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Teacher and peer relationships and life satisfaction: Mediating the role of student resilience in south korean elementary schools

Published online by Cambridge University Press:  12 November 2020

Minyoung Lee
Affiliation:
1Brain and Motivation Research Institute (bMRI), Korea University, Seoul, South Korea
Sang Min Lee*
Affiliation:
2Department of Education, Korea University, Seoul, South Korea
*
*Address for correspondence: Sang Min Lee, Department of Education, Korea University, Anam-Dong, Sungbuk-Gu, Seoul, South Korea. Email [email protected]

Abstract

The purpose of this study was to examine the association between life satisfaction and positive student-teacher and peer relationships. Further, we aimed to test the mediating effects of student resilience in a multilevel model. The data were collected from elementary students in South Korea. To examine the mediating effects of student resilience, multilevel structural equation modelling was conducted. The results indicated that schools with positive student-teacher relationships correlated with higher life satisfaction for children. This relationship was fully mediated by student resilience. However, the mediating effects of student resilience in the relationship between peer relationships and life satisfaction was found to be at the individual level rather than by school climate. Practical implications on ways to improve students’ life satisfaction within the school and classroom settings are discussed.

Type
Original Article
Copyright
© The Author(s), 2020. Published by Cambridge University Press

Life satisfaction is an important indicator of subjective wellbeing (Bradshaw, Martorano, Natali, & Nueboug, Reference Bradshaw, Martorano, Natali and Nueboug2013). Life satisfaction is a subjective and global evaluation of one’s quality of life from a reflective and evaluative perspective, rather than a momentary affective experience (Diener, Suh, Lucas, & Smith, Reference Diener, Suh, Lucas and Smith1999; Ng, Huebner, Hills, & Valois, Reference Ng, Huebner, Hills and Valois2018). In other words, it refers to the degree of satisfaction one experiences in life. Many studies have suggested that life satisfaction is associated with desirable life outcomes in both the short and long term. For instance, children who are satisfied with their lives demonstrate adaptive characteristics, such as higher self-efficacy, successful academic performance, and active engagement in school (Lewis, Huebner, Malone, & Valois, Reference Lewis, Huebner, Malone and Valois2011). They also exhibit few psychological and behavioural problems (Huebner, Suldo, Smith, & McKnight, Reference Huebner, Suldo, Smith and McKnight2004; Sun & Shek, Reference Sun and Shek2013), and have an abundance of coping abilities and social competencies that are associated with positive and promising developmental outcomes in adulthood (Currie et al., Reference Currie, Zanotti, Morgan, Currie, Looze, Roberts, Samdal, Smith and Barnekow2012).

In a previous research (S. Kim, Kang, & Bang, Reference Kim, Kang and Bang2010), the components of life meaning perceived by late school-aged children in Grades 4, 5, and 6 in elementary schools were ‘to achieve’ (e.g., to make dreams come true, to be a great person, to be happy) and ‘to do’ (e.g., to study, to make money, to be filial, to do volunteer work). Furthermore, late school-aged children reported that they feel meaning in life when they perform meaningful behaviours, are emotionally comfortable, and are helping or getting help from others. Namely, children in this period can build life meaning through active participation in the environment or world, based on cognitive development, and in this process, positive social relationships and emotional stability could be considered facilitators for promoting life satisfaction.

In a school context, children experience two representative and significant social relationships: peer relationships and teacher-student relationships. Similar to attachment theory, children are able to build strong social ties by considering teachers and peers as significant others, which in turn provides important opportunities and positive experiences for the children (Schwabe, Korthals, & Schils, Reference Schwabe, Korthals and Schils2019). Peer relationships generally refer to the type and quality of social interaction among same-aged children. In previous research (DeRosier, Reference DeRosier2019; Schwabe et al., Reference Schwabe, Korthals and Schils2019), this relationship ranged from very close friends to a small specific group (e.g., clique, soccer team) to large peer groups (e.g., class, school). Despite these different characteristics, diverse peer groups commonly provide children with a sense of belonging and a sense of functioning as members of society beyond the family unit. Belonging to a peer group and being accepted by peers is important for children’s psychological and social development, because a major function of peer groups is to support children in potentially threatening developmental processes, such as individuation from parents and identity development (Rubin, Bukowsk, & Parker, Reference Rubin, Bukowski, Parker, Eisenberg, Damon and Lerner2006; Schwarz et al., Reference Schwarz, Mayer, Trommsdorff, Ben-Arieh, Friedlmeier, Lubiewska, Mishra and Peltzer2012). For instance, children with loss of relatedness to peers may show positive academic performance if they have satisfying relationships with adults (e.g., parents and teachers); nevertheless, they may have a negative emotional experience in the classroom (Furrer & Skinner, Reference Furrer and Skinner2003). Thus, the experience of engaging in a supportive, respectful and intimate relationship, and the sense of belongingness can provide developmentally appropriate psychological supportiveness beyond the realm of family, thereby affecting children’s life satisfaction (Mellor, Stokes, Firth, Hayashi, & Cummins, Reference Mellor, Stokes, Firth, Hayashi and Cummins2008; Schwarz et al., Reference Schwarz, Mayer, Trommsdorff, Ben-Arieh, Friedlmeier, Lubiewska, Mishra and Peltzer2012).

Furthermore, teachers have an important role in improving students’ subjective wellbeing and life satisfaction (Suldo, Riley, & Shaffer, Reference Suldo, Riley and Shaffer2006). Teachers are responsible for establishing the classroom environment, which can significantly affect students’ psychological experiences in terms of both learning and peer interactions. Previous research studies (Moos, Reference Moos1979; Suldo et al., Reference Suldo, Riley and Shaffer2006) have pointed out that teachers are key players in forming a positive social climate in school because their behaviour models how students should interact with peers (Westling-Allodi, Reference Westling-Allodi2002). Also, teachers provide a school environment that can promote students’ emotional, cognitive and social development by caring for and supporting them, setting high expectations and encouraging each student to play a meaningful role (Vitto, Reference Vitto2003). Furthermore, the feeling of acceptance from teachers, such as trust and expectations for success, willingness to listen and interest in the students, can significantly affect children’s self-efficacy and self-worth (Paulson & Everall, Reference Paulson and Everall2001). Children who have a relationship with teachers that provides students with warmer and more supportive experiences are likely to be more internally motivated and feel higher competency, with higher self-esteem and interest in learning, than those who do not (Midgley, Feldlauffer, & Eccles, Reference Midgley, Feldlauffer and Eccles1989; Ryan & Grolnick, Reference Ryan and Grolnick1986).

