Based on the survey results, descriptive analytics are presented. Table 2 shows the general data. The sample consisted of 35% of Mexican divers studying in the USA and 65% of those studying in Mexico, with 52% male and 48% female participants.
The participants included four Olympic-level athletes, two World University Games participants, twenty-four World Cup participants, and thirty-eight divers who participated in the CONADE games, lending significant relevance to the sample.
The majority of the athletes had more than 15 years of experience in diving. Those with the highest performance and competitive levels are studying at private schools in Mexico or in the United States. All four Olympic divers who participated in the survey received scholarships from private universities in Mexico.
Table 2. Descriptive statistics for the student-divers analyzed. Source. The author.
When evaluating the performance of public universities in Mexico, it was observed that the majority of their athletes possessed between six and ten years of diving experience. Within the examined sample, only one diver competed at the World Cup level. Furthermore, only half of these athletes participated in national competitions, and only two took part in the CONADE games.
Public universities in Mexico that are equipped with diving pool facilities typically schedule training sessions for up to five hours on weekdays during the academic calendar. Consequently, divers are required to adjust their academic schedules to accommodate training sessions. Additionally, during summer or winter breaks, these athletes must seek alternative training venues to maintain their diving programmes.
The CONADE games, organized by the National Commission for Physical Culture and Sport (CONADE), represent the highest level of underage competition in Mexico and feature the top 14 divers in each category and event. In contrast, students from other public universities in Mexico have reached CONADE and even international levels.
The analysis also highlights that, generally, universities in Mexico are not focused on developing and training athletes from scratch. The UNAM population has one outlier, but typically, university athletes in Mexico come from training at different clubs and in the best cases, from a state high-performance diving center.
Approximately 94% of high-performance divers in Mexico who have reached the CONADE games or higher and are pursuing university education and attend private universities in Mexico or schools in the U.S. The remaining 6% are from state or autonomous universities in Mexico.
The data highlighted that in public universities in Mexico, the average duration to complete an undergraduate degree is five years. In the U.S., the average duration is four years, while in private universities in Mexico, the duration varies between three and four years. Additionally, according to the survey, private Mexican universities provide scholars with the option to study remotely and with flexible schedules.
Regarding public universities in the states of Mexico, few athletes have sport facilities at their school, and their training is conducted at a different location, often under agreement between the school and the training center. In particular, these training sessions outside of the university are designed to provide access to tools such as water belts and land trampolines, as well as opportunities for comparison with other divers.
In terms of administrative and sports support for athletes, UNAM, along with all U.S. schools, provides scholarship support for their student divers, which includes access to physiotherapy, sports psychological support, emergency medical services, nutritionists, and competition uniforms.
Private schools in Mexico offer academic scholarships, uniforms, and additional awards to their athletes. However, the study indicates that athletes from Mexican state public universities lack medical support, nutritionists, methodologists, and physiotherapy, but all training is deployed at high-performance centers or pools with third-party coaches.
Additionally, nearly all divers at private universities in Mexico receive monthly financial support from CONADE, ranging from USD $1,000 to $2,200 based on athletic results. In contrast, divers at public universities in Mexico, including those from UNAM, do not receive CONADE support for diving. However, a UNAM diver who meets all academic attendance and sports performance criteria may qualify for a grant of approximately USD $300 per semester, which is funded by UNAM. This grant must be proposed by the coach and is subject to administrative approval by UNAM [9]. For other public universities in Mexico, since the athletes are older than 18 years and are classified as open or first division, they receive no sports-related benefits or support as a grant.
6.1 Model analysis
For Cronbach’s Sport Performance and Dual Career Satisfaction, the values are very low, suggesting poor internal consistency within these constructs. Academic Support shows good internal consistency, whereas Sport Support is marginally acceptable, and Administrative Support is reasonably reliable.
For average variance extracted (AVE), values above 0.5 are generally acceptable, indicating that more than half of the variance in the indicators is accounted for by the construct Academic Performance despite the negative α; this AVE is acceptable, which might suggest that while the items are related, they may be influenced by the university scale, in which includes both Mexican and American schools. The Sport Performance and Dual Career Satisfaction AVE values are both below the acceptable threshold, indicating convergent validity issues. Academic support, sport support, and administrative support are acceptable for marginal AVEs, suggesting decent construct validity.
For R2, these coefficients indicate the proportion of variance in the dependent variable that is predictable from the independent variables; for Academic Performance, R2 = 0.726 indicates strong predictive power, which is surprising given the negative α and suggests that the construct, despite measurement issues, still predicts a substantial amount of variance. Sport Performance: R2 = 0.768 similarly shows strong predictive power, which contrasts with its low α and AVE, indicating potential issues in the operational definition of the construct. Dual Career Satisfaction: R2 = 0.648, moderately strong predictive power, which is reasonable but still suggests room for improvement in measurement practices.
