1Nha Trang University, Vietnam and
2An Giang University, Vietnam
3Vietnam National University, Ho Chi Minh City, Vietnam
Corresponding author email: thuchus@gmail.com
Article Publishing History
Received: 13/07/2020
Accepted After Revision: 24/09/2020
Social factors are positively associated with social awareness related to physical activity. Participation in physical activity is linked to positive health outcomes and deliberate exercise in physical education and sports that improves mental health. This study presents a structural equation model (SEM) to evaluate the variables that most effect social awareness; empathy and compassion. The present study has used a representative sample of 32 students from a volleyball sport club of An Giang University, Vietnam National University Ho Chi Minh City, Vietnam. The sample was selected taking into account the 5% error rate and 95% confidence level. The results of the Kaiser-Meyer Olkin (KMO) global test and the Bartlett test show that factor analysis is complete, all works are statistically significant. Suitability tests show the model is suitable for the data. The findings of the present study conclude that, in all structures considered: interaction with authority figures, interaction with the opposite sex, evidence, confirming dissatisfaction, interaction with strangers and acting in public, the structure that most influences the underlying “empathy” is interaction with the opposite sex. The structure most likely to affect the underlying “empathy” is an assertion of discomfort.
Social Cognition, SEM, Physical Education, Sport, Brain, Executive Functions
Trung T. H, Thuc D. C. Influence of Physical Education and Sports on Social Cognition: an Analysis Based on Structural Equation Models. Biosc.Biotech.Res.Comm. 2020;13(3).
Trung T. H, Thuc D. C. Influence of Physical Education and Sports on Social Cognition: an Analysis Based on Structural Equation Models. Biosc.Biotech.Res.Comm. 2020;13(3). Available from: https://bit.ly/3hvE902
Copyright © Trung and Thuc This is an open access article distributed under the terms of the Creative Commons Attribution License (CC-BY) https://creativecommons.org/licenses/by/4.0/, which permits unrestricted use distribution and reproduction in any medium, provide the original author and source are credited.
INTRODUCTION
This study presents the development of a structural equation model (SEM), which seeks to examine variables affecting social awareness (empathy and empathy) in An Giang university students, of the volleyball sport club. Five constructs were considered: Interplay with authority figures (TA), Interplay with the opposite sex (TB), be in evidence (TC), favored expression of discomfort (TD), interplay with strangers (TE) and act in public (TF) and two latent variables were used, empathy and sympathy. Social awareness is defined as the processes in which we draw inferences about the beliefs and intentions of others and how we consider social situational factors in making these inferences (Alvarez -Astorga et al, 2019).
Social awareness is impaired in a large number of neurological problems, including neurodegenerative diseases, neurological disorders and neurodevelopmental syndrome, and has become an important factor in differential diagnosis (Duclos et al 2018). Social awareness plays a role in teamwork and physical education in aspects like the player themselves because they have to evaluate what is going on, what they have to do to succeed and they must respond and adjust their playstyle based on teammates and rival teams (Koples, 2019).
The remainder of the paper presents the general context of social awareness, the methods used and the analysis of results. Finally, the study concludes. Social cognition refers to the mental operations involved in understanding other people’s thoughts and intentions, recognizing and perceiving emotions and understanding social interactions (Adolphs, 2001). Although social and non-social cognition share some overlapping operations (e.g. working memory, perception, etc.), some brain regions and networks have specifically been linked to processing social information (Green et al., 2015).
Neural systems involved in processing social-affective stimuli, such as facial emotion and nonverbal social cues, include the amygdala, ventral striatum, ventromedial prefrontal cortex, anterior cingulate cortex and superior temporal regions (Adolphs, 2009). Higher level social cognition processes, such as inferring the intentions of others, are most commonly associated with activations in a broad’ mentalizing network’ including the medial frontal cortex, paracingulate and posterior cingulate cortex, temporal-parietal junction, superior temporal sulcus, and the temporal pole (Adolphs, 2009).
Social awareness is a concept introduced by neurologists, referring to a mental process that has been studied over the past few years in various clinical conditions such as schizophrenia and autism, increased attention deficit hyperactivity and antisocial personality disorder. It is defined as the ability of an entity to perform emotional processing, interpreting the intentions and beliefs of others in social situations (Christidi et al 2018). Neurosocial awareness is explained by the many neuronal connections of the cortical and cortical structures, with specific dominance of the frontal lobe. This concept studies the neurobiology of responses of empathy, sympathy, moral reasoning, recognition of the gaze and internalization of social rules, (Fede et al., 2016). Many physical education and sports, whether it be a team physical education and sportor an individual physical education and sport, include social cognition in multiple aspects. Studies have also shown that physical activity can increase and improve cognition in adults, which is one of the many benefits that playing physical education and sports can have, (Catalina et al, 2020).