Taken together, peer relationships and relationships with teachers suggest that the relationship children have with their parents at home can also be extended to how children interact with organised society. Children’s positive relationships at school, based on a feeling of connectedness, reinforces their perception of their environment as safe, which further fosters cognitive development and facilitates positive learning and motivational outcomes (Schwabe et al., Reference Schwabe, Korthals and Schils2019). Certainly, the quality of social relationships affects one’s life satisfaction (Diener et al., Reference Diener, Suh, Lucas and Smith1999). However, previous studies implicate that there may be different mechanisms by which relationships with peers and teachers differentially influence children. Students who have positive relationships with teachers tend to show greater academic coping, engagement, self-regulation and perceived control; however, peer relationships were not related to these outcomes (Ryan, Stiller, & Lynch, Reference Ryan, Stiller and Lynch1994). Further, in a study on the effect of a reference group on academic self-concept (Schwabe et al., Reference Schwabe, Korthals and Schils2019), positive relationships with teachers showed significant moderating effects, whereas no moderating effects of peer relationships were found. Thus, we need to explore the effects of a more comprehensive and general psychological system, in which the social relationships that children experience affect their overall development.

Ego-resiliency is a representative psychological system that influences children’s overall cognitive, emotional and social development (Block & Block, Reference Block, Block and Collins1980). It is a competence that enables individuals to adjust to constantly changing environmental situations (Farkas & Orosz, Reference Farkas and Orosz2015). The concept of resilience was first introduced by Block (Reference Block1965) in a psychological context and applied to invulnerable or stress-resistant children. More recently, it is understood as a stress-protective and health promoting variable, which contributes to not only psychological growth and development (Richardson, Reference Richardson2002), but also to wellbeing and good quality of life (Windle, Bennett, & Noyes, Reference Windle, Bennett and Noyes2011). It is known to contribute to psychological wellbeing and it develops through and promotes socialisation (Farkas & Orosz, Reference Farkas and Orosz2015). The term ‘student resilience’, rather than ego-resiliency, is the preferred term in educational settings (Morrison & Allen, Reference Morrison and Allen2009; Stephens, Reference Stephens2013). It is a useful term to describe how students can confidently face challenges and successfully move forward (Stephens, Reference Stephens2013). Therefore, in this study on the resilience of elementary school students, we will also use the term ‘student resilience’.

The antecedent factors of resilience that have been found in previous studies can be classified into genetic characteristics, personality traits, socialisation by gender, and relationships with parents (Jeong & Kim, Reference Jeong and Kim2015). According to Taylor and colleagues (Reference Taylor, Sulik, Eisenberg, Spinrad, Silva, Lemery-Chalfant and Verrelli2014), the serotonin transporter gene (SLC6A4) is a predictor that partially explains the level of individual differences in student resilience. Also, it has an additive effect on the formation of student resilience, along with parenting style. Individual emotional traits also affect the development of student resilience. High negative emotions, such as frustration and anger, impede the development of student resilience, affecting the level of change (Taylor, Eisenberg, Spinrad, Eggum, & Sulik, Reference Taylor, Eisenberg, Spinrad, Eggum and Sulik2013), and the optimism tends to be a positive predictor of student resilience (Klohnen, Reference Klohnen1996). Children also show differences in the level of development of student resilience by gender, and it is implicated that it is due to gender socialisation rather than biological differences. This is because girls and boys face different socialisation processes and expectations in the growth process and thus face different challenges in life (Block & Block, Reference Block and Block2006; Chuang, Lamb, & Hwang, Reference Chuang, Lamb and Hwang2006). Finally, interactions with parents from infancy to adolescence, and parenting and communication styles affect student resilience. In particular, it is known that a secure attachment with parents, supportive parenting style, mother’s sensitivity and warmth have a positive effect on student resilience (Gjerde, Block, & Block, Reference Gjerde, Block and Block1986; Swanson, Valiente, Lemery-Chalfant, O’Brien, Reference Swanson, Valiente, Lemery-Chalfant and O’Brien2011; Taylor et al., Reference Taylor, Sulik, Eisenberg, Spinrad, Silva, Lemery-Chalfant and Verrelli2014). In conclusion, it would be appropriate to consider student resilience as a result of the interaction between the individual’s internal characteristics and the external environment (Jeong & Kim, Reference Jeong and Kim2015).

If so, we must focus on how student resilience can be manifested and developed in the school context, since school is a significant environmental factor that influences school-aged children’s life satisfaction through relationships with teachers and peers (Piko & Hamvai, Reference Piko and Hamvai2010). In the school context and considering the construct of ego-resiliency, children with high student resilience are those students who actively cope with and engage in challenging school settings through the various resources or problem-solving strategies available to them (e.g., inner resources, cooperation with peers, advice from teachers, and learning by imitating peers or teachers). These characteristics enable them to lead an open, positive and independent school life. As yet, most studies have reported that students with high levels of resiliency have adaptive school life. According to a study (Jo, Reference Jo2014) that summarised the previous studies on resiliency in elementary school students, student resilience has more influence on school life adjustment compared to parenting attitude. This is because student resilience is closely related to interpersonal relationships (Shin, Reference Shin2005). Also, children with higher resiliency are less stressed with school life, and when they experience stress, they show more active, positive and flexible coping strategies that pursue social support (Lim, Reference Lim2005). Children with high resiliency and high perceptions of social support have shown positive school adjustment (Park, Reference Park2010), and children with low resiliency were found to have low school adjustment, regardless of academic stress level (Lee, Reference Lee2010). Furthermore, it has been found that student resilience can mitigate the negative effects of children’s daily stress on school adjustment (H.S. Kim, Reference Kim2013).

Conversely, few studies have shown that the social relationships that children experience in school affect their student resilience. Fortunately, some studies provide evidence that interpersonal relationships at school can enhance student resilience. In Han’s (Reference Han2013) study, it was found that the quality of teacher-child relationships formed by facilitative communication positively affected student resilience, and in turn, the improved student resilience acted as a mediator to the children’s school happiness. Also, elementary school students with psychological wellbeing formed by positive relationships with others (i.e., parents, teachers, and peers) were found to experience a low level of daily stress in which student resilience operated as a partial mediating factor (Jang, Choi, & Lee, Reference Jang, Choi and Lee2016). In the relationship between teacher’s social support and adjustment to school life, student resilience plays a partially mediating role. Furthermore, the relationship with burnt-out teachers, whose interest and affection for children are low, affects student burnout by completely mediating student resilience (Sung & Choi, Reference Sung and Choi2018). Thus, student resilience could be a mediator between interpersonal relationships at school and children’s psychological wellbeing.

