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ORIGINAL RESEARCH article

Front. Psychol., 26 November 2020
Sec. Educational Psychology
This article is part of the Research Topic Prosocial and Antisocial Behaviors as a Means of Gaining Social Acceptance and Dominance among Children and Adolescents View all 9 articles

Sociometric Popularity, Perceived Peer Support, and Self-Concept in Adolescence

  • 1Developmental and Educational Psychology Department, Education and Sport Faculty, University of the Basque Country (UPV/EHU), Vitoria-Gasteiz, Spain
  • 2Department of Psychology, Sociology and Social Work, University of Las Palmas de Gran Canaria, Las Palmas de Gran Canaria, Spain

The objective of this study is to analyze the role that peer support plays in the incidence relationships between sociometric popularity and general self-concept based on sociometer theory. A total of 676 randomly selected secondary school students from the Basque Country (49.6% boys and 50.4% girls) between 12 and 18 years of age (M = 14.32, DT = 1.36) participated voluntarily. All of them completed a sociometric questionnaire (SOCIOMET), the Family and Friends Support Questionnaire (AFA-R), and the Dimensional Self-concept Questionnaire (AUDIM-33). Several models of structural equations were tested. The results indicate that sociometric popularity is linked to self-concept through the perceived social support of peers. These results are discussed within the framework of positive psychology and its practical implications in the school context.

Introduction

A high-quality education system should promote interpersonal skills as part of the official curricula with the aim both of contributing to optimum socio-emotional functioning and avoiding a negative impact on students’ well-being. Indeed, research has shown that students’ development of emotional problems are linked to negative experiences with peers, such as peer victimization, rejection, and neglect and a negative self-concept (Wang et al., 2016; Norrington, 2020). Problems in peer relationships can have a severe negative effect on individuals’ emotional health and self-concept as indicator of well-being (Norrington, 2020; Schwartz-Mette et al., 2020). At the same time, previous research indicates that peer support positively impacts children’s school experience and could function as school bullying prevention (Tzani-Pepelasi et al., 2019). Moreover, students consider crucial peer relationships to their wellbeing experiences in school (Blaskova and McLellan, 2018). It is clear that interpersonal relationships entail health benefits and prevents possible damages in adolescence.

Popularity and Self-Concept

The study of popularity forms part of a field of psychological research focusing on the interpersonal relationships established during childhood and adolescence. Popularity could be defined as the order in which children and adolescents are classified in their respective peer groups, in accordance with a hierarchical criterion (Bukowski, 2011). The concept comprises two dimensions that are related to each other but at the same time are different (Ferguson and Ryan, 2019; van den Berg et al., 2020): sociometric popularity, or social preference (Andreou, 2006), which refers to the feeling of being loved and accepted by one’s peers; and perceived popularity, which refers to prestige, visibility and dominance within the peer group (Cillessen and Marks, 2011; Cillessen and Van den Berg, 2012). The term social acceptance has often been used as a synonym of popularity, even though in reality it is simply a dimension of social self-concept (Fernández-Zabala et al., 2016b), understood as the self-evaluation of the degree to which a person feels accepted and loved by the significant others in their life. Thus, popularity and social acceptance are not the same thing and should not be used as synonyms due to the terminological confusion that this may generate, given that the two terms refer to separate yet interrelated concepts.

Deriving from this association between popularity and social acceptance (understood as a dimension of social self-concept), diverse studies have found a significant relationship between popularity and self-esteem, although two opposing theories exist regarding the causal directionality of said relationship. The first is Sociometer Theory (SMT) (Leary and Baumeister, 2000), which is based on the precepts of symbolic interactionism, since it emphasizes how social and other interactions together make up self-concept. This means that a person’s self-concept emerges from interactions with others and reflects the characteristics attributed to that individual by others, along with their expectations and assessments (Cooley, 1902; Mead, 1934). In specific terms, SMT posits that self-esteem is like a sociometer, i.e., influenced by social feedback from others. Thus, self-esteem suffers and decreases during experiences in which the individual feels socially excluded and increases when they feel included in a social situation.

The second theory is the Self-Broadcasting Perspective (SBP) (Taylor et al., 2003; Swann et al., 2007; Zeigler-Hill et al., 2013), which argues the opposite effect, i.e., that high self-esteem may predict social inclusion, since self-esteem may guide people to interpret social signals in a more favorable manner. Thus, according to the SBP, positive self-evaluation should lead to an increase in popularity.

While previous research has found evidence to support both theories, most recent findings suggest that the sociometer theory is empirically superior (Neziek, 2001; Murray et al., 2003; Srivastava and Beer, 2005; Birkeland et al., 2014; Reitz et al., 2016), thus confirming the idea that a person’s popularity determines their level of self-esteem. Nevertheless, a deeper analysis of the results of these studies reveals two limitations linked to the way in which popularity is measured. Firstly, the fact that the studies used different measurement instruments makes it difficult to compare results; and secondly, the use of self-reported questionnaires to measure popularity may call the reliability of the results into question (Brown and Larson, 2009), since it has been shown that those who tend to see themselves in a very positive light have a particularly strong self-report bias (Sedikides and Gregg, 2008). It is therefore clear that the directionality of the relationship between popularity and self-concept requires further confirmation using much more objective instruments, such as those which measure sociometric popularity and which could be completed by both the individual and their peers.

Perceived Peer Support and Self-Concept

Social feedback from peers, parents and teachers may be especially influential during adolescence, when the urge to configure one’s individual identity implies the challenge of integrating different information about the self in a global self-concept (Erikson, 1968). Moreover, while family relationships continue to have a strong influence (Fernández-Zabala et al., 2016a; Axpe et al., 2019; Bully et al., 2019), the peer group is the primary socializing context during adolescence, since friendships contribute to both emotional and social development during this crucial stage (Bagwell and Bukowski, 2018; Bukowski et al., 2020; Schwartz-Mette et al., 2020).

