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Article

Motivational Orientation in University Athletes: Predictions Based on Emotional Intelligence

by
Isabel Mercader-Rubio
1,
Nieves Gutiérrez Ángel
1,*,
Antonio Granero-Gallegos
2,
Nieves Fátima Oropesa Ruiz
1,* and
Pilar Sánchez-López
1
1
Department of Psychology, Faculty of Education Sciences, Universidad de Almería, La Cañada, 04120 Almería, Spain
2
Deparment of Education, Faculty of Education Sciences, Universidad de Almería, La Cañada, 04120 Almería, Spain
*
Authors to whom correspondence should be addressed.
Behav. Sci. 2022, 12(10), 397; https://doi.org/10.3390/bs12100397
Submission received: 30 September 2022 / Revised: 14 October 2022 / Accepted: 14 October 2022 / Published: 17 October 2022

Abstract

:
While in task orientation, athletes tend to compare themselves to others in order to evaluate their success, in ego orientation athletes have the ability to distinguish between effort and ability and the comparison is made with others in order to evaluate success. The purpose of this study was to inspect the relationship concerning the three dimensions of emotional intelligence (attention, clarity, and emotional regulation) and the two predominant motivational orientations: task-oriented motivation and ego-oriented motivation. The sample was composed of a total of 165 university students from studies within the field of sciences related to sport and physical activity. The main contributions of this research demonstrate the correspondence between emotional intelligence and ego-orientation.

1. Introduction

Currently, the analysis of the influence of motivation in sport has been approached by adopting two main theoretical contributions: the achievement goal theory [1] and the self-determination theory [2,3]. In the scientific literature one can find various review papers on achievement goal theory [4] and on self-determination theory [5,6,7].
This research addressed the theoretical contributions of achievement goal theory, from which people act in different contexts motivated by the need to demonstrate their competence. Additionally, it is one of the most widely used theoretical models in the understanding of different variables: cognitive, emotional, and behavioral, all of them related to the achievement of athletes and physical education students [8,9]. According to this theory [10], in achievement contexts, there are two predominant motivational orientations: one task-oriented and the other ego-oriented. Thus, when a student presents a task orientation, they directs their learning objective and conceptualize their own ability level in a circular way, while when it corresponds to the egocentric, the purpose is based on competitiveness and one might conceptualize their skills based on the comparison established with the rest of their environment [1].
Achievement goal theory [11] suggests that people perform different actions based on different expectations and values that they consider necessary to achieve success. These goals may be task-oriented, when they are oriented towards the performance and mastery of a skill, or ego-oriented, when they are oriented towards comparison with others, achieving rewards, avoiding punishment, or complying with external norms [12,13]. It has been shown that the theoretical contribution corresponding to the achievement objectives in the field of sports practice has achieved positive results at a cognitive, behavioral, and emotional level based on student performance [14,15,16].
It is the contributions of the Social Cognitive Theory of Goal Perspectives [1,17] that explain, analyze, and clarify the influence of environmental factors affecting athletes’ achievement motivation. Thus, it is the subject’s own perception that makes the motivational orientation ego-oriented or task-oriented [1,18]. The adoption of one or the other criterion (ego/task) will lead to affective, cognitive, and behavioral consequences, as it is determined by personal characteristics and social and situational aspects [19]. The construct called emotional intelligence refers to the ability of a subject to deal with the emotional communication that they obtain from their environment. Therefore, according to various authors, emotionally intelligent people are those capable of attending to the emotions perceived in their immediate environment, discerning their origin and consequences, and performing optimally in terms of being able to have the ability to regulate the emotional state that provokes them [20,21,22].
Emotional intelligence [23] is defined as “a meta-skill that determines the degree of skill that we can achieve in mastering our other faculties” (p. 68), which means that the subject is capable of recognizing both their own emotions and those of others, manage them, and finally establish relationships [24]. In general terms, emotions involve changes in feelings, cognitions, and behaviors that regulate students’ actions [25,26,27,28]. Therefore, we could highlight that motivation is the necessary impulse to act that occurs as a result of experiencing these emotions, which has been the focus of the scientific community’s interest in recent times [29]. This construct influences students’ cognitive processes and learning strategies as well as their future attitudes towards learning. As a consequence, these high levels of emotional intelligence in athletes [30] help both to lower anxiety and stress levels, throughout the competition process, and to improve sporting and academic performance, and even with life satisfaction [31,32,33,34,35]. Based on the literature reviewed, the aim of this research was to examine the relationship between the three dimensions of emotional intelligence (attention, clarity, and emotional regulation) and the two predominant motivational orientations in university students: task-oriented motivation and ego-oriented motivation.