This study adopted a multilevel approach to identify the relationships between social relationships at school, student resilience, and life satisfaction of elementary school students. Specifically, we have speculated that the positive relationship with school members (i.e., peers and teachers) would predict student resilience and life satisfaction. In addition, we set the relationships with teachers and peers as a culture that children share in school. Children would share beliefs, values and attitudes about social relationships, which can develop interactions with each other through this climate (Koth, Bradshaw, & Leaf, Reference Koth, Bradshaw and Leaf2008). Moreover, it was hypothesised that student resilience would predict children’s life satisfaction. However, considering the results of the previous studies mentioned above, the effects of peer and teacher relationships on children’s psychological wellbeing may be distinct from one another. Under this assumption, we attempted to verify the mediating effect of student resilience in two potential associations, namely of children’s life satisfaction with their relationship with teachers and with their relationship with peers. The research model (2-1-1 model) is presented in Figure 1.

Figure 1. Research model.

The hypotheses postulated for the purposes of this study are as follows.

Hypothesis 1 The variance of children’s student resilience and life satisfaction will differ between schools.

Hypothesis 2-1 Supportive teacher relationships as a school-level variable will predict children’s life satisfaction through student resilience.

Hypothesis 2-2 Supportive peer relationships as a school-level variable will predict children’s life satisfaction through student resilience.

Methods

Participants and procedures

This study used data from the Korean Child and Youth Panel Survey (KCYPS) longitudinal data collected by the National Youth Policy Institute (NYPI) of South Korea from 2010 to 2016. The KCYPS was intended to provide a comprehensive understanding of the growth and developmental processes of children and adolescents, as well as the problems and related factors experienced during the process. The respondents participated in this panel survey once a year from the 4th grade of elementary school to the 1st year of high school. NYPI reported collecting data from a total of 95 elementary schools, but unfortunately these data do not provide information about classroom environment. Further, some of the collected data variables are measured annually, while others are not. In particular, the student resilience variables used in this study were measured at 3-year intervals (e.g., 4th grade of elementary school, the 1st grade of middle school, the 1st grade of high school). Finally, our study excluded nine schools with fewer than 20 students in the school (i.e., small size alternative schools). The total number of respondents included in these 86 schools was 2233. At Time 1, all participants (N = 2233; 4th grade in elementary school; female 47.7%) completed the survey to measure the teacher relationship (no missing data), peer relationship (no missing data), and student resilience (missing data n = 1) as variables. After one year, at Time 2, participants (N = 2132; female 47.8%) were all 5th-grade elementary school students and the dependent variable (i.e., life satisfaction, missing data n = 101) was measured. According to Statistics Korea (2017), the reasons for the missing values during Time 2 were: participation rejection, 82.5%; failure to follow up, 16.7%; and other, 0.9%. To deal with missing data, we used multiple imputation (MI) by Mplus 5.0. All parents or guardians consented to children’s participation in the KCYPS.

Measures

Teacher and peer relationships

The School Life Adaptation Scale (Min, Reference Min1991) for elementary school students was revised by the National Youth Policy Institute (NYPI). The scale includes five items for the teacher relationship and five for the peer relationship. Further, it measures attitudes toward teachers and peers (e.g., ‘I talk freely and comfortably with my teacher’; ‘I share mine with classmates if a friend does not bring his or her own textbook or supplies’), and the level of intimacy with them (e.g., ‘I hope my teacher will be my homeroom teacher again next year’; ‘I get along well with my classmates’). Participants were required to rate the items on a Likert-type scale ranging from 1 (strongly disagree) to 4 (strongly agree). Higher scores indicate a higher quality level of teacher and peer relationships. Cronbach’s alphas in a previous study were .83 for the teacher relationship and .83 for the peer relationship (Jeong, Reference Jeong2009). In this study, the values were .84 and .73 respectively.

Student resilience

To measure student resilience, we used 14 items that were translated by Yoo and Shim (Reference Yoo and Shim2002) from the ER-89 scale (Block & Kremen, Reference Block and Kremen1996), and revised and supplemented by Kwon (Reference Kwon2002) for elementary, middle and high school students. The scale consists of items on active engagement in the world (e.g., ‘I enjoy dealing with new and unusual situations’), degree of solving problems with various strategies (e.g., ‘I quickly get over and recover from being startled’), and integrated ability to adapt (e.g., ‘I am willing to describe myself as a “strong” personality’). Participants were required to rate the items on a Likert-type scale ranging from 1 (strongly disagree) to 4 (strongly agree). Higher scores indicate a higher level of student resilience. Cronbach’s alpha in a previous study was .76 (Block & Kremen, Reference Block and Kremen1996), while in this study it was .85.

Students’ life satisfaction

To measure life satisfaction, three items of the scale developed by S. Kim and colleagues (Reference Kim, Im, Kim, Park, Yoo, Choi and Lee2006) were used. The scale includes questions about the degree of satisfaction with one’s life as follows: (1) ‘I enjoy my life’, (2) ‘I think my life is happy’, and (3) ‘I do not have many worries’. Participants were required to rate the items on a Likert-type scale ranging from 1 (strongly disagree) to 4 (strongly agree). Higher scores indicate a higher level of life satisfaction. Cronbach’s alpha in the previous study was .82 (Shim & Yi, Reference Shim and Yi2018), while it was .79 in this study.

Analysis strategy

First, descriptive statistics and correlational analyses were used for a basic understanding of the variables (i.e., teacher relationship, peer relationship, student resilience, and life satisfaction). Next, to test the hypotheses, multilevel structural equation modeling (MSEM) was performed using Mplus 5.0. MSEM is a method that combines multilevel modeling (MLM) and structural equation modeling (SEM). First, MLM is a general method for analysing mediating effects with nested data by delineating the variance of dependent variables into within-level (i.e., level-1) and between-level (i.e., level-2) effects, considering the hierarchical characteristics of the data. Furthermore, SEM is a method to analyse the complex structural relationships between variables. To evaluate the model, we used the comparative fit index (CFI), because the chi-squared test and Tucker-Lewis index (TLI) are sensitive to sample size, whereas the CFI is not (Hong, Reference Hong2000). MSEM has the advantage of effectively addressing the problems of convergence of within- and between-level effects, and the bias of indirect effect estimates, which are the main disadvantages of the earlier MLM. As such, MSEM enables examining the direct and indirect effects separately at each level (Preacher, Zhang, & Zyphur, Reference Preacher, Zhang and Zyphur2011).

