Researchers Validate Questionnaires Measuring Sexual Communication Content and Process

The science of talking about sex has long suffered from a measurement problem. Researchers have known for decades that couples who communicate well about sex tend to report greater sexual satisfaction, better sexual function, and stronger relationships, yet the tools used to capture that communication have been surprisingly one-dimensional. A new study published in Archives of Sexual Behavior aims to change that, introducing and validating a pair of questionnaires designed to measure sexual communication in all its complexity, from what partners talk about to how those conversations actually unfold.

The research, led by Kendra S. Wasson and Uzma S. Rehman of the University of Waterloo, together with Beáta Bőthe and Sophie Bergeron of the Université de Montréal and Natalie O. Rosen of Dalhousie University, produced two instruments: the Multidimensional Sexual Communication Questionnaire–Sexual Preferences (MSC-SP) and the Multidimensional Sexual Communication Questionnaire–Safer Sex Communication (MSC-SS). Together, they form what the authors call the MSC framework, an approach built around a distinction that previous scales largely ignored, namely the difference between the content of sexual communication, meaning what is communicated, and the process of sexual communication, meaning how it is communicated.

That distinction matters because sexual communication is not a single behavior. It spans conversations about preferences, desires, boundaries, and consent before or after sexual activity, as well as the more subtle, in-the-moment exchanges of pleasure, discomfort, and adjustment that occur during sex itself. It also encompasses the higher-stakes domain of safer sex negotiation, including discussions about condom use, sexually transmitted infection status, and contraception. Older instruments, such as the Dyadic Sexual Communication Scale or the various sexual self-disclosure measures developed over the past several decades, tended to collapse these domains into a single global score, obscuring the possibility that a couple might excel at discussing their erotic preferences while avoiding conversations about sexual health entirely, or vice versa.

The development of the new questionnaires followed a rigorous psychometric pipeline. The research team generated items based on the existing literature on sexual communication, sexual self-disclosure, and sexual consent, producing an initial pool of 26 items that ranged from concrete topics, such as preferred touch and sexual positions, to more nuanced subjects, including fantasies, turn-offs, and disengagement from sexual activity. These items were then tested in two online samples totaling 684 participants. The researchers first used exploratory factor analysis to uncover the latent structure of the items, and then confirmatory factor analysis on an independent subsample to test whether that structure held up under more stringent hypothesis-driven modeling. All analyses were conducted in R using the lavaan package for structural equation modeling, with supporting tools from the semTools and psych packages.

The factor analyses revealed a structure that the authors describe as capturing both content and process dimensions. On the content side, items distinguished between discussions of sexual preferences and discussions of safer sex practices. On the process side, the analyses identified dimensions such as depth of disclosure, meaning how much detail partners share, and perceived consequences, meaning how individuals anticipate their disclosures will be received. In other words, the questionnaires do not merely ask whether partners talk about sex; they capture the texture of those conversations, from surface-level exchanges to deeply revealing ones, and the emotional calculus that governs how much people are willing to say.

The item refinement process proved to be an instructive part of the study. Of the original 26 items, 12 were retained in the final versions of the scales. The team removed more nuanced items, such as those addressing fantasies and turn-offs, after finding that they introduced conceptual heterogeneity and performed poorly during measurement invariance testing, a statistical procedure that checks whether a scale measures the same construct in the same way across different groups. Crucially, the authors demonstrated that this reduction did not compromise predictive utility, since the shortened scales explained comparable levels of variance in outcome measures as the full item pool. One interesting casualty of the refinement was a perceived importance question asking participants how important they thought it was to discuss each topic with their partner. Nearly all participants rated every item as maximally important, producing a pronounced ceiling effect with left-skewed distributions and high upper quartiles across the 0 to 100 response scale. Restrictive variance of this kind undermines factor analysis, and the item was excluded from the modeling.

