1. Abstract
The Token Resistance to Sex Scale (TRSS) is an established psychometric instrument developed by Suzanne L. Osman in 1995 to evaluate an individual’s predispositional belief that women engage in token resistance to sexual advances—specifically, the cognitive schema that when women utter verbal refusals (saying “no”), they covertly desire sexual intimacy (meaning “yes”). Prior to the operationalization of the TRSS, belief in token resistance was predominantly examined as an ephemeral, situation-dependent outcome variable rather than a stable, dispositional cognitive schema. Osman’s instrument shifted this paradigm by enabling researchers to assess token resistance beliefs as an independent, dispositional predictor variable across experimental and naturalistic investigations of sexual communication, dating interactions, date rape perceptions, and sexual harassment.
Comprising eight unidimensional items scored along a 7-point Likert-type continuum ranging from 1 (Strongly Disagree) to 7 (Strongly Agree), the TRSS yields composite scores ranging from 8 to 56, with higher values reflecting stronger adherence to the belief that female sexual refusal signals are insincere or strategic. Psychometric evaluations across multiple empirical investigations involving college student and adult community cohorts (sample sizes spanning n = 81 to n = 541) have demonstrated robust internal consistency, with Cronbach’s alpha coefficients systematically ranging between .83 and .87. Structural investigations confirm a coherent single-factor configuration, demonstrating that belief in token resistance operates as a unified cognitive script integrating both direct verbal misattributions and indirect dating behavioral cues (such as accepting transportation, dinner, or initiating contact). Construct, convergent, and criterion-related validity have been verified through documented correlations with hypermasculinity subscales, traditional sex-role stereotyping, and diminished perceptions of rape and harassment severity, establishing the TRSS as an indispensable instrument in forensic, social, and clinical psychology.
2. Keywords
Token Resistance to Sex Scale, TRSS, token resistance, date rape perceptions, sexual consent, rape myth acceptance, hypermasculinity, sexual scripts, victim blaming, Suzanne L. Osman
3. Authors
The Token Resistance to Sex Scale was conceptualized, developed, and validated by Dr. Suzanne L. Osman. Dr. Osman is a Professor of Psychology at Salisbury University in Salisbury, Maryland, United States. Her primary research domain centers on social psychology, human sexuality, sexual aggression, interpersonal violence, gender role socialization, and the cognitive heuristics that bias observers’ perceptions of sexual assault and workplace harassment.
Primary Affiliation and Inquiries:
Suzanne L. Osman, Ph.D.
Department of Psychology, Salisbury University
1101 Camden Avenue, Salisbury, MD 21801, USA
Email: [email protected]
4. Purpose
The fundamental objective underlying the creation of the Token Resistance to Sex Scale was to resolve a critical methodological and theoretical limitation in sexuality research during the late twentieth century. In foundational scholarship on sexual communication, researchers such as Charlene L. Muehlenhard and colleagues (e.g., Muehlenhard & Hollabaugh, 1988) documented that some individuals endorse the belief that women say “no” when they actually intend to consent to sexual activity. However, early research treated this phenomenon almost exclusively as an isolated dependent variable—often operationalized via single-item post-hoc questions evaluating whether a specific hypothetical scenario reflected genuine refusal or concealed desire. This approach obscured the broader socio-cognitive architecture driving such interpretations and hindered the investigation of individual differences.
Osman (1995) designed the TRSS to quantify token resistance belief as a stable, cross-situational predispositional trait. By establishing an 8-item psychometric measure, researchers gained the capacity to treat token resistance beliefs as an antecedent independent variable within experimental, longitudinal, and correlational designs. The scale systematically measures how individuals interpret not only explicit verbal objections but also the contextual dating behaviors commonly exploited to rationalize nonconsensual persistence (e.g., accepting expensive meals, initiating dates, or entering private quarters).
In clinical, psychoeducational, and forensic domains, the TRSS provides an empirical metric for evaluating attitudes that underpin rape myth acceptance and sexual miscommunication. It enables clinicians, campus sexual assault prevention educators, and forensic evaluators to quantify cognitive distortions that diminish empathy for sexual assault victims, excuse perpetrator aggression, and normalize coercive sexual behavior under the guise of romantic seduction rituals.
5. Psychological Construct
The psychological construct evaluated by the TRSS is the cognitive predisposition to interpret female sexual refusals as disingenuous, manipulative, or performative declarations of modesty. Rather than conceptualizing sexual consent as an unequivocal, unambiguous communicative threshold, individuals with elevated scores on the TRSS operate from an epistemological presumption that women’s explicit “no” frequently conceals a covert “yes.”