Perceived social support, understood as the subjective perception of the support and regard shown toward oneself by significant others (Lakey and Scoboria, 2005), is a variable which has been found to influence school adaptation, risk prevention during adolescence (Mishna et al., 2016; Ramos-Díaz et al., 2016), and self-concept (Kong et al., 2015; Magro et al., 2019). At a theoretical level, some authors have emphasized the importance of social support from peers as a key element of self-esteem (Mruk, 2006), since the positive interrelationship between peer support and self-perceptions is currently an unquestionable empirical fact (Marshall et al., 2014; Sarkova et al., 2014). Indeed, previous research suggests that social support has a significant influence on different personal and school adjustment indicators, through self-esteem and self-concept (Kong et al., 2012, 2015; Kong and You, 2013; Ramos-Díaz et al., 2016), and some authors even claim that perceived support from peers may help explain the significant associations observed between sociometric status and school adjustment (Wentzel, 2003; Bellmore, 2011). Together, all these studies constitute a sound theoretical basis for the hypothesis that peer support, sociometric status and self-concept are related to each other in some way, with self-concept perhaps being particularly susceptible to social comments from peers during adolescence, due to the aforementioned importance of peer relations during this developmental period (Brown and Larson, 2009).

Popularity, Perceived Peer Support, and Self-Concept

Although several bivariate analyses have been carried out, no studies to date have analyzed the interrelationships which exist between popularity, perceived peer support and self-concept in a combined manner. Regarding the relationship between popularity and peer support during adolescence, the few studies which exist refer mainly to friendship (Nangle et al., 2003; Rose et al., 2004; Stotsky and Bowker, 2018), analyzing number of friends, reciprocal friendship and conflict, etc., rather than the support provided by said friends. The results indicate that popularity is positively associated with number of friends, with those adolescents classified as being more popular claiming to have more friends (Bukowski et al., 1996; Nangle et al., 2003; Rose et al., 2004; Stotsky and Bowker, 2018). However, although studies which have explored the association between popularity and peer relations do not refer specifically to the social support provided, it has been observed that students obtaining few positive nominations and many negative nominations by their peers perceive less support from them (Wentzel, 2003), and that perceived popularity has been linked to greater support from friends (Litwack et al., 2012).

Regarding the association between popularity and self-concept, recent findings indicate that perceived popularity may have a direct effect on global self-concept, with no mediation by friendships (Litwack et al., 2012). However, the role played by perceived support from peers in the association between popularity and self-concept has yet to be determined.

The Present Study

Thus, the aim of this study is to analyze the role played by peer support in the relationship between sociometric popularity and general self-concept, taking Sociometer Theory (SMT), which posits that popularity influences self-concept (rather than the other way round) as our theoretical basis. The study therefore tests different structural models (see Figure 1) in order to determine whether peer support is a precursor or mediator variable for self-concept and if so, whether said mediation is full or partial. Firstly, it is proposed that peer support is a precursor variable for self-concept at the same level as sociometric popularity with no causal relationship between them (M1). Next, it is established that the peer support is a precursor variable of the self-concept, being mediated by the sociometric popularity in a full way (M2a) or partially (M2b). And finally, it is proposed that peer support mediates the relationship between sociometric popularity and self-concept in a full way (M3a) or partially (M3b).

FIGURE 1
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Figure 1. Hypothesized theoretical models.

Materials and Methods

Participants

Participants were 676 secondary students from different schools in the Autonomous Community of the Basque Country (ACBC) in Spain; 335 (49.6%) were boys and 341 (50.4%) were girls and all were aged between 12 and 18 years (Mage = 14.32; SD = 1.36). Schools were selected in accordance with a random process, with the final sample comprising 36 classes from 9 schools (five semi-private and four public). The families attending the schools had a mid-level socioeconomic and cultural status.

As shown in Table 1, participants were distributed throughout the different school years as follows: cycle 1 (years 1 and 2 of secondary school): 329 (48.7%); cycle 2 (years 3 and 4 of secondary school): 301 (44.5%); and cycle 3 (years 1 and 2 of the Spanish Baccalaureate): 46 (6.8%). Pearson’s chi-squared test revealed no differences in the distribution of each sex between the educational cycles [χ2(1) = 3.78, p = 0.151].

TABLE 1
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Table 1. Distribution of the sample by educational cycle and sex.

Measures

Sociometric Popularity

To calculate popularity it is used a sociometric questionnaire in which participants were asked to name three classmates they would choose as best friends and three classmates they would least like to have as friends. The responses were processed using the Sociomet computer program (González and García-Bacete, 2010) which analyzes class group relationships on the basis of the positive and negative nominations made by all students. For this study, the value calculated was the social preference index, which is the sum of the positive references to a subject, minus the sum of the negative references.

Perceived Peer Support

The Family and Friends Support Questionnaire (AFA-R; (González and Landero, 2014) was used to measure perceived peer group support. This questionnaire comprises 15 items which respondents rate on a 5-point Likert-type scale (1 = never to 5 = always). In this study, only the support from friends dimension (7 items, e.g., “Do you have a friend who shows you affection?”) was used. This dimension assesses the perceived availability of friends for talking and providing help, affection and support, as well as satisfaction with the support received. The internal consistency coefficient found in the original validation was = 0.89, and in this study it was = 0.85. Moreover, in the present study, the composite reliability coefficient (CFC) was 0.86, the average variance extracted (AVE) was.50, and the fit was acceptable: SBχ2(13) = 24.7119, p = 0.025 CFI = 0.989; TLI = 0.979; RMSEA = 0.037; RMSEA confidence interval 90% = 0.013–0.058.

General Self-Concept

This construct was evaluated using the Dimensional Self-Concept Questionnaire (AUDIM-33; (Fernández-Zabala et al., 2015). Although the full questionnaire comprises 12 scales (verbal academic self-concept, mathematical academic self-concept, physical ability, physical fitness, physical attractiveness, physical strength, honesty, emotional adjustment, autonomy, self-realization, social responsibility, and social competence), plus another for measuring general self-concept, only the general scale was used in this study. This scale comprises 5 items (e.g., “I feel like a lucky person”) which respondents rate on a 5-point Likert-type scale (1 = false to 5 = true). The reliability index for the general self-concept scale was 0.71 in this study, the CFC was 0.82 and the AVE was 0.50. Likewise, it also has a good fit: SBχ2(4) = 12.1052, p = 0.017; CFI = 0.987; TLI = 0.966; RMSEA = 0.055; RMSEA confidence interval 90% = 0.021–0.091.

