Empathizing-Systemizing Test

1. Abstract

The Empathizing-Systemizing Test (EQ-SQ) is a comprehensive psychometric assessment engineered to operationalize and evaluate individual differences along two fundamental cognitive dimensions: empathizing (the drive to identify, understand, and predict another individual's mental states and emotional experiences, and to respond with an appropriate affective reaction) and systemizing (the drive to analyze, construct, and predict the behavior of rule-based systems across mechanical, natural, abstract, and organizational domains). Originally developed by Simon Baron-Cohen and colleagues at the Autism Research Centre (ARC) at the University of Cambridge, this composite 120-item instrument amalgamates the original 60-item Empathy Quotient (EQ) and 60-item Systemizing Quotient (SQ) into a unified, balanced protocol consisting of target diagnostic items alongside control and filler items designed to disrupt response sets and mitigate acquiescence bias. Administered via a 4-point forced-choice response format (“Strongly disagree,” “Disagree,” “Agree,” and “Strongly agree”), the instrument provides distinct quantitative metrics across both axes, facilitating the classification of individuals into cognitive “Brain Types” (Type E, Type B, Type S, Extreme Type E, and Extreme Type S) under the overarching framework of the Empathizing–Systemizing (E-S) Theory and the Extreme Male Brain (EMB) Theory of Autism. Psychometric evaluations across diverse neurotypical, clinical, and international cohorts demonstrate high internal consistency (Cronbach's alpha coefficients typically ranging from α = .85 to .92 for Empathizing and α = .79 to .88 for Systemizing), robust temporal stability over extended test-retest intervals (r > .80), and prominent construct, convergent, discriminant, and criterion-related validity. The scale serves as a critical paradigm in cognitive psychology, neurodevelopmental assessment, differential psychology, and vocational profiling.

2. Keywords

Empathizing-Systemizing Test, Empathy Quotient, Systemizing Quotient, Simon Baron-Cohen, Autism Spectrum Condition, Asperger Syndrome, Cognitive Profiles, Sex Differences, Psychometrics, Theory of Mind, Extreme Male Brain Theory, Factor Analysis

3. Authors

The Empathizing-Systemizing assessment framework was conceptualized and formalized by Simon Baron-Cohen, Professor of Developmental Psychopathology at the University of Cambridge and Fellow of Trinity College, Cambridge, alongside key research collaborators at the Autism Research Centre (ARC), Department of Psychiatry, University of Cambridge, United Kingdom. Co-investigators instrumental in the construction, item curation, and empirical validation of the constituent components include:

• Sally Wheelwright — Autism Research Centre, Department of Psychiatry, University of Cambridge, UK.
• Jacqueline Richler — Department of Psychology, University of Cambridge, UK.
• Danielle Bisarya — Department of Experimental Psychology, University of Cambridge, UK.
• Nimret Gurunathan — Department of Experimental Psychology, University of Cambridge, UK.
• Akio Wakabayashi — Department of Psychology, Faculty of Letters, Chiba University, Japan (lead collaborator on cross-cultural validation and psychometric short-form derivations).

Institutional Contact: Autism Research Centre, Douglas House, 18b Trumpington Road, Cambridge CB2 8AH, United Kingdom.

4. Purpose

The primary purpose of the combined 120-item Empathizing-Systemizing Test is to quantitatively delineate an individual's dispositional capacity and spontaneous orientation toward two distinct modes of information processing and social adaptation. In psychological and neurodevelopmental research, human cognition exhibits pronounced inter-individual variance in how interpersonal interactions and inanimate environments are decoded. The EQ-SQ framework was constructed to move beyond unidimensional models of intelligence or social dysfunction, offering a dual-axis metric that captures both interpersonal/affective competence and structured/analytical aptitude.

Clinical Diagnostic Utility

In clinical neurodevelopmental contexts, the instrument serves as a valuable adjunctive screening and profiling tool for Autism Spectrum Conditions (ASC), including what was historically diagnosed as Asperger syndrome or high-functioning autism. Autistic individuals typically present with a cognitive profile characterized by attenuated spontaneous empathizing alongside intact, average, or markedly superior systemizing. By administering the combined 120-item battery, clinicians obtain simultaneous, non-overlapping indices that assist in differentiating autism spectrum phenotypes from other psychiatric conditions, such as personality disorders, alexithymia, or social anxiety disorder, wherein the dissociation between empathizing and systemizing manifests differently.

