Abstract
This study examined the relationship between family wealth and school dropout among vocational education students (n = 1,231; mean age=17.81). It investigated whether (1) family affluence and adolescents’ own perceptions and experiences of their family wealth (i.e., perceived family wealth, financial scarcity) predict dropout, (2) adolescents’ civic attitudes (i.e., system justification, institutional trust) explain the association between family wealth and school dropout, and (3) trust in teachers buffers against the risk of dropout among students with lower civic attitudes. Multivariate models revealed that financial scarcity predicted dropout. Financial scarcity showed an indirect only effect on dropout through lower institutional trust, but not through system justification. Trust in teachers was neither associated with dropout, nor a moderator. Controlling for mental health problems did not affect these results. This study helps explain how students’ experienced and perceived family wealth can affect their educational attainment, by reducing their trust in social institutions.
Similar content being viewed by others
Introduction
The importance of combating school dropout can hardly be overestimated. Especially in vocational education, school dropout rates are high in most countries1. Given the value of educational degrees and diplomas in current societies, adolescents who drop out of school are at risk for significant disadvantage throughout their adult life. Research spanning the social sciences shows that dropout predicts worse economic prospects for the future, which coincide with unemployment, financial hardship, reduced access to material and social resources, unhealthy lifestyles, poorer wellbeing, and worse health2,3,4. Therefore, the consequences of school dropout can be far-reaching and damaging for the individual student. Moreover, dropout has considerable societal costs, as the loss of talent and human capital forecasts a large societal economic burden throughout the life course5,6. Advancing our understanding of the processes underlying school dropout is therefore crucial. It can reveal leverage points for effective approaches to developmentally informed interventions to promote retention and academic achievement7. It can also reveal leverage points for breaking mechanisms that perpetuate social and educational inequalities.
The link between socioeconomic status (SES) and school dropout has been widely demonstrated in research. Studies consistently show that adolescents from lower SES backgrounds are more likely to drop out of school than their counterparts from higher SES backgrounds8. SES encompasses various aspects of economic and social resources, such as parental education, occupation, and income. Adolescents are sometimes unwilling or unable to reveal information about parental SES9, for example, because they have limited knowledge or understanding of their parents’ occupation or education10. Therefore, we conceptualize SES as family wealth, often operationalized as family affluence, which can be assessed by concrete questions adolescents know the answer to (e.g., having a dishwasher at home). Family affluence is a valid indicator of economic resources and assets available to a family11 assessing SES among adolescents12. Additionally, recent research shows that family wealth is an important determinant of educational attainment, above and beyond parental education13,14,15.
While a combination of factors is likely at play6,8, the role of adolescents’ civic attitudes in explaining the link between family wealth and school dropout has not yet received much attention. Civic attitudes concern young people’s feelings regarding their roles and position in society, such as their belief that society is just, trust in institutions, and understanding of socioeconomic inequalities16,17,18. Adolescents’ civic attitudes, in turn, can shape their academic motivation and educational behavior19,20. Extending these suggestions, we expect that civic attitudes can influence whether adolescents drop out of school.
In this study, we focus on dropout among students in vocational education, evaluating whether family wealth is associated with adolescents’ civic attitudes, and whether these attitudes, in turn, impact dropout. Specifically, we predict that adolescents with lower family wealth (i.e., lower family affluence, perceived family wealth and financial scarcity) report lower system justifying beliefs and institutional trust, and that lower levels of these civic attitudes increase their risk of school dropout. To inform potential interventions, we explore whether higher trust in teachers can be a protective factor for adolescents against the risks associated with lower civic attitudes for school dropout.
Adolescents with lower family wealth—lower family income, affluence, and fewer material possessions13—are at significant higher risk of dropping out of school than students with more family wealth8,21. To illustrate, in a prospective Danish cohort study, adolescents from families with the lowest socioeconomic position (a composite measure of highest attained education and household income) had approximately a 3-fold higher risk of not completing a secondary education compared to adolescents from the highest socioeconomic position22. Empirical research examining the association between family wealth and educational attainment and dropout underlines the persistence of intergenerational inequalities and shows that family SES and wealth have direct and indirect associations with adolescents’ educational attainment and dropout23,24,25,26.
Research has made great inroads in explaining the link between family SES and school dropout by focusing on more objective indicators of family wealth, such as family income or affluence. However, it has neglected the unique characteristics of the developmental period of adolescence. During adolescence, young people become increasingly aware of their (family’s) socioeconomic position in society and compare it with that of others. They also begin to shape their own socioeconomic position17,27. Therefore, considering adolescents’ own perceptions and experiences of their (family’s) socioeconomic positions is crucial. Perceived family wealth represents adolescents’ subjective perception of how well-off their family is compared to others. Perceived family wealth often emerges as a stronger predictor of adolescent behavior and wellbeing than more objective indicators of family SES28,29. Financial scarcity concerns adolescents’ subjective experience of having limited financial resources or experiencing financial instability required to cope with personal demands and needs30. Financial scarcity can be stressful and is associated with a range of negative psychological and behavioral consequences31, especially among younger people32, which may also contribute to dropout.
