2F exhibits acceptable to excellent internal consistency (Cronbach’s alpha values typically ranging between .72 and .84 for the main scales), robust construct validity confirmed via confirmatory factor analysis (CFA), and compelling predictive validity regarding qualitative academic performance and conceptual understanding<\/span>.<\/p>\n Student Approaches to Learning, R-SPQ-2F, Study Process Questionnaire, Deep Approach, Surface Approach, John Biggs, 3P Model of Teaching and Learning, Higher Education Psychometrics, Constructive Alignment, Educational Assessment<\/p>\n The Revised Two-Factor Study Process Questionnaire was developed and validated collaboratively by three prominent educational researchers based in Hong Kong:<\/p>\n The primary purpose of the R-SPQ-2F is to provide higher education researchers, faculty developers, institutional researchers, and classroom instructors with a parsimonious, theoretically grounded, and psychometrically robust instrument to assess how students interact with their learning tasks. In the late 20th century, the original 1987 SPQ contained 42 items measuring three separate approaches: Deep, Surface, and Achieving, each dissected into motive and strategy components. Over years of empirical utilization, however, researchers identified severe psychometric limitations in the 1987 instrument: the Achieving scale frequently cross-loaded or failed to emerge as an independent latent factor, and its overall length made it cumbersome for contemporary university research and practical classroom diagnostic routines.<\/p>\n Biggs, Kember, and Leung (2001) redesigned the scale to serve two critical purposes:<\/p>\n Importantly, the R-SPQ-2F was never designed as an immutable diagnostic test of intellectual ability or an unalterable personality inventory. Rather, it conceptualizes a student’s approach to learning as a dynamic, relational response to the contextual demands of the teaching-learning environment. Consequently, its major research applications include comparative educational research, pre-test\/post-test pedagogical intervention studies, the evaluation of blended and flipped classrooms, and large-scale quality assurance reviews across global university contexts.<\/p>\n The Student Approaches to Learning (SAL)<\/strong> framework represents a foundational paradigm within educational psychology. Unlike trait-based theories of intelligence or cognitive styles (e.g., field dependence-independence), SAL posits that learning approaches reflect the dynamic interaction between the student’s personal characteristics (intentions, previous knowledge, intrinsic values) and the immediate educational context (assessment designs, teaching styles, curriculum freedom).<\/p>\n A Deep Approach to learning is characterized by an intrinsic drive to understand the underlying principles, theoretical frameworks, and broader meanings of academic content. When adopting a deep approach, students do not view educational tasks as external hurdles to be cleared with minimal effort, but rather as opportunities for intellectual engagement and cognitive mastery. The Deep Approach comprises two interrelated psychological facets:<\/p>\n Conversely, a Surface Approach to learning is governed by extrinsic pragmatism, anxiety regarding academic failure, and an imperative to satisfy assessment criteria with minimal expenditure of cognitive effort. The student perceives the academic task as an imposed, external demand that must be managed mechanically. The Surface Approach is subdivided into two operational components:<\/p>\n The R-SPQ-2F is rooted in the phenomenographic investigations conducted in Sweden during the mid-1970s by Ference Marton<\/a> and Roger S\u00e4lj\u00f6 (1976), who famously demonstrated that when university students read identical academic texts, their qualitative understandings diverged radically based on their processing orientation. Those adopting a deep approach focused on the author’s primary intention, thematic structure, and underlying logic, whereas those adopting a surface approach focused on isolated words, factual data, and anticipated test questions. This empirical dichotomy was subsequently expanded across higher education institutions in the United Kingdom by Noel Entwistle and Paul Ramsden through the Lancaster Approaches to Studying inventories (such as the Approaches and Study Skills Inventory for Students, or ASSIST).