2. Materials and Methods

The methodology corresponds to an investigation that is framed within the so-called retrospective studies, in which the dimensions of emotional intelligence (attention, clarity, and regulation) are confronted with other types of variables, in this case with task-oriented motivation to and ego-oriented motivation. Therefore, it is a retrospective design.

2.1. Participants

The sample as a whole was made up of 165 university students who are currently pursuing official undergraduate and postgraduate studies in sports sciences and physical activity. The mean age is 20.33 years, with a standard deviation SD = 3.44. Regarding gender, 70.9% (N = 117) were men and 27.9% (N = 46) women.

2.2. Instruments

The first instrument used was the Trait Meta-Mood Scale (TMMS-24) [36] to measure self-perceived emotional capacity. This instrument, through 24 items, assesses each of the dimensions of emotional intelligence on a Likert-type scale (1–5). The psychometric properties of this instrument are adequate in terms of reliability (Cronbach’s alpha), perception (α = 0.90), clarity (α = 0.90), regulation (α = 0.86) and adequate test–retest reliability, perception = 0.60, understanding = 0.70, and regulation = 0.83 [35]. Specifically for this research, Cronbach’s alpha scores = 0.84 were obtained.
The second instrument used is the Perception of Success Questionnaire (POSQ) [37,38], in its Spanish version [39], adapted to physical education [40]. This instrument consists of 12 items and assesses both goal orientation and task orientation on a Likert-type scale (1–10) [41]. The psychometric properties of this instrument are adequate in terms of reliability (Cronbach’s alpha) for items related to task orientation Cronbach’s alpha = 0.80, and for ego orientation Cronbach’s alpha = 0.79. These are similar results to other recent research that has applied the same instrument, which obtained a Cronbach’s alpha = 0.80 for task orientation, and a Cronbach’s alpha = 0.84 for ego orientation [42,43].

2.3. Data Analysis

The first data analysis performed corresponds to the descriptive statistics. In this first moment, statistical tests related to the mean, standard deviation, and bivariate correlations were carried out. In a second moment, the reliability index was analyzed and after that, structural equation modeling (SEM) was carried out to test the relationships established in the hypothesized model. Within the structural equation models (SEM), the Jöreskog test was performed in order to determine the covariance structure [44,45] of a multicausal indicator: Multiple Indicators Multiple Causes Model (MIMIC).
To accept or reject this model, the following indices were taken into account [46]: TLI (Tucker–Lewis index), SRMR (standardized mean squared residual), and RMSEA (mean squared error of approximation). Thus, the appropriate indices are: TLI value above 0.95; SRMR values below 0.06; and RMSEA values below 0.08. These analyses were performed with the statistical analysis software SPSS version 26 and R (lavvan, New York, NY, USA).

3. Results

Table 1 shows the relationships between each of the dimensions of emotional intelligence: emotional attention, emotional clarity, and emotional regulation (AE/CE/RE) and their relationship with task-oriented motivation (O TAREA) and ego-oriented motivation (O EGO). The following table (Table 1) shows the scores obtained between the study variables, which were positively and reciprocally correlated.
Table 1 shows the relationships between each of the dimensions of emotional intelligence (AE/CE/RE) and their relationship with task-oriented motivation (O TAREA) and ego-oriented motivation (O EGO).

Structural Equation Model

The hypothetical model of predictive relationships (Figure 1) shows the following indices:
-
Overall fit indices (evaluate the model overall) and are adequate: p < 0.001, RMSEA = 0.00, GFI = 0.99.
-
Incremental or comparative fit indices (compare the proposed model with the model of independence or absence of relationship between the variables): NNFI= 1.095; TLI = 0.963; CFI = 1; IFI = 1.02.
-
Parsimony indices (assessing the quality of the model fit in terms of the number of coefficients estimated to achieve that level of fit): AGFI = 0.97.
The results obtained from the structural equation model allow us to establish the following relationships
-
There is a positive and direct relationship between emotional intelligence and ego orientation (= 0.048, p < 0.001). This allows us to affirm that emotional intelligence is a variable that predicts ego motivation.
-
There is a relationship that is neither direct nor positive between emotional intelligence and task orientation.
-
Therefore, based on these results, we can affirm that emotional intelligence is a predictor of ego-motivation.
As can be verified, the results obtained indicate the existence of a direct and positive relationship between emotional intelligence, and each of its three dimensions that it is made up of, with the motivation of the ego: that is, with the fact that a subject performs a sport comparing themselves with the rest, and closely related to obtaining success in the sports field. Therefore, emotional intelligence in these results appears positively and directly correlated with the athlete’s consideration of practicing sports as a social character trait, a key element for obtaining social status.
On the other hand, the results obtained indicate that the same does not occur in the case of emotional intelligence and task motivation. That is, according to the model presented, there would not be a positive and direct relationship between emotional intelligence and that type of motivation that has its ultimate goal in learning and enjoyment itself.