Studies that attempt to explain the negative association between SES and dropout in vocational education yield multiple factors that play a role in increasing the risk of lower educational attainment and dropout, including adolescents’ lower cognitive abilities, less access to material, social, and cultural resources, behavioral problems, and lower educational expectations23,24,25,26,33. However, civic attitudes may play an important mediating role in this association as well. As adolescents engage with institutions, such as schools and community organizations, they learn and practice the norms of the societies they live in16,34,35. Positive and negative interactions with institutions transmit norms of (the lack of) fairness, social responsibility, and social justice, which adolescents internalize to develop their civic attitudes16 and critical consciousness (i.e., awareness and understanding of the social, political, and economic forces that contribute to inequality, oppression, and injustice in society27,36). Compared to adolescents with higher family wealth, adolescents with lower family wealth are more likely to face more stressful and threatening family, school, and neighborhood environments. Their families may also have less access to supportive jobs and health services and face more discriminatory policing and legal systems37. Such structural and experienced disadvantages may lead adolescents from lower SES backgrounds (as measured by parental education) to perceive society as more unequal38. Greater family wealth is associated with higher beliefs in the fairness and legitimacy of a country’s institutions among adolescents39,40. Having a positive view of societal fairness and endorsing system-justifying beliefs may lead young people to believe that they have control over their own outcomes41,42, which may motivate students to work harder43 and achieve better grades44,45.
Economic and social uncertainty, including income inequality, job insecurity, and lack of economic growth, is a strong predictor of low institutional trust, especially among younger people46. Not surprisingly, lower family wealth, economic uncertainties associated with lower SES, and biased policy-responsiveness towards higher SES47 negatively shape adolescents’ trust in institutions (e.g., government, police) and weaken their belief in, and motivation to achieve, socioeconomic success19,48,49. Lower institutional trust may therefore reduce the likelihood that adolescents engage in behaviors associated with success, including staying in school21, and persisting in the face of academic setbacks. Thereby, lower institutional trust associated with lower family wealth in adolescence may increase the risk for school dropout.
Trusting relationships with caring, reliable adults play an important role in promoting adolescent wellbeing, reducing risk behaviors, regulating their emotions, and focusing on their future especially among adolescents with lower SES50,51. In particular, relationships with teachers whom adolescents trust are important for their behavioral engagement at school and school outcomes50,51,52,53. Students who trust and feel emotionally supported by their teachers are more engaged in school, have higher grades and attendance, and are less likely to dropout54, especially among adolescents who are at high risk of experiencing difficulties44.
In addition, teachers may be able to mitigate the negative impact of lower civic attitudes on school dropout by promoting fairness and justice in the classroom. Teachers can be seen as the most important representatives of social institutions for young people. A trusted teacher can demonstrate that there are professionals who are reliable and fair and who apply transparent rules, which can buffer the effect of adolescents’ perception that systems are unfair and/or untrustworthy55. Moreover, trusted teachers may reduce the risk of dropping out among students with lower civic attitudes by creating a protective and supportive classroom environment56. Teachers can promote open and respectful dialogue and model critical consciousness by engaging in critical reflection themselves. In such a protective environment, students with lower civic attitudes may come to experience rules as fair and legitimate. Therefore, higher interpersonal trust in teachers may be an important protective factor that reduces the likelihood of dropout when adolescents believe that systems are unfair or untrustworthy.
Research has shown that mental health problems (i.e., emotional symptoms, conduct problems, hyperactivity/inattention, and peer problems) are related to SES26 and school dropout8. Additionally, research suggests that migration background may be associated with family SES57,58 and relate to dropout from vocational education34. To examine whether our expectations hold above and beyond these factors, we will control for mental health problems and migration background.
This pre-registered study (osf.io/ezjuf) examines associations between family wealth, civic attitudes, and school dropout in a large sample of vocational students in the Netherlands. We extend existing research on the association between SES and school dropout in three important ways. Firstly, recognizing the crucial importance of adolescence as a developmental period in which adolescents come to understand their social position, we distinguish between family wealth and adolescents’ own subjective perceptions of family wealth and own experienced financial scarcity. Secondly, and related to adolescents’ increasing societal awareness, we examine the role of civic attitudes (i.e., system justification beliefs and lower trust in institutions) in the association between family wealth and school dropout. Thirdly, we examine whether interpersonal trust in teachers – a potential target for intervention – can buffer against the expected increased likelihood of school dropout when adolescents have lower civic attitudes. Fourthly, we examine our hypotheses in vocational schools where dropout is particularly high.
Results
Descriptive Analyses
Table 1 shows the descriptive statistics for all study variables. The sample consisted of 1,231 adolescents (Mage = 17.81, SDage = 1.82, 44.31% male, 74.53% without a migration background) of whom 10.39% dropped out of education after their first year. For financial scarcity, mean scores were below the midpoint of the scale; mean scores for perceived family wealth, institutional trust, and system justification were around the midpoint, and mean scores were above the midpoint for trust in teachers. In Table 2, correlations between all study variables are presented. Lower levels of family wealth, system justification, institutional trust, and trust in teachers were associated with more school dropout, while the same was true for higher levels of financial scarcity, emotional problems, conduct problems and hyperactivity/inattention. All these effect sizes were small. System justification and institutional trust were moderately strongly positively correlated (r = 0.53). Peer problems, age, gender, and migration background were not significantly associated with dropout, and therefore not included as covariates in our models.
Family Wealth and School Dropout
In our univariate models (M1a-c), lower levels of family affluence and higher levels of financial scarcity increased adolescents’ probability of dropping out of school, but lower levels of perceived family wealth did not (Table 3). The association between family affluence and dropout disappeared when controlling for financial scarcity (M1d).