The role of social cognition is present in individual physical education and sports competitions such as figure skating because the skater needs to pay attention to the program they are performing while also being sure not to fall on a jump and if they do, they need to adjust their performance to score higher on interpretation of music as well as knowing what the other competitors performed so they can try and score higher (Koples, 2019). The judgement of a physical education and sport can be biased and can impact the way the individual performs. If a team loses, the attitudes of players is most likely to have feelings of unfair judgements, on the other hand, the winning team would be more likely to feel they were judged fairly (Catalina et al, 2020).
This puts an emphasis on the social aspect involving the referee or judge and how they determine what is right or wrong. Another aspect to consider while playing physical education and sports is the audience. It is also proven that physical activity leads to feelings of high self-confidence which can positively impact the individuals involved and if an individual is confident in what they are doing, they are more likely to perform well, opposed to having doubts in their abilities leading to a more negative outcome (Catalina et al, 2020).
Empathy and sympathy: Common sense is evoked by raising awareness and caring for others. The suffering of others by recognizing or responding to their suffering or needs. Sympathetic contexts appear to promote creative solutions, because people who empathize with others in suffering tend to seek new, desirable and prosperous solutions to alleviate suffering and promote happiness (Yang & Yang, 2016).Empathy, sharing and understanding the feelings of others, is a fundamental aspect of social capacity and a lack of empathy associated with aggressive behavior (Jolliffe & Farrington, 2004). Empathy is the ability to put yourself in another pair of shoes and really imagine how others must feel. Empathy is the ability to recognize and feel suffering or pity for others’ suffering (Chapman, 2012). These abilities are even shown in specific parts of the brain. Sympathy is thought to use recognition functions in the frontal lobe of the third layer of the brain, while empathy is thought to include function in the lower right lobe of the brain (Chapman, 2012). Figure 1, shows the appearance of each lobe:
Figure 1: Sympathy and empathy regions
Sympathy can motivate a person to improve a situation, but it can cloud proper design judgment, and complicate relations with the person for whom you are researching and designing. Empathy, on the other hand, helps designers to increase their understanding while remaining objective (Chapman, 2012). Sympathy and empathy are different in another way as well. It is considered “easier” to feel sympathy than to feel empathy. Why is this? When we feel sympathy, we feel for another, but do not understand what the other person is truly feeling. When we are empathetic, we have built an understanding of another’s emotions and feelings (Chapman, 2012).
MATERIAL AND METHODS
Structural equation modelling (SEM) is a class of multivariate models used for learning a causal relationship among variables (exploratory modelling) or for testing whether the model is best fit by given data (confirmatory modelling). A general SEM includes the observed and latent variables, while their relationships are explained by a linear model whose parameters explain the cause or influence from one variable to another (Pruttiakaravanich & Songsiri, 2020). SEM has been widely used in behavioral research, such as in psychology, sociology, business and medical research (Price et al 2009).
We analyzed the relationships between six constructs (interaction with authority figures, interaction with the opposite sex, be in evidence, assertive expression of discomfort, interaction with strangers and act in public) and two latent variables (empathy and sympathy), which enables to analyze physical education and sportsman’s’ attitudes in the social cognition. This was used as a database that met the responses from a survey of the,“The Social Abilities Questionnaire”(Caballo et al., 2012). The survey was applied to a representative sample of 32 volleyball players in a physical education and sport club in An Giang University, Vietnam. The sample was selected considering a margin of error of 5 % and a confidence level of 95 %. We used multivariate statistical techniques; regression and factor analysis in the statistical software SPSS 20.0.
RESULTS AND DISCUSSION
Tables present the results of the Kaiser Meyer Olkin (KMO) test, any KMO is below 0.5, which is why it can be said that factor analysis is valid. The evidence of sphericity rejected at any level of significance considering the results of the Bartlett’s sphericity test, the matrix of correlations is not an identity matrix.