In this study, the values of the independent variables (i.e., teacher and peer relationships) were calculated by the mean of each school, and thus considered as level-2 data. In addition, the mediator (i.e., student resilience) and dependent variable (i.e., life-satisfaction) were calculated by the mean of individual students as level-1 data. The multilevel model, in which the value of the independent variable (X) is estimated at level 2 and the mediator (M) and dependent variables (Y) at level 1, is called the 2-1-1 (X-M-Y) model. In the 2-1-1 model, the path of ‘2-1’, which indicates the relationships between X and M, only has effects at level 2. Further, in the ‘1-1’ path, which indicates the relationships between M and Y, there are both level-1 and level-2 effects. When estimating the mediating effects, if these effects are not separately estimated at each level, an error occurs because of conflation in the coefficient estimation. This will also influence the estimation of the distorted indirect effect. Therefore, it is appropriate to analyse the nested data using MSEM in a multilevel mediation analysis where the units of analysis are present on multiple layers (Preacher, Zyphur, & Zhang, Reference Preacher, Zyphur and Zhang2010). In the current study, the data were modelled based on the basic analysis model of 2-1-1 MSEM, which analyzes the measured variables at level 1 and level 2. A transformed z score was used for interpreting the results, and we applied Preacher’s Mplus syntax (http://quantpsy.org/supp.htm).

Results

The descriptive statistics and intercorrelations for the four variables in this study are presented in Table 1. Next, intraclass correlations (ICC) were calculated with student resilience and life satisfaction at level 1 to test Hypothesis 1. As a result, regarding both the teacher and peer relationships, the ICCs for student resilience and life satisfaction were .05 and .04 respectively, indicating that 5% and 4% of the variance of each variable differ between each school respectively (level 2). Generally, previous social research studies commonly reported ICC values between .05 and .20 (Peugh, Reference Peugh2010). Thus, the ICC for student resilience regarding the student-teacher relationship would be acceptable at a moderate level, whereas ICC for life satisfaction is somewhat lower. Also, several previous studies (Barcikowski, Reference Barcikowski1981; No, Lee, Lee, & Hong, Reference No, Lee, Lee and Hong2017) have suggested that it is appropriate to use multilevel modelling if the individuals are nested in the groups, even with low ICC. Therefore, in this study, multilevel analyses were applied, and Hypothesis 1 is supported.

Table 1. Correlations Among Research Variables

Note: **p < .01; Upper: Level-2 (schools n = 86), Lower: Level-1 (students n = 2233). Min, Minimum value; Max, Maximum value; S, Skewness value, K, Kurtosis value.

Next, to test Hypotheses 2-1 and 2-2, Baron and Kenny’s (Reference Baron and Kenny1986) three-step model for analysing mediation was applied. Shown in Table 2, in the first step, the teacher relationship (X) significantly predicted student resilience (M; B = .48, p = .000). This result indicates that the schools with supportive student-teacher relationships would be related to higher student resilience for children. In the second step, the teacher relationship (X) significantly predicted students’ life satisfaction (Y; B = .10, p = .001). This means that the schools with supportive student-teacher relationship would be related to higher life satisfaction for children. In the third step, it was investigated whether the effect of the independent variable (i.e., teacher relationship) on the dependent variable (i.e., students’ life satisfaction) changed when controlling for the effect of the mediator (i.e., student resilience). The results showed that the teacher-student relationship had no significant effect on students’ life satisfaction when controlling for student resilience (B = -.13, p = .220). As such, the direct effect of the teacher relationship on children’s life satisfaction was not significant. Also, the effect of student resilience on students’ life satisfaction was significant at both level 1 (B = .20, p = .000) and level 2 (B = 1.03, p = .002). The total effect of student resilience on students’ life satisfaction, encompassing level 1 and level 2, was also positively significant (B = 1.23, p = .000). These results indicate that student resilience fully mediated the student-teacher relationship and students’ life satisfaction. In addition, the indirect effect of student resilience, which differed at each level, was significant (B = .23, 95% CI [.01, .44]). Finally, the CFI was .93. Therefore, Hypothesis 2-1 was supported.

Table 2. Multilevel Mediation: 2-1-1

In Table 2, in the first and second steps, peer relationship (X) significantly predicted student resilience (M; B = .54, p = .000) and students’ life satisfaction (Y; B = .12, p = .000). However, in the final step, the results indicate that peer relationship had no significant effect on students’ life satisfaction when controlling for student resilience (B = -.71, p = .610). Moreover, the effect of student resilience on students’ life satisfaction was nonsignificant at the between level (B = 2.19, p = .440), but it was significant at the within level (B = .18, p = .000). These results indicate that the mediating effect of student resilience on the relationship between peer relationships and life satisfaction can only occur at the individual level and is not due to the influence of the school atmosphere (or culture). In addition, the total effect of student resilience on students’ life satisfaction, encompassing level 1 and level 2, was also insignificant (B = 2.37, p = .403). Finally, the CFI score was .84. Therefore, Hypothesis 2-2 was not supported.

Discussion

School is a primary developmental setting that not only promotes the acquisition of developmental competencies necessary for academic success, subjective wellbeing and resiliency in life, but also prevents social, emotional, behavioural and academic difficulties (Felner et al., Reference Felner, Favazza, Shim, Brand, Gu and Noonan2001). The results of the study showed that the positive and supportive relationships at school played a role in improving children’s life satisfaction. The findings and implications of this study are as follows.

First, there was a difference between schools in student resilience and life satisfaction; thus, Hypothesis 1 is supported. This makes it possible to infer that student resilience and life satisfaction may vary, not only by individual characteristics, but by the characteristics shared by the schools. Although the influence of school factors shown in this study was low at 4–5%, it is interesting that student resilience, which has been considered as an individual trait, can vary significantly depending on the characteristics of the organisation. In fact, previous studies have directly identified that the level of student resilience can vary depending on the characteristics of the school. However, Sung and Choi (Reference Sung and Choi2018) suggested that the level of student resilience of children would vary according to the characteristics of the classroom environment, which are formed by teacher factors. In other words, student resilience is an internal factor, such as personality and traits, but it can be changed by external factors, which can influence children’s life satisfaction. Thus, we will discuss the implications of this in a comprehensive way, along with other findings from the presented study.