Mediation by Civic Attitudes
Compared to the model including all three indicators of family wealth (M1d), the mediation models (M2a-c) showed significant model fit improvement, with the strongest improvement for Model 2c, which included both mediators simultaneously (see Supplementary Table 1). Hence, model estimates from model M2c were used for interpretation and are displayed in Fig. 1.
In the mediation model M2c, the previously found direct effect of financial scarcity on dropout (M1d) disappeared. However, an indirect only mediation was observed (Zhao, 2010), whereby higher financial scarcity was associated with lower levels of institutional trust, which, in turn, predicted a higher probability of dropout (M2c: Bindirect = 0.083, 95% CI [0.024, 0.156], OR = 1.086). The total effect of financial scarcity on dropout was also positive (M2c: Btotal financial scarcity = 0.289, 95% CI [0.034, 0.555], OR = 1.335), indicating a significantly greater risk for dropout when adolescents experienced more financial scarcity. Illustrating this total effect, Fig. 2 shows that the probability of dropout is more than 1.5 times higher for adolescents with very high levels of financial scarcity (i.e., at the 90th percentile), compared to adolescents with very low levels of financial scarcity (i.e., at the 10th percentile): 12.69 versus 7.22%.
Although initial models did not show a direct effect of perceived family wealth on dropout (M1a-d), the mediation model M2c yielded an indirect only mediation whereby higher perceived family wealth decreased the probability of dropout through higher levels of institutional trust (M2c: Bindirect perceived family wealth = −0.055, 95% CI [−0.113, −0.012], OR = 0.947). Yet, the total effect of perceived family wealth was approximately zero (M2c: Btotal perceived family wealth = 0.014, 95% CI [−0.218, 0.310], OR = 1.014; Fig. 2).
In Model 2b, both financial scarcity and low perceived family wealth were indirectly related to dropout through lower levels of system justification. However, these mediational paths attenuated to insignificance in Model 2c (i.e., once institutional trust was taken into account; Fig. 1).
Moderation by Interpersonal Trust in Teachers
Adding trust in teachers as main effect and moderator of the effects of both indicators of civic attitudes on dropout did not improve model fit and their estimates were non-significant (M3; see Supplementary Tables 1 and 2). This means that the relation of institutional trust and system justification with dropout did not depend on trust in teachers.
Confounding by Mental Health Problems
Adding conduct problems, emotional problems, and hyperactivity/inattention as additional covariates improved model fit (M4a-c; Supplementary Table 1), but the previously found indirect effects remained and the strength of the effects in M4a-c were comparable to those in M3. Furthermore, only hyperactivity/inattention predicted dropout significantly. Estimates from Models 2 until 4 can be found in Supplementary Table 2.
Discussion
School dropout is one of the strongest predictors of life-course disadvantage, including lower earnings, poorer health, and more dependence on public assistance6. Past theory and research argued that family SES and the distinct ecologies associated with it are impactful predictors of dropout19,20. The results from this study dovetail with this prior work and expand upon it in important ways. Firstly, given the unique developmental phase of adolescence, it differentiated between family affluence and adolescents’ own perceptions and experiences of their and their family’s wealth. Secondly, it examined adolescents’ civic attitudes—beliefs about whether institutions are fair and can be trusted—as important but underexplored factor in explaining the pervasive association between family wealth and school dropout. Thirdly, it examined whether interpersonal trust in teachers can buffer against the increased risk of dropout among students with lower civic attitudes.
Replicating existing studies on socioeconomic inequalities in school dropout8, we found that family wealth predicted dropout over the course of the first year of tertiary vocational education. However, our results showed that when adding indicators reflecting adolescents’ own perceptions of their family wealth, the direct association between family affluence and dropout became non-significant. These findings suggest that adolescents’ own experiences of financial scarcity were a stronger driver of dropout than family affluence. Our second aim was to test whether civic attitudes (i.e., system justification beliefs and lower trust in institutions) mediated the association between family wealth and school dropout. We found that financial scarcity showed indirect only effects on dropout through lower levels of institutional trust, but not through system justifying beliefs. Additionally, although no direct nor total effects of perceived family wealth on school dropout were found, we did find an indirect effect whereby higher levels of perceived family wealth were associated with higher institutional trust, which subsequently predicted lower probability of school dropout. Our third aim was to explore the buffering potential of interpersonal trust in teachers. Though trust in teachers correlated negatively with dropout, in multivariate models it was neither associated with dropout, nor a moderator of the association between civic attitudes and dropout.
As indicated above, our findings reveal that, of a variety measures of family wealth, adolescents’ experienced financial scarcity is particularly predictive of school dropout. The fact that the association between family wealth and dropout disappeared when we controlled for financial scarcity suggests that the impact of family wealth on dropout is mediated by adolescents’ personal experience of scarce financial resources. Explanations for this finding may be found in research showing that the subjective perception of strained material and financial resources is especially associated with increased stress, worry, rumination, a heightened focus on short-term goals, and avoidant financial behaviors28, especially among younger people32,59. Moreover, dropping out of school to enter the job market may generate money, prestige, and economic stability60. In turn, stress, short-term goals, and the need for economic stability may have increased the likelihood of school dropout. Notably, the association between financial scarcity and school dropout did not disappear after adding different indicators of mental health to the model, indicating that other mechanisms may play a role. Additionally, people who perceive that they have less access to material resources feel that they have fewer choices and experience more external constraints placed on their decisions and behavior61. This perception of having less personal control may both weaken adolescents’ belief in and motivation to achieve academic success19. Furthermore, having a lower sense of personal control may, as we predicted, reduce adolescents’ civic attitudes, which ultimately may result in dropout.