<\/p>\n Biggs contextualized these phenomenographic insights into a holistic systems model of student learning consisting of three interdependent chronological stages:<\/p>\n A crucial theoretical principle underpinning the 3P model is Constructive Alignment<\/em>. Biggs argued that in an optimally designed educational ecosystem, the institutional intended learning outcomes, the teaching\/learning activities, and the assessment tasks are systematically aligned. When assessments reward high-order cognitive processes (synthesis, evaluation, problem-solving), students are structurally encouraged to adopt Deep Approaches. Conversely, when examinations reward unreflective factual recall or impose unreasonable workload demands, the institutional context systematically forces even intellectually capable students to retreat into Surface Approaches.<\/p>\n The psychometric validity of the R-SPQ-2F has been confirmed through numerous empirical investigations spanning diverse geographic, cultural, and disciplinary landscapes.<\/p>\n In the seminal validation study by Biggs, Kember, and Leung (2001), administered to an initial cohort of 229 undergraduate students and cross-validated on a comprehensive secondary cohort of 495 students across health sciences, business, and humanities faculties at a Hong Kong university, Confirmatory Factor Analysis (CFA)<\/a> demonstrated that the revised two-factor hierarchical model possessed superior structural fit compared to alternative 1987 models. The root mean square error of approximation (RMSEA) was .055, and the Comparative Fit Index (CFI) reached .920, confirming that the hypothesized latent architecture reliably mirrors empirical student response patterns.<\/p>\n Extensive cross-validation has verified the convergent validity of the R-SPQ-2F against parallel psychoeducational instruments:<\/p>\n The R-SPQ-2F demonstrates robust predictive validity across academic disciplines. Empirical studies consistently demonstrate that Deep Approach scores are positively correlated with higher academic achievement, higher grade point averages (GPA), superior performance on clinical reasoning examinations in medical education, and complex conceptual performance mapped via the SOLO taxonomy. In contrast, elevated Surface Approach scores consistently correlate with higher examination anxiety, test attrition, lower GPA, and a tendency toward superficial cognitive closure.<\/p>\n The reliability of the R-SPQ-2F has been rigorously demonstrated through internal consistency and temporal stability metrics across numerous cross-cultural populations.<\/p>\n In the seminal publication by Biggs, Kember, and Leung (2001), the Cronbach’s alpha<\/a> internal consistency coefficients for the primary scales were as follows:<\/p>\n At the 5-item subscale level, the original authors reported: Deep Motive (α = .62), Deep Strategy (α = .63), Surface Motive (α = .72), and Surface Strategy (α = .57). While the subscale alpha values are modest\u2014an inherent psychometric artifact of brief 5-item scales capturing multidimensional behavioral manifestations\u2014the aggregated 10-item composite dimensions exhibit robust reliability<\/span>.<\/p>\n Subsequent international validation studies have frequently reported even higher internal consistency values. For example, in an extensive European study involving 1,142 university students across the Netherlands and Belgium (Stes et al., 2013), the Deep Approach yielded an alpha of .82, and the Surface Approach yielded an alpha of .78. Validations in Spain (Justicia et al., 2008), the United Kingdom (Phan & Deo, 2007), and Latin America (Freiberg Hoffmann et al., 2017) have similarly documented composite reliability (Raykov’s rho) and Cronbach’s alpha values consistently meeting or exceeding the .75 threshold.<\/p>\n Evaluating the temporal stability of the R-SPQ-2F requires careful conceptual distinction between an immutable personality trait and a dynamic learning orientation. Because approaches to learning are inherently context-sensitive, stability coefficients are expected to be moderate over prolonged educational transitions. Over short intervals (2 to 4 weeks under identical course conditions), test-retest reliability coefficients range between r<\/em> = .79 and .85. Over long-term academic terms (6 to 12 months), stability coefficients attenuate to r<\/em> = .45 to .60, reflecting meaningful, measurable shifts in student learning orientations in response to varying assessment tasks, grading criteria, and pedagogical styles<\/span>.<\/p>\n The empirical foundation of the R-SPQ-2F relies on structural equation modeling (SEM) and confirmatory factor analysis (CFA) designed to resolve historical discrepancies present in Biggs’s 1987 42-item model.<\/p>\n Biggs, Kember, and Leung (2001) evaluated four competing structural models via maximum likelihood estimation to determine the most parsimonious and psychometrically sound representation of the 20 items:<\/p>\n The factor loadings for the items onto their respective subscales in the second-order model were consistently robust, with standardized coefficients typically ranging from .45 to .75. Standardized loadings of the first-order factors onto the second-order approaches were exceptionally high:<\/p>\n This hierarchical factorial validity confirms that while researchers may meaningfully report the four subscale scores for granular diagnostic analysis, collapsing the instrument into the two overarching main scales (Deep Approach and Surface Approach) is psychometrically justified and theoretically optimal.