In this study, student resilience was found to be mediated by student-teacher relationships and students’ life satisfaction. This result suggests that the positive relationships with teachers at school can provide a context in which students can develop their psychological, cognitive and socially resilient abilities, which can improve children’s life satisfaction. Thus, Hypothesis 2-1 is supported; however, Hypothesis 2-2 cannot be supported, since another finding shows that peer relationships did not predict student resilience, nor did it predict life satisfaction when student resilience was controlled.

A question remains regarding why peers and teachers have different effects on children’s student resilience and life satisfaction. In a previous research (Wang & Eccles, Reference Wang and Eccles2012), peer social support predicted students’ school compliance (i.e., behavioural engagement) more strongly and school identification (i.e., emotional engagement) less strongly, compared to social support by teachers. In addition, after the effects of relatedness or support to teachers were controlled, the relatedness to peers cannot make contributions to children’s school engagement or other academic outcomes (Ryan et al., Reference Ryan, Stiller and Lynch1994), and perceived peer support contributes to students’ expectancies for success, but not to their achievement values nor to their effort or performance (Goodenow, Reference Goodenow1993). This means that the influence of peer relationships on children may involve the effects of teachers. In self-determination theory (SDT), children are most motivated to learn when adults support their need to feel competent and they feel positively related to others and autonomous (Hamre, Pianta, Mashburn, & Downer, Reference Hamre, Pianta, Mashburn and Downer2007). Further, the cognitive and linguistic development of children depends on the opportunities that adults provide to express skills and scaffold more complex ones (Vygotsky, Reference Vygotsky, Light, Sheldon and Woodhead1991). In addition, the role of the teacher in managing students’ behaviour, time and attention in the classroom is known to play an important role in the development of the brain in relation to children’s self-regulation (Blair, Reference Blair2002). These previous studies can be significant in interpreting the results of our research, considering that student resilience regulates ego-control abilities, which means cognitive, emotional and social competencies for the active challenge and engagement of children themselves. Furthermore, it is noteworthy that children tend to associate with peers who share similar motivational orientations. Lynch and Cicchetti (Reference Lynch and Cicchetti1997) emphasised that this is the reason why peer relationships and student-teacher relationships have different influences on children. Also, considering that peer relationships are measured in a shared atmosphere throughout the school, children in a large peer group may have more natural and relevant information-sharing compared to close intimacy (Wentzel, Reference Wentzel, Elliot and Dweck2017). This implies that advanced and developmental interactions with teachers can promote the growth of student resilience, while interactions with peers who have similar developmental levels could not serve as an appropriate scaffold in this process. Overall, in the context of providing emotional support, student resilience could be enhanced with appropriate motivation for learning and engagement, opportunities to learn strategies that are slightly higher than one’s own, and management of self-regulatory behaviour.

Practical implications

In previous research (Hamre & Pianta, Reference Hamre, Pianta, Pianta, Cox and Snow2007), interactions with teachers in classrooms are the proximal processes that determine the extent to which schooling effectively leads to children’s development and learning. According to such studies, the CLASS Framework shows three domains organised by teacher-student interactions in the classroom. Concretely, in the classroom, it is suggested that teachers attempt to provide emotional support, effective behaviour management strategies for enhancing the children’s self-regulatory mechanisms (i.e., classroom organisation), and instructional support for the children’s cognitive development. Specifically, schools need to build, strengthen and promote supportive relationships as well as to educate people about resilience. Also, it is important for schools to focus on improving students’ autonomy and responsibility, and in this process, they need to create opportunities for personal challenges. What should not be overlooked is that any approach to building child resilience needs to take into account the individual child, their needs and their unique circumstances (Beyond Blue Ltd., Reference Blue Ltd2017).

In conclusion, we have evaluated the role of teachers in classrooms and schools. First, to develop children’s resilient psychological, behavioural and social abilities, it is suggested that teachers ensure the school environment is characterised by a safe and positive emotional climate. To do this, it is recommended that teachers strive to establish a relationship that continuously provides care and protection for students. Taylor and colleagues (Reference Taylor, Sulik, Eisenberg, Spinrad, Silva, Lemery-Chalfant and Verrelli2014) report that the quality of parenting, such as maternal sensitivity and warmth, combined with genetic factors, affects student resilience. In elementary schools, the teacher acts in loco parentis — in place of the parent. Therefore, teachers’ collaborative approach and providing trust and support, such as high expectations for success, willingness to listen and personal concern can create a school climate that improves children’s student resilience (Cohen, Reference Cohen, Goldstein and Brooks2013). Children continuously exposed to this school climate will have the ability to recover quickly because of their higher psychological stability, even if they experience stressful situations or unexpected events. Furthermore, the role of a teacher as a caregiver and supporter, although not directly reported in this study, suggests the possibility that schools and teachers could serve as a protective factor to enhance the inner resources of children from disadvantaged or psychologically vulnerable families. Thus, school must be a context that ensures not only children’s physical safety, but also their emotional and social security.

Second, it is suggested that teachers set positive and high expectations for students. According to previous research (Chu, Reference Chu2015), a student who has experienced high expectations from teachers would believe that ‘I am a competent and capable person’. In addition, teachers with high and positive expectations for students can clearly communicate a message of trust and acceptance, and that they believe ‘students can make better choices’. Positive class management strategies, including positive feedback and praise based on the teacher’s high expectations of students, can help students learn more effectively what is appropriate and desirable in any given context. This implies that teachers’ expectations, including their trust in students’ potential, may provide students with more opportunities to engage actively in the world and develop problem-solving strategies. Thus, it is necessary for teachers to devise various curricula and teaching methods that meet students’ interests and strengths. In addition, it is necessary to expand decision-making opportunities, such as participation and selection of students for problem solving through the provision of appropriate scaffolding (Vitto, Reference Vitto2003).

Finally, it is recommended that teachers provide meaningful opportunities for students to develop their own resilience by having them participate in and contribute to community activities. The National School Climate Council (Reference School Climate Council2007) in the United States suggests the following as a way to promote effective teaching, learning and comprehensive school improvement (www.schoolclimate.org/climate/standards.php): ‘The school community develops meaningful and engaging practices, activities, and norms that promote social and civic responsibilities and commitment to social justice.’ Teachers can create such opportunities by allowing students to express their opinions freely on all issues in the classroom, allowing them to be creative and imaginative, and providing opportunities for community service or cooperation with peers. These strategies can consolidate student-class and student-school ties, provide practical opportunities to develop social skills, and reduce students’ possibilities of engaging in disruptive behaviours. This experience of participation and contribution to a bigger society can lead students to believe that ‘I am an important person who can contribute to society in a meaningful way’ by enhancing self-control ability and self-efficacy, which can facilitate the development of resiliency (Chu, Reference Chu2015).