We operationalized civic attitudes through system justifying beliefs and institutional trust; two related but distinct concepts. Their conceptual overlap is reflected in their high correlation (r = .53), as well as the finding that perceived family wealth and financial scarcity were negatively associated with both system justification and institutional trust. One key difference between these concepts is that institutional trust focuses on the trustworthiness of specific institutions, while system justification refers to beliefs about the overall fairness and legitimacy of the social, political, and economic systems in a specific country. This more abstract nature of system justifying beliefs, may explain why we did not find an association between system justifying beliefs and school dropout when controlling for trust in institutions.
It is also possible that institutional trust and system justification have differential effects on individuals or groups. To illustrate, across diverse groups and cultures, higher institutional trust is consistently associated with increased participation in political and civic activities, compliance with the law, and support of social norms62. System justification may not be beneficial for all adolescents, however. Because system justification buffers stress and serves to cope with unfair systems and institutions, higher system-justifying beliefs have been found to be associated with lower educational attainment among marginalized groups27. As compared to their better-off counterparts, when members of marginalized groups perceive systems and institutions as fair, this implies that they deserve their place in society, which may reduce their motivation and feelings of control, increasing their likelihood of school dropout.
Only institutional trust, but not system justification, mediated the association between financial scarcity and dropout. One explanation for this finding may be the impact of institutional trust on mental wellbeing63. Nevertheless, these associations did not disappear when controlling for mental health problems, suggesting that our found effects are robust and independent of adolescents’ mental health. As discussed above, diverse individual (e.g., lack of control, perceived constraints, short-term orientation), social (lower social support), material (e.g., private tutoring), and cultural (e.g., reading books) mechanisms may independently and jointly explain why lower SES is associated with higher school dropout. Our results suggest that some of these mechanisms are related to institutional trust. For example, adolescents with lower institutional trust may be more likely to believe that their school and the labor market are non-supportive, which can hinder a sense of belonging within the educational system and discourage academic engagement. Additionally, adolescents with lower institutional trust may be less likely to view their education as valuable and worth investing in, which can motivate them to dropout. The finding that institutional trust is a predictor of school dropout may encourage scientific and societal conversations not only about students’ institutional trust, but also about what institutions and their representatives can do to increase, and possibly repair, adolescents’ trust. Trust develops when (representatives of) institutions are trustworthy, when they show honesty, reliability, and competence64. Investigating the factors that facilitate (or undermine) trust may therefore enhance our understanding of structural conditions that contribute to wealth and educational inequalities65, informing policymakers and potential interventions to reduce dropout.
We found a small indirect negative effect of perceived family wealth on school dropout through institutional trust, but no total effect of perceived family wealth on dropout, which is not an uncommon finding for mediation analysis66. Conceptually, this finding suggests that there are multiple mediating factors at play in the association between perceived family wealth and school dropout, with some positive and some negative pathways.
We hypothesized that trusted teachers, who represent a crucial institution in society and constitute an important non-parent adult in the lives of adolescents, may be able to overcome the negative impact of civic attitudes on dropout. However, in our study, trust in teachers had neither a protective nor a promotive effect on dropout. Possibly, the role of teachers in tertiary vocational school in dropout is not as important as we expected. This may be the case because students in our sample had recently started their education or because the COVID-19 pandemic and associated regulations, which led to online education in the Netherlands for several months after the initial data collection in this study in March 2020, affected typical student-teacher relationships. Also, our measure assessed trust in teachers in general. Trust in specific teachers may be more important to adolescents’ behavioral engagement with school and school dropout67.
Furthermore, our findings revealed that experiencing financial scarcity was one of the most important drivers for dropout. The pandemic may have exacerbated financial scarcity. Especially for adolescents with very high levels of financial scarcity, dealing with the immediate financial challenges may have taken priority over the longer-term consequences of dropping out of school30 and thus teachers’ influence on students may have been relatively reduced. Or alternatively, other mechanisms may outweigh the importance of trust in teachers for school dropout, including poor social relations with friends and classmates, antisocial and/or delinquent behavior, lower parental involvement with school, lower parental expectations, and living in a non-intact household8,22,23,68.
The current study included a considerable sample of tertiary vocational students, who are at high risk of dropping out, and assessed objective dropout several months after assessing the predictors. Despite these strengths, the present study has limitations. First, the study was conducted in vocational schools in the Netherlands, and it is unclear whether the results generalize to other educational levels and countries. Second, although our findings may indicate that experiencing financial scarcity causes adolescents to develop lower institutional trust, and our hypotheses reflect such an assumption, they are inadequate to rule out alternative interpretations. Additionally, family wealth and civic attitudes were assessed at the same timepoint. Therefore, our findings are correlational and warrant replication with designs that allow researchers to tease apart their directionality. Third, our study assessed adolescent-reported family affluence using the FAS as an indicator of family wealth. Most recent studies have shown a high test-retest reliability and agreement between child and parent reports on the FAS-III items12,13,69 but have found moderate associations with family income. It is possible that family income is a slightly different concept than family affluence. It is also possible that adolescents’ understanding of family income and/or family affluence is limited. Indeed, researchers are increasingly recognizing the boundaries of adolescent proxy reports of family SES70, and research exploring other indicators of family wealth would be promising. Moreover, family wealth is one important aspect of family SES, but other aspects, including parental education, parental occupation, and their interaction need systematic attention in research concerning the role of civic attitudes in explaining the association between SES and school dropout71. Additionally, we assessed perceived family wealth with a single item, which may not capture the complexity of wealth perceptions. Fourth, our dropout measure did not differentiate between different types of dropouts, so we were unable to distinguish between students who dropped out of education entirely and those who switched to another type of training72. Perhaps our indirect effects were quite small because they conflate effects for both types of students. We expect that future research that includes only students who drop out of education entirely may find stronger effects. Finally, the findings for perceived family wealth, which was measured with a single item, and the (lack of) findings for the moderation of trust in teachers, which may require additional statistical power73, warrant replication.
