Peers' perceived support,student engagement in academic activities and life satisfaction: A structural equation modeling approach

Abstract

This study investigates the relationships among peers' perceived support, life satisfaction, and student engagement in academic activities. Three hundred and fifteen Iranian students (172 boys and 143 girls) who were studying in one suburb of Tehran participated in this study. All participants were asked to complete Peers' Perceived Support scale (PPSS), Student Engagement in Academic Activities scale (SEAAS), and Brief Multi-dimensional Students Life Satisfaction Scale (BMSLSS). Structural equation modeling was used to analyse the data. According to the results, there are significant positive correlations between components of peers' perceived support, student engagement in academic activities, and life satisfaction in pairs. In two examined models, the direct and indirect effects of peers' perceived support on student engagement in academic activities and life satisfaction were significantly positive. In addition, life satisfaction and student engagement in academic activities had a mediating role and bi-directional effect in the surveyed models. In sum, the results of this research endorse not only the importance of peers' perceived support in enhancing student engagement in academic activities and life satisfaction but also the cross-effect of student engagement in academic activities and life satisfaction variables on each other.

Keywords

life satisfaction peer support structural equation modeling students engagement

According to self-determination theory, people interacting with the environment seek to achieve their basic needs including competence, autonomy, and relatedness (Deci & Ryan, 2000). When basic needs are satisfied and social environments provide opportunities for competence, autonomy, and positive interpersonal relationships, it may lead to increased life satisfaction (Diseth, Danielsen, & Samdal, 2012), and engagement in academic activities (Skinner & Belmont 1993). Currently, the expansion of information and communication technology (ICT) has led to substantial changes in people's interactions and family structure; thus, parents spend most of their time outside of the home. Consequently, peers have the potential to play an important role in improving psychological well-being and engagement in academic activities of adolescents. Fuligni (1997) believes that peers can help to create proper interaction, and instrumental and social protection in issues such as supporting each other to do homework and exhorting friendship between each other at school. Also, peers can have a prominent role in mental health and engagement in academic activities. For instance, adolescents' level of social support is related to their engagement in academic activities, because appropriate social support increases their image of competencies and abilities, and their engagement in academic activities (Connell & Wellborn, 1991; Skinner, Wellborn, & Connell, 1990). Furthermore, low levels of perceived social support by adolescents are related to disengagement in academic activities. Keresztes, Pilo, Pluhar, and Page (2008) believed that high levels of involvement in peer-based activities during adolescence affect adolescents' behaviors and psychological well-being. Therefore, peer groups are important and valuable in increasing and improving students' life and their engagement in academic activities.

Student engagement in academic activities

Student engagement in academic activities is an important cognitive-motivational variable that has occupied several scholars during recent decades. Shernoff and Schmidt (2008) define student engagement as learners' synchronic perception of concentration, interests, and satisfaction while involving and interacting with an activity. Atweh, Bland, Carrington, and Cavanagh (2008) believed that the perception of engagement in academic activities, from a critical and progressive viewpoint, is relevant to questions about achieving the goal of schooling and types of tasks that students are expected to be engaged in. Christenson et al. (2008) considered engagement in academic activities as a valuable activity that not only focuses on behavioral and academic skills, but also on psychological and social aspects of education for students. In most previous studies, the structure of engagement in academic activities consists of behavioral, academic, psychological and cognitive components, suggesting that student engagement in academic activities is multidimensional. The cognitive dimension of student engagement refers to the level of investment in learning that focuses on incorporating thoughtfulness and enthusiasm to understand complex ideas and dominate difficult skills (Fredricks, Blumenfeld, & Paris, 2004). The behavioral dimension of student engagement refers to the emotional relationships and dependency between a student and school (Jimerson, Campos, & Greif, 2003). Finally, the academic dimension of student engagement refers to the amount of time a students dedicates to academic activities, the credits acquired by students, and the completion of homework (Furlong & Christenson, 2008).

The results of the empirical research about engagement in academic activities show that students' engagement is not only positively related to their academic achievement but also has a significant relationship with their life satisfaction level (Lewis, Huebner, Malone, & Valois, 2011; Willms, 2003), although the review of related literature shows various results. For example, Lewis et al. (2011) presented a model of bi-directional relationships between global life satisfaction and student engagement variables. Likewise, the studies finding of Frisch et al. (2005) and Gilman and Huebner (2006) have demonstrated that high life satisfaction increases the school engagement among college students.

Life satisfaction has been defined as a personal cognitive evaluation of one's life quality or specific aspects of life such as family, friends, and society (Pavot, Diener, Colvin, & Sandvik, 1991). Life satisfaction is an important factor in mental and psychological well-being because this variable is related to personal jubilation and has positive social, psychological, behavioral, and personal outcomes (Gilman & Huebner, 2003). Indicators relevant to life satisfaction generally focus on perceived quality of life (Suldo, Riley, & Shaffer, 2006) and are considered a valuable structure because of increased emphasis on well-being among many researchers (Diener, 2000). Despite the important position of life satisfaction, past studies (Seligson, Huebner, & Valois, 2003; Verkuyten and Thijs (2002) have stated that there is little information available about the quality of life satisfaction in children and youth.

Purpose of current study

Vygotsky (1978) believed that people's interactions in the social context have an important role in growth, producing knowledge, and learning. Moreover, according to Nakamura and Csikszentmihalyi (2002), people's psychological status is affected by their engagement in activities, and their success in solving challenging problems may improve their psychological well-being. The challenging tasks, however, should not be too difficult and should be designed in a way that makes them interesting and satisfying to the student. Therefore, students' high engagement in academic activities, if satisfying and interesting, may help to improve their life satisfaction. On the other hand, current theoretical and empirical studies show that being friends with optimistic people increases the level of engagement in academic activities (Berndt, 1999; Chen, 2005; Malecki & Demaray, 2003; Simons-Morton & Chen 2009; Wentzel, 1998) and life satisfaction (Diener & Diener, 2009; Helsen, Vollebergh, & Meeus, 2000; Kef & Dekovic, 2004; Keresztes et al., 2008; Meeus, 1994; Rigby, 2000; Shahyad, Besharat, Asadi, Alipour, & Miri, 2011). Additionally, student engagement in academic activities and life satisfaction in adolescents have a bi-directional relationship with each other (Huebner, Antaramian, Hills, Lewis, & Saha, 2011; Lewis et al., 2011; Shochet, Dadds, Ham, & Montague, 2006; Willms, 2003), and few studies have examined these relationships in cause–effect models.

Considering the cultural and social context of peers' perceived support, student engagement in academic activities, and life satisfaction variables is important, because how and what students think can be influenced by culture and the social contexts in which they are living (Samaras & Gismondi, 1998). Park and Huebner (2005) and Suh, Diener, Oishi, and Triandis (1998) suggested that most studies about life satisfaction and interpersonal variables have been conducted in Western cultures. These studies have shown that Western countries (e.g. North American countries, Western European countries) have individualistic cultures in which adolescents pay more attention to personal feelings, thoughts, and internal attributes than in Asian countries which tend to have collectivistic cultures where adolescents place less emphasis on the self. Therefore, when the findings of these studies are generalized to children and youth from other cultures they can be ambiguous and difficult to interpret. Iranian culture, like many other Eastern cultures, is traditionally collectivist (Nikogoftar, 2015). In such a context, students tend to work collaboratively and learn from each other, and schools encourage this process. More recently, individualism is increasing in Iranian society and families are encouraging children to act in a way that provides for their individual future interests.

Given these considerations, this study aimed to demonstrate the relationships between peers' perceived support, life satisfaction, and student engagement in academic activities among the Iranian students. Accordingly, the present research tries to test two questions:

Does student engagement in academic activities play a mediating role between peers' perceived support and life satisfaction?

Does life satisfaction play a mediating role between peers' perceived support and student engagement in academic activities?

Methodology

Participants and procedure

After eliminating cases with incomplete and missing data, the research sample consisted of 315 students (143 girls or 45.4% of the sample, and 172 boys or 54.6% of the sample) from the 11th grade of high school in one suburb of Tehran, Iran, through cluster random sampling from ten schools. The participants' age ranged from 14 to 17 (M = 15.08, SD = 1.02). The students' economic status was classified as poor (45.20%), moderate (44.90%), and good (9.90%). Research data were collected in cooperation with the manager, deputies, and teachers, and by the researcher attending the class. The researcher delivered necessary information about completing the scales and ensured respondents that the answers would be kept confidential. It took about 30 minutes for the respondents to complete the scales.

Measures

The eight-item Peers’ Perceived Support Scale (PPSS, Khaleghinezhad, & Amraei, 2013) was used in this study to measure Peers’ Perceived Support. The Iranian PPS consists of two subscales of perceived support: emotional support (five items; e.g. ‘if I do a suitable activity in my school, my friends encourage me’) and cognitive support (three items; e.g. ‘I discuss with my friends the university major that I am going to study in future’). Responses were scored using a four-point scale (ranging from 1 = strongly disagree to 4 = strongly disagree). High scores on this scale indicate high perceived support. The overall test–retest reliability of this scale for total scale has been shown to be 0.84, and for subscales of emotional support and cognitive support was 0.71 and 0.81, respectively (Khaleghinezhad & Amraei, 2013). In the present study, the reliability of the scale was studied by internal consistency (using ronbach's coefficient alpha) and the validity was examined through confirmatory factor analysis (CFA). Cronbach's alpha coefficient for the total scale was 0.76, and for the emotional and cognitive subscales was 0.75 and 0.59, respectively. The indices of CFA for the total scale (χ²/df = 2.35, RMSEA = 0.06, GFI = 0.97, AGFI = 0.93, CFI = 0.97), and two subscales of emotional support (χ²/df = 1.26, RMSEA = 0.00, GFI = 0.99, AGFI = 0.98, CFI = 1), and cognitive support (χ²/df = 0.00, RMSEA = 0.00, GFI = 1, AGFI = 1, CFI = 1) revealed that the models sufficiently fit the data.

The level of student engagement in academic activities was measured using the Iranian Student Engagement in Academic Activities Scale (SEAAS, Hakimzadeh, Besharat, & Khaleghinezahd., 2013). The scale consists of 24 statements and four subscales of cognitive engagement (six items; e.g. ‘I ask questions to ensure understanding issues’), psychological engagement (six items; e.g. ‘School and classroom are fun for me’), academic engagement (six items; e.g. ‘I make a good effort to succeed in the class’), and behavioral engagement (six items; e.g. ‘I always follow school regulations’). Responses were scored by a four-point scale (ranging from 1 = strongly disagree to 4 = strongly disagree). Hakimzadeh et al. (2012) reported a good internal consistency with Cronbach's alpha coefficient 0.85 for the scale and internal consistency ranged from 0.61 to 0.73 for the subscales of student engagement in academic activities scale. Meanwhile, good test–retest reliability after a two-week period was also reported with correlation coefficients ranging from 0.71 to 0.78 for the subscales and 0.75 for student engagement in academic activities scale. In this study, the validity of the instrument was analysed by CFA. The goodness-of-fit indices obtained from CFA for total scales (χ²/df = 1.77, RMSEA = 0.04, GFI = 0.90, AGFI = 0.87, CFI = 0.95) and four subscales of cognitive engagement (χ²/df = 1.66, RMSEA = 0.04, GFI = 0.98, AGFI = 0.96, CFI = 0.99), psychological engagement (χ²/df = 1.92, RMSEA = 0.05, GFI = 0.98, AGFI = 0.96, CFI = 0.98), scientific engagement (χ²/df = 2.80, RMSEA = 0.07, GFI = 0.98, AGFI = 0.94, CFI = 0.97), and behavioral engagement (χ²/df = 0.94, RMSEA = 0.00, GFI = 0.99, AGFI = 0.98, CFI = 1) show that the models sufficiently fit the data.

The Brief Multi-dimensional Students Life Satisfaction Scale (BMSLSS, Seligson et al., 2003) was used to measure the level of students' life satisfaction. This scale includes five items, each dedicated to one of the five life satisfaction scales including family, school, friends, self, and environment. Items are rated on a four-point scale, in which the maximum and minimum score were respectively 20 and 5; the sum score of scales shows the overall level of life satisfaction. Likewise, given the previous literature (Seligson et al. 2003; Siyez & Kaya, 2007; Tian, Zhang, & Huebner, 2014) it is possible to report each item of the BMSLSS individually. Seligson et al. (2003) have demonstrated that this scale includes properties of psychometrics needed to measure level of satisfaction in adolescents. In the present study, the reliability coefficient using Cronbach's alpha coefficient for this scale was 0.67. Also, results of confirmatory factor analysis showed that the model significantly fit the data (χ²/df = 0.98, RMSEA = 0.00, GFI = 1, AGFI = 0.98, CFI = 1).

Statistical analysis

Data were analysed using LISREL 8.72 and SPSS 16. Data analysis was executed in two steps. Firstly, descriptive statistics and zero-order correlations of all variables were investigated. Secondly, research conceptual models were studied through structural equation models and maximum likelihood estimation. To investigate the characteristics of participants, mean descriptive statistics, standard deviations, skewness, kurtosis, and zero-order correlations between variables were evaluated.

Results

As presented in Table 1, mean and standard deviation of scores show appropriate distribution, and results of skewness and kurtosis statistics show normal distribution of research variables. Also, according to the results presented in Table 1, all of the correlation coefficients among the manifest indicator variables are statistically significant at the p < 0.01 level.

Table 1.

Descriptive statistics and Pearson correlation among variables.

Variables	1	2	3	4	5	6	7	8	9	10	11	12
1.CS	1
2.ESU	0.43**	1
3.CE	0.21**	0.34**	1
4.PE	0.12**	0.37**	0.32**	1
5.AE	0.32**	0.41**	0.32**	0.50**	1
6.BE	0.21**	0.45**	0.37**	0.49**	0.47**	1
7.ES	0.09	0.16**	0.18**	0.07**	0.03	0.07	1
8.FS	0.12**	0.31**	0.20**	0.19**	0.14**	0.29**	0.33**	1
9.SS	0.34**	0.45**	0.19**	0.35**	0.30**	0.40**	0.19**	0.26**	1
10.PS	0.14**	0.32**	0.22**	0.25**	0.18**	0.33**	0.26**	0.33**	0.39**	1
11.SS	0.05	0.34**	0.28**	0.29**	0.25**	0.35**	0.26**	0.33**	0.28**	0.54**	1
12.GLS	0.13**	0.42**	0.30**	0.32**	0.25**	0.42**	0.36**	0.72**	0.40**	0.79**	0.80**	1
M	9.89	15.56	16.43	19.11	18.03	18.43	3.01	3.36	3.28	3.29	3.26	9.93
SD	1.87	3.11	1.53	2.88	2.24	2.81	0.96	0.83	0.77	0.75	0.82	1.86
SK	−0.87	−0.65	−0.49	−0.30	−0.49	−0.27	−0.72	−1.17	−1.04	−0.90	−1.39	−1.05
KU	0.53	0.40	0.19	0.62	−0.05	−0.39	−0.43	0.58	0.96	0.50	0.56	1.40

Note: CS = Cognitive support; ESU = Emotional support; CE = Cognitive engagement; PE = Psychological engagement; AE = Academic engagement; BE = Behavioral engagement; ES = Environment satisfaction; FS = Family Satisfaction; SS = School satisfaction; PS = Peers satisfaction; SS = Self-satisfaction; General life satisfaction = GLS; M = Mean; SD = Standard Deviation; SK = Skewness; KU = Kurtosis; *Significant at the p < 0.01 level.

Structural equation modeling

Based on the hypothesized conceptual models, two structural equation models consisting of three latent variables (peers' perceived support, engagement in academic activities, life satisfaction) and 11 observed variables were examined. To estimate the goodness of fit of the models, five indices of ratio of chi-square to degree of freedom (χ²/df), Root Mean Square Error of Approximation (RMSEA), Comparative Fit Index (CFI), Goodness of Fit Indices (GFI), and Non-Normed Fit Index (NNFI) were used. The review of related literature for structural equation modeling suggests that the ratio of χ²/df < 3, RMSEA < 0.08 (Kline, 1998) and fit indices of NNFI, CFI and GFI approximately equal to 0.95 (Hu & Bentler, 1999) providing acceptable fit indices of structural equation modeling.

The first model

The first model examines the mediating role of student engagement in academic activities between peers' perceived support and life satisfaction illustrated in Figure 1. All path coefficients between latent variables were significant at 0.05. The overall fit of the final model was good (χ²/df = 2.83, RMSEA = 0.08, NNFI = 0.93, CFI = 0.95, GFI = 0.94) and all factor loadings were significant (p < 0.05), suggesting that all latent constructs were well represented by the observed indicators. In addition, peers' perceived support had a positive and significant direct effect on life satisfaction (β = 0.30, t = 2.69, p = 0.11) and student engagement in academic activities (β = 0.64, t = 6.33, p = 0.10). Additionally, the direct effect of engagement in academic activities on life satisfaction (β = 0.43, t = 3.24, p = 0.13) was positive and significant. Two variables of peers' perceived support and learning explained 26% of life satisfaction variance (R² = 0.26) and peers' perceived support determined 27% of student engagement in academic activities variance (R² = 0.27). This finding means that student engagement in academic activities has an intermediary role between peers' perceived support and life satisfaction.

Figure 1.

Standardized coefficients for the first model. *Significant at the p < 0.05 level.

The second model

In the second model the intermediary role of life satisfaction between peers' perceived support and student engagement in academic activities was analysed (see Figure 2). Result showed that a test of the structural model led to good fit indices and the hypothesized model fits the data well (χ²/df = 2.83, RMSEA = 0.08, NNFI = 0.93, CFI = 0.95, GFI = 0.94). All factor loadings were significant (p < 0.05) indicating that peers' perceived support, life satisfaction, and student engagement in academic activities were well represented by the observed indicators. Also, the results indicated that peers' perceived support had a significant direct path to student engagement in academic activities (β = 0.42, t = 3.94, p = 0.11) as well as an indirect path through life satisfaction (β = 0.58, t = 4.85, p = 0.12). In addition, life satisfaction had a direct significant path to student engagement in academic activities (β = 0.38, t = 3.15, p = 0.12). Finally, 51% of the variance in student engagement in academic activities was explained by two variables of peers' perceived support and life satisfaction. Also, peers' perceived support determined 34% of the variance in life satisfaction.

Figure 2.

Standardized coefficients for the second model. *Significant at the p < 0.05 level.

Discussion

The purpose of this research was to evaluate two models through which peers' perceived support may directly or indirectly affect life satisfaction by engagement in academic activities and vice versa. In the first model, the mediating role of engagement in academic activities in the relationship between peers' perceived support and life satisfaction was examined. Acquired fit indices from this model demonstrated that the observed data are related to and confirm the conceptual fit model. This means that peers' perceived support both directly and indirectly affects life satisfaction through the mediating variable of engagement in academic activities. This finding supports self-determination theory, emphasizing that satisfying basic needs leads to appropriate consequences such as motivation, academic participation, and improving personal attitude toward living in different areas. The cognitive-social theory of Vygotsky (1978) emphasizes the point that learning and creating knowledge is the result of interpersonal interactions and social context plays an important and undeniable role in knowledge transfer and personal growth improvement.

In the current study, peers' emotional support – which is based on encouragement, motivation, guidance, and cognitive support in discussion and interactions among peers – has a direct effect on engagement in academic activities. This confirms previous findings (Berndt, 1999; Connell & Wellborn, 1991; Chen, 2005; Malecki & Demaray, 2003; Simon-Merton & Chen, 2009; Wentzle, 1998) that emphasize the close relationship between peers' perceived support and engagement in academic activities. Regarding these findings, it may be noted that if adolescents receive more emotional and cognitive peer support, they may improve their cognitive participation and their attitude about academic activities; feel more interest in school; and place more value, importance and interest on academic tasks. This support may also play a role in motivating students. Moreover, peer social networks can improve students' social skills and promote their interest in participating in school and class activities.

The findings of this research illustrate the effect of peers' perceived support on students' life satisfaction. Therefore, it may be argued that when students are able to interact appropriately with their peers, it leads them to have a better judgment about people and themselves and have a better attitude toward their life. These findings are consistent with results of previous research (Diener & Diener, 2009; Helsen et al., 2000; Kef & Dekovic, 2004; Keresztes et al., 2008; Kong, Zhao, & You, 2012; Meeus, 1994; Rigby, 2000; Shahyad et al., 2011) emphasizing contextual factors as a strategic resource to improve and create a positive attitude toward life.

The first structural equation model analysis showed the indirect effect of engagement in academic activities on students' life satisfaction. Therefore, students' engagement in academic activities, their interest in school, importance and value of academic tasks, and their interest and participation in academic activities play an effective role in students' positive life satisfaction. This finding supports Csikszentmihalyi's flow theory (1990) emphasizing that success in activities is related to improvement of one's psychological status, and is also consistent with other previous findings (Huebner et al., 2011; Lewis et al., 2011; Rigby, 2000; Shocet et al., 2006).

In addition to the above-mentioned findings, the results of testing the second structural equation model suggest that life satisfaction variable plays a mediating role between peers' perceived support and student engagement in academic activities. Therefore, improving students' level of life satisfaction affects student engagement in academic activities, and students with high levels of life satisfaction in various dimensions (environment, family, school, peers, self) will be more involved in their academic activities. This is very important because student engagement changes from moment to moment (Bakker, Vergel, & Kuntze, 2015). In sum, this result is somewhat consistent with former findings (Frisch et al., 2005; Gilman & Huebner, 2006; Lewis et al., 2011) that emphasize the effect of life satisfaction on increasing student engagement in academic activities.

Implications

The present study presents evidence about the important and effective role of peers in students' learning and life satisfaction, and the bi-directional relationship between life satisfaction and student engagement in academic activities. On this basis, it is suggested that administrators, consultants, and school psychologists develop interventions based on the three needs of relationship, interdependency, and competency, in order to promote interaction among students and satisfy their needs in school. Moreover, based on the fact that students spend substantial time with their peers in school, it seems an appropriate strategy to manage this time in school to devote a place for scientific discussions and collaboration among students. In the present research, the direct effect of engagement in academic activities on life satisfaction is emphasized. Therefore, regarding the importance of engagement in academic activities, it is suggested that factors leading to increases in students' engagement in academic activities should be identified and factors leading to decreases in engagement in academic activities should be removed from the academic environment structure. Additionally, regarding the fact that students' success with challenging tasks may lead to increased self-confidence and ultimately life satisfaction, providing challenging tasks appropriate to students' age, creativity, talent, and academic level may be helpful to achieve this goal.

Limitations and suggestions for future research

The data collection and analytical methods used in this study are not without limitations. For example, longitudinal data are essential for drawing conclusions about changes occurring within the individual. Furthermore, the current data are observational rather than experimental and cannot identify causal conclusions (Salthouse, 2011). Regarding the limitations in analytical methods, the authors believe that although the relationship with peers is an important contextual factor that was studied, dealing with other contextual factors such as teachers, parents, neighbors, and school staff may provide a more comprehensive understanding of the relationships between the mentioned variables. Additionally, students' level of engagement in academic activities was studied from the students' viewpoint. Thus, it may be helpful to study the engagement in academic activities from teachers' viewpoint in a more comprehensive analysis. A final limitation of the study was the low reliability of Students Life Satisfaction Scale. However, according to Gliner and Morgan (2000), the range of acceptable alpha levels in literature is from 0.60 < α < 0.90.

Footnotes

Declaration of Conflicting Interests

The author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.

Funding

The author(s) received no financial support for the research, authorship, and/or publication of this article.

Author biographies

Rezvan Hakimzadeh holds a PhD in Curriculum Studies and is an Associate Professor at the University of Tehran. She was the Head of Curriculum and Instruction Department at the University of Tehran and Vice Dean of Graduate and Undergraduates Studies at the Faculty of Psychology and Education. She conducts research in curriculum and instruction and her specialty is content analysis of school textbooks and factors affecting on students’ academic performance.

Mohammad Ali Besharat, PhD, is currently a Psychotherapist, Senior Lecturer, and Researcher in Clinical Psychology at the University of Tehran. He is currently leading the psychotherapy courses and workshops for graduate students and trainees. His primary research interests are in the design and statistical analysis of field research and the development and evaluation of theory‐based preventive interventions.

Seyed Ali Khaleghinezhad, is a PhD candidate in Curriculum Development at the University of Allameh Tabatabái, Tehran. He currently conducts research with the Prideaux Centre for Research in Health Professions Education at the University of Flinders. Previously, he worked as a teacher and school counselor in primary, middle, and high school. His research interests are focused on student engagement, context of instruction, learning assessment, and curriculum evaluation.

Reza Ghorban Jahromi, received his PhD from the University of Tehran. He has recently been working at the Iranian National Center for Addiction Studies (INCAS), at the Tehran University of Medical Sciences. He has published various researches in the areas of learning disability, epistemological beliefs, and anxiety.

References

Atweh, B., Bland, D. C., Carrington, S. B., & Cavanagh, R. (2008). School disengagement: Its constructions, investigation and management. In P. Jeffrey (Ed.), AARE International Education Research Conference, 25–29 November 2007, Fremantle, WA.

Bakker

A. B.

Vergel

A. I. S.

Kuntze

(2015) Student engagement and performance: A weekly diary study on the role of openness. Motivation and Emotion 39(1): 49–62. doi: 10.1007/s11031-014-9422-5.

Berndt

T. J.

(1999) Friends' influence on students' adjustment to school. Educational Psychologist 34(1): 15–28. doi: 10.1207/s15326985ep3401_2.

Chen

J. J. L.

(2005) Relation of academic support from parents, teachers, and peers to Hong Kong adolescent's academic achievement: The mediating role of academic engagement. Genetic, Social, and General Psychology Monographs 131(2): 77–127. doi: 10.3200/MONO.131.2.77-127.

Christenson

S. L.

Reschly

A. L.

Appleton

J. J.

Berman

Spangers

Varro

(2008) Best practices in fostering student engagement. In: Thomas

Grimes

(eds) Best practices in school psychology V, Washington, DC: National Association of School Psychologists, pp. 1099–1120.

Connell

J. P.

Wellborn

J. G.

(1991) Competence, autonomy, and relatedness: A motivational analysis of self-system processes. In: Gunnar

M. R.

Sroufe

L. A.

(eds) Self-process in development: Minnesota Symposium on Child Psychology Vol 2, Hillsdale, NJ: Lawrence Erlbaum, pp. 167–216.

Csikszentmihalyi

(1990) Flow the psychology of optimal experience, New York, NY: Harper and Row.

Deci

E. L.

Ryan

R. M.

(2000) The ‘what’ and ‘why’ of goal pursuits: Human needs and the self-determination of behavior. Psychological Inquiry 11: 227–268. doi: 10.1207/S1 532 7965 PL I1104_01.

Diener

(2000) Subjective well-being: The science of happiness and a proposal for a national index. American Psychologist 55(1): 34–43.

10.

Diener

(2009) Cross-cultural correlates of life satisfaction and self-esteem. Culture and well-being, The Netherlands: Springer, pp. 71–91. doi: 10.1007/978-90-481-2352-0.

11.

Diseth

Å.

Danielsen

A. G.

Samdal

(2012) A path analysis of basic need support, self-efficacy, achievement goals, life satisfaction and academic achievement level among secondary school students. Educational Psychology 32(3): 335–354. doi: 10.1080/01443410.2012.657159.

12.

Fredricks

J. A.

Blumenfeld

P. C.

Paris

A. H.

(2004) School engagement: Potential of the concept, state of the evidence. Review of Educational Research 74(1): 59–109. doi: 10.3102/00346543074001059.

13.

Frisch

M. B.

Clark

M. P.

Rouse

S. V.

Rudd

M. D.

Paweleck

J. K.

Greenstone

Kopplin

D. A.

(2005) Predictive and treatment validity of life satisfaction and the quality of life inventory. Assessment 12(1): 66–78. doi: 10.1177/1073191104268006.

14.

Fuligni

A. J.

(1997) The academic achievement of adolescents from immigrant families: The role of family background, attitudes, and behavior. Child Development 68(2): 351–363. doi: 10.1111/j .14 67-8624.1997.tb01944.x.

15.

Furlong

M. J.

Christenson

S. L.

(2008) Engaging students at school and with learning: A relevant construct for all students. Psychology in the Schools 45(5): 365–368. doi: 10.1002/pits.20302.

16.

Gilman

Huebner

(2003) A review of life satisfaction research with children and adolescents. School Psychology Quarterly 18(2): 192–205.

17.

Gliner

J. A.

Morgan

G. A.

(2000) Research methods in applied settings: An integrated approach to design and analysis, Mahweh, NJ: Lawrence Erlbaum & Associates.

18.

Hakimzadeh

Besharat

M. A.

Khaleghinezahd

S. A.

(2013) Development and validation of a student Engagement in Academic Activities Scale. Applied Psychological Research Quarterly 4(4): 1–16. [in Persian].

19.

Helsen

Vollebergh

Meeus

(2000) Social support from parents and friends and emotional problems in adolescence. Journal of Youth and Adolescence 29(3): 319–335.

20.

L. T.

Bentler

P. M.

(1999) Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling: A Multidisciplinary Journal 6(1): 1–55. doi:10.1080/10705519909540118.

21.

Huebner

E. S.

Antaramian

S. P.

Hills

K. J.

Lewis

A. D.

Saha

(2011) Stability and predictive validity of the Brief Multidimensional Students' Life Satisfaction Scale. Child Indicators Research 4(1): 161–168. doi: 10.1007/s12187-010-9082-2.

22.

Jimerson

S. R.

Campos

Greif

J. L.

(2003) Toward an understanding of definitions and measures of school engagement and related terms. The California School Psychologist 8(1): 7–27.

23.

Kef

Deković

(2004) The role of parental and peer support in adolescent's well-being: A comparison of adolescents with and without a visual impairment. Journal of Adolescence 27(4): 453–466. doi: 10.1016/j.adolescence.2003.12.005.

24.

Keresztes

Piko

B. F.

Pluhar

Z. F.

Page

R. M.

(2008) Social influences in sports activity among adolescents. The Journal of the Royal Society for the Promotion of Health 128(1): 21–25. doi: 10.1177/1466424007085228.

25.

Khaleghinezhad

S. A.

Amraei

(2013) Constructing and validating of a Peers' Perceived Support Scale (PPSS). Psychometric Journal 2(5): 45–56. [in Persian].

26.

Kline

R. B.

(1998) Principles and practices of Structural equation modeling, New York, NY: Guilford Press.

27.

Kong

Zhao

You

(2012) Emotional intelligence and life satisfaction in Chinese university students: The mediating role of self-esteem and social support. Personality and Individual Differences 53(8): 1039–1043. doi: 10.1016/j.paid.2012.07.032.

28.

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(3): 249–262. doi: 10.1007/ s10964-010-9517-6.

29.

Malecki

C. K.

Demaray

M. K.

(2003) What type of support do they need? Investigating student adjustment as related to emotional, informational, appraisal, and instrumental support. School Psychology Quarterly 18(3): 231–252.

30.

Meeus

(1994) Psychosocial problems and social support in adolescence. In: Nestmann

Hurrelmann

(eds) Social networks and social support in childhood and adolescence, Berlin: de Gruyter, pp. 241–255.

31.

Nakamura

Csikszentmihalyi

(2002) The concept of flow. In: Snyder

C. R.

Lopez

S. J.

(eds) Handbook of positive psychology, Oxford: Oxford University Press, pp. 89–105.

32.

Nikogoftar

(2015) Gender differences in social health: The role of individualism and pluralism. Social Welfare Quarterly 53: 111–129. [in Persian].

33.

Park

Huebner

E. S.

(2005) A cross-cultural study of the levels and correlates of life satisfaction among adolescents. Journal of Cross-Cultural Psychology 36(4): 444–456. doi: 10.1177/0022022105275961.

34.

Pavot

Diener

Colvin

C. R.

Sandvik

(1991) Further validation of the Satisfaction with Life Scale: Evidence for the cross-method convergence of well-being measures. Journal of Personality Assessment 57(1): 149–161. doi: 10.1207/s15327752jpa5701_17.

35.

Rigby

(2000) Effects of peer victimization in schools and perceived social support on adolescent well-being. Journal of Adolescence 23: 57–68. doi: 10.1006/jado.1999.0289.

36.

Salthouse

T. A.

(2011) All data collection and analysis methods have limitations: Reply to Rabbitt (2011) and Raz and Lindenberger (2011). Psychological Bulletin 137: 796–799.

37.

Samaras

A. P.

Gismondi

(1998) Scaffolds in the field: Vygotskian interpretation in a teacher education program. Teaching and Teacher Education 14(7): 715–733.

38.

Seligson

J. L.

Huebner

E. S.

Valois

R. F.

(2003) Preliminary validation of the brief multidimensional students' life satisfaction scale (BMSLSS). Social Indicators Research 61(2): 121–145.

39.

Shahyad

Besharat

M. A.

Asadi

Alipour

A. S.

Miri

(2011) The relation of attachment and perceived social support with Life Satisfaction: Structural equation model. Procedia-Social and Behavioral Sciences 15: 952–956. doi: 10.1016/j.sbspro.2011.03.219.

40.

Shernoff

Schmidt

(2008) Further evidence of an engagement/achievement paradox among US high school students. Journal of Youth and Adolescence 37: 564–580. doi: 10.1007/s10964-00 7-9241-z.

41.

Shochet

I. M.

Dadds

M. R.

Ham

Montague

(2006) School connectedness is an underemphasized parameter in adolescent mental health: Results of a community prediction study. Journal of Clinical Child and Adolescent Psychology 35(2): 170–179. doi: 10.1207/s153 74424jccp3502_1.

42.

Simons-Morton

Chen

(2009) Peer and parent influences on school engagement among early adolescents. Youth and Society 41(1): 3–25. doi: 10.1177/0044118X09334861.

43.

Siyez

D. M.

Kaya

(2007) Validity and reliability of the Brief Multidimensional Students' Life Satisfaction Scale with Turkish children. Journal of Psychoeducational Assessment 26(2): 139–147. doi:10.1177/0734282907307802.

44.

Skinner

E. A.

Belmont

M. J.

(1993) Motivation in the classroom: Reciprocal effects of teacher behavior and student engagement across the school year. Journal of Educational Psychology 85(4): 571–581.

45.

Skinner

E. A.

Wellborn

J. G.

Connell

J. P.

(1990) What it takes to do well in school and whether I've got it: A process model of perceived control and children's engagement and achievement in school. Journal of Educational Psychology 82(1): 22–32.

46.

Suh

Diener

Oishi

Triandis

H. C.

(1998) The shifting basis of life satisfaction judgments across cultures: Emotions versus norms. Journal of Personality and Social Psychology 74: 482–493.

47.

Suldo

S. M.

Riley

K. N.

Shaffer

E. J.

(2006) Academic correlates of children and Adolescents' Life Satisfaction. School Psychology International 27(5): 567–582. doi: 10.1177/0143034306073411.

48.

Tian

Zhang

Huebner

E. S.

(2014) Preliminary validation of the Brief Multidimensional Students' Life Satisfaction Scale (BMSLSS) among Chinese elementary school students. Child Indicators Research. 1–17. doi: 10.1007/s12187-014-9295-x.

49.

Verkuyten

Thijs

(2002) School satisfaction of elementary school children: The role of performance, peer relations, ethnicity and gender. Social Indicators Research 59(2): 203–228.

50.

Vygotsky

L. S.

(1978) Mind in society: The development of higher psychological processes, Cambridge, MA: Harvard University Press.

51.

Wentzel

K. R.

(1998) Social relationships and motivation in middle school: The role of parents, teachers, and peers. Journal of Educational Psychology 90(2): 202–209.

52.

Willms

J. D.

(2003) Student engagement at school: A sense of belonging and participation. Results from PISA 2000, Paris: Organization for Economic Co-operation and Development (OECD).