Study limitations

This study has some limitations due to the use of panel data. First, the relational factors were measured by the school unit, not class. Generally, it may be more appropriate to measure relationships with teachers and peers on a class-level basis, considering that elementary school life is mainly class-based. Also, the data included the problem of measurement, as not all of the variables are measured at every point. In particular, there was the limitation that student resilience was measured only at Time 1, which is at the same point as the relational factors. This undermines the reasoning of clear causal relationships on social relationships at schools and student resilience development. In addition, interpretation of the exact effects of teachers and peers on life satisfaction can be hampered. However, rather than the interpretation that student resilience as an individual trait would affect the climate shared by the students at the school, the interpretation that the atmosphere of the school may affect the individual’s cognitive, emotional and social development could be considered more reasonable. Furthermore, the assessment of the relational factors at school could have been more appropriate if measured in more progressive ways, such as using network-data rather than a survey.

Conclusions

The study suggests that the supportive and positive relationships with teachers collectively shared by students within schools can affect children’s self-elastic development and life satisfaction. This issue is interesting to researchers, and it has important implications for practitioners and educators. We believe that this and future studies on the quality of social relationships at school will be able to contribute to enriching every child’s life and their competencies for leading an adaptive life.

Ethics: informed consent obtained

All parents or guardians consented to children’s participation in the KCYPS.