Family wealth is a potent and pervasive predictor of dropout, shaping adolescents’ educational experiences. Our findings showed that rather than family affluence, adolescents’ experiences of financial scarcity predicted adolescents’ institutional trust. Institutional trust, in turn predicted dropout. Adolescents’ level of mental health problems did not affect this relation. Institutional trust is key for individuals and societies, and essential for almost all interactions between citizens and (representatives of) institutions. It has not yet received much attention in the literature on adolescent development and dropout. We hope that future research will build on our findings to further understand how socioeconomic disparities shape adolescents’ trust in institutions and their academic trajectories.
Methods
Sample and Procedures
We used data from the first wave of the ongoing longitudinal YOUth Got Talent project on the wellbeing of adolescents enrolled in the first year of tertiary vocational education in the Netherlands and combined these data with official dropout numbers after the first year. Tertiary vocational schools in the Netherlands are divided into four levels (1 – entry-level; 2 – basic, 3 – professional; 4 – middle-management). Pilot research revealed that adolescents in Level 1 classes were unable to complete the questionnaire satisfactorily, so they were not included in this study. Adolescents attended classes in three vocational schools and participated in training in fields such as creative, technical, and health education. Data were collected between September 2019 and February 2020. At T1, 1,519 students could have been included in the study, while 81% of them participated, yielding a sample of 1,231 adolescents (Mage = 17.81, SDage = 1.82, 44.31% male, 74.53% without a migration background). Most of the non-participation was related to sickness/classroom absence (15%), and 4% of the non-participation was due to refusal or invalid responses.
Self-report questionnaires (96.5% digital; 3.5% paper-and-pencil) were administered in the classroom (n = 71 classes), taking roughly 20–30 minutes. Before data collection, participants gave active, written consent. In the Netherlands, adolescents aged 16 and over can consent to participate in research, and all participants were aged 16 and over. In October/November 2020, the three schools provided information to researchers on whether students had dropped out of school. This information was only available for students who had consented to this information being shared. Ethical approval was gained from the Ethics Assessment Committee of the Faculty of Social Sciences at Utrecht University (FETC18-070) in 2018.
Measures
School dropout
School dropout was measured by the officially reported school registration data obtained in November 2020 (that is about 9 months to a year after the first data collection).
Family affluence
Family affluence reflects the objective material and financial resources in the family. We measured family affluence with the Family Affluence Scale (FAS13). The scale consists of six items about family material assets: car(s)/van(s), own bedroom, holiday(s) abroad, computer(s), dishwasher, and bathroom(s)13. For participants who completed all items, we summed item scores, then ridit-transformed the sum score into a continuous family affluence score (range = 0-1; mean = 0.5; ordinal α = 0.72)74, with a higher score indicating more material assets75. The FAS is a reliable and valid instrument for adolescents to report their family affluence13.
Perceived family wealth
Adolescents reported perceived family wealth by answering the question, “How well off do you think your family is?” on a 5-point response scale from 1 (very well off) to 5 (not at all well off). We reversed the scale so that higher scores indicated higher perceived family wealth. The measure is easy to answer for adolescents and reflects the subjective dimension of family SES76.
Financial scarcity
Adolescents’ experiences of financial scarcity were measured with 6 items of the Psychological Inventory of Financial Scarcity (PIFS)59. Adolescents indicated to what extent they agreed with each statement (e.g., “I often worry about money”) on a scale ranging from 1 (completely disagree) to 5 (completely agree). In our study, this measure showed good internal consistency, Cronbach’s α = .78. Higher mean scores indicated higher levels of financial scarcity.
System justification
Endorsement of system-justifying beliefs was measured using the system justification scale27 adapted to the Dutch context. Eleven items measured adolescents’ perceptions of fairness, legitimacy, and justifiability of the Dutch socio-political and economic system (e.g., “In general, Dutch society is fair”, “People get fair treatment in the Netherlands, no matter who they are”) with a 7-point Likert scale ranging from 1 (totally disagree) to 7 (totally agree). Higher mean scores indicated higher system justification beliefs (Cronbach’s α = 0.90).
Institutional trust
We measured adolescents’ trust in institutions using the 7-item institutional trust scale developed by the OECD77. Adolescents rated their trust towards institutions (i.e., “Dutch politicians”, “the police”, “health care professionals, such as doctors and psychologists”, “people who work for the government”, “the news”, “courts and judges”, and “information on social media”) on an 11-point scale, ranging from 0 (not at all) to 10 (completely). Higher mean scores indicated higher levels of institutional trust (Cronbach’s α = 0.89).