Theoretical and Empirical Research Applications

Beyond clinical diagnostics, the EQ-SQ battery is widely deployed across cognitive neuroscience, evolutionary psychology, behavioral genetics, and social psychology. It operationalizes Baron-Cohen's Empathizing–Systemizing (E-S) model of normative sex differences, providing an empirical vehicle to test hypotheses regarding the organizing effects of prenatal androgens (such as fetal testosterone) on brain development. Furthermore, the test is extensively utilized in vocational psychology and higher education research to examine cognitive predictors of academic specialization (e.g., humanities vs. STEM disciplines), spatial and technical competencies, occupational attainment, and interpersonal functioning in organizational leadership.

5. Psychological Construct

The psychometric architecture of the instrument relies on the theoretical orthogonalization or quasi-independence of two higher-order psychological constructs: Empathizing (E) and Systemizing (S).

The Empathizing Construct

Empathizing is conceptualized as an integrated, multi-stage social-cognitive process. It is not limited to passive emotional contagion or cold, intellectualized social reasoning; rather, it encompasses two foundational subcomponents:

• Cognitive Empathy (Theory of Mind / Mentalizing): The ability to spontaneously attribute mental states (such as beliefs, desires, intentions, emotional conditions, and perceptual viewpoints) to others, and to infer what another person is thinking or feeling based on subtle social cues, facial expressions, vocal inflections, and contextual dynamics (exemplified by items such as “I can tell if someone is masking their true emotion” and “I can easily work out what another person might want to talk about”).
• Affective / Emotional Reactivity: The propensity to experience an appropriate affective response that mirrors or complements the inferred emotional state of the other person, prompting prosocial behaviors, comforting actions, or inhibitory responses against causing distress (exemplified by items such as “Seeing people cry doesn't really upset me” [reverse-scored] and “It upsets me to see an animal in pain”).

Empathizing enables individuals to navigate dynamic, open-ended, and inherently unpredictable social environments where behavioral rules cannot be codified with absolute mathematical certainty.

The Systemizing Construct

Systemizing denotes the drive and psychological capacity to analyze the variables of a system to deduce the underlying deterministic rules that govern it, as well as the drive to construct systems. Any domain governed by structural inputs, causal transformations, and observable outputs falls under the purview of systemizing. Baron-Cohen delineates several operational manifestations of systemizing tapped by the test items:

• Mechanical and Technical Systems: Curiosity regarding how machines, electrical circuits, motors, and computational devices operate (e.g., “I am fascinated by how machines work”; “If I were buying a computer, I would want to know exact details about its hard drive capacity and processor speed”).
• Natural and Biological Systems: The taxonomy and lawful patterns governing the physical and natural world, including meteorology, geological formations, anatomy, and botanical taxonomy (e.g., “When I look at a mountain, I think about how precisely it was formed”; “I am interested in knowing the path a river takes from its source to the sea”).
• Abstract and Symbolic Systems: Symbolic rule frameworks including mathematics, syntax, computer programming, musical notation, and formal logic (e.g., “In maths, I am intrigued by the rules and patterns governing numbers”; “When I learn a language, I become intrigued by its grammatical rules”).
• Organizable and Taxonomical Systems: The structural classification of artifacts, indices, collections, historical timelines, and logistical frameworks (e.g., “If I had a collection (e.g. CDs, coins, stamps), it would be highly organized”; “When travelling by train, I often wonder exactly how the rail networks are coordinated”).

Control and Filler Dimension

The inclusion of 40 non-scoring control and filler items (e.g., “I dream most nights”; “I enjoy participating in sport”) serves to mask the diagnostic intent of the instrument, disrupt pattern responding, and prevent deliberate impression management or self-stereotyping.

6. Theoretical Framework

The Empathizing-Systemizing Test is grounded in the Empathizing–Systemizing (E-S) Theory of normative psychological sex differences and the Extreme Male Brain (EMB) Theory of autism, advanced by Simon Baron-Cohen (2002, 2003). The theoretical scaffolding rests on several structural postulates:

The E-S Model of Cognitive Disparity

The foundational premise posits that human psychological variation along social and non-social cognitive domains can be mapped along a coordinate space defined by standardized discrepancy scores between Empathizing and Systemizing. By standardizing EQ and SQ raw scores against a normative reference population (deriving standardized residuals $Z_E$ and $Z_S$, or the difference score $D = (S – E) / 2$), individuals are classified into five distinct cognitive profiles or “Brain Types”:

• Type E (Empathizing > Systemizing): Individuals whose empathizing competence is significantly more developed than their systemizing aptitude ($D < -1$ standard deviation). Statistically, a greater proportion of neurotypical females fall into this category.
• Type S (Systemizing > Empathizing): Individuals whose systemizing drive and analytical aptitude exceed their empathizing capability ($D > +1$ standard deviation). Statistically, a greater proportion of neurotypical males occupy this sector.
• Type B (Balanced, Empathizing ≈ Systemizing): Individuals who demonstrate commensurate capacities across both domains, processing social and mechanistic phenomena with comparable facility ($-1 le D le +1$).
• Extreme Type E ($E gg S$): Individuals exhibiting exceptionally elevated empathizing coupled with suppressed or deficient systemizing abilities.
• Extreme Type S ($S gg E$): Individuals exhibiting intact, superior, or hypersystemizing capacities alongside significant deficits or delays in spontaneous empathizing.