According to the variance inflation factor (VIF) statistics results, the overall model appears to be valid with respect to multicollinearity, as most VIFs are well below the threshold of concern. These findings suggested that the predictor variables provide distinct, nonoverlapping information about the outcomes.
The heterotrait-monotrait (HTMT) ratio is a measure used in structural equation modeling to assess discriminant validity and is the extent to which constructs that are supposed to be different are indeed distinct. The Sport Support latent variable value for other constructs was well below 0.85 in many cases indicating good discriminant validity. The relationships involving Administrative Support, Dual Career Satisfaction, and Sport Performance are concerning since they may overlap. The differences in administrative and support structures between Mexican and U.S. universities could cause the constructs to capture similar yet subtly different phenomena. This might reflect in your SEM-PLS analysis as high HTMT values, indicating less discriminant validity than expected.
With respect to the path coefficients, we can observe three strong relationships among the latent constructs. The first and highest, with a coefficient of 0.749, is between Academic Performance and Sports Performance, showing a positive effect of the former on the second, inferring that being a good student translates into being a good athlete. The other relevant coefficient, 0.612, is the positive effect that Administrative Support has on Academic Performance, explaining that an athlete will exceed an academic level if the university administration grants them some kind of aid. Finally, with a coefficient of 0.589, a positive effect of Academic Support in Dual Career Satisfaction is observed; hence, to equilibrate his activities, the athlete needs help from the academic department of the university.
Although the other relationships between constructs are not strong enough to be considered significant because they have coefficients less than the threshold of 0.5, it is important to mention that they all have a positive effect, except for Sport Support and Sports Performance which even if it is close to zero, is negative. Despite the common guess that this relation means that athletes who are supported do not perform well on competitions, it actually can be interpreted that the opposite occurs: athletes exceed in competitions even though there are no specialized programs for the sport.
The variables associated with the latent constructs are mostly positive and significant, with a coefficient higher than 0.5. Starting with dual-career satisfaction, being able to effectively balance the academic and athletic responsibilities (DCS1) has the most important positive relation with the construct and it also gives sense to the academic support effect on dual-career satisfaction, on the other hand, the university (Univ) in which the athlete is enrolled has a negative effect on the construct, reaching the highest effect possible for the cases of Mexican schools. Regarding the other two variables, low stress levels (DCS2) and high levels of emotional well-being (DCS3), though they are positive indicating that they promote the satisfaction of the athlete, however, the coefficients of both are not high enough to be considered significant.
In the Academic Support construct all three associated variables are significant. Both flexible class schedules (Acad1) and academic assistance in schedule managing (Acad3) are considered vital for the athletes in their academic support because they have a coefficient close to one, moreover, the existence of remote classes (Acad3) is important with a coefficient of 0.5.
Administrative Support is another one of the constructs for which all its associated variables are significant. Having administrative guidance (Admin1) and receiving a scholarship for training and equipment (Admin3) are variables highly regarded by athletes, as the coefficients are close to 0.9. A scholarship dedicated to nutrition (Admin2) is also important for athletes but at a lower magnitude as its value is just above the 0.5 threshold.
Associated with the Sports Support construct there are five variables, 4 of which are significant, and one is marginally significant. Having clear policies to promote high-performance athletes (Sport1) and suitable training programs (Sport3) are the strongest variables, with coefficients close to 0.9; having a specialized coach (Sport2) is also considered important, as it bears a coefficient close to 0.6. On the other hand, training outside of university facilities (Sport5) has a negative impact on the construct; this is natural because if the athlete does not train in university facilities implies a low support for the sport, this variable is also associated with the case in which the athlete trains within university facilities (Sport4), which is marginally significant with a coefficient of 0.486.
The Academic Performance construct is determined by two main variables: a positive effect of the academic support provided by the university (AcadPerf2), which also explains the relationship with the Administrative Support construct; and a negative effect caused by the university (Univ) which infers that Mexican universities have a negative impact on the academic performance of athletes due to their high academic demand and limited onsite training hours. The variable maintaining regular progress in an academic program (AcadPerf1) has marginal significance, with a value close to 0.5.
Finally, the Sports Performance construct also has two significant variables: being satisfied with the overall experience (SportPerf2) and being satisfied with the university (Univ). The former variable has a positive effect, but the variable associated with the university is shown to have, again, a negative effect on the construct. A nonsignificant effect was observed for individuals with a diving coach with bachelor’s degree (SportPerf1) and for whom the sports authorities of the university were concerned about the well-being of the athlete (SportPerf3).