The psychometric credentials of the final instruments are strong. Both the MSC-SP and the MSC-SS demonstrated high internal consistency, with reliability estimates computed using approaches favored in contemporary measurement work, including omega coefficients rather than relying solely on the older Cronbach’s alpha. The scales also showed evidence of convergent validity, correlating meaningfully with related constructs as expected, and divergent validity, remaining distinct from conceptually separate constructs. Perhaps most importantly for a field that increasingly serves diverse populations, the questionnaires demonstrated measurement invariance across multiple identity groups. Invariance testing, conducted through a hierarchy of increasingly restrictive models that constrain factor loadings and then item intercepts to be equal across groups, is the gold standard for establishing that scale scores can be fairly compared between, for example, people of different genders or sexual orientations. Without it, group differences in scores might reflect measurement artifacts rather than genuine differences in communication.

The invariance findings came with an honest caveat. The authors conducted exploratory factor analyses splitting the data by sexual identity, comparing heterosexual participants with sexually diverse participants. The latter subgroup, numbering 114 people, was underpowered for definitive conclusions, but the analyses revealed that while model fit indices differed only modestly, the number of factors and the pattern of loadings shifted between models, particularly on items that may be theoretically more relevant for sexually diverse participants. One item, for example, loaded substantially on both perceived consequences and depth of disclosure in the sexually diverse sample. This suggests that while the MSC framework is adaptable, researchers using it with sexual minority populations should attend carefully to how the content and process dimensions manifest in those groups, an area the authors flag for future work with larger samples.

Why does any of this matter beyond the walls of psychometric laboratories? Decades of research link sexual communication to some of the most consequential outcomes in relationship science and public health. Meta-analyses have associated couples’ sexual communication with sexual satisfaction and multiple dimensions of sexual function, and clinical studies have shown that communication quality mediates the outcomes of couple-based interventions for sexual pain disorders such as provoked vestibulodynia. On the public health side, safer sex communication is a documented correlate of condom use and other protective behaviors, with implications for sexually transmitted infection prevention, including in high-priority populations such as sexual minority men navigating HIV prevention strategies. A measurement framework that can separately quantify preference-focused communication and health-focused communication, while also characterizing the depth and perceived risk of those conversations, gives clinicians and researchers a far sharper instrument than a single global score ever could.

The study also arrives at a moment when the field is reckoning with how poorly one-size-fits-all measures serve sexually and gender-diverse populations. Prior reviews have noted that sexual communication among queer partners can follow different scripts, involve different negotiation challenges, and carry different risks than communication in heterosexual couples, yet most established scales were developed and validated almost exclusively on heterosexual samples. By explicitly testing invariance across identity groups and publishing all data and analysis code on the Open Science Framework, the Waterloo-Montreal-Dalhousie team has set a transparency standard that makes the framework adaptable rather than prescriptive. The authors analyzed their data in RStudio with full reproducibility, and the supplemental materials document the sensitivity of the factor structure to sample composition.

There are, of course, limits to what any self-report questionnaire can capture. Sexual communication is famously awkward, ambivalent, and sometimes nonverbal, occurring through touch and gesture as much as through words. The MSC questionnaires focus on verbal communication about preferences and safer sex, and they rely on individuals’ perceptions of their own conversations, which may diverge from how partners actually behave in the moment. Moment-by-moment observational studies of couples discussing sex have shown that sexual conversations differ from ordinary ones in distinctive ways, and future work could pair the MSC measures with behavioral observation or dyadic data in which both partners report on the same conversations. Longitudinal designs would also help establish whether the dimensions identified here predict trajectories of sexual and relational satisfaction over time.

Still, the validation of the MSC-SP and MSC-SS represents a meaningful step forward for a construct that touches nearly every aspect of intimate life. By formally separating what couples communicate about from how they communicate it, and by demonstrating that both facets can be measured reliably and equitably across diverse identities, the new framework gives researchers the tools to ask finer-grained questions. Does deep disclosure about preferences buffer couples against sexual boredom in long-term relationships? Does the perceived cost of discussing condom use differ across communities in ways that explain disparities in sexual health? Can couples therapy targeting communication process improve outcomes even when the content of conversation stays the same? With validated multidimensional instruments now in hand, those questions become answerable, and the science of sexual communication becomes correspondingly more precise.