The Extreme Male Brain Theory of Autism

Baron-Cohen extended the E-S theory to hypothesize that autism spectrum conditions represent a psychobiological exaggeration of the typical male cognitive profile (the “Extreme Male Brain”). Under this framework, hyper-systemizing accounts for core non-social autistic traits, including insistence on sameness, repetitive routines, focused special interests, islet abilities in technical domains, and distress in unstructured environments. Conversely, hypomentalizing accounts for socio-communicative impairments, difficulties with conversational pragmatic reciprocity, and reduced intuitive affective perspective-taking. The theoretical model bridges psychometrics with biological markers, positing that elevated levels of fetal testosterone modulate neural connectivity, skewing cerebral specialization toward algorithmic systemizing at the expense of socio-emotional empathizing.

7. Validity

The 120-item Empathizing-Systemizing Test and its constituent instruments have undergone extensive empirical scrutiny to substantiate their construct, convergent, discriminant, and criterion-related validity.

Construct and Criterion Validity

Extensive normative studies have consistently confirmed the fundamental predictions of the E-S model:

• Biological Sex Differences: Across multiple international cohorts totaling tens of thousands of neurotypical participants, females consistently score statistically significantly higher than males on the Empathy Quotient ($d = 0.55\text{ to }0.70$), while males score significantly higher than females on the Systemizing Quotient ($d = 0.40\text{ to }0.65$).
• Clinical Differentiation: In the landmark validation studies by Baron-Cohen, Richler, et al. (2003) and Baron-Cohen and Wheelwright (2004), adults with Asperger syndrome or high-functioning autism scored significantly lower on the EQ than both neurotypical male controls ($t(182) = 10.6, p < .001$) and neurotypical female controls ($t(148) = 15.2, p < .001$). Simultaneously, the clinical autism group scored significantly higher on the SQ than neurotypical controls ($p < .001$), with over 65% of autistic individuals falling into the “Extreme Type S” category compared to less than 5% of the general population.

Convergent and Discriminant Validity

Convergent validity is supported by strong correlations between EQ scores and established measures of social cognition, including the Reading the Mind in the Eyes Test ($r = .45, p < .001$), the Interpersonal Reactivity Index (IRI; particularly the Empathic Concern and Perspective Taking subscales, $r = .60\text{ to }.72$), and the Toronto Alexithymia Scale (TAS-20; showing robust negative correlations with EQ, $r = -.54$). Conversely, SQ scores demonstrate significant positive correlations with tests of spatial and mechanical reasoning (e.g., the Mental Rotations Test, $r = .35\text{ to }.42$) and enrollment in physical sciences, mathematics, and engineering degree programs ($F(4, 385) = 18.3, p < .001$).

Discriminant validity is evidenced by the weak or negligible correlation between the EQ and SQ scores themselves within the general population (correlations typically range from $r = -.10$ to $r = .08$), confirming that empathizing and systemizing operate as orthogonal cognitive axes rather than opposite poles of a single dimensional construct.

8. Reliability

The psychometric reliability of the Empathizing-Systemizing Test has been systematically verified through internal consistency metrics and temporal test-retest analyses across multiple language adaptations and clinical cohorts.

Internal Consistency

In the foundational validation samples (Baron-Cohen & Wheelwright, 2004; Baron-Cohen et al., 2003):

• Empathy Quotient (40 target items): Demonstrated excellent internal consistency, yielding a Cronbach's alpha of $\alpha = .92$ in general population validation samples and $\alpha = .89$ in adult clinical ASC samples. Subsequent large-scale investigations (e.g., Wakabayashi et al., 2006; Wheelwright et al., 2006) reported alphas consistently between $.85$ and $.90$.
• Systemizing Quotient (40 target items): Exhibited strong internal reliability, with Cronbach's alpha calculated at $\alpha = .79$ in the original adult sample and between $\alpha = .85$ and $\alpha = .88$ in revised standardizations and cross-cultural adaptations (e.g., Japanese and European cohorts).