Procedure

After having received a favorable report from the University of the Basque Country’s Ethics Commission (CEISH/UPV-EHU, BOPV 32, EHAA, memory number M10/2015/076), stating that the study complied with the ethical values established for research with humans (informed consent, right to information, personal data protection, confidentiality guarantees, non-discrimination, non-remuneration and the right to withdraw at any time), nine schools, both public and semi-private (i.e., private but with some state funding) were selected using a simple random procedure from the official list of schools published by the Basque Government Department of Education. Two schools declined the invitation to collaborate in the project, and two new schools were selected to replace them, using the same method. Contact was made with the administrative team of each school to request their voluntary participation and to explain the nature of the research being carried out. After obtaining institutional permission and the informed consent of the families, the battery of questionnaires was administered collectively under the supervision of members of the research team during class time. The single blind procedure was applied to lower expectations and reactivity, and students were reminded that their participation was strictly voluntary. To reduce the social desirability bias, participants were also assured that their answers would be completely anonymous. None of the students refused to participate in the research project. The questionnaires were completed in a single session lasting between 20 and 30 min.

Data Analysis

Missing values were calculated using the expectation maximization (EM) algorithm and the Markov chain Monte Carlo (MCMC), both offered by the LISREL 8.8 program. Outliers were also eliminated using the SAS program.

The following statistical programs were used: SPSS 25 for descriptive statistics and correlation coefficients; and EQS v.6.1 for testing the structural regression models.

The Structural Equations Models (SEM) method (specifically the complete structural regression model method) was used to test the hypothesized models. The analyses were carried out using the robust maximum likelihood (MLR) procedure, due to the deviation of the multinormal data (all Mardia’s normalized coefficient > 5, p < 0.01) (Bentler, 2005). Diverse indexes were used to test the models’ goodness of fit (Byrne, 2001): the Satorra-Bentler chi-square statistic (SBχ2) and the degrees of freedom, CFI (Comparative Fit Index), TLI (Tucker-Lewis Index) whose value must be higher than 0.90 (Barrett, 2007), and RMSEA (Root Mean Square Error of Approximation) of 0.06 or less with its confidence intervals (Hu and Bentler, 1999).

The use of relatively large samples implies problems in applying the hypothesis test as a criterion for choosing between alternative models (Bentler and Bonett, 1980). For this reason, apart from the Satorra-Bentler chi-square statistic (SBχ2) and the consecutive χ2/gl ratio that considers a score of 2.00–3.00 or less as good fit (Marsh and Hau, 1996), the ACI (Akaike information criterion) (Akaike, 1987) and CAIC (Consistent Akaike information criterion) (Bozdogan, 1987) are calculated in order to compare non-nested models and the lowest value indicates the greatest parsimony.

However, when comparing nested models χ2 significance tests are used. The principle to be applied is the following: (a) if the χ2 test result is significant, the model of choice would be the baseline or partial mediation model because its loss in df is justified by the significant improvement in model fit; and (b) if the χ2 test result is not significant, the full mediation model is to be accepted as it represents a more parsimonious model with comparable fit to the baseline or partial mediation model (Diamantopoulos and Siguaw, 2000).

Results

Descriptive Statistics and Correlations Between the Study Variables

Prior to analyzing the measurement model, a Pearson correlation analysis was conducted, along with an analysis of the means and standard deviations. The results are shown in Table 2.

TABLE 2
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Table 2. Bivariate zero-order correlations, means and standard deviations of the variables of the study.

The Measurement Model

The measurement model includes three latent variables whose indicators are the items in the questionnaires administered. The measurement model analysis revealed an acceptable fit: SBχ2(60) = 119.97, p < 0.001; CFI = 0.964; TLI = 0.953; RMSEA = 0.039; RMSEA confidence interval 90% = 0.029–0.049). All factor loadings of the latent variable indicators were significant (p < 0.01), which implies that all latent factors are represented by their corresponding indicators.

Analysis of the Hypothesized Models

Having analyzed the measurement model, the global fit was calculated for each of the different theoretical models tested (Figure 1) in order to verify the nature of the relationships between the variables in the study. The first regression model tested was peer support and sociometric popularity simultaneously on general self-concept (M1). Next to be tested was the full mediation model (M2a) between peer support and general self-concept through sociometric popularity, and the partial model (M2b), which posits a direct pathway from peer support to general self-concept. Finally, the full (M3a) and partial (M3b) mediation models between sociometric popularity and general self-concept through peer support were tested.

The initial hypothetical model (M1) posits that the variables peer support and sociometric popularity predict general self-concept. An initial analysis of the resulting parameters indicated that this model (M1) had a good fit: SBχ2(60) = 135.47, p < 0.001; CFI = 0.956; TLI = 0.943; RMSEA = 0.043; RMSEA confidence interval 90% = 0.033–0.053.

To verify the hypothesized models M2a and M2b, the goodness of fit indexes for the full mediation model (direct pathway from peer support to general self-concept restricted to zero) were compared with those of the partial mediation model (direct pathway from sociometric popularity to general self-concept). Both models have a good fit: M2a SBχ2(60) = 122.01, p < 0.001; CFI = 0.964; TLI = 0.953; RMSEA = 0.039; RMSEA confidence internal 90% = 0.029–0.049; and M2b SBχ2(59) = 119.97, p < 0.001; CFI = 0.964; TLI = 0.953; RMSEA = 0.039; RMSEA confidence internal 90% = 0.029–0.049. The Chi-square test on the discrepancy between the two models [χ2(1) = 2.8302, p = 0.093] was found not to be statistically significant. In this case, the full mediation model is to be accepted as it represents a more parsimonious model with comparable fit to the baseline model.