4. Discussion

The aim of this research was to analyze the achievement goal theory [1], ego motivation, and task motivation, and their possible links with emotional intelligence and its dimensions: attention, clarity, and emotional regulation. The most substantial findings of this research indicate that there is a relationship between emotional intelligence and ego motivation, understood as that in which the sportsperson performs an action and compares themselves with other people. It is closely linked to the belief that sporting success is achieved by obtaining greater skills than others, and to the consideration of sport as a sign of social status with respect to others, and to a lesser enjoyment of sport [39,40]. That is, from this point of view, success is seen as similar to overcoming rivals [47,48], so many authors consider that a motivational climate related to the ego measures its success through comparison, and not learning [49], being highly concerned with the demonstration of it to others [50].
However, it is also true that other research carried out in the field of sport has highlighted the existence of a direct and positive correspondence between physical self-concept and ego orientation [51]. A plausible explanation for the high levels of ego-orientation in athletes is offered by ref. [52] wherein the authors indicate that factors such as constant evaluation tests, excessive obsession with performance and results, external rewards, or public recognition may explain this fact. On an emotional level, this type of orientation corresponds to high levels of anxiety, hard play, and non-promotion of fair play [53,54].
It should also be noted that different studies that have highlighted the fact that task orientation has high levels in sport contexts that are highly related to competition or professional training [55,56]. In short, both task orientation and ego-orientation allow us to distinguish goals, interests, and emotions related to both success and failure and the incidence of contextual factors in athletes [57,58]. However, we must be cautious with these results obtained due to the number of participants who collaborated with this research. Therefore, we consider that it would be fruitful to reproduce this research with a larger sample size to verify these findings, as this is one of the current limitations of the work.

5. Conclusions

The main conclusions reached by this research are as follows:
-
There is a direct and positive relationship between emotional intelligence and motivation towards the ego.
-
Such a direct and positive relationship does not occur in the case of the relationship established between emotional intelligence and task orientation
-
It is valuable to continue research in this field of study, as well as to determine the possible contextual variables that may be influencing such results.
Future investigations will take as thematic lines the analysis of the influence on these results of the sport practiced, or the number of hours dedicated to it. At the same time, they will also intend to analyze whether the degree of improvement or professionalization of the practiced sport influences such results.

Author Contributions

Conceptualization, I.M.-R., N.G.Á., A.G.-G., N.F.O.R. and P.S.-L.; methodology, I.M.-R. and N.G.Á.; software, N.G.Á. and P.S.-L.; validation, I.M.-R. and N.F.O.R.; formal analysis, N.G.Á.; investigation, A.G.-G.; resources, I.M.-R. and N.G.Á.; data curation, I.M.-R. and N.G.Á.; writing—original draft preparation, N.G.Á.; writing—review and editing, I.M.-R.; visualization, I.M.-R., N.G.Á., A.G.-G., N.F.O.R. and P.S.-L.; supervision, I.M.-R., N.G.Á., A.G.-G., N.F.O.R. and P.S.-L.; project administration, I.M.-R. and N.G.Á. All authors have read and agreed to the published version of the manuscript.

Funding

Not applicable.

Institutional Review Board Statement

UALBIO2022/035.

Informed Consent Statement

Informed consent was obtained from all subjects involved in the study.