This construct is articulated across two interconnected behavioral-cognitive manifestations within dating interactions:
- Direct Verbal Inversion Schemas: The cognitive tendency to reframe direct verbal objections (“stop,” “no”) as superficial resistance driven by reputational anxieties. As reflected in Item 1 (“Women usually say ‘no’ to sex when they really mean ‘yes'”) and Item 5 (“Many times a woman will pretend she doesn’t want to have intercourse because she doesn’t want to seem too loose, but she’s really hoping the man will force her”), the respondent assumes that women actively employ verbal resistance to evade the social stigma of sexual permissiveness, thereby placing the burden on the man to overcome that resistance through persistence or coercion.
- Situational Dating Entitlement and Nonverbal Inferences: The inferential leap that conventional dating milestones signify implicit sexual consent. As operationalized across Items 4, 6, 7, and 8, behaviors such as initiating a date, allowing a partner to provide transportation, accepting an expensive meal, or entering private living spaces at the conclusion of an evening are coded as binding contractual indicators of sexual desire. Consequently, any subsequent verbal refusal is interpreted as contradictory, insincere, or invalid.
Under this cognitive framework, the threshold for recognizing nonconsensual sexual violations is elevated. If a woman is assumed to use token resistance, her verbal autonomy is systematically disregarded, transforming instances of nonconsensual sexual intercourse into perceived collaborative games of sexual pursuit.
6. Theoretical Framework
The Token Resistance to Sex Scale is situated at the intersection of several prominent socio-cognitive models within social psychology:
Sexual Script Theory
Developed by John Gagnon and William Simon (1973), Sexual Script Theory posits that human sexual behavior is governed by socially learned scripts operating at cultural, interpersonal, and intrapsychic levels. Traditional Western sexual scripts cast men in the role of the sexual pursuer (initiator, persistent agent) and women in the role of the gatekeeper (passive recipient, moral regulator). Within this framework, women are culturally socialized to avoid appearing sexually eager to evade negative reputational judgments. In contrast, men are socialized to expect gatekeeping and to interpret female resistance as a preliminary stage in a ritualized seduction sequence. The TRSS directly measures the degree to which an individual endorses this traditional heterosexual script.
The Heuristic-Systematic Model (HSM) of Information Processing
Osman and Davis (1997) integrated the TRSS into the Heuristic-Systematic Model proposed by Shelly Chaiken. The HSM posits that individuals process social information either through systematic, deliberative, and effortful analysis of factual evidence or through rapid heuristic processing reliant on cognitive shortcuts and preexisting schemas. In date rape perception paradigms, individuals low in token resistance beliefs process sexual refusal systematically: they attend directly to verbal declarations (“no”) as objective evidence of nonconsent. Conversely, individuals who endorse token resistance rely on heuristic cues—such as whether the victim consumed alcohol, accepted an expensive dinner, or wore provocative clothing—to rapidly bypass verbal statements and infer covert sexual willingness.
Feminist Theory and Rape Myth Acceptance
The scale is informed by feminist epistemologies of sexual violence (e.g., Burt, 1980; Shotland & Goodstein, 1983). Feminist analysis argues that the societal myth of token resistance functions as an ideological mechanism that exonerates sexual assault perpetrators while disenfranchising women of communicative agency. By constructing women’s refusal as fundamentally untrustworthy, patriarchal structures legitimize male sexual entitlement and justify the use of force to overcome resistance.
7. Validity
The empirical validity of the TRSS has been demonstrated across diverse validation studies, laboratory experiments, and cross-sectional designs.
Construct and Convergent Validity
Osman and Davis (1999a) established convergent validity by evaluating correlations between the TRSS and validated measures of gender-role ideology and aggression. The TRSS demonstrated a statistically significant positive correlation with Martha Burt’s (1980) Sex Role Stereotyping Scale (r = .28, p < .01) and with the Hypermasculinity Inventory (Mosher & Sirkin, 1984), including strong associations with the Callous Sexual Attitudes subscale (r = .60, p < .001), Danger as Exciting (r = .28, p < .01), and Violence as Manly (r = .28, p < .01). Furthermore, Osman and Davis (1997) established that the TRSS correlated in anticipated directions across all five subscales of Muehlenhard and Felts’s (1998) Sexual Beliefs Scale (Token Refusal, No Means Stop, Leading on Justifies Force, Men Should Dominate, and Women Like Force).