The analysis of the goodness of fit indexes pertaining to the final two models tested revealed that both M3a and M3b had good levels: M3a SBχ2(60) = 120.32, p < 0.001; CFI = 0.965; TLI = 0.954; RMSEA = 0.039; RMSEA confidence internal 90% = 0.028–0.048; and M3b SBχ2(59) = 119.97, p < 0.001; CFI = 0.964; TLI = 0.953; RMSEA = 0.039; RMSEA confidence internal 90% = 0.029–0.049. The Chi-square test on the discrepancy between the two models [χ2(1) = 0.0151, p = 0.090] was not statistically significant. Between these two models, again the one chosen is the model of full mediation since it is more parsimonious.

The goodness of fit indexes found for all five models tested (Table 3) were good, but model M3a had the best fit, obtaining the lower AIC and CAIC. The results suggest that M3a is the most parsimonious and therefore the first-choice model.

TABLE 3
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Table 3. Adjustment indexes of full and partial mediation models.

Standardized Regression Coefficients

When the regression coefficients of the first-choice model (M3a) were analyzed individually (Table 4), all the direct pathways proposed were found to be significant at a significance level of p < 0.01.

TABLE 4
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Table 4. Standardized regression coefficients.

Specifically, sociometric popularity was found to predict 76% of peer support, while the variables sociometric popularity and peer support determined 3% of general self-concept. For its part, the variable sociometric popularity indirectly determined general self-concept, while peer support was found to fully mediate between these two variables. The final structural model with its regression coefficients is shown in Figure 2.

FIGURE 2
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Figure 2. Final structural model.

Discussion

The studies carried out on the role of peer support on the relationship between popularity and self-concept are non-existent, so there is a large gap in previous research that this study seeks to address. Consequently, this study tries to clarify the position that peer support occupies in the relationship of popularity with self-concept following the widely accepted Sociometer Theory (SMT).

The main aim of the education system, beyond transmitting knowledge and assessing basic academic competences, is to foster students’ social and emotional skills in order to ensure good psychosocial adjustment. This expanded role, coupled with the current view of schools as environments in which to promote healthy development, has generated a growing interest in the study of variables linked to better adjustment (Froh et al., 2011; Kristjánsson, 2012), including sociometric status (Inglés et al., 2017), the support provided in different contexts (parents, teachers and peers) and self-concept (Rodríguez et al., 2012; Rodríguez-Fernández et al., 2016a). Moreover, it has been demonstrated that during adolescence, adjustment in the school context is partly facilitated by the social and emotional support provided by peers (Rodríguez-Fernández et al., 2016a).

We can therefore conclude that a priority objective for any education system would be to include social relationships in the curriculum, to which end it is necessary to analyze and understand their diversity in terms of preferences, popularity, friendship, social networks and perceived social relations, etc. It is also vital to understand how the aforementioned variables are related to each other, which is why the present study analyzes the relationships which exist between sociometric popularity (measured objectively through peer acceptance rather than using self-reported questionnaires), perceived social support from peers and self-concept among adolescents.

The results obtained here confirm, consistently with the findings of previous studies, that perceived support from significant peers is a key variable in the level of self-concept attained during adolescence (Mruk, 2006; Kong et al., 2015; Magro et al., 2019), with those who perceive their friends to be more available and ready to help also having a better concept of themselves. Viewed from a negative perspective, this points to the importance of paying attention to the negative messages conveyed by classmates, since these seem to have a harmful effect on self-concept, particularly during adolescence, a period in which peer relations become more assiduous and messages received from friends have a greater impact than in later stages of life, making self-concept more sensitive to their influence (Ramos-Díaz et al., 2016).

One of the novel contributions made by this study is that it addresses the directionality of the relationship between popularity and peer support during adolescence. To date, research has either focused solely on aspects linked to friendship, such as number of friends, conflicts between friends or friendship understood as something reciprocal (Nangle et al., 2003; Rose et al., 2004), or has analyzed perceived popularity (Litwack et al., 2012), finding a positive relationship between these two variables. The results found here indicate that it is sociometric popularity that precedes perceived social support, rather than the other way round. Thus, being more or less popular, more or less rejected or more or less ignored affects students’ perceptions of the social support they receive from their peers. This is a finding that extends our previous knowledge, namely that the number of positive nominations received correlates positively with perceived support (Wentzel, 2003), since, in this case, receiving many positive nominations and few negative ones was found to increase the perception of social support.

The results also indicate that sociometric popularity has an indirect impact on adolescents’ general self-concept through perceived peer support. If the factors included in the model are compared, the direct effect of perceived peer support on self-concept is observed to be more intense than the indirect effect of sociometric popularity, thereby countering the idea that sociometric popularity has a direct effect on general self-concept, as believed until now (Litwack et al., 2012). Rather, sociometric popularity is revealed as having an indirect effect on self-concept through peer support. This is perhaps the study’s most important finding.

The study has a number of limitations that should be taken into account. Firstly, the results presented here were extracted using the structural equations method which provides information about the plausibility of hypothesized causal relationships (Ruiz et al., 2010), but which cannot, under any circumstances, confirm causality. Longitudinal studies are therefore required to determine the causal directionality of the relationships which exist between the variables studied, including the mediating effect of perceived peer support.

Furthermore, in order to enable the results to be generalized and to test the model obtained in a stricter manner, future studies should conduct a multi-sample analysis in accordance with sex and school year, focusing on both secondary school students and those studying at other educational levels. This would enable them to test whether the links observed are the same in men and women, and whether they are maintained throughout students’ academic careers. Moreover, the results obtained in this study may be further explored by distinguishing between different domains of self-concept (physical, social, personal and academic) or even by including other mediating contextual variables, such as support from teachers and family (Ramos-Díaz et al., 2016), and other psychological variables such as emotional intelligence or resilience, which have also been shown to be associated with adolescents’ positive development (Rodríguez-Fernández et al., 2016a).