Interpersonal trust in teachers
We assessed interpersonal trust in teachers using the 3-item Teacher Support Scale78, which has good psychometric qualities79. On a 5-point scale ranging from 1 (strongly agree) to 5 (strongly disagree), adolescents rated the extent to which they trust their teachers (i.e., “I feel that my teachers accept me as I am”, “I feel a lot of trust in my teachers”, “I feel that my teachers care about me as a person”). Higher mean scores indicated higher levels of interpersonal trust in teachers (Cronbach’s α = .83).
Mental health problems
Adolescents reported emotional symptoms, conduct problems, hyperactivity/inattention, and peer problems on the SDQ-R: a revised version of the self-report Strengths and Difficulties Questionnaire (SDQ) that has better psychometric properties in adolescents than the original version80,81. The SDQ-R asks about behavior and feelings over the past six months – sample items are “I get very angry and often lose my temper” and “I worry a lot”. The SDQ-R has a 3-point ordinal response scale: 0 (not true), 1 (somewhat true), 2 (certainly true). It consists of 15 items measuring four subscales: emotional symptoms (5 items); conduct problems (4 items); hyperactivity/inattention (3 items); and peer relationship problems (3 items). In this study, two subscales, emotional symptoms (ordinal α = .82) and hyperactivity/inattention (ordinal α = 0.79), had good internal consistency68. Internal consistency for conduct problems (ordinal α = 0.58) and peer problems subscales (ordinal α = .53) was less adequate, in line with former research57. We computed mean scores, which were then multiplied by five to retain comparability with the original SDQ. Higher subscale scores indicated more problems (range 0 to 10).
Background characteristics
Adolescents reported whether they were a girl (coded 0) or boy (coded 1) for gender; month and year of birth (used to calculate age at the date of data collection); and parents’ birth countries. We measured migration background by distinguishing between adolescents with both parents born in the Netherlands (coded 0) and adolescents with at least one parent with a migration background (coded 1).
Data Analyses
Hypotheses were tested with path analysis using Mplus 8.882. Using a stepwise approach, we first entered family SES, perceived family wealth, and financial scarcity as continuous predictors of school dropout (1/0) in three separate models using logistic regression (Models 1a, 1b, 1c). Next, to test the independent associations between the three family wealth indicators and school dropout, we estimated their associations with school dropout simultaneously, including correlations among them (Model 1d). Subsequently, Model 1d was expanded with the civic attitudes institutional trust (Model 2a), system justification (Model 2b), and both simultaneously (Model 2c), as continuous mediators of the pathways between the family wealth indicators and school dropout. To examine whether interpersonal trust in teachers buffers the harmful effects of lower civic attitudes on school dropout, we expanded Model 2c with trust in teachers as a continuous moderator (Model 3). To rule out confounding, we expanded Model 3 with gender, age, immigrant background, and/or mental health problems (i.e., emotional, peer, and conduct problems and hyperactivity/inattention), depending on whether they were significantly correlated with school dropout (Model 4). Fig. 3 displays our hypothetical model.
Table 1 shows that out of 1,231 adolescents, information on school dropout was missing for 172 adolescents (13.97%), either because students did not provide permission to share this data (n = 146) or because the school did not provide the information (n = 26). The strength of the associations between the study variables and missing on dropout was (very) small (max. r = 0.09). Missing rates for the other study variables were (very) low, ranging from 0.08% (gender) to 7.07% (system justification). All models were estimated with Maximum Likelihood with robust standard errors (MLR) to non-normal distributions of the path model outcomes. This estimation method uses a full information approach and therefore retains all 1,231 adolescents in the models with all covariates included (M3,4a-c).
The data had a hierarchical structure, where individuals were nested in school classes (nclasses = 71). Calculation of the intraclass correlations (ICC) showed substantial variance of some study variables at the school class level relative to the individual level (Table 1). Therefore, standard errors of the model estimates were corrected for school class clustering. To accommodate estimation of the path model with MLR, we used Monte Carlo integration with 5000 integration points82. Indirect effects were estimated using the product of relevant path coefficients, and total effects using the sum of the direct and indirect effects66. Significance of the indirect and total effects was evaluated using bootstrap 95% confidence intervals with 5000 replications83. Significance of the direct effects was evaluated using a p-value of 0.05. Associations were interpreted based on correlations and standardized coefficients (0.1 = small, 0.3 = medium, 0.5 = large effect84 and odds ratios transformed into probabilities. Model fit of the models were compared using Chi-square difference tests85 and changes in the Akaike Information Criterion (AIC) and Bayesian Information Criterion (BIC). Additional model specifications were applied to accommodate accurate model comparisons given our models (see Supplementary Table 3).
All models were estimated using manifest variables. The structural validity of the multiple-item measures was satisfactory. More information can be found in Supplementary Table 4. In addition, the analysis plan was preregistered. Deviations from the preregistration were applied to improve the analysis (see Supplementary Table 3). The preregistration and scripts of all analyses can be found at osf.io/ezjuf.
Reporting summary
Further information on research design is available in the Nature Research Reporting Summary linked to this article.
Data availability
The data supporting the findings of this study are available from the corresponding author CF upon a reasonable data request (i.e., the request does not violate the privacy protection of human subjects).