Table 1. Social Abilities Questionnaire
Construct | Action | Variable |
Interplay with authority figures (TA) | Write on the blackboard | T1 |
Having to speak to a teacher | T2 | |
Ask me the teacher in class | T3 | |
Ask a question in class | T4 | |
Interplay with the opposite sex (TB) | Start a conversation with the girl that i like | T5 |
To tell a girl whom i like something from her | T6 | |
Give a kiss for the first time the girl that i like | T7 | |
Ask him to go out to the girl that i like | T8 | |
Be in evidence (TC) | I make a joke in front of others | T9 |
Make a fool of myself in front of others | T10 | |
I criticize | T11 | |
Stay without stuttering or voice, the voice that I tremble to speak | T12 | |
Favored expression of discomfort (TD) | Telling a friend that does not take my things without my permission | T13 |
Tell a colleague who i did not like what he has said to me | T14 | |
Tell a partner who does not bother me when I am working | T15 | |
To tell a partner that is not always the center of attention | T16 | |
Interplay with strangers (TE) | Being with other kids that don’t know | T17 |
Playing with a group of guys I know little | T18 | |
Ask for something to a colleague that almost don’t know | T19 | |
Start talking with guys who don’t know | T10 | |
Act in public (TF) | Participate in a work of theater in the school | T21 |
Singing in public | T22 | |
Dancing in front of everyone | T23 | |
Play an instrument in public | T24 |
Source: author’s elaboration
Table 2. Results of KMO and Bartlett’s sphericity test
Construct | Variable | Measurement of sample adequacy of
(KMO) |
Approximate Chi square | Bartlett’s sphericity Test | Sig |
Interplay with authority figures (TA) | T1 | .501 | 27.423 | 3 | .000 |
T2 | .572 | 261.342 | 1 | .000 | |
T3 | .565 | 23.981 | 1 | .001 | |
T4 | .561 | 110.171 | 1 | .000 | |
Interplay with the opposite sex (TB) | T5 | .549 | 119.509 | 3 | .000 |
T6 | .531 | 121.465 | 1 | .000 | |
T7 | .538 | 120.691 | 1 | .000 | |
T8 | .528 | 32.231 | 1 | .000 | |
Be in evidence (TC) | T9 | .500 | 34.223 | 3 | .002 |
T10 | .592 | 111.302 | 1 | .000 | |
T11 | .665 | 223.781 | 1 | .000 | |
T12 | .541 | 23.130 | 1 | .000 | |
Favored expression of discomfort (TD) | T13 | .543 | 23.509 | 3 | .000 |
T14 | .581 | 25.465 | 1 | .001 | |
T15 | .522 | 127.691 | 1 | .000 | |
T16 | .528 | 26.233 | 1 | .000 | |
Interplay with strangers (TE) | T17 | .511 | 112.423 | 3 | .000 |
T18 | .651 | 25.425 | 1 | .001 | |
T19 | .502 | 27.691 | 1 | .000 | |
T20 | .525 | 116.233 | 1 | .000 | |
Act in public (TF) | T21 | .661 | 32.443 | 3 | .000 |
T22 | .581 | 115.415 | 1 | .000 | |
T23 | .542 | 227.601 | 1 | .000 | |
T24 | .573 | 136.203 | 1 | .000 |
Source: author’s elaboration
In the construction of the SEM model was used the builder tool of the statistical software SPSS 20.0. Was developed an analysis of main components of six constructs (interaction with authority figures, interaction with the opposite sex, be in evidence, assertive expression of discomfort, interaction with strangers and act in public).
Figure 2: SEM model diagram
Figure 2, presents the model developed: All signs of the slope coefficients are positive, showing a strong and direct correlation between the underlying variables and structures. Regarding the potential co-sensibility, the more influential structure is the interaction with the opposite sex, which has a coefficient of 0.99 (average). For its part, the structure that has the most effect on the empathy of the underlying variable is the assertive expression of discomfort, with a factor of 1.01 (average). There is a direct relationship between two latent variables (empathy and empathy), estimated with covariance 54, indicating that both variables are strongly correlated.
Table 3, presents the results of the goodness of fit test: Comparative Fit Index (CFI) and Tucker Lewis Index (TLI), which take values of 0.891 and 0.901 respectively, results that indicate a good fit. Finally, the Coefficient of determination was 0.86, is approaching 1 that indicates a good fit. The lower and upper limits of the statistic RMSEA are 0.051 and 0.253 respectively, which indicates that the setting is good. These results allow us to conclude that, the SEMs model developed is properly adjusted to data.
Table 3. Goodness-of-fit statistics of the estimated model
Fit statistic | Value | Description |
Population error
RMSEA 90 % CI, lower bound Upper bound p closed |
0.068
0.051 0.253 0.061 |
Root mean squared error of approximation
Probability RMSEA <= 0.05 |
Information criteria
AIC BIC |
14594.403
16774.232 |
Akaike’s information criterion
Bayesian information criterion |
Baseline comparison
CFI TLI |
0.891
0.901 |
Comparative fit index
Tucker-Levis index |
Size of residuals
SRMR CD |
0.07
0.86 |
Standardized root mean squared residual
Coefficient of determination |
Physical education and sport directly influences social cognition. The SEM developed in this work allows identifies the influence of the constructs; interaction with authority figures, interaction with the opposite sex, be in evidence, assertive expression of discomfort, interaction with strangers and act in public on the social cognition abilities. The model has identified a positive relationship and direct link between the six constructs and the two latent variables considered (empathy and sympathy). It has also identified a direct correlation between the two latent variables analyzed, for which an increase or decrease in any of them, will generate the same effect in the other.
CONCLUSION
The results of the Kaiser-Meyer Olkin (KMO) global test and the Bartlett test show that factor analysis is complete, all works are statistically significant. Suitability tests show the model is suitable for the data. The findings of the present study conclude that, in all structures considered: interaction with authority figures, interaction with the opposite sex, evidence, confirming dissatisfaction, interaction with strangers and acting in public, the structure that most influences the underlying “empathy” is interaction with the opposite sex. The structure most likely to affect the underlying “empathy” is an assertion of discomfort.
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