Conclusion

The results of this present study have important educational implications, one of the most significant being to highlight the key relevance of peer relations during adolescence, since the data indicate that the general self-concept of rejected students (i.e., those who received many negative and few positive nominations) is impacted by the mediating buffer effect of subjective perceptions of peer support. Since rejection is associated with school violence (Martínez-Ferrer et al., 2012), there is clearly a need for preventive interventions with the peer group. The results of this study suggest that interpersonal relationships with peers provide a good socialization context in which to learn and develop new social and emotional skills, which in turn will determine to what extent individuals perceive themselves in a positive or negative way, leading to greater or poorer adjustment to their environment (Rodríguez-Fernández et al., 2016a) and more or fewer recourses for preserving their psychological well-being (Rodríguez-Fernández et al., 2016b).

Thus, it is important to design and implement psychoeducational interventions aimed at fostering positive peer relations in the school context. This study has demonstrated that social support depends on acceptance or rejection by peers, and in turn has a key impact on self-concept, which points to the need for schools to provide adolescences with a good social support network in order to ensure their adequate psychological functioning. We should not forget either the importance of fostering positive self-perception and acceptance of oneself in secondary education, a period in which the level of positive self-perception tends to drop (Coelho and Romão, 2017; Van der Aar et al., 2018).

This study has shown that social support depends on the acceptance or rejection by peers and that this in turn has an effect, so it is concluded that it is necessary.

In summary, it is necessary to promote support networks that protect, provide affection and create a space where adolescents feel loved, valued, listened and understood. It is essential to listen to adolescents, respect them, believe in them, so that they can believe in themselves and trust in their own capacity to build a healthy life project for their psychosocial well-being (Orcasita and Uribe, 2010). It is a priority, in turn, to encourage positive interactions between peers by providing adolescents with resources and social skills appropriate to the improvement of such socialization processes that result in a more positive self-concept.

Data Availability Statement

The datasets generated for this study are available on request to the main author.

Ethics Statement

This study has received a favorable report from the University of the Basque Country’s Ethics Commission (CEISH/UPV-EHU, BOPV 32, EHAA, memory number M10/2015/076), stating that the study complied with the ethical values established for research with humans (informed consent, right to information, personal data protection, confidentiality guarantees, non-discrimination, non-remuneration and the right to withdraw at any time). Written informed consent to participate in this study was provided by the participants’ legal guardian/next of kin.

Author Contributions

AF-Z, ER-D, and AR-F conceived the design and wrote the manuscript. AF-Z and ER-D conducted the data analysis. JN co-led the manuscript preparation. All authors have read and agreed to the published version of the manuscript. All authors contributed to the article and approved the submitted version.

Funding

This research was funded by the consolidated research group IT1217-19 of the Basque University System, and of the project EDU2017-83949-P of the State Subprogram of Knowledge Generation of the Ministry of Economy, Industry and Competitiveness of Spain.

Conflict of Interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

References

Akaike, H. (1987). Factor analysis and AIC. Psychometrika 52, 317–332. doi: 10.1007/BF02294359

CrossRef Full Text | Google Scholar

Andreou, E. (2006). Social preference, perceived popularity and social intelligence: relations to overt and relational aggression. Sch. Psychol. Int. 27, 339–351. doi: 10.1177/0143034306067286

CrossRef Full Text | Google Scholar

Axpe, I., Rodríguez-Fernández, A., Goñi, E., and Antonio-Agirre, I. (2019). Parental socialization styles: the contribution of paternal and maternal affect/communication and strictness to family socialization style. Int. J. Environ. Res. Public Health 16:2204. doi: 10.3390/ijerph16122204

PubMed Abstract | CrossRef Full Text | Google Scholar

Bagwell, C., and Bukowski, W. (2018). “Friendship in childhood and adolescence: Features, effects, and processes,” in Handbook of Peer Interactions, Relationships, and Groups, 2nd Edn, eds W. M. Bukowski, B. Laursen, and K. H. Rubin (New York, NY: Guilford Press), 371–390.

Google Scholar

Barrett, P. (2007). Structural equation modelling: adjudging model fit. Pers. Individ. Dif. 42, 815–824. doi: 10.1016/j.paid.2006.09.018

CrossRef Full Text | Google Scholar

Bellmore, A. (2011). Peer rejection and unpopularity: associations with GPAs across the transition to middle school. J. Educ. Psychol. 103, 282–295. doi: 10.1037/a0023312

CrossRef Full Text | Google Scholar

Bentler, P. M. (2005). EQS 6 Structural Equations Program Manual. Encino, CA: Multivariate Software.

Google Scholar

Bentler, P. M., and Bonett, D. G. (1980). Significance tests and goodness of fit in the analysis of covariance structures. Psychol. Bull. 88, 588–606. doi: 10.1037/0033-2909.88.3.588

CrossRef Full Text | Google Scholar

Birkeland, M. S., Breivik, K., and Wold, B. (2014). Peer acceptance protects global self-esteem from negative effects of low closeness to parents during adolescence and early adulthood. J. Youth Adolesc. 43, 70–80. doi: 10.1007/s10964-013-9929-1

PubMed Abstract | CrossRef Full Text | Google Scholar

Blaskova, L. J., and McLellan, R. (2018). Young people’s perceptions of wellbeing: the importance of peer relationships in Slovak schools. Int. J. Sch. Educ. Psychol. 6, 279–291. doi: 10.1080/21683603.2017.1342579

CrossRef Full Text | Google Scholar

Bozdogan, H. (1987). Model selection and Akaike’s Information Criterion (AIC): the general theory and its analytical extensions. Psychometrika 52, 345–370. doi: 10.1007/BF02294361

CrossRef Full Text | Google Scholar

Brown, B. B., and Larson, J. (2009). “Peer relationships in adolescence,” in Handbook of Adolescent Psychology, 3rd Edn, Vol. 2, eds R. M. Lerner and L. Steinberg (Hoboken, NJ: John Wiley & Sons, Inc), 74–103.

Google Scholar

Bukowski, W. (2011). “Popularity as a social concept: Meanings and significance,” in Popularity in the Peer System, eds A. H. N. Cillessen, D. Schwartz, and L. Mayeux (New York, NY: Guilford Press), 3–24.

Google Scholar

Bukowski, W. M., Bagwell, C., Castellanos, M., and Persram, R. J. (2020). “Friendship in Adolescence,” in The Encyclopedia of Child and Adolescent Development, eds S. Hupp and J. D. Jewell (Hoboken, NJ: John Wiley & Sons, Inc), 1–11. doi: 10.1002/9781119171492.wecad403

CrossRef Full Text | Google Scholar

Bukowski, W. M., Pizzamiglio, M. T., Newcomb, A. F., and Hoza, B. (1996). Popularity as an affordance for friendship: the link between group and dyadic experience. Soc. Dev. 5, 189–202. doi: 10.1111/j.1467-9507.1996.tb00080.x

CrossRef Full Text | Google Scholar

Bully, P., Jaureguizar, J., Bernaras, E., and Redondo, I. (2019). Relationship between parental socialization, emotional symptoms, and academic performance during adolescence: the influence of parents’ and teenagers’ gender. Int. J. Environ. Res. Public Health 16:2231. doi: 10.3390/ijerph16122231

PubMed Abstract | CrossRef Full Text | Google Scholar

Byrne, B. M. (2001). Structural equation modeling with AMOS, EQS, and LISREL: comparative approaches to testing for the factorial validity of a measuring instrument. Int. J. Test. 1, 55–86. doi: 10.1207/s15327574ijt0101_4

CrossRef Full Text | Google Scholar

Cillessen, A. H. N., and Marks, P. E. L. (2011). “Conceptualizing and measuring popularity,” in Popularity in the Peer System, eds A. H. N. Cillessen, D. Schwartz, and L. Mayeux (New York, NY: Guilford Press), 25–56.

Google Scholar

Cillessen, A. H. N., and Van den Berg, Y. (2012). “Popularity and school adjustment,” in Peer Relationships and Adjustment at School, eds A. Ryan and G. W. Ladd (Charlotte, NC: Information Age Publishing), 135–164.

Google Scholar

Coelho, V. A., and Romão, A. M. (2017). The impact of secondary school transition on self-concept and self-esteem. J. Psychodidactics 22, 85–92. doi: 10.1016/j.psicoe.2016.10.001

CrossRef Full Text | Google Scholar

Cooley, C. (1902). Human Nature and the Social Order. New York, NY: Charles Scribner.

Google Scholar

Diamantopoulos, A., and Siguaw, J. (2000). Introducing LISREL: A Guide for the Uninitiated. Thousand Oaks, CA: Sage.

Google Scholar

Erikson, E. (1968). Identity: Youth and Crisis. New York, NY: Norton Company.

Google Scholar

Ferguson, S. M., and Ryan, A. M. (2019). It’s lonely at the top: adolescent students’ peer-perceived popularity and self-perceived social contentment. J. Youth Adolesc. 48, 341–358. doi: 10.1007/s10964-018-0970-y

PubMed Abstract | CrossRef Full Text | Google Scholar

Fernández-Zabala, A., Goñi, E., Camino, I., and Zulaika, L. M. (2016a). Family and school context in school engagement. Eur. J. Educ. Psychol. 9, 47–55. doi: 10.1016/j.ejeps.2015.09.001

CrossRef Full Text | Google Scholar

Fernández-Zabala, A., Goñi, E., Rodríguez-Fernández, A., and Goñi, A. (2015). Un nuevo cuestionario en castellano con escalas de las dimensiones del autoconcepto. Rev. Mex. Psicol. 32, 149–159.

Google Scholar

Fernández-Zabala, A., Rodríguez-Fernández, A., and Goñi, A. (2016b). The structure of the Social Self-Concept (SSC) questionnaire. An. Psicol. 32, 199–205. doi: 10.6018/analesps.32.1.193931

CrossRef Full Text | Google Scholar

Froh, J. J., Huebner, E. S., Youssef, A. J., and Conte, V. (2011). Acknowledging and appreciating the full spectrum of the human condition: school Psychology’s (limited) focus on positive psychological functioning. Psychol. Sch. 48, 110–123. doi: 10.1002/pits.20530

CrossRef Full Text | Google Scholar

González, J., and García-Bacete, F. G. (2010). Sociomet. Programa Para La Realización de Estudios Sociométricos. Madrid: TEA Editions.

Google Scholar

González, M. T., and Landero, R. (2014). Propiedades psicométricas de la escala de Apoyo Social Familiar y de Amigos (AFA-R) en una muestra de estudiantes. Acta Investig. Psicológica 4, 1469–1480. doi: 10.1016/s2007-4719(14)70387-4

CrossRef Full Text | Google Scholar

Hu, L. T., and Bentler, P. M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: conventional criteria versus new alternatives. Struct. Equ. Model. 6, 1–55. doi: 10.1080/10705519909540118

CrossRef Full Text | Google Scholar

Inglés, C. J., Aparisi, D., Delgado, B., Torregrosa, M. S., and García-Fernández, J. M. (2017). Sociometric types and academic self-concept in adolescents. Psicothema 29, 496–501. doi: 10.7334/psicothema2016.54

PubMed Abstract | CrossRef Full Text | Google Scholar

Kong, F., Ding, K., and Zhao, J. (2015). The relationships among gratitude, self-esteem, social support and life satisfaction among undergraduate students. J. Happiness Stud. 16, 477–489. doi: 10.1007/s10902-014-9519-2

CrossRef Full Text | Google Scholar

Kong, F., and You, X. (2013). Loneliness and self-esteem as mediators between social support and life satisfaction in late adolescence. Soc. Indic. Res. 110, 271–279. doi: 10.1007/s11205-011-9930-6

CrossRef Full Text | Google Scholar

Kong, F., Zhao, J., and You, X. (2012). Emotional intelligence and life satisfaction in Chinese university students: the mediating role of self-esteem and social support. Pers. Individ. Dif. 53, 1039–1043. doi: 10.1016/j.paid.2012.07.032