<\/p>\n The Revised Two-Factor Study Process Questionnaire is structured as follows:<\/p>\n The R-SPQ-2F was published in 2001<\/strong> in the British Journal of Educational Psychology<\/em>. In accordance with the explicit intentions of the authors (Biggs, Kember, & Leung, 2001), the instrument was published directly in the academic literature to facilitate widespread, non-commercial educational research, teaching evaluation, and faculty development. It is considered an open-access psychometric instrument for non-commercial academic purposes.<\/p>\n Researchers and higher education institutions are permitted to utilize, translate, and reproduce the 20-item scale for scholarly investigations without purchasing commercial licenses or paying royalty fees, provided that formal academic attribution is given to John Biggs, David Kember, and Doris Y. P. Leung. Any commercial repackaging or integration into proprietary, fee-based assessment software typically requires formal permission from the copyright holder (The British Psychological Society<\/a> \/ John Wiley & Sons, Ltd.).<\/p>\n Biggs, J. (1987). Student approaches to learning and studying<\/em>. Australian Council for Educational Research. https:\/\/eric.ed.gov\/?id=ED308201<\/a><\/span><\/p>\n Biggs, J. (1996). Enhancing teaching through constructive alignment. Higher Education<\/em>, 32(3), 347\u2013364. https:\/\/doi.org\/10.1007\/BF00138871<\/a><\/p>\n Biggs, J. (1999). Teaching for quality learning at university: What the student does<\/em>. Society for Research into Higher Education & Open University Press.<\/p>\n Biggs, J., Kember, D., & Leung, D. Y. P. (2001). The revised two-factor Study Process Questionnaire: R-SPQ-2F. British Journal of Educational Psychology<\/em>, 71(1), 133\u2013149. https:\/\/doi.org\/10.1348\/000709901158433<\/a><\/p>\n Entwistle, N., & Ramsden, P. (1983). Understanding student learning<\/em>. Croom Helm.<\/p>\n Freiberg Hoffmann, A., Stover, J. B., de la Iglesia, G., & Fern\u00e1ndez Liporace, M. (2017). Validation of the Revised Two-Factor Study Process Questionnaire (R-SPQ-2F) in Argentinean university students. Revista de Psicodid\u00e1ctica<\/em>, 22(1), 38\u201344. https:\/\/doi.org\/10.1016\/S1136-1034(17)30043-4<\/a><\/p>\n Justicia, F., Pichardo, M. C., Cano, F., Berb\u00e9n, A. B. G., & de la Fuente, J. (2008). The Revised Two-Factor Study Process Questionnaire (R-SPQ-2F): Exploratory and confirmatory factor analyses at Spanish universities. European Journal of Psychology of Education<\/em>, 23(3), 355\u2013372. https:\/\/doi.org\/10.1007\/BF03173004<\/a><\/p>\n Marton, F., & S\u00e4lj\u00f6, R. (1976). On qualitative differences in learning: I\u2014Outcome and process. British Journal of Educational Psychology<\/em>, 46(1), 4\u201311. https:\/\/doi.org\/10.1111\/j.2044-8279.1976.tb02980.x<\/a><\/p>\n Phan, H. P., & Deo, B. (2007). The revised two-factor Study Process Questionnaire: Assessment of students’ approach to learning via a confirmatory factor analysis. Higher Education Research & Development<\/em>, 26(3), 275\u2013290. https:\/\/doi.org\/10.1080\/07294360701494297<\/a><\/p>\n Pintrich, P. R., Smith, D. A., Garc\u00eda, T., & McKeachie, W. J. (1991). A manual for the use of the Motivated Strategies for Learning Questionnaire (MSLQ)<\/em>. National Center for Research to Improve Postsecondary Teaching and Learning, University of Michigan.<\/p>\nKeywords<\/h2>\n
Authors<\/h2>\n
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Purpose<\/h2>\n
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Psychological Construct<\/h2>\n
1. The Deep Approach (DA)<\/h3>\n
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2. The Surface Approach (SA)<\/h3>\n
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Theoretical Framework<\/h2>\n
The Presage-Process-Product (3P) Model<\/h4>\n
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Validity<\/h2>\n
1. Construct and Structural Validity<\/h3>\n
2. Convergent and Discriminant Validity<\/h3>\n
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3. Predictive and Criterion Validity<\/h3>\n
Reliability<\/h2>\n
1. Internal Consistency<\/h3>\n
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2. Test-Retest Reliability<\/h3>\n
Factor Analysis<\/h2>\n
Confirmatory Factor Analytic Models<\/h3>\n
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Instrument \/ Measurement Tool<\/h2>\n
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Permissions & Fee and Test Year<\/h2>\n
References<\/h2>\n