Test-Retest Stability

Temporal stability assessments over test-retest intervals ranging from 3 to 12 months have revealed high intra-individual reliability coefficients. In a test-retest subsample of neurotypical adults re-administered the EQ at an interval of 12 months, the Pearson correlation coefficient was $r = .84$ ($p < .0001$). For the SQ, test-retest reliability across an identical interval was established at $r = .80$ ($p < .0001$). Intraclass correlation coefficients (ICC) across repeated clinical evaluations further corroborate that the test measures enduring cognitive traits rather than fluctuating emotional or motivational states.

9. Factor Analysis

Exploratory factor analysis (EFA) and confirmatory factor analysis (CFA) have confirmed both the overarching macro-structure of the instrument and identified coherent sub-factors within the primary scales.

Structural Orthogonality

Joint exploratory factor analyses on the combined item pool demonstrate that EQ and SQ items load reliably onto distinct, orthogonal factors. In multi-sample CFA models (e.g., Wakabayashi et al., 2006; Allison et al., 2008), a two-factor second-order model (separating Empathizing and Systemizing items into discrete latent domains) yielded acceptable fit indices ($\chi^2/df < 2.5$, $\text{RMSEA} = .048$, $\text{CFI} = .91$, $\text{TLI} = .90$), decisively outperforming a unidimensional bipolar model.

Underlying Factor Structures of EQ and SQ

Subsequent psychometric examinations have decomposed both constructs into multidimensional facets:

• EQ Latent Factors: Factor-analytic studies (Lawrence et al., 2004; Muncer & Ling, 2006) identify a clear three-factor solution for the Empathy Quotient:
  1. Cognitive Empathy: Items reflecting intuitive understanding of others' viewpoints and deceptive/masked emotions (e.g., Items 4, 13, 21, 26, 65, 104).
  2. Emotional Reactivity: Items capturing affective resonance and distress in reaction to others' suffering (e.g., Items 11, 39, 54, 94).
  3. Social Skills / Social Intuition: Items tapping behavioral comfort, conversational ease, and situational tact (e.g., Items 27, 71, 96, 118).
• SQ Latent Factors: Structural analyses of the Systemizing Quotient (Ling et al., 2009; Wakabayashi et al., 2006) yield a robust multi-factor architecture reflecting specialized domains of rule analysis:
  1. Mechanical / Technic: Mastery and fascination with mechanical gadgets, engines, and electronics (e.g., Items 10, 18, 45, 59).
  2. Abstract / Structural Systems: Systematic organization of data, mathematical rules, and syntactic frameworks (e.g., Items 20, 50, 55, 63, 120).
  3. Natural Systems: Curiosity regarding physical topography, biological classification, and weather dynamics (e.g., Items 51, 61, 77, 93, 98).
  4. Personal Organization / Routine: Compulsion to maintain schedules, lists, and cataloged collections (e.g., Items 81, 83, 111).

10. Instrument / Measurement Tool

• Test Type: Self-report psychological assessment / trait rating scale.
• Item Inventory: 120 items total, comprised of:
  • 40 scoring Empathizing items (measuring cognitive empathy, emotional reactivity, and social skills).
  • 40 scoring Systemizing items (measuring technical, natural, abstract, and organizational rule-analysis).
  • 40 filler/control items (unscored items included to mask instrument intent and disrupt response sets).
• Response Format: 4-point forced-choice Likert-type scale with categories:
  • 1 = Strongly disagree
  • 2 = Disagree
  • 3 = Agree
  • 4 = Strongly agree
• Scoring Architecture & Methodology:
  • Classic Baron-Cohen 2-Point Weighting Scheme: Historically, items were scored using a non-linear 0–1–2 metric to reward unequivocal endorsements. For positively phrased items keyed to the construct, answering “Strongly agree” yields 2 points, “Agree” yields 1 point, and “Disagree” or “Strongly disagree” yields 0 points. For negatively phrased (reverse-keyed) items, answering “Strongly disagree” yields 2 points, “Disagree” yields 1 point, and “Agree” or “Strongly agree” yields 0 points. Maximum raw score per scale is 80 points (EQ Range: 0–80; SQ Range: 0–80).
  • Continuous Linear Scoring (1–4): In contemporary online and psychometric research applications, items are frequently scored continuously from 1 to 4 (after reverse-coding negatively worded items), yielding total composite raw scores ranging from 40 to 160 per scale, preserving item variance for structural equation modeling.
  • Filler Items: The 40 control items (e.g., Items 1, 3, 5, 8, 12, 17, 22, 24, 36, 38, 40, 41, 42, 44, 46, 49, 58, 60, 62, 64, 72, 79, 80, 86, 87, 88, 89, 91, 92, 95, 100, 101, 102, 106, 108, 112, 113, 114, 117, 119) are omitted from the final subscale sums.
• Cognitive Profile (Brain Type) Computation: Standardized $Z$-scores are computed for both dimensions ($Z_E = (EQ – \mu_{EQ}) / \sigma_{EQ}$ and $Z_S = (SQ – \mu_{SQ}) / \sigma_{SQ}$). The difference score $D = (Z_S – Z_E) / 2$ determines assignment into Type E ($D < -1$), Type B ($-1 le D le 1$), Type S ($D > 1$), Extreme Type E ($D < -2$), or Extreme Type S ($D > 2$).

11. Permissions, Fee, and Test Year

• Year of Development: 2003–2004 (Systemizing Quotient published 2003; Empathy Quotient published 2004; integrated 120-item combined battery standardized 2004–2006).
• Copyright & Ownership: © Simon Baron-Cohen and the Autism Research Centre (ARC), University of Cambridge.
• Commercial Status & Academic Use: The scale is an open-access academic instrument. It is made freely available by the Autism Research Centre for non-commercial academic, psychological, and clinical research purposes without royalty fees or licensing costs.
• Commercial Licensing: Any commercial deployment, inclusion in proprietary testing software, or revenue-generating clinical platforms requires explicit written permission and licensing authorization from Cambridge Enterprise / Autism Research Centre, University of Cambridge.

12. References

• Allison, C., Baron-Cohen, S., Wheelwright, S. J., Stone, M. H., & Gheorghiu, A. I. (2008). Cambridge Behaviour Scale: Cross-cultural validation and development of a short version of the Empathy Quotient (EQ). Journal of Autism and Developmental Disorders, 38(7), 1433–1444. https://doi.org/10.1007/s10803-007-0524-7
• Baron-Cohen, S. (2002). The extreme male brain theory of autism. Trends in Cognitive Sciences, 6(6), 248–254. https://doi.org/10.1016/S1364-6613(02)01904-6
• Baron-Cohen, S. (2003). The essential difference: The truth about the male and female brain, and the truth about autism. Basic Books.
• Baron-Cohen, S., Richler, J., Bisarya, D., Gurunathan, N., & Wheelwright, S. (2003). The systemizing quotient: An investigation of adults with Asperger syndrome or high-functioning autism, and normal sex differences. Philosophical Transactions of the Royal Society of London. Series B: Biological Sciences, 358(1430), 361–374. https://doi.org/10.1098/rstb.2002.1206
• Baron-Cohen, S., & Wheelwright, S. (2004). The Empathy Quotient: An investigation of adults with Asperger syndrome or high functioning autism, and normal sex differences. Journal of Autism and Developmental Disorders, 34(2), 163–175. https://doi.org/10.1023/B:JADD.0000022607.19833.00
• Lawrence, E. J., Shaw, P., Baker, D., Baron-Cohen, S., & David, A. S. (2004). Measuring empathy: Reliability and validity of the Empathy Quotient. Psychological Medicine, 34(5), 911–919. https://doi.org/10.1017/S0033291703001624
• Ling, J., Burton, T. C., Salt, J. L., & Muncer, S. J. (2009). Psychometric analysis of the Systemizing Quotient (SQ) scale. British Journal of Psychology, 100(2), 339–352. https://doi.org/10.1348/000712608X334831
• Muncer, S. J., & Ling, J. (2006). Psychometric analysis of the Empathy Quotient (EQ) scale. Personality and Individual Differences, 40(6), 1111–1119. https://doi.org/10.1016/j.paid.2005.11.008
• Wakabayashi, A., Baron-Cohen, S., Wheelwright, S., Goldenfeld, N., Delaney, J., Fine, D., Smith, R., & Weil, L. (2006). Development of short forms of the Empathy Quotient (EQ-Short) and the Systemizing Quotient (SQ-Short). Personality and Individual Differences, 41(5), 929–940. https://doi.org/10.1016/j.paid.2006.03.017
• Wheelwright, S., Baron-Cohen, S., Goldenfeld, N., Delaney, J., Fine, D., Smith, R., Weil, L., & Wakabayashi, A. (2006). Predicting Autism Spectrum Quotient (AQ) from the Systemizing Quotient-Revised (SQ-R) and Empathy Quotient (EQ). Brain Research, 1079(1), 47–56. https://doi.org/10.1016/j.brainres.2006.01.012

13. Items of the Scale (Questionnaire)