References

Barcikowski, R.S. (1981). Statistical power with group mean as the unit of analysis. Journal of Educational and Behavioral Statistics, 6, 267285.10.3102/10769986006003267CrossRefGoogle Scholar
Baron, R.M., & Kenny, D.A. (1986). The moderator–mediator variable distinction in social psychological research: Conceptual, strategic, and statistical considerations. Journal of Personality and Social Psychology, 51, 11731182.10.1037/0022-3514.51.6.1173CrossRefGoogle ScholarPubMed
Blue Ltd, Beyond. (2017). Building resilience in children aged 0–12: A practice guide. https://www.beyondblue.org.au/who-does-it-affect/children/building-resilience-in-children-aged-0-12 Google Scholar
Blair, C. (2002). School readiness: Integrating cognition and emotion in a neurobiological conceptualization of children’s functioning at school entry. American Psychologist, 57, 111127.10.1037/0003-066X.57.2.111CrossRefGoogle Scholar
Block, J. (Originator). (1965). Ego Resilience Scale (ER89). [Psychological questionnaire].Google Scholar
Block, J., & Block, J. (1980). The role of ego-control and ego resiliency in the organization of behavior. In Collins, W.A. (Ed.), The Minnesota Symposium on Child Psychology: Vol. 13. Development of cognition, affect, and social relations (pp. 39101.). Hillsdale, NJ: Lawrence Erlbaum.Google Scholar
Block, J., & Block, J.H. (2006). Venturing a 30-year longitudinal study. American Psychologist, 61, 315327.10.1037/0003-066X.61.4.315CrossRefGoogle ScholarPubMed
Block, J., & Kremen, A.M. (1996). IQ and ego-resiliency: Conceptual and empirical connections and separateness. Journal of Personality and Social Psychology, 70, 349361.10.1037/0022-3514.70.2.349CrossRefGoogle ScholarPubMed
Bradshaw, J., Martorano, B., Natali, L., & Nueboug, C. (2013). Children’s subjective well-being in rich countries. Child Indicators Research, 6, 619635.CrossRefGoogle Scholar
Chu, B.W. (2015). Teachers’ roles for improving students’ resilience in moral education. Journal of Ethics Education Studies, 37, 5174.CrossRefGoogle Scholar
Chuang, S.S., Lamb, M.E., & Hwang, C.P. (2006). Personality development from childhood to adolescence: a longitudinal study of ego-control and ego-resiliency in Sweden. International Journal of Behavioral Development, 30, 338343.10.1177/0165025406072795CrossRefGoogle Scholar
Cohen, J. (2013). Creating a positive school climate: A foundation for resilience. In Goldstein, S. & Brooks, R. (Eds.), Handbook of resilience in children (pp. 411423). Boston, MA: Springer.CrossRefGoogle Scholar
Currie, C., Zanotti, C., Morgan, A., Currie, D., Looze, M., Roberts, C., Samdal, O., Smith, O.R.F., & Barnekow, V. (2012). Social determinants of health and well-being among young people. Health behaviour in school-aged children (HBSC) study: International report from the 2009/2010 survey. Copenhagen, Denmark: World Health Organization.Google Scholar
Diener, E., Suh, E.M., Lucas, R.E., & Smith, H.L. (1999). Subjective well-being: Three decades of progress. Psychological Bulletin, 125, 276302.CrossRefGoogle Scholar
Farkas, D., & Orosz, G. (2015). Ego-resiliency reloaded: A three-component model of general resiliency. PLoS ONE, 10, e0120883.10.1371/journal.pone.0120883CrossRefGoogle ScholarPubMed
Felner, R.D., Favazza, A., Shim, M., Brand, S., Gu, K., & Noonan, N. (2001). Whole school improvement and restructuring as prevention and promotion: Lessons from STEP and the project on high performance learning communities. Journal of School Psychology, 39, 177202.CrossRefGoogle Scholar
Furrer, C., & Skinner, E. (2003). Sense of relatedness as a factor in children’s academic engagement and performance. Journal of Educational Psychology, 95, 148162.10.1037/0022-0663.95.1.148CrossRefGoogle Scholar
Gjerde, P.F., Block, J., & Block, J.H. (1986). Egocentrism and ego resiliency: personality characteristics associated with perspective-taking from early childhood to adolescence. Journal of Personality and Social Psychology, 51, 423434.10.1037/0022-3514.51.2.423CrossRefGoogle ScholarPubMed
Goodenow, C. (1993). Classroom belonging among early adolescent students: Relationships to motivation and achievement. Journal of Early Adolescence, 13, 2143.CrossRefGoogle Scholar
Hamre, B.K., & Pianta, R.C. (2007). Learning opportunities in preschool and early elementary classrooms. In Pianta, R., Cox, M., & Snow, K. (Eds.), School readiness & the transition to kindergarten in the era of accountability (pp. 4984). Baltimore, MD: Brookes.Google Scholar
Hamre, B.K., Pianta, R.C., Mashburn, A.J., & Downer, J.T. (2007). Building a science of classrooms: Application of the CLASS framework in over 4,000 U.S. early childhood and elementary classrooms. New York, NY: Foundation for Child Development.Google Scholar
Han, J. (2013). Mediation effect of ego-resilience in the relationship between the teacher’s facilitative communication perceived by children and school happiness (Unpublished master’s dissertation). Gyeongin National University of Education, Gyeonggi-do, South Korea.Google Scholar
Hong, S. (2000). The criteria for selecting appropriate fit indices in structural equation modeling and their rationales. Korean Journal of Clinical Psychology, 19, 161177.Google Scholar
Huebner, E.S., Suldo, S.M., Smith, L.C., & McKnight, C.G. (2004). Life satisfaction in children and youth: Empirical foundations and implications for school psychologists. Psychology in the Schools, 41, 8193.CrossRefGoogle Scholar
Jang, S.H., Choi, E.H., & Lee, J.Y. (2016). The mediating effect of ego-resilience in the effect of elementary students’ psychological well-being on adjustment to school life and everyday life stress. The Journal of Child Education, 25, 353364.Google Scholar
Jeong, H.S. (2009). the influence of attachment to mother and school life adjustment on elementary school students’ optimism (Unpublished master’s dissertation). Dankook University, Gyeonggi-do.Google Scholar
Jeong, Y., & Kim, J. (2015). A concept analysis of ego-resiliency. Korean Journal of Adult Nursing, 27, 644655.10.7475/kjan.2015.27.6.644CrossRefGoogle Scholar
Jo, S. (2014). Resilience improvement program on the school adjustability and stress of elementary school students (Unpublished master’s dissertation). Busan National University, Busan, South Korea.Google Scholar
Klohnen, E.C. (1996). Conceptual analysis and measurement of the construct of ego-resiliency. Journal of Personality and Social Psychology, 70, 10671079.CrossRefGoogle ScholarPubMed
Kim, H.S. (2013). The effects of ego-resilience in the relationship between the daily stress and psychological maladjustment of elementary school students (Unpublished master’s dissertation). Ajou University, Gyeonggi-do, South Korea.Google Scholar
Kim, S., Im, J., Kim, S., Park, S., Yoo, S., Choi, J., & Lee, G. (2006). Korea Youth Development Indicators Survey I: Verification of measurement indicators in result. Seoul, South Korea: Nation Youth Policy Institute.Google Scholar
Kim, S., Kang, K., & Bang, K. (2010). Contents analysis of meaning in life of higher grade elementary school students. Child Health Nursing Research, 16, 287296.Google Scholar
Koth, C.W., Bradshaw, C.P., & Leaf, P.J. (2008). A multilevel study of predictors of student perceptions of school climate: The effect of classroom-level factors. Journal of Educational Psychology, 100, 96104.CrossRefGoogle Scholar
Kwon, J.E. (2002). The relation of ego-resilience, parent and peer attachment, and problem-solving. (Unpublished master’s dissertation). Ewha Women’s University, Seoul, South Korea.Google Scholar
Lee, M.J. (2010). The relationship between elementary school children’s academic stress, ego-resilience, social support and their adaptation (Unpublished master’s dissertation). Daegu University, Daegu, South Korea.Google Scholar
Lewis, A.D., Huebner, E.S., Malone, P.S., & Valois, R.F. (2011). Life satisfaction and student engagement in adolescents. Journal of Youth and Adolescence, 40, 249262.10.1007/s10964-010-9517-6CrossRefGoogle ScholarPubMed
Lim, S.H. (2005). The effect of children’s ego-resilience on stress on stress and stress-coping style (Unpublished master’s dissertation). Sookmyung, Women’s University, Seoul, South Korea.Google Scholar