CrossRef Full Text | Google Scholar

Kristjánsson, K. (2012). Positive psychology and positive education: old wine in new bottles? Educ. Psychol. 47, 86–105. doi: 10.1080/00461520.2011.610678

CrossRef Full Text | Google Scholar

Lakey, B., and Scoboria, A. (2005). The relative contribution of trait and social influences to the links among perceived social support, affect, and self-esteem. J. Pers. 73, 361–388. doi: 10.1111/j.1467-6494.2005.00312.x

PubMed Abstract | CrossRef Full Text | Google Scholar

Leary, M. R., and Baumeister, R. F. (2000). The nature and function of self-esteem: sociometer theory. Adv. Exp. Soc. Psychol. 32, 1–62. doi: 10.1016/s0065-2601(00)80003-9

CrossRef Full Text | Google Scholar

Litwack, S. D., Aikins, J. W., and Cillessen, A. H. N. (2012). The distinct roles of sociometric and perceived popularity in friendship. J. Early Adolesc. 32, 226–251. doi: 10.1177/0272431610387142

CrossRef Full Text | Google Scholar

Magro, S. W., Utesch, T., Dreiskämper, D., and Wagner, J. (2019). Self-esteem development in middle childhood: support for sociometer theory. Int. J. Behav. Dev. 43, 118–127. doi: 10.1177/0165025418802462

CrossRef Full Text | Google Scholar

Marsh, H. W., and Hau, K. T. (1996). Assessing goodness of fit: is parsimony always desirable? J. Exp. Educ. 64, 364–390. doi: 10.1080/00220973.1996.10806604

CrossRef Full Text | Google Scholar

Marshall, S. L., Parker, P. D., Ciarrochi, J., and Heaven, P. C. L. (2014). Is self-esteem a cause or consequence of social support? A 4-year longitudinal study. Child Dev. 85, 1275–1291. doi: 10.1111/cdev.12176

PubMed Abstract | CrossRef Full Text | Google Scholar

Martínez-Ferrer, B., Musitu-Ochoa, G., Amador-Muñoz, L. V., and Monreal-Gimeno, M. C. (2012). Sociometric status and school violence on adolescents: implications of self-esteem, family and school. Rev. Latinoam. Psicol. 44, 55–66. doi: 10.14349/rlp.v44i2.1031

CrossRef Full Text | Google Scholar

Mead, G. H. (1934). Mind, Self and Society. Chicago, IL: University of Chicago Press.

Google Scholar

Mishna, F., Khoury-Kassabri, M., Schwan, K., Wiener, J., Craig, W., Beran, T., et al. (2016). The contribution of social support to children and adolescents’ self-perception: the mediating role of bullying victimization. Child. Youth Serv. Rev. 63, 120–127. doi: 10.1016/j.childyouth.2016.02.013

CrossRef Full Text | Google Scholar

Mruk, C. (2006). Self-Esteem Research, Theory, and Practice: Toward a Positive Psychology of Self-Esteem. New York, NY: Springer.

Google Scholar

Murray, S. L., Rose, P., Griffin, D. W., and Bellavia, G. M. (2003). Calibrating the sociometer: the relational contingencies of self-esteem. J. Pers. Soc. Psychol. 85, 63–84. doi: 10.1037/0022-3514.85.1.63

PubMed Abstract | CrossRef Full Text | Google Scholar

Nangle, D. W., Erdley, C. A., Newman, J. E., Mason, C. A., and Carpenter, E. M. (2003). Popularity, friendship quantity, and friendship quality: interactive influences on children’s loneliness and depression. J. Clin. Child Adolesc. Psychol. 32, 546–555. doi: 10.1207/S15374424JCCP3204_7

PubMed Abstract | CrossRef Full Text | Google Scholar

Neziek, J. B. (2001). Causal relationships between perceived social skills and day-to-day social interaction: extending the sociometer hypothesis. J. Soc. Pers. Relat. 18, 386–403. doi: 10.1177/0265407501183005

CrossRef Full Text | Google Scholar

Norrington, J. (2020). Adolescent peer victimization, self-concept, and psychological distress in emerging adulthood. Youth Soc. 0044118X2091093. doi: 10.1177/0044118X20910938

CrossRef Full Text | Google Scholar

Orcasita, L. T., and Uribe, A. F. (2010). La importancia del apoyo social en el bienestar de los adolescentes. Psychol. Av. la Discip. 4, 69–82. doi: 10.21500/19002386.1151

CrossRef Full Text | Google Scholar

Ramos-Díaz, E., Rodríguez-Fernández, A., Fernández-Zabala, A., Revuelta, L., and Zuazagoitia, A. (2016). Adolescent students ì perceived social support, self-concept and school engagement. J. Psychodidactics 21, 339–356. doi: 10.1387/RevPsicodidact.14848

CrossRef Full Text | Google Scholar

Reitz, A. K., Motti-Stefanidi, F., and Asendorpf, J. B. (2016). Me, us, and them: testing sociometer theory in a socially diverse real-life context. J. Pers. Soc. Psychol. 110, 908–920. doi: 10.1037/pspp0000073

PubMed Abstract | CrossRef Full Text | Google Scholar

Rodríguez-Fernández, A., Ramos-Díaz, E., Fernández-Zabala, A., Goñi, E., Esnaola, I., and Goñi, A. (2016a). Contextual and psychological variables in a descriptive model of subjective well-being and school engagement. Int. J. Clin. Heal. Psychol. 16, 166–174. doi: 10.1016/j.ijchp.2016.01.003

PubMed Abstract | CrossRef Full Text | Google Scholar

Rodríguez-Fernández, A., Ramos-Díaz, E., Ros, I., Fernández-Zabala, A., and Revuelta, L. (2016b). Bienestar subjetivo en la adolescencia: el papel de la resiliencia, El autoconcepto y el apoyo social percibido. Suma Psicol. 23, 60–69. doi: 10.1016/j.sumpsi.2016.02.002

CrossRef Full Text | Google Scholar

Rodríguez, A., Droguett, L., and Revuelta, L. (2012). School and personal adjustment in adolescence: the role of academic self-concept and perceived social support. J. Psychodidactics 17, 397–414. doi: 10.1387/revpsicodidact.3002

CrossRef Full Text | Google Scholar

Rose, A. J., Swenson, L. P., and Carlson, W. (2004). Friendships of aggressive youth: considering the influences of being disliked and of being perceived as popular. J. Exp. Child Psychol. 88, 25–45. doi: 10.1016/j.jecp.2004.02.005

PubMed Abstract | CrossRef Full Text | Google Scholar

Ruiz, M. A., Pardo, A., and San Martín, A. (2010). Modelos de ecuaciones estructurales. Papeles del Psicólogo 31, 34–45.