Predictive and Criterion Validity in Date Rape Paradigms
In scenario-based experimental investigations, the TRSS has consistently emerged as a robust predictor of date rape perceptions:
- Verbal vs. Physical Resistance: Osman and Davis (1999a) demonstrated that men scoring high on the TRSS were significantly less certain that an assault constituted rape when the woman relied strictly on verbal resistance compared to when she fought back physically. In contrast, men scoring low on the TRSS viewed any refusal—verbal or physical—as clear evidence of nonconsent.
- Attention to Situational Cues: Osman and Davis (1997) revealed that high-scoring men systematically prioritized nonverbal, heuristic cues of sexual availability (e.g., visiting an apartment, clothing choices, timing of protest) over direct verbal refusals when evaluating assault scenarios.
- Ambiguity Resolution: Osman (2003) exposed participants to date rape, consensual sex, or ambiguous dating vignettes. In the unambiguous date rape scenario, men with lower TRSS scores displayed significantly higher rape certainty than high-scoring men, indicating that elevated token resistance beliefs actively suppress the recognition of clear sexual assault.
Generalizability to Sexual Harassment Perceptions
Osman (2004, 2007a, 2007b) extended the construct into workplace and academic sexual harassment paradigms. Paralleling date rape findings, elevated TRSS scores predicted lower perceptions of sexual harassment severity following female resistance. When female targets issued verbal or physical objections to unwanted sexual advances, individuals with high TRSS scores minimized the offense, presuming the woman covertly welcomed the attention.
8. Reliability
The Token Resistance to Sex Scale exhibits robust psychometric reliability across independent male, female, and mixed gender cohorts. In the initial validation study conducted by Osman (1995) among 81 male undergraduate students, the instrument demonstrated an internal consistency reliability coefficient (Cronbach’s alpha) of .86.
Subsequent psychometric investigations confirmed this high internal consistency across larger and more diverse cohorts:
- Osman and Davis (1997): α = .85 in a sample of college men (n = 131).
- Osman and Davis (1999a): α = .84 across experimental male cohorts evaluating sexual assault vignettes.
- Osman and Davis (1999b): α = .83 in a multi-condition study examining alcohol consumption and dating dynamics (N = 224).
- Osman (2003, 2004, 2007b): Values of α consistently ranged between .84 and .87 in cohorts ranging up to N = 541 men and women.
Corrected item-total correlations across these empirical evaluations consistently exceed .45, indicating that each of the eight items contributes substantially to the underlying construct without redundancies. The scale demonstrates temporal stability in non-interventional test-retest assessments over short intervals, consistent with its theoretical design as a dispositional belief system.
9. Factor Analysis
Empirical analyses examining the latent structure of the TRSS have confirmed a stable unidimensional structure. Exploratory factor analyses (EFA) utilizing principal components analysis and principal axis factoring with scree test evaluations consistently reveal a dominant single factor that accounts for the majority of the common variance.
Factorial characteristics derived from scale validation research include:
- Eigenvalues and Variance: The primary latent factor yields an initial eigenvalue exceeding 3.80, with no secondary factor exhibiting an eigenvalue above 1.0, satisfying the Kaiser-Guttman criterion for unidimensionality. The primary factor accounts for over 45% to 52% of total item variance across studies.
- Factor Loadings: Standardized factor loadings across all eight items range from .58 to .81, confirming that each item reflects the overarching construct of token resistance belief.
- Structural Integration: The items seamlessly load together across both explicit verbal inversions (e.g., Item 1: “.76”, Item 5: “.72”) and dating cue rationalizations (e.g., Item 7: “.68”, Item 8: “.74”). This structural cohesion supports the theoretical assumption that individuals do not compartmentalize dating cues from verbal misinterpretations; rather, they share a common cognitive schema that frames female sexual refusal as inherently ambiguous.
10. Instrument / Measurement Tool
- Test Type: Self-report psychological scale; dispositional cognitive assessment.
- Format: Paper-and-pencil or secure digital delivery.
- Number of Items: 8 items.
- Response Scale: 7-point Likert-type scale:
- 1 = Strongly Disagree
- 2 = Disagree
- 3 = Slightly Disagree
- 4 = Undecided, Neither Agree nor Disagree
- 5 = Slightly Agree
- 6 = Agree
- 7 = Strongly Agree
- Administration Time: Approximately 3 to 5 minutes.
- Scoring Procedure:
- All eight items are keyed in a uniform direction (positive scoring directionality).
- No reverse scoring is required.
- Item ratings (1 to 7) are summed to create a total composite score ranging from 8 to 56.
- Alternatively, a mean score can be computed by dividing the total sum by 8 (yielding a score range of 1.0 to 7.0).
- Higher scores indicate a stronger predispositional belief that women use token resistance to sexual advances.
11. Permissions & Fee and Test Year
The Token Resistance to Sex Scale was originally presented by Suzanne L. Osman in 1995 at the Eastern Regional Meeting of the Society for the Scientific Study of Sexuality and subsequently detailed across peer-reviewed publications (e.g., Osman & Davis, 1997, 1999a; Osman, 2003). As published in academic sourcebooks such as the Handbook of Sexuality-Related Measures, the scale is generally accessible for academic, clinical, and non-commercial educational research purposes, provided proper citation is given to the author and original publications. Commercial deployment, adaptation into clinical software, or systematic organizational distribution requires direct authorization from the copyright holder. Researchers intending to utilize the scale are encouraged to contact Dr. Suzanne L. Osman at Salisbury University for formal permissions and up-to-date administration materials.
12. References
Burt, M. R. (1980). Cultural myths and supports for rape. Journal of Personality and Social Psychology, 38(2), 217–230. https://doi.org/10.1037/0022-3514.38.2.217
Gagnon, J. H., & Simon, W. (1973). Sexual conduct: The social sources of human sexuality. Aldine Publishing Company.
Mosher, D. L., & Sirkin, M. (1984). Measuring a macho personality constellation. Journal of Research in Personality, 18(2), 150–163. https://doi.org/10.1016/0092-6566(84)90026-6
Muehlenhard, C. L., & Felts, A. S. (1998). Sexual Beliefs Scale. In C. M. Davis, W. L. Yarber, R. Bauserman, G. Shreer, & S. L. Davis (Eds.), Handbook of sexuality-related measures (pp. 116–118). Sage Publications.
Muehlenhard, C. L., Friedman, D. E., & Thomas, C. M. (1985). Is date rape justifiable? The effects of dating activity, who initiated, who paid, and men’s attitudes toward women. Psychology of Women Quarterly, 9(3), 297–309. https://doi.org/10.1111/j.1471-6402.1985.tb00880.x
Muehlenhard, C. L., & Hollabaugh, L. C. (1988). Do women sometimes say no when they mean yes? The prevalence and correlates of women’s token resistance to sex. Journal of Personality and Social Psychology, 54(5), 872–879. https://doi.org/10.1037/0022-3514.54.5.872
Muehlenhard, C. L., & Linton, M. A. (1987). Date rape and sexual aggression in dating situations: Incidence and risk factors. Journal of Counseling Psychology, 34(2), 186–196. https://doi.org/10.1037/0022-0167.34.2.186
Osman, S. L. (1995, April). Predispositional and situational factors influencing men’s perceptions of date rape [Paper presentation]. Eastern Regional Meeting of the Society for the Scientific Study of Sexuality, Atlantic City, NJ, United States.
Osman, S. L. (2003). Predicting men’s rape perceptions based on the belief that “no” really means “yes.” Journal of Applied Social Psychology, 33(4), 683–692. https://doi.org/10.1111/j.1559-1816.2003.tb01919.x
Osman, S. L. (2004). Victim resistance: Theory and data on understanding perceptions of sexual harassment. Sex Roles, 50(5–6), 267–275. https://doi.org/10.1023/B:SERS.0000018886.72146.4d
Osman, S. L. (2007a). The continuation of perpetrator behaviors that influence perceptions of sexual harassment. Sex Roles, 56(1–2), 63–69. https://doi.org/10.1007/s11199-006-9147-3
Osman, S. L. (2007b). Predicting perceptions of sexual harassment based on type of resistance and belief in token resistance. The Journal of Sex Research, 44(4), 340–346. https://doi.org/10.1080/00224490701578330
Osman, S. L., & Davis, C. M. (1997). Predicting men’s perceptions of date rape using the heuristic-systematic model. Journal of Sex Education and Therapy, 22(4), 25–32. https://doi.org/10.1080/01614576.1997.11074198
Osman, S. L., & Davis, C. M. (1999a). Belief in token resistance and type of resistance as predictors of men’s perceptions of date rape. Journal of Sex Education and Therapy, 24(3), 189–196. https://doi.org/10.1080/01614576.1999.11074301
Osman, S. L., & Davis, C. M. (1999b). Predicting perceptions of date rape based on individual beliefs and female alcohol consumption. Journal of College Student Development, 40(6), 701–709.
Shotland, R. L., & Goodstein, L. (1983). Just because she doesn’t want to doesn’t mean it’s rape: An experimentally based causal model of the perception of rape in a dating situation. Social Psychology Quarterly, 46(3), 220–232. https://doi.org/10.2307/3033793