Lynch, M., & Cicchetti, D. (1997). Children’s relationships with adults and peers: An examination of elementary and junior high school students. Journal of School Psychology, 35, 8199.10.1016/S0022-4405(96)00031-3CrossRefGoogle Scholar
Mellor, D., Stokes, M., Firth, L, Hayashi, Y., & Cummins, R. (2008). Need for belonging, relationship, satisfaction, loneliness, and life satisfaction. Personality and Individual Differences, 45, 213218.10.1016/j.paid.2008.03.020CrossRefGoogle Scholar
Midgley, C., Feldlauffer, H., & Eccles, J. (1989). Student/teacher relations and attitudes toward mathematics before and after the transition to junior high school. Child Development, 60, 981992 10.2307/1131038CrossRefGoogle ScholarPubMed
Min, B. (1991). The effect of school adjustment and self-concept on academic achievement (Unpublished master’s dissertation). Hongik University, Seoul, South Korea.Google Scholar
Moos, R.H. (1979). Evaluating educational environments. San Francisco, CA: Jossey-Bass.Google Scholar
Morrison, G.M., & Allen, M.R. (2009). Promoting student resilience in school context. Theory Into Practice, 46, 162169.10.1080/00405840701233172CrossRefGoogle Scholar
School Climate Council, National. (2007). The School Climate Challenge: Narrowing the gap between school climate research and school climate policy, practice guidelines and teacher education policy. Retrieved from http://www.schoolclimate.org/ climate/advocacy.php.Google Scholar
Ng, Z.J., Huebner, E.S., Hills, K.J., & Valois, R.F. (2018). Mediating effects of emotion regulation strategies in the relations between stressful life events and life satisfaction in a longitudinal sample of early adolescents. Journal of School Psychology, 70, 1626.CrossRefGoogle Scholar
No, U., Lee, H., Lee, E., & Hong, S. (2017). Changes in students’ school violence during middle school: Applying multivariate multilevel growth models to testing individual and school effects. Studies on Korean Youth, 28, 3765.Google Scholar
Park, Y. (2010). The mediating effects of ego-resiliency, social support in the relation between stress and school adjustment: With its focus on adolescents living in orphanages (Unpublished master’s dissertation). Kyungpook National University, Daegu, South Korea.Google Scholar
Paulson, B.L., & Everall, R.D. (2001). The teen suicide research project. The Alberta Journal of Educational Research, 47, 9194.Google Scholar
Peugh, J.L. (2010). A practical guide to multilevel modeling. Journal of School Psychology, 48, 85112.10.1016/j.jsp.2009.09.002CrossRefGoogle ScholarPubMed
Piko, B.F., & Hamvai, C. (2010). Parent, school and peer-related correlates of adolescents’ life satisfaction. Children and Youth Services Review, 32, 14791482.CrossRefGoogle Scholar
Preacher, K.J., Zhang, Z., & Zyphur, M.J. (2011). Alternative methods for assessing mediation in multilevel data: The advantages of multilevel SEM. Structural Equation Modeling, 18, 161182.10.1080/10705511.2011.557329CrossRefGoogle Scholar
Preacher, K.J., Zyphur, M.J., & Zhang, Z. (2010). A general multilevel SEM framework for assessing multilevel mediation. Psychological Methods, 15, 209233.CrossRefGoogle ScholarPubMed
Richardson, G.E. (2002). The metatheory of resilience and resiliency. Journal of Clinical Psychology, 58, 307321.CrossRefGoogle ScholarPubMed
Rubin, K.H., Bukowski, W.M., & Parker, J.G. (2006). Peer interactions, relationships, and groups. In Eisenberg, N., Damon, W., & Lerner, R.M. (Eds.), Handbook of child psychology (pp. 181). Hoboken, NJ: Wiley.Google Scholar
Ryan, R.M., & Grolnick, W.S. (1986). Origins and pawns in the classroom: Self-report and projective assessments of individual differences in children’s perceptions. Journal of Personality and Social Psychology, 50, 550558.10.1037/0022-3514.50.3.550CrossRefGoogle Scholar
Ryan, R.M., Stiller, J.D., & Lynch, J.H. (1994). Representations of relationships to teachers, parents, and friends as predictors of academic motivation and self-esteem. Journal of Early Adolescence, 14, 226249.CrossRefGoogle Scholar
Schwabe, F., Korthals, R., & Schils, T. (2019). Positive social relationships with peers and teachers as moderators of the Big-Fish-Little-Pond Effect. Learning and Individual Differences, 70, 2129.CrossRefGoogle Scholar
Schwarz, B., Mayer, B., Trommsdorff, G., Ben-Arieh, A., Friedlmeier, M., Lubiewska, K., Mishra, R., & Peltzer, K. (2012). Does the importance of parent and peer relationships for adolescents’ life satisfaction vary across cultures? The Journal of Early Adolescence, 32, 5580.10.1177/0272431611419508CrossRefGoogle Scholar
Shim, J.H., & Yi, K. (2018). A longitudinal analysis of the determinants of the life satisfaction among adolescents: Focusing on gender and academic characteristics. The Korea Educational Review, 24, 199225.10.29318/KER.24.1.8CrossRefGoogle Scholar
Shin, Y.J. (2005). Study on relationships among parental child-rearing attitude, self-resilience and school adjustment of elementary school students (Unpublished master’s dissertation). Gongju National University, Chungcheongnam-do, South Korea.Google Scholar
Stephens, T.M. (2013). Nursing student resilience: A concept clarification. Nursing Forum, 48, https://doi.org/10.1111/nuf.12015 CrossRefGoogle Scholar
Suldo, S.M., Riley, K.N., & Shaffer, E.J. (2006). Academic correlates of children and adolescents’ life satisfaction. School Psychology International, 27, 567582.10.1177/0143034306073411CrossRefGoogle Scholar
Sun, R.F., & Shek, D.L. (2013). Longitudinal influences of positive youth development and life satisfaction on problem behavior among adolescents in Hong Kong. Social Indicators Research, 114, 11711197.CrossRefGoogle Scholar
Sung, H., & Choi, H. (2018). The relationship among teacher burnout, students’ school adjustment and academic burnout: Multilevel mediation of ego resilience. The Korean Journal of School Psychology, 15, 2750.Google Scholar
Swanson, J., Valiente, C., & Lemery-Chalfant, K., & O’Brien, T.C. (2011). Predicting early adolescents’ academic achievement, social competence, and physical health from parenting, ego resilience, and engagement coping. Journal of Early Adolescence, 31, 548576.10.1177/0272431610366249CrossRefGoogle Scholar
Taylor, Z.E., Eisenberg, N., Spinrad, T.L., Eggum, N.D., & Sulik, M.J. (2013). The relations of ego-resiliency and emotion socialization to the development of empathy and prosocial behavior across early childhood. Emotion, 13, 822831.10.1037/a0032894CrossRefGoogle Scholar
Taylor, Z.E., Sulik, M.H., Eisenberg, N., Spinrad, T.L., Silva, K.M., Lemery-Chalfant, K., … Verrelli, B.C. (2014). Development of ego-resiliency: Relations to observed parenting and polymorphisms in the serotonin transporter gene during early childhood. Social Development, 23, 433450.10.1111/sode.12041CrossRefGoogle ScholarPubMed
Vitto, J.M. (2003). Relationship-driven classroom management: Strategies that promote student motivation. Thousand Oaks, CA: Corwin Press.Google Scholar
Vygotsky, L.S. (1991). Genesis of the higher mental functions. In Light, P., Sheldon, S. & Woodhead, M. (Eds.), Learning to think (pp. 3241). Florence, KY: Taylor & Frances/Routledge.Google Scholar
Wang, M., & Eccles, J.S. (2012). Social support matters: Longitudinal effects of social support on three dimensions of school engagement from middle to high school. Child Development, 83, 877895.10.1111/j.1467-8624.2012.01745.xCrossRefGoogle ScholarPubMed
Wentzel, K.R. (2017). Peer relationships, motivation, and academic performance at school. In Elliot, A. & Dweck, C. (Eds.), Handbook of competence and motivation (2nd ed., pp. 586603). New York, NY: Guilford.Google Scholar
Westling-Allodi, M.W. (2002). A two-level analysis of classroom climate in relation to social context, group composition, and organization of special support. Learning Environments Research, 5, 253274.10.1023/A:1021972206111CrossRefGoogle Scholar
Windle, G., Bennett, K.M., & Noyes, J. (2011). A methodological review of resilience measurement scales. Health and Quality of Life Outcomes, 9, Article no. 8.CrossRefGoogle Scholar
Yoo, S.K., & Shim, H.W. (2002). Psychological protective factors in resilience adolescents in Korea. The Korean Journal of Educational Psychology, 16, 189206.Google Scholar
Figure 0

Figure 1. Research model.

Figure 1

Table 1. Correlations Among Research Variables

Figure 2

Table 2. Multilevel Mediation: 2-1-1