Nine Questions to Read an Athlete’s Mind: New Chinese Sport Emotion Test Validated

Elite sport has always been an emotional laboratory. The surge before a starting gun, the simmer of a disputed call, the quiet satisfaction of a training block that finally clicks: these states shape performance as surely as strength or tactics. Yet measuring them reliably across cultures has long been one of sport psychology’s stubborn problems. A research team based in Shanghai has now tackled that problem head-on, rebuilding one of the field’s standard instruments from the ground up for Chinese professional athletes and trimming it down to a remarkably lean nine-item scale that can be deployed in the daily grind of competitive sport.

The instrument in question is the Sport Emotion Questionnaire, or SEQ, a widely used self-report tool originally developed to capture the pre-competitive emotional landscape of athletes. The original version probes five emotional domains, but its wording and assumptions were shaped in a Western sporting context. Emotions do not translate cleanly. The way a Chinese athlete describes and even experiences competitive tension may differ in idiom, intensity, and social acceptability from the way the original scale expects emotions to be expressed. A questionnaire that misses those nuances produces numbers that look precise but mean less than they should, and for coaches trying to monitor athletes week after week, that gap matters.

The team, led by Chenhao Tan of Shanghai Normal University and the Shanghai Research Institute of Sports Science, together with colleagues including corresponding author Wei Liu, began with a careful cultural and linguistic adaptation. They translated the original item pool and then subjected it to review, supplementing it with emotion expressions contributed by experienced professional athletes themselves. That step is easy to overlook but crucial: athletes often describe their inner states in language that psychometricians would never invent, and grounding the scale in that lived vocabulary gives it ecological validity from the start. From this process, using classification data from 122 professional athletes, the researchers assembled a preliminary 41-item version of what they call the Sport Emotion Questionnaire for Chinese Professional Athletes, or SEQ-CPA, initially representing the five original emotional domains.

Then came the statistical winnowing. The team split their validation work across independent samples: an exploratory factor analysis with 320 athletes, followed by a confirmatory factor analysis with a separate 249. Exploratory factor analysis essentially asks which items cluster together when athletes answer them, letting the data reveal the underlying emotional structure rather than imposing one. Confirmatory factor analysis then tests whether that discovered structure holds in a fresh group of participants, a stricter and more honest test. The verdict was clear: rather than five dimensions, the data supported three. Chinese professional athletes’ competitive emotions, as measured by this instrument, organize into anxiety, happiness, and anger.

With the structure settled, the researchers turned to an unusual ally for item reduction: ant colony optimization, a computational algorithm inspired by the way real ant colonies find efficient paths to food. In this context, the algorithm evaluates combinations of items, searching for the subset that best preserves the scale’s psychometric properties while minimizing redundancy. The result is striking in its economy. From 41 preliminary items, the final SEQ-CPA retains just nine, three per dimension. A nine-item questionnaire can be completed in well under a minute, which is precisely what routine monitoring demands. Long batteries of questions fatigue athletes and invite careless responding; a tool this short can be administered before training sessions, after matches, or across an entire season without becoming a burden.

Short is only useful if it is also sound, and here the validation work was thorough. The nine-item model showed good fit across the independent samples, and the researchers tested measurement invariance, the question of whether the scale functions the same way in different groups. Using multi-group confirmatory factor analysis, they found strict invariance across gender, meaning male and female athletes interpret and respond to the items in equivalent ways, and scalar invariance across sport type, comparing athletes in individual sports with those in team sports. That latter finding is practically important: coaches and researchers can meaningfully compare anxiety or anger scores between a swimmer and a basketball player without worrying that the instrument itself is distorting the comparison. Internal consistency, the degree to which items within each dimension hang together, was satisfactory across the board.

Validity was then examined against a constellation of external measures spanning 527 athlete observations. The three SEQ-CPA dimensions were checked against other established emotion instruments, including the Profile of Mood States, the Positive and Negative Affect Schedule, and the Competitive State Anxiety Inventory-2, as well as the Athletic Mental Energy Scale, the Athlete Psychological Strain Questionnaire, and the Mental Health Continuum-Short Form, which taps psychological well-being. The pattern of relationships was differentiated rather than uniform: anxiety, happiness, and anger each connected to mental energy, strain, and well-being in distinct ways. That differentiation is exactly what a good emotion measure should show. If all three dimensions correlated identically with everything, the scale would essentially be measuring generic distress rather than specific, interpretable emotional states.

Perhaps the most intriguing analytical layer comes from latent profile analysis, a technique that shifts the question from how much of each emotion athletes report to what combinations of emotions they exhibit. Rather than treating anxiety, happiness, and anger as separate dials, profile analysis asks whether athletes fall into recognizable emotional types. Conducted on the combined sample of 569 athletes, the analysis revealed four profiles. One group was characterized by happiness, another by anxiety, a third by a broadly negative state combining unpleasant emotions, and a fourth, labeled the submerged profile, by low scores across the emotional spectrum. Critically, these profiles carried real-world weight: psychological strain was lowest in the happiness profile and highest in the negative state profile. For practitioners, this suggests that reading the three dimensions together, as a pattern, may flag athletes at risk of strain more effectively than any single score in isolation.

The implications ripple outward from the laboratory. Professional sport in China operates under intense competitive pressure, and athlete mental health has become a growing institutional concern, reflected in the study’s funding from the Science and Technology Commission of Shanghai Municipality and the Shanghai Oriental Talent Program. A brief, validated, culturally grounded emotion measure gives sports scientists and support staff a practical instrument for the kind of longitudinal monitoring that catches problems early, rather than reacting after performance collapses or wellbeing deteriorates. The work, published open access in BMC Psychology, also contributes methodologically, demonstrating how classical psychometric validation can be paired with optimization algorithms and person-centered profile analysis to produce tools that are simultaneously shorter, more rigorous, and more informative than their predecessors. For a field that has long relied on instruments borrowed across languages and contexts, the SEQ-CPA offers a template: start with the athletes’ own words, let the data dictate the structure, compress ruthlessly, and then prove that the result works the same way for everyone it touches.

Subject of Research: Cultural adaptation and psychometric validation of a sport emotion questionnaire for Chinese professional athletes

Article Title: Revision and validation of the sport emotion questionnaire for Chinese professional athletes

Article References: Revision and validation of the sport emotion questionnaire for Chinese professional athletes. (n.d.). https://doi.org/10.1186/s40359-026-05786-7

Image Credits: AI Generated

DOI: 10.1186/s40359-026-05786-7

Keywords: sport psychology, emotion measurement, questionnaire validation, psychometrics, professional athletes, latent profile analysis, anxiety, measurement invariance, ant colony optimization, mental health, competitive sport, BMC Psychology