Google Scholar

Sarkova, M., Bacikova-Sleskova, M., Madarasova Geckova, A., Katreniakova, Z., Van den Heuvel, W., and Van Dijk, J. P. (2014). Adolescents’ psychological well-being and self-esteem in the context of relationships at school. Educ. Res. 56, 367–378. doi: 10.1080/00131881.2014.965556

CrossRef Full Text | Google Scholar

Schwartz-Mette, R. A., Shankman, J., Dueweke, A. R., Borowski, S., and Rose, A. J. (2020). Relations of friendship experiences with depressive symptoms and loneliness in childhood and adolescence: a meta-analytic review. Psychol. Bull. 146, 664–700. doi: 10.1037/bul0000239

PubMed Abstract | CrossRef Full Text | Google Scholar

Sedikides, C., and Gregg, A. P. (2008). Self-enhancement: food for thought. Perspect. Psychol. Sci. 3, 102–116. doi: 10.1111/j.1745-6916.2008.00068.x

PubMed Abstract | CrossRef Full Text | Google Scholar

Srivastava, S., and Beer, J. S. (2005). How self-evaluations relate to being liked by others: integrating sociometer and attachment perspectives. J. Pers. Soc. Psychol. 89, 966–977. doi: 10.1037/0022-3514.89.6.966

PubMed Abstract | CrossRef Full Text | Google Scholar

Stotsky, M. T., and Bowker, J. C. (2018). An examination of reciprocal associations between social preference, popularity, and friendship during early adolescence. J. Youth Adolesc. 47, 1830–1841. doi: 10.1007/s10964-018-0846-1

PubMed Abstract | CrossRef Full Text | Google Scholar

Swann, W. B., Chang-Schneider, C., and McClarty, K. L. (2007). Do people’s self-views matter? Self-concept and self-esteem in everyday life. Am. Psychol. 62, 84–94. doi: 10.1037/0003-066X.62.2.84

PubMed Abstract | CrossRef Full Text | Google Scholar

Taylor, S. E., Lerner, J. S., Sherman, D. K., Sage, R. M., and McDowell, N. K. (2003). Portrait of the self-enhancer: well adjusted and well liked or maladjusted and friendless? J. Pers. Soc. Psychol. 84, 165–176. doi: 10.1037/0022-3514.84.1.165

CrossRef Full Text | Google Scholar

Tzani-Pepelasi, C., Ioannou, M., Synnott, J., and McDonnell, D. (2019). Peer support at schools: the buddy approach as a prevention and intervention strategy for school bullying. Int. J. Bullying Prev. 1, 111–123. doi: 10.1007/s42380-019-00011-z

CrossRef Full Text | Google Scholar

van den Berg, Y. H. M., Lansu, T. A. M., and Cillessen, A. H. N. (2020). Preference and popularity as distinct forms of status: a meta-analytic review of 20 years of research. J. Adolesc. 84, 78–95. doi: 10.1016/j.adolescence.2020.07.010

PubMed Abstract | CrossRef Full Text | Google Scholar

Van der Aar, L. P. E., Peters, S., and Crone, E. A. (2018). The development of self-views across adolescence: investigating self-descriptions with and without social comparison using a novel experimental paradigm. Cogn. Dev. 48, 256–270. doi: 10.1016/j.cogdev.2018.10.001

CrossRef Full Text | Google Scholar

Wang, C., Hatzigianni, M., Shahaeian, A., Murray, E., and Harrison, L. J. (2016). The combined effects of teacher-child and peer relationships on children’s social-emotional adjustment. J. Sch. Psychol. 59, 1–11. doi: 10.1016/j.jsp.2016.09.003

PubMed Abstract | CrossRef Full Text | Google Scholar

Wentzel, K. R. (2003). Sociometric status and adjustment in middle school: a longitudinal study. J. Early Adolesc. 23, 5–28. doi: 10.1177/0272431602239128

CrossRef Full Text | Google Scholar

Zeigler-Hill, V., Besser, A., Myers, E. M., Southard, A. C., and Malkin, M. L. (2013). The status-signaling property of self-esteem: the role of self-reported self-esteem and perceived self-esteem in personality judgments. J. Pers. 81, 209–220. doi: 10.1111/j.1467-6494.2012.00790.x

PubMed Abstract | CrossRef Full Text | Google Scholar

Keywords: social preference, perceived social support, general self-concept, sociometer theory, secondary education

Citation: Fernández-Zabala A, Ramos-Díaz E, Rodríguez-Fernández A and Núñez JL (2020) Sociometric Popularity, Perceived Peer Support, and Self-Concept in Adolescence. Front. Psychol. 11:594007. doi: 10.3389/fpsyg.2020.594007

Received: 12 August 2020; Accepted: 27 October 2020;
Published: 26 November 2020.

Edited by:

Raúl Navarro, University of Castilla-La Mancha, Spain

Reviewed by:

Inga Truskauskaite-Kuneviciene, Vilnius University, Lithuania
Raquel Escortell Sánchez, Universidad Internacional De La Rioja, Spain
David Aparisi, University of Alicante, Spain

Copyright © 2020 Fernández-Zabala, Ramos-Díaz, Rodríguez-Fernández and Núñez. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Arantza Fernández-Zabala, YXJhbnR6YS5mZXJuYW5kZXpAZWh1LmV1cw==

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