Data Availability Statement

Not applicable.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Nicholls, G. The Competitive and Democratic Education; Harvard University Press: Cambridge, MA, USA, 1989. [Google Scholar]
  2. Deci, E.L.; Ryan, R.M. The general causality orientations scale: Self-determination in personality. J. Res. Personal. 1985, 19, 109–134. [Google Scholar] [CrossRef]
  3. Ryan, R.M.; Deci, E.L. Self-determination theory and the facilitation of intrinsic motivation, social development and well-being. Am. Psychol. 2000, 55, 68–78. [Google Scholar] [CrossRef] [PubMed]
  4. Braithwaite, R.; Spray, C.M.; Warburton, V.E. Motivational climate interventions in physical education: A meta-analysis. Psychol. Sport Exerc. 2011, 12, 628–638. [Google Scholar] [CrossRef] [Green Version]
  5. Curran, T.; Standage, M. Psychological Needs and the Quality of Student Engagement in Physical Education: Teachers as Key Facilitators. J. Teach. Phys. Educ. 2017, 36, 262–276. [Google Scholar] [CrossRef]
  6. Sun, H.; Li, W.; Shen, B. Learning in Physical Education: A Self-Determination Theory Perspective. J. Teach. Phys. Educ. 2017, 36, 277–291. [Google Scholar] [CrossRef]
  7. Van den Berghe, L.; Vansteenkiste, M.; Cardon, G.; Kirk, D.; Haerens, L. Research on self-determination in physical education: Key findings and proposals for future research. Phys. Educ. Sport Pedagog. 2014, 19, 97–121. [Google Scholar] [CrossRef]
  8. Ortiz, S.M.; López-Walle, J.M. Climas motivacionales, necesidades psicológicas básicas y motivación en deportistas de una institución privada. Sinéctica 2022, 59, e1402. [Google Scholar] [CrossRef]
  9. Galeano-Terán, A. Estudio documental de la motivación en Educación Física: Análisis de su evolución. Rev. Cognosis 2021, 6, 71–92. [Google Scholar] [CrossRef]
  10. Sánchez, D.M. Differences between psychological aspects in Primary Education and Secondary Education. Motivation, Basic Psychological Needs, Responsibility, Classroom Climate, Prosocial and Antisocial behaviors and Violence. Espiral. Cuad. Del Profr. 2021, 14, 9–18. [Google Scholar] [CrossRef]
  11. Duda, J.L.; Nicholls, J.G. Dimensions of achievement motivation in schoolwork and sport. J. Educ. Psychol. 1992, 84, 290–299. [Google Scholar] [CrossRef]
  12. García-Mas, A.; Gimeno, F. La Teoría de Orientación de Metas y la enseñanza de la Educación Física: Consideraciones prácticas. Rev. Latinoam. De Psicol. 2008, 40, 511–522. [Google Scholar]
  13. Datu, J.A.D.; Valdez, J.P.M.; Yang, W. La vida comprometida académicamente de los estudiantes orientados al dominio: Orden causal entre emociones positivas, metas de dominio y compromiso académico. Rev. De Psicodidáctica 2022, 27, 1–8. [Google Scholar] [CrossRef]
  14. Fenton, S.A.; Duda, J.L.; Barrett, T. Optimización de la participación en la actividad física durante el deporte juvenil: Un enfoque de la teoría de la autodeterminación. Rev. De Cienc. Del Deporte 2016, 34, 1874–1884. [Google Scholar] [CrossRef]
  15. Massar, K.; Malmberg, R. Una exploración de la transferencia de la autoeficacia: La autoeficacia académica predice la autoeficacia nutritiva y del ejercicio físico. Rev. De Psicol. Soc. 2017, 32, 108–135. [Google Scholar] [CrossRef] [Green Version]
  16. Owen, K.B.; Smith, J.; Lubans, D.R.; Ng, J.; Lonsdale, C. Self-determined motivation and physical activity in children and adolescents: A systematic review and meta-analysis. Prev. Med. 2014, 67, 270–279. [Google Scholar] [CrossRef]
  17. Ames, C. Achievement goals, motivational climate, and motivational processes. In Motivation in Sport and Exercise; Roberts, G.C., Ed.; Human Kinetics: Champaign, IL, USA, 1992; pp. 161–176. [Google Scholar]
  18. Cervelló, E.M.; Santos-Rosa, F.J. Motivation in Sport and achievement goal perspective in young spanish recreational athletes. Percept. Mot. Ski. 2001, 92, 527–534. [Google Scholar] [CrossRef]
  19. Young, M.L.; Sandoval, J.C.A.; Medina, O.E.M.; Ceballos, J.J.M. Motivación en la práctica de Educación Física, en adolescentes que cursan el nivel Medio Superior. Rev. Metrop. De Cienc. Apl. 2021, 4, 260–267. [Google Scholar]
  20. García-Pascual, F.; González-García, R.; Pérez-Campos, C. Análisis sobre la inteligencia emocional en el alumnado de Educación Física en la etapa secundaria. Rev. De Investig. En Psicol. Social 2022, 9, 5–14. [Google Scholar]
  21. Mayer, J.D.; Salovey, P. What is emotional intelligence. In Emotional Development and Emotional Intelligence: Implications for Educators; Salovey, P., Sluyter, D., Eds.; Basic Books: New York, NY, USA, 1997. [Google Scholar]