References
CEDEFOP. Leaving education early: putting vocational education and training centre stage. Volume I: Investigating causes and extent. Cedefop research paper 57 (Publications Office of the European Union, 2016); https://doi.org/10.2801/773690
Berg, N. et al. Pathways from poor family relationships in adolescence to economic adversity in mid-adulthood. Adv. Life Course Res. 32, 65–78 (2017).
Delaruelle, K., Buffel, V. & Bracke, P. Educational expansion and the education gradient in health: A hierarchical age-period-cohort analysis. Soc. Sci. Med. 145, 79–88 (2015).
Kawachi, I., Adler, N. E. & Dow, W. H. Money, schooling, and health: Mechanisms and causal evidence. Ann. N.Y. Acad. Sci 1186, 56–68 (2010).
Caspi, A. et al. Childhood forecasting of a small segment of the population with large economic burden. Nat. Hum. Behav. 1, 1–10 (2016).
Rumberger, R. W. Dropping out: Why students drop out of high school and what can be done about it (Harvard University Press, 2011); https://doi.org/10.4159/harvard.9780674063167
Yoshikawa, H., Whipps, M. D. & Rojas, N. M. Commentary: new directions in developmentally informed intervention research for vulnerable populations. Child Dev. 88, 459–465 (2017).
Gubbels, J., van der Put, C. E. & Assink, M. Risk factors for school absenteeism and dropout: a meta-analytic review. J. Youth Adolesc. 48, 1637–1667 (2019).
Currie, C. et al. Researching health inequalities in adolescents: the development of the Health Behaviour in School-Aged Children (HBSC) family affluence scale. Soc. Sci. Med. 66, 1429–1436 (2008).
Lien, N., C, F. & Klepp, K. Adolescents’ proxy reports of parents’ socioeconomic status: How valid are they? J. Epidemiol. Community Health 55, 731–737 (2001).
Chesters, J. Egalitarian Australia? Associations between family wealth and outcomes in young adulthood. J. Sociol. 55, 72–89 (2019).
Corell, M. et al. Does the family affluence scale reflect actual parental earned income, level of education and occupational status? A validation study using register data in Sweden. BMC Public Health 21, 1–11 (2021).
Torsheim, T. et al. Psychometric validation of the revised Family Affluence Scale: A latent variable approach. Child Indic. Res 9, 771–784 (2016).
Dräger, J. & Müller, N. Wealth stratification in the early school career in Germany. Res. Soc. Strat. Mob. 67, 100483 (2020).
Pfeffer, F. T. Growing wealth gaps in education. Demography 55, 1033–1068 (2018).
Flanagan, C. Teenage citizens: The political theories of the young (Harvard University Press, 2013).
Flanagan, C. et al. Adolescents’ theories about economic inequality: why are some people poor while others are rich? Dev. Psychol. 50, 2512–2525 (2014).
Jetten, J. et al. A social identity analysis of responses to economic inequality. Curr. Opin. Psychol. 18, 1–5 (2017).
Browman, A. S. et al. How economic inequality shapes mobility expectations and behaviour in disadvantaged youth. Nat. Hum. Behav. 3, 214–220 (2019).
Stephens, N. M., Markus, H. R. & Phillips, L. T. Social class culture cycles: How three gateway contexts shape selves and fuel inequality. Annu. Rev. Psychol. 65, 611–634 (2014).
Kearney, M. S. & Levine, P. B. Income inequality, social mobility, and the decision to drop out of high school. Brookings Pap. Econ. Act. 1, 333–396 (2016).
Winding, T. N. & Andersen, J. H. Socioeconomic differences in school dropout among young adults: the role of social relations. BMC Public Health 15, 1–11 (2015).
Battin-Pearson, S. et al. Predictors of early high school dropout: A test of five theories. J. Educ. Psychol 92, 568–582 (2000).
Melby, J. N. et al. Adolescent family experiences and educational attainment during early adulthood. Dev. Psychol. 44, 1519–1536 (2008).
Schoon, I. & Polek, E. Teenage career aspirations and adult career attainment: The role of gender, social background and general cognitive ability. Int. J. Behav. Dev. 35, 210–217 (2011).
Weinberg, D., Stevens, G. W., Duinhof, E. & Finkenauer, C. Adolescent socioeconomic status and mental health inequalities in The Netherlands, 2001-2017. Int. J. Environ. Res. Public Health 16, 3606 (2019).
Godfrey, E. B., Santos, C. E. & Burson, E. For better or worse? System‐justifying beliefs in sixth‐grade predict trajectories of self‐esteem and behavior across early adolescence. Child Dev. 90, 180–195 (2019).
Weinberg, D. et al. Country-level meritocratic beliefs moderate the social gradient in adolescent mental health: a multilevel study in 30 European countries. J. Adolesc. Health 68, 548–557 (2020).
Rivenbark, J. et al. Adolescents’ perceptions of family social status correlate with health and life chances: A twin difference longitudinal cohort study. Proc. Natl. Acad. Sci. 117, 23323–23328 (2020).
Hilbert, L. P., Noordewier, M. K. & van Dijk, W. W. The prospective associations between financial scarcity and financial avoidance. J. Econ. Psychol 88, 102459 (2022).
Gennetian, L. A. & Shafir, E. The persistence of poverty in the context of financial instability: A behavioral perspective. J. Policy Anal. Manag 34, 904–936 (2015).
De Bruijn, E. J. & Antonides, G. Determinants of financial worry and rumination. J. Econ. Psychol. 76, 102233 (2020).
