1. Abstract
The Sexual Harassment in Higher Education Institutions Scale (known by its Spanish acronym ASIES, Escala de Acoso Sexual en las Instituciones de Educación Superior) is a multidimensional psychometric instrument developed by Paz Guarderas and colleagues (2023). The instrument was engineered to assess the prevalence, manifestations, and frequency of gender-based interpersonal victimization and sexual harassment within university environments. Administered across higher education sectors comprising undergraduate and postgraduate students, faculty members, administrative staff, and service personnel, the ASIES operationalizes academic sexual harassment through a comprehensive 21-item framework. These items evaluate experiences across four distinct yet hierarchically unified behavioral dimensions: Non-Verbal Harassment (conductas no verbales), Verbal Harassment (conductas verbales), Physical Harassment (conductas físicas), and Coercion Behaviors / Academic Blackmail (conductas de coerción y chantaje sexual). Items are scored along an authentic 5-point frequency continuum ranging from 1 (Nunca / Never) to 5 (Siempre / Always), capturing longitudinal behavioral incidence within campus ecosystems.
Psychometric evaluation of the ASIES in an extensive Ecuadorian multi-provincial sample (covering six provinces) demonstrated robust structural integrity and psychometric defensibility. Confirmatory factor analysis (CFA) validated a hierarchical structural equation model comprising four first-order latent factors subordinated to a general second-order sexual harassment construct, exhibiting exemplary goodness-of-fit indices: Comparative Fit Index (CFI) = .99, Tucker-Lewis Index (TLI) = .99, Standardized Root Mean Square Residual (SRMR) = .075, and Root Mean Square Error of Approximation (RMSEA) = .018 (90% CI [.014, .022]). Internal consistency reliability, estimated using McDonald’s hierarchical and categorical omega (ω), reached .85 for the global composite scale, with individual first-order subscale coefficients ranging from .53 to .76. The instrument addresses a critical void in Latin American forensic, organizational, and educational psychometrics, equipping institutional researchers, human rights committees, and academic policy makers with an empirically validated diagnostic tool to identify subtle, hostile-environment, and quid pro quo sexual harassment dynamics.
2. Keywords
sexual harassment, higher education, ASIES scale, psychometrics, campus victimization, gender-based violence, academic climate, quid pro quo harassment, confirmatory factor analysis, Latin America psychometrics
3. Authors
The Acoso Sexual en las Instituciones de Educación Superior Scale (ASIES) was conceived, operationalized, and psychometrically validated by an interdisciplinary team of behavioral scientists, clinical psychologists, and human rights researchers in Ecuador:
- Paz Guarderas, Ph.D. — Universidad Politécnica Salesiana de Ecuador (UPS), Quito, Ecuador. Research trajectory focused on social psychology, gender studies, feminist epistemologies, and systemic violence within institutional structures.
- María de Lourdes Larrea, Ph.D. — Universidad Andina Simón Bolívar, Sede Ecuador (UASB), Area of Health and Medical Sciences, Quito, Ecuador. Expertise in public health, collective health paradigms, epidemiology of violence, and sexual rights.
- Rodrigo Moreta-Herrera, Ph.D. — Pontificia Universidad Católica del Ecuador (PUCE), Ambato, Ecuador. Quantitative psychometrician and cognitive-behavioral scientist specializing in latent variable modeling, structural equation modeling (SEM), multivariate test adaptation, and psychological measurement. (Corresponding Author: [email protected]).
- Carlos Reyes-Valenzuela, M.Sc. — Universidad Andina Simón Bolívar, Sede Ecuador (UASB), Quito, Ecuador. Specialist in statistical methodology, epidemiological data analytics, and socio-educational research design.
- Diego Vaca, M.Sc. — Universidad Tecnológica Indoamérica (UTI), Centro de Investigación en Ciencias Humanas y de la Educación, Ambato, Ecuador. Researcher in cognitive processes, social interactions, and institutional well-being.
- Daniela Acosta, M.A. — Universidad Andina Simón Bolívar, Sede Ecuador (UASB), Quito, Ecuador. Applied researcher in gender equality, institutional policy, and human rights defense across Andean university contexts.
4. Purpose
Sexual harassment within tertiary education represents a profound violation of human rights, an impediment to educational access and occupational advancement, and a primary driver of psychological trauma, academic attrition, and occupational burnout. Historically, empirical research addressing sexual harassment in Latin American academic institutions has been curtailed by the lack of psychometrically sound, culturally grounded diagnostic instruments. Many previous institutional investigations utilized unstandardized, ad-hoc single-item surveys or unvalidated translations of North American questionnaires (such as the Sexual Experiences Questionnaire; SEQ) that frequently failed to reflect the bureaucratic hierarchy, cultural idiosyncrasies, normalization of micro-aggressions, and distinct socio-legal frameworks characteristic of Latin American universities.
The primary purpose of the ASIES scale is to provide an empirically derived, linguistically authentic, and structurally robust measurement tool specifically calibrated for the university context. The ASIES addresses several clinical, epidemiological, organizational, and theoretical needs:
- Behaviorally Anchored Measurement: Standard self-report surveys often query respondents directly about whether they have been “sexually harassed.” Such direct labeling is notorious in psychometrics for producing substantial underreporting due to subjective cognitive thresholds, stigma, guilt, and the normalization of predatory behaviors. The ASIES circumvents this bias by employing 21 behaviorally specific, objective statements. Respondents report the objective occurrence of concrete behaviors (e.g., unsolicited physical contact, persistent digital solicitation, academic conditioning) without requiring them to self-identify formally as “victims” of harassment.
- Multi-Constituency Campus Scope: Higher education ecosystems are not homogeneous; they encompass complex asymmetric power matrices. The ASIES is designed to measure victim experiences across all structural layers of university life, including undergraduate students, graduate trainees, faculty members (tenured, adjunct, and visiting), administrative officers, and frontline service personnel. This broad utility allows comparative cross-sectional evaluations of how institutional vulnerability differs across academic ranks.
- Diagnosis of Hostile Environment versus Quid Pro Quo: The instrument was engineered to differentiate between hostile-environment harassment (pervasive verbal degradation, intrusive gaze, non-verbal leering, unsolicited sexual discussions) and quid pro quo coercion (explicit academic or employment conditioning, blackmail, and abuse of institutional authority).
- Institutional Policy and Legal Compliance: In response to legislative reforms across Latin America mandating higher education institutions to construct prevention protocols, disciplinary routes, and specialized support centers for gender-based violence, the ASIES serves as a standardized diagnostic instrument. It enables university ombudspersons, human rights committees, and institutional audit teams to gather baseline epidemiological metrics, map high-risk academic faculties, evaluate the longitudinal efficacy of anti-harassment interventions, and formulate targeted psychosocial support programs.
5. Psychological Construct
The psychological construct captured by the ASIES is conceptualized as an unwanted, non-reciprocal, gender- or sex-based behavioral imposition within the higher education sphere that compromises the dignity, psychological integrity, safety, and academic or occupational standing of an individual. Rooted in contemporary psychometric theory and gender studies, sexual harassment is operationalized not as an isolated aberrant incident, but as a spectrum of power-laden micro- and macro-aggressions that manifest across four interrelated behavioral domains:
1. Non-Verbal Behaviors (Conductas No Verbales)
This dimension encompasses uninvited visual, gestural, environmental, and technological behaviors that convey a sexualized or objectifying meaning without physical touch or spoken dialogue. In academic spaces, non-verbal harassment serves to establish an atmosphere of surveillance and discomfort. Examples operationalized within the ASIES include persistent lascivious, intimidating, or leering glances directed toward a person’s body (Item 1); obscene, sexually suggestive, or vulgar hand and facial gestures (Item 2); unnecessary spatial proximity, physical cornering, or the deliberate invasion of intimate proxemic space with sexual intent (Item 3); the uninvited and non-consensual display or exposure to pornography, sexually explicit media, or erotic materials (Item 4); and unwanted digital contact via social networks, instant messaging platforms, or corporate email persisting after the recipient has communicated disinterest (Item 5). In psychometric terms, non-verbal indicators capture the initial boundary-testing tactics frequently utilized by perpetrators within asymmetric institutional relationships.
2. Verbal Behaviors (Conductas Verbales)
The verbal dimension captures spoken, written, or auditory acts that inject unwanted sexualization, objectification, or gender-based denigration into educational and workplace dialogues. Verbal harassment within academia frequently blurs the boundaries between informal collegiality and predatory behavior, often dismissed by perpetrators as “humor” or “compliments” (piropos). The ASIES operationalizes this dimension via items measuring sexist jokes, unsolicited remarks, or intrusive evaluations concerning personal bodily appearance and clothing choices (Item 6); indiscreet, boundary-crossing inquiries regarding the target’s intimate, private, or sexual history (Item 7); explicit insults, denigrating commentary, and micro-invalidations targeting biological sex, gender expression, or sexual orientation (Item 8); repeated, unwelcome invitations for dates, private outings, or romantic encounters following unambiguous rejection (Item 9); the dissemination of malicious sexual rumors, defamation, or reputational assaults through campus networks (Item 10); and suggestive acoustic emissions such as sexually connoted whistles, heavy breathing, or bodily sounds (Item 11).
3. Physical Behaviors (Conductas Físicas)
The physical dimension evaluates tangible, non-consensual bodily contact occurring within physical university spaces, fieldwork environments, academic conferences, or institutional events. These acts violate bodily autonomy and personal physical integrity. In the ASIES framework, physical harassment includes deliberate, non-accidental body rubbing or brushing up against an individual without consent (Item 12); unsolicited grabbing, touching, fondling, pinching, or embracing of bodily regions (Item 13); non-consensual kissing or attempted mouth-to-mouth or bodily kissing (Item 14); deliberate physical cornering or obstruction of doorways, corridors, or pathways with sexual overtones (Item 15); physical entrapment, forcible restraint, or the use of bodily strength or intimidation to compel submission to sexual conduct (Item 20); and explicit attempts at sexual assault or completed rape perpetrated within university grounds or at university-affiliated off-campus activities (Item 21).
4. Coercion Behaviors / Academic Blackmail (Conductas de Coerción y Chantaje)
This dimension operationalizes the quintessential formal institutional abuse of authority, commonly recognized in labor and educational law as quid pro quo sexual harassment. In higher education, the hierarchical disparity between professors and students, senior advisors and doctoral candidates, or supervisors and service personnel creates structural vulnerabilities. The ASIES assesses psychological pressure, persistent demands, or conditional arrangements requiring affective or sexual capitulation in exchange for academic benefits or employment retention (Item 16); direct or covert institutional threats of disciplinary sanctions, loss of employment, contract termination, failing grades, or vindictive academic reprisals following rejection of romantic or sexual propositions (Item 17); explicit or implicit promises of preferential treatment, grade inflation, scholarship awards, thesis advancement, institutional promotions, or academic awards linked to sexual cooperation (Item 18); and emotional blackmail coupled with the blatant abuse of hierarchical institutional authority to force intimate proximity (Item 19).
6. Theoretical Framework
The structural and conceptual architecture of the ASIES is anchored at the convergence of three foundational frameworks in clinical psychology, organizational sociology, and feminist jurisprudence:
Fitzgerald’s Tripartite Model of Sexual Harassment
The pioneering theoretical formulation of Louise Fitzgerald and colleagues (1988, 1995) posited that sexual harassment is not an undifferentiated behavioral mass, but rather a tripartite hierarchical construct encompassing: (a) Gender Harassment (verbal, non-verbal, and visual hostile behaviors designed to insult, degrade, and enforce sex-role conformity); (b) Unwanted Sexual Attention (unreciprocated, non-consensual sexual advances, touching, and persistent pursuit); and (c) Sexual Coercion (the classic quid pro quo conditioning of evaluations, professional advancement, or educational survival on sexual favors). The ASIES adapts this foundational architecture to Latin American institutional ecology by disaggregating Fitzgerald’s dimensions into four behaviorally granular spheres: separating non-verbal and purely verbal intrusions, delineating escalating physical violations, and isolating overt structural and academic coercion.
Organizational Power and Asymmetric Hierarchy Theory
Complementing individualistic psychological paradigms, the ASIES incorporates Organizational Tolerance and Power-Dependency Theories. Higher education institutions are inherently vertical, patriarchal, and meritocratically stratified systems. Faculty evaluate students, tenured professors sit on review boards deciding the promotion of junior colleagues, and administrative hierarchies control the contracts of precarious support workers. Within this framework, sexual harassment is understood not as an expression of biological libido, but as an exertion of power designed to maintain dominance, enforce social control, and exploit systemic dependency. By evaluating institutional blackmail and academic conditioning, the ASIES reflects how administrative power differentials amplify the coercive potential of interpersonal interactions.
Feminist Epistemologies and the Continuum of Violence
The conceptual framework behind the ASIES is deeply influenced by Liz Kelly’s (1988) Continuum of Sexual Violence. Kelly argued that pervasive, mundane, and normalized micro-intrusions (such as street harassment, leering, and sexist humor) exist along the very same behavioral continuum as physical assaults, attempted rapes, and systemic quid pro quo abuse. The ASIES operationalizes this continuum within higher education: minor, insidious behaviors (e.g., intrusive looks, sexist jokes) anchor the lower-severity spectrum of the instrument, while coercive blackmail and attempted sexual assault represent the higher-severity pole. This continuum perspective asserts that the psychological tolerance of lower-order behaviors fosters an institutional culture that enables more severe forms of violence.
7. Validity
The validation study conducted by Guarderas et al. (2023) established substantial psychometric evidence supporting the construct, structural, and content validity of the ASIES. The scale was evaluated across an extensive sample representing students, professors, and administrative/service employees drawn from higher education centers spanning six provinces in Ecuador.
Content and Face Validity
The scale development began with an extensive pool of potential items generated through qualitative analyses of survivor testimonials, existing international inventories, and expert reviews by clinical psychologists, human rights jurists, and specialists in gender violence. Items were rigorously scrutinized to eliminate ambiguity, avoid leading or emotionally pejorative labels, and ensure precise behaviorally anchored wording. Cognitive pre-testing confirmed that participants from diverse educational, socio-economic, and ethnic backgrounds within Ecuador clearly understood the behavioral scenarios described.
Construct and Structural Validity
Construct validity was formally demonstrated via multivariate structural equation modeling. The empirical factor loadings obtained across the four latent dimensions were consistently robust and statistically significant (p < .001). Items loaded systematically onto their designated theoretical dimensions, confirming that the questionnaire reliably taps the intended latent constructs of verbal, non-verbal, physical, and coercive harassment.
Internal Structure Fit Metrics
As documented in the confirmatory factor analyses, the hypothesized hierarchical model demonstrated outstanding goodness-of-fit indices:
- Comparative Fit Index (CFI) = .99: Indicating near-optimal specification relative to the null baseline model, exceeding the traditional psychometric benchmark of ≥ .95.
- Tucker-Lewis Index (TLI) = .99: Demonstrating rigorous internal structural consistency even when penalizing for model complexity.
- Root Mean Square Error of Approximation (RMSEA) = .018: With a 90% confidence interval ranging from .014 to .022, well below the stringent .05 cutoff for excellent model fit.
- Standardized Root Mean Square Residual (SRMR) = .075: Demonstrating acceptable residual discrepancies across the observed and model-implied covariance matrices (below the .08 threshold).
Limitations and Future Validity Directions
As explicitly noted by the original psychometric authors, the initial validation published in 2023 focused primarily on factorial, structural, and internal consistency metrics. Formal multi-trait multi-method (MTMM) evaluations assessing convergent validity (e.g., correlation with standard trauma, depressive symptomatology, or generalized anxiety scales) and discriminant validity (e.g., divergence from general non-sexual incivility or common academic stress) were not incorporated into the primary study. Furthermore, longitudinal stability (test-retest reliability) and measurement invariance across biological sex, sexual orientation, and academic role (student vs. faculty) represent priority domains for subsequent psychometric investigation.
8. Reliability
Given the ordinal nature of Likert-type scales and the severe positive skewness typical of low-frequency, high-severity behavioral events (such as sexual harassment), the authors evaluated internal consistency reliability using contemporary psychometric methods rather than relying exclusively on Cronbach’s alpha, which often underestimates reliability in non-normal item distributions.
McDonald’s Categorical Omega (ω)
Internal consistency was calculated via McDonald’s omega (ω), derived from factor loadings within the structural equation framework. The reliability estimates reported by Guarderas et al. (2023) are as follows:
- Global ASIES Composite Scale: ω = .85, reflecting high overall internal consistency for the total 21-item measurement model. This demonstrates that the composite instrument possesses sufficient precision for programmatic, institutional, and research-level assessment of general sexual harassment victimization.
- Verbal Harassment Subscale: ω = .76, demonstrating robust internal reliability for spoken, communicative, and reputational violations.
- Physical Harassment Subscale: Demonstrated acceptable internal consistency commensurate with its behavioral severity, with factor loadings remaining stable and statistically significant.
- Coercion Behaviors / Academic Blackmail Subscale: Exhibited solid psychometric cohesion, reflecting consistent co-occurrence of coercive, quid pro quo institutional demands.
- Non-Verbal Harassment Subscale: ω = .53. The authors acknowledged that this lower coefficient reflects the behavioral heterogeneity and low base-rate variance of certain non-verbal indicators (such as technological spamming versus bodily posturing). In psychometric practice, lower reliability in specialized sub-dimensions measuring low-frequency boundary violations is well-documented, especially when items capture disparate technological, proxemic, and visual modalities.
9. Factor Analysis
The underlying dimensionality of the ASIES was examined through a two-stage psychometric pipeline involving both exploratory and confirmatory factor analytic procedures on the Ecuadorian higher education sample.
Exploratory Factor Analysis (EFA)
In the initial exploratory phase, psychometricians examined the item pool to determine latent clustering without imposing restrictive structural constraints. The initial EFA extraction converged on a five-factor solution utilizing 16 items, accounting for approximately 33% of the cumulative variance. However, the authors noted that this exploratory model exhibited psychometric limitations, including an unsatisfactorily low proportion of explained variance and localized fragmentation of behavioral constructs across redundant factors.
Confirmatory Factor Analysis (CFA)
To overcome the limitations of the exploratory model and test theoretically driven hypotheses regarding the organization of campus sexual harassment, the authors conducted a rigorous Confirmatory Factor Analysis (CFA) specifying a hierarchical structural model consisting of four first-order factors subordinated to a single, overarching second-order factor representing General Sexual Harassment.
| Structural Fit Index | Observed ASIES Value | Standard Psychometric Cutoff | Interpretation |
|---|---|---|---|
| CFI (Comparative Fit Index) | .99 | ≥ .95 | Exemplary Goodness-of-Fit |
| TLI (Tucker-Lewis Index) | .99 | ≥ .95 | Exemplary Goodness-of-Fit |
| RMSEA (Root Mean Square Error of Approx.) | .018 (90% CI [.014, .022]) | ≤ .050 | Outstanding Parsimony / Low Error |
| SRMR (Standardized Root Mean Square Residual) | .075 | ≤ .080 | Acceptable Residual Fit |
The superior fit of the second-order model provides strong structural justification for two distinct scoring and interpretation modalities: researchers may calculate specific subscale scores across the four behavioral domains (Non-verbal, Verbal, Physical, Coercion) or aggregate them into a single, higher-order composite score measuring overall campus sexual harassment victimization.
10. Instrument / Measurement Tool
- Test Name: Sexual Harassment in Higher Education Institutions Scale (Escala de Acoso Sexual en las Instituciones de Educación Superior; ASIES).
- Authors: Paz Guarderas, María de Lourdes Larrea, Rodrigo Moreta-Herrera, Carlos Reyes-Valenzuela, Diego Vaca, and Daniela Acosta (2023).
- Instrument Type: Standardized self-report behavioral frequency rating inventory.
- Target Population: Adult higher education populations aged 18 years and older, encompassing undergraduate students, postgraduate scholars, faculty, administrative staff, and service personnel.
- Item Count: 21 behaviorally operationalized items.
- Response Format: Authentic 5-point frequency Likert scale:
- 1 = Nunca (Never)
- 2 = Raras veces (Rarely / Seldom)
- 3 = A veces (Sometimes)
- 4 = Con frecuencia (Frequently / Often)
- 5 = Siempre (Always)
- Dimensional Structure & Factor Allocation:
- Dimension 1: Conductas no verbales (Non-verbal behaviors) — Items 1, 2, 3, 4, 5.
- Dimension 2: Conductas verbales (Verbal behaviors) — Items 6, 7, 8, 9, 10, 11.
- Dimension 3: Conductas físicas (Physical behaviors) — Items 12, 13, 14, 15, 20, 21.
- Dimension 4: Conductas de coerción (Coercion / Blackmail behaviors) — Items 16, 17, 18, 19.
- Second-Order Factor: General Sexual Harassment (Acoso Sexual Global) encompassing all 21 items.
- Scoring and Computational Rules:
- There are no reverse-scored items; all items reflect direct indicators of victimization, where higher numerical ratings indicate higher frequency of experienced harassment.
- Subscale Scores: Computed by summing the raw item ratings within each dimension or calculating dimension mean scores (ranging from 1.00 to 5.00).
- Total Composite Score: Computed by summing all 21 items (raw range: 21 to 105) or generating a grand mean score across the entire instrument.
- Dichotomous Prevalence Metrics: For epidemiological reporting, researchers can classify any participant reporting a score ≥ 2 on one or more items as having experienced specific forms of sexual harassment during their institutional affiliation.
- Administration Time: Approximately 8 to 15 minutes.
11. Permissions & Fee and Test Year
- Year of Publication: 2023.
- Copyright & Licensing: The ASIES scale was published under an open-access scholarly framework in the International Journal of Psychological Research under a Creative Commons Attribution (CC BY 4.0) license.
- Commercial Fee: No commercial fee. The scale is freely accessible for non-profit scholarly research, institutional epidemiological audits, and public health evaluation purposes.
- Permissions and Institutional Protocols: Researchers, university equality boards, and clinicians intending to use, adapt, or translate the instrument are encouraged to contact the corresponding psychometric author ([email protected]) as a matter of academic protocol and to facilitate cross-institutional data pooling across higher education contexts.
12. References
- Fitzgerald, L. F., Gelfand, M. J., & Drasgow, F. (1995). Measuring sexual harassment: Theoretical and psychometric advances. Basic and Applied Social Psychology, 17(4), 425–445. https://doi.org/10.1207/s15324834basp1704_2
- Fitzgerald, L. F., Shullman, S. L., Bailey, N., Richards, M., Swecker, J., Gold, Y., Ormerod, M., & Weitzman, L. (1988). The incidence and dimensions of sexual harassment in academia and the workplace. Journal of Vocational Behavior, 32(2), 152–175. https://doi.org/10.1016/0001-8791(88)90012-7
- Guarderas, P., Larrea, M. d. L., Moreta-Herrera, R., Reyes-Valenzuela, C., Vaca, D., & Acosta, D. (2023). Propiedades psicométricas de la Escala de Acoso Sexual en las Instituciones de Educación Superior (ASIES) en una muestra ecuatoriana [Psychometric properties of the Acoso Sexual en las Instituciones de Educación Superior Scale (ASIES) in an Ecuadorian sample]. International Journal of Psychological Research, 16(1), 16–28. https://doi.org/10.29105/ijpr.v16i1.139
- Kelly, L. (1988). Surviving sexual violence. University of Minnesota Press / Polity Press.
- Moreta-Herrera, R., López-Calle, C., Ramos-Ramírez, M., & López-Guerra, V. (2018). Propiedades psicométricas de la Escala de Violencia en el Noviazgo (CUVINO) en una muestra de jóvenes ecuatorianos. Avances en Psicología Latinoamericana, 36(3), 509–523. https://doi.org/10.12804/revistas.urosario.edu.co/apl/a.5664