  22. Mayer, J.D.; Salovey, P.; Caruso, D.R. Models of emotional intelligence. In Handbook of Intelligence; Sternberg, R.J., Ed.; Cambridge University Press: Cambridge, UK, 2000; pp. 396–420. [Google Scholar]
  23. Peña, M.; Rey, L.; Extremera, N. Satisfacción vital y compromiso en educadores de primaria y primaria: Diferencias en inteligencia emocional y género. Rev. De Psicodidáctica 2012, 17, 341–360. [Google Scholar]
  24. Goleman, D. Inteligencia Emocional; Kairós: Barcelona, Spain, 1995. [Google Scholar]
  25. Torres, C.B.; Buñuel, P.S.L. Emociones en Educación Física: Una revisión bibliográfica (2015–2017). Retos Nuevas Tend. En Educ. Física Deporte Y Recreación 2019, 36, 597–603. [Google Scholar]
  26. Bruña, I.M.; Almagro, B.J.; Paramio-Pérez, G. El desarrollo de la educación emocional a través de la Educación Física escolar. E-Motion Rev. De Educ. Mot. E Investig. 2015, 5, 69–96. [Google Scholar] [CrossRef]
  27. Gil Madrona, P.; Martínez López, M. Emociones percibidas, por alumnos y maestros, en Educación Física en 6.°curso de primaria. Educ. XX1 Rev. De La Fac. De Educ. 2016, 19, 179–204. [Google Scholar] [CrossRef]
  28. Solé, J.N.; Lavega-Burgués, P.; Buñuel, P.S.L. La educación de las emociones a través de la educación física. EmásF Rev. Digit. De Educ. Física 2021, 12, 72. [Google Scholar]
  29. Suero, S.F.; Almagro, B.J.; Buñuel, P.S.L. Necesidades psicológicas, motivación e inteligencia emocional en Educación Física. Rev. Electrónica Interuniv. De Form. Del Profr. 2019, 22, 2. [Google Scholar] [CrossRef]
  30. Ibáñez, D.Á.; Hawrylak, M.F. Impacto emocional de la actividad física: Emociones asociadas a la actividad física competitiva y no competitiva en educación primaria. Retos Nuevas Tend. En Educ. Física Deporte Y Recreación 2022, 45, 290–294. [Google Scholar]
  31. Rochín, D.M.; Berrueto, A.C. Estado de la investigación sobre inteligencia emocional y rendimiento deportivo. Rev. De Cienc. Del Ejerc. FOD 2022, 17, 1. [Google Scholar] [CrossRef]
  32. Ramos, V.H.D.; Mancha-Triguero, D.; Godoy, S.J.I.; Buñuel, P.S.L. Motivación, inteligencia emocional y carga de entrenamiento en función del sexo y categoría en baloncesto en edades escolares. Cuad. De Psicol. Del Deporte 2022, 22, 15–32. [Google Scholar] [CrossRef]
  33. Rodríguez González, P.; Cecchini Estrada, J.A.; Méndez Giménez, A.; Sánchez Martínez, B. Motivación intrínseca, inteligencia emocional y autorregulación del aprendizaje: Un análisis multinivel. Rev. Int. De Med. Y Cienc. De La Act. Física Y Del Deporte 2021, 21, 235–252. [Google Scholar] [CrossRef]
  34. Barwick, G.S.C.; Poyatos, M.C.; Fernández, J.D.M. Emotional intelligence and satisfaction with life in schoolchildren during times of pandemic. Espiral. Cuad. Del Profr. 2022, 15, 57–70. [Google Scholar] [CrossRef]
  35. Suárez, C.I.; Jiménez, M.D.L.V.M. Rendimiento deportivo en atletas federados y su relación con autoestima, motivación e inteligencia emocional. Rev. De Psicol. Apl. Al Deporte Y Al Ejerc. Físico 2021, 6, 1–13. [Google Scholar] [CrossRef]
  36. Fernández-Berrocal, P.; Extremera, N.; Ramos, N. Validity and reliability of the Spanish modified version of the Trait Meta-Mood Scale. Psychol. Rep. 2004, 94, 751–755. [Google Scholar] [CrossRef] [PubMed]
  37. Extremera, N.; Fernández, P. ¿Es la inteligencia emocional un adecuado predictor del rendimiento académico en estudiantes? In Proceedings of the III Jornadas de Innovación Pedagógica: Inteligencia Emocional, Una Brújula Para el Siglo XXI, Granada, Spain; 2011; pp. 146–157. [Google Scholar]
  38. Roberts, G.C.; Balagué, G. The Development and Validation of the Perception of Success Questionnaire. In Proceedings of the European Federation of Sport Psychology Congress, Cologne, Germany; 1991. [Google Scholar]
  39. Roberts, G.C.; Treasure, D.C.; Balagué, G. Achievement goals in sport: The development and validation of the Perception of Success Questionnaire. J. Sport Sci. 1998, 16, 337–347. [Google Scholar] [CrossRef] [PubMed]
  40. Cervelló Gimeno, E.; Escartí, A.; Balagué Gea, G. Relaciones entre la orientación de meta disposicional y la satisfacción con los resultados deportivos, las creencias sobre las causas de éxito en deporte y la diversión con la práctica. Rev. De Psicol. Del Deporte 1999, 8, 7–19. [Google Scholar]
  41. Granero-Gallegos, A.; Baena-Extremera, A.; Gomez-Lopez, M.; Abraldes, J.A. Estudio psicométrico y predicción de la importancia de la Educación Física a partir de las orientaciones de meta (“Perception of Success Questionnaire-POSQ”). Psicol. Reflexão E Crítica 2014, 27, 443–451. [Google Scholar] [CrossRef] [Green Version]
  42. Papí Monzó, M.; García Martínez, S.; García-Jaén, M.; Ferriz Valero, A. Orientaciones de meta y necesidades psicológicas básicas en el desarrollo de la Expresión Corporal en educación primaria: Un estudio piloto. Retos Nuevas Tend. En Educ. Física Deporte Y Recreación 2021, 42, 256–265. [Google Scholar] [CrossRef]
  43. Sánchez, M.; Sánchez-Sánchez, J.; Carcedo, R.J.; García, J.A. Climate, Orientation and Fun in Under-12 Soccer Players. Rev. Int. De Med. Y Cienc. De La Act. Física Y El Deporte 2022, 20, 507–520. [Google Scholar] [CrossRef]
  44. Jöreskog, K.G. A general method for analysis of covariance structures. Biometrika 1970, 57, 239–251. [Google Scholar] [CrossRef]
  45. Jöreskog, K.G. Identification and estimation in path analysis with unmeasured variables. Am. J. Sociol. 1973, 78, 1469–1484. [Google Scholar]
  46. Hu, L.T.; Bentler, P.M. Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Struct. Equ. Model. A Multidiscip. J. 1999, 6, 1–55. [Google Scholar] [CrossRef]
  47. Cáceres-Alvarado, L.; Nieto-Gutiérrez, J. Desarrollo de un cuestionario tridimensional de metas de logro en deportes de conjunto. J. Behav. Health Soc. Issues 2013, 5, 41–53. [Google Scholar] [CrossRef]
  48. Cervelló Gimeno, E.; Martínez Galindo, C.; Ferriz Morell, R.; Moreno Murcia, J.A.; Moya Ramón, M. El papel del clima motivacional, la relación con los demás, y la orientación de metas en la predicción del” flow” disposicional en Educación Física. Rev. De Psicol. Del Deporte 2011, 20, 0165–0178. [Google Scholar]
  49. Biddle, S.; Cury, F.; Goudas, M.; Sarrazin, P.; Famose, J.P.; Durand, M. Development of scales to measure perceived physical education class climate: A cross-national project. Br. J. Educ. Psychol. 1995, 65, 341–358. [Google Scholar] [CrossRef]
  50. Cervelló, E.; Santos-Rosa, R. Un estudio exploratorio de los factores personales y situacionales relacionados con la ansiedad precompetitiva en tenistas de competición. Área de Psicología del Deporte y Control Motor – Rendimiento Deportivo. 2000, pp. 305–313. Available online: https://www.cienciadeporte.com/images/congresos/caceres/Rendimiento_deportivo/psicologia_deporte/1ansiedad.pdf (accessed on 13 October 2022).
  51. De Mesa, C.G.G.; Estrada, J.A.C.; Fernández, A.L.; González, A.V. Influencia del entorno social y el clima motivacional en el autoconcepto de las futbolistas asturianas. Aula Abierta 2010, 38, 25–36. [Google Scholar]
  52. Navas, L.; Soriano, J.; Holgado, F.; López, M. Las orientaciones de meta de los estudiantes y los deportistas: Perfiles motivacionales. Acción Psicológica 2012, 6, 17–29. [Google Scholar] [CrossRef]
  53. Cecchini, J.A.; González, C.; López, J.; Brustad, R.J. Relación del clima motivacional percibido con la orientación de meta, la motivación intrínseca y las opiniones y conductas de fair play. Rev. Mex. De Psicol. 2005, 22, 469–479. [Google Scholar]
  54. De Cabo, S.; Carriedo, A.; González, C. Actitudes de Fair Play durante la práctica de fútbol en alumnado de Educación Primaria. J. Sport Health Res. 2022, 14, 269–280. [Google Scholar]
  55. Cecchini, J.A.; González, C.; Montero, J. Participación en el deporte y fair play. Psicothema 2007, 19, 57–64. [Google Scholar]
  56. Van de Pol, P.K.; Kavussanu, M. Achievement goals and motivational responses in tennis: Does the context matter? Psychol. Sport Exerc. 2011, 12, 176–183. [Google Scholar] [CrossRef] [Green Version]
  57. Amoroso, J.; Antunes, R.; Valente-dos-Santos, J.; Furtado, G.; Rebelo-Gonçalves, R. Dispositional Orientations in Competitive Ultimate Frisbee Athletes. Cuad. De Psicol. Del Deporte 2022, 22, 282–293. [Google Scholar] [CrossRef]
  58. Domínguez Borreguero, R. Perfil Motivacional y de Flow Disposicional de Jugadores Cadetes de Clubes Profesionales de Fútbol de Andalucía. Ph.D. Thesis, Universidad de Sevilla, Sevilla, Spain, 2013. [Google Scholar]
Figure 1. Representation of the results of the structural equation model: MIMIC.
Figure 1. Representation of the results of the structural equation model: MIMIC.
Behavsci 12 00397 g001
Table 1. Data obtained from the correlations carried out as preliminary analyses.
Table 1. Data obtained from the correlations carried out as preliminary analyses.
1 OTAREA2 O EGO3 AE4 CE5 RE
1. O TAREA 0.1290.160 *−0.043−0.070
2. O EGO −0.004−0.0690.020
4. AE 0.1270.263 **
5. CE 0.508 **
6. RE
Note. * p < 0.05; ** p < 0.01.
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MDPI and ACS Style

Mercader-Rubio, I.; Ángel, N.G.; Granero-Gallegos, A.; Ruiz, N.F.O.; Sánchez-López, P. Motivational Orientation in University Athletes: Predictions Based on Emotional Intelligence. Behav. Sci. 2022, 12, 397. https://doi.org/10.3390/bs12100397

AMA Style

Mercader-Rubio I, Ángel NG, Granero-Gallegos A, Ruiz NFO, Sánchez-López P. Motivational Orientation in University Athletes: Predictions Based on Emotional Intelligence. Behavioral Sciences. 2022; 12(10):397. https://doi.org/10.3390/bs12100397

Chicago/Turabian Style

Mercader-Rubio, Isabel, Nieves Gutiérrez Ángel, Antonio Granero-Gallegos, Nieves Fátima Oropesa Ruiz, and Pilar Sánchez-López. 2022. "Motivational Orientation in University Athletes: Predictions Based on Emotional Intelligence" Behavioral Sciences 12, no. 10: 397. https://doi.org/10.3390/bs12100397

APA Style

Mercader-Rubio, I., Ángel, N. G., Granero-Gallegos, A., Ruiz, N. F. O., & Sánchez-López, P. (2022). Motivational Orientation in University Athletes: Predictions Based on Emotional Intelligence. Behavioral Sciences, 12(10), 397. https://doi.org/10.3390/bs12100397

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