Böhn, S. & Deutscher, V. Dropout from initial vocational training–A meta-synthesis of reasons from the apprentice’s point of view. Educ. Res. Rev 35, 100414 (2022).
Flanagan, C. Developmental roots of political engagement. Polit. Sci. Polit. 36, 257–261 (2003).
Lerner, R. M. et al. Development of civic engagement: Theoretical and methodological issues. Int. J. Dev. Sci. 8, 69–79 (2014).
Watts, R. J., Diemer, M. A. & Voight, A. M. Critical consciousness: Current status and future directions. New Dir. Child Adolesc. Dev. 134, 43–57 (2011).
Amnesty International. The state of the world’s human rights: Report 2021/22. Amnesty International (2022).
Flanagan, C. A. & Kornbluh, M. How unequal is the United States? Adolescents’ images of social stratification. Child Dev 90, 957–969 (2019).
Weinberg, D. et al. The social gradient in adolescent mental health: mediated or moderated by belief in a just world? Eur. Child Adolesc. Eur. Child Adolesc. Psych. 32, 773–782 (2023).
Li, W. et al. Testing the status-legitimacy hypothesis in China: Objective and subjective socioeconomic status divergently predict system justification. Pers. Soc. Psychol. Bull. 46, 1044–1058 (2020).
McCoy, S. K. et al. Is the belief in meritocracy palliative for members of low status groups? Evidence for a benefit for self‐esteem and physical health via perceived control. Eur. J. Soc. Psychol. 43, 307–318 (2013).
Thomas, K. J. et al. Fairness, trust, and school climate as foundational to growth mindset: A study among Brazilian children and adolescents. Educ. Psychol. 39, 510–529 (2019).
Jost, J. T. & Hunyady, O. Antecedents and consequences of system-justifying ideologies. Curr. Dir. Psychol. Sci. 14, 260–265 (2005).
Dalbert, C. & Stoeber, J. The personal belief in a just world and domain-specific beliefs about justice at school and in the family: A longitudinal study with adolescents. Int. J. Behav. Dev. 30, 200–207 (2006).
Arsenio, W. F. & Willems, C. Adolescents’ conceptions of national wealth distribution: Connections with perceived societal fairness and academic plans. Dev. Psychol. 53, 463–474 (2017).
OECD. Governance for Youth, Trust and Intergenerational Justice: Fit for All Generations? OECD Public Governance Reviews, OECD Publishing, Paris, https://doi.org/10.1787/c3e5cb8a-en (2020).
Elsässer, L., Hense, S. & Schäfer, A. Government of the people, by the elite, for the rich: Unequal responsiveness in an unlikely case. MPIfG Discussion Paper, No. 18/5, Max Planck Institute for the Study of Societies, Cologne (2018).
Laurin, K. & Engstrom, H. R. The context of low socioeconomic status can undermine people’s motivation for financial success. Curr. Opin. Psychol. 33, 105–109 (2019).
Browman, A. S. et al. Perceptions of socioeconomic mobility influence academic persistence among low socioeconomic status students. J. Exp. Soc. Psychol. 72, 45–52 (2017).
Chen, E. & Miller, G. E. “Shift-and-persist” strategies: Why low socioeconomic status isn’t always bad for health. Perspect. Psychol. Sci. 7, 135–158 (2012).
Li, J. & Julian, M. M. Developmental relationships as the active ingredient: A unifying working hypothesis of “what works” across intervention settings. Am. J. Orthopsych. 82, 157–166 (2012).
Bowers, E. P. et al. Important non-parental adults and positive youth development across mid-to late-adolescence: The moderating effect of parenting profiles. J. Youth Adolesc. 43, 897–918 (2014).
Yancey, A. K., Siegel, J. M. & McDaniel, K. L. Role models, ethnic identity, and health-risk behaviors in urban adolescents. Arch. Pediatr. Adolesc. Med. 156, 55–61 (2002).
Quin, D. Longitudinal and contextual associations between teacher–student relationships and student engagement: A systematic review. Rev. Educ. Res. 87, 345–387 (2017).
Tyler, T. R. & Trinkner, R. Why children follow rules: Legal socialization and the development of legitimacy. Oxford University Press (2017).
Heberle, A. E., Rapa, L. J. & Farago, F. Critical consciousness in children and adolescents: A systematic review, critical assessment, and recommendations for future research. Psychol. Bull. 146, 525–551 (2020).
Pham, Y. K., Murray, C. & Gau, J. The inventory of teacher‐student relationships: Factor structure and associations with school engagement among high‐risk youth. Psychol. Schools 59, 413–429 (2022).
Ghavami, N., Katsiaficas, D. & Rogers, L. O. Toward an intersectional approach in developmental science: The role of race, gender, sexual orientation, and immigrant status. Adv. Child Dev. Behav. 50, 31–73 (2016).
Van Dijk, W. W., van der Werf, M. M. & van Dillen, L. F. The psychological inventory of financial scarcity (PIFS): A psychometric evaluation. J. Behav. Exp. Econ. 101, 101939 (2022).
Visser, K., Jonker, M., Finkenauer, C. & Stevens, G. W. ‘There are many ways to make it’: young minority men’s aspirations and navigation of their low-income neighbourhood: a case study in Utrecht, The Netherlands. Child. Geogr. 1–16 (2022).
Kraus, M. W. et al. Social class, solipsism, and contextualism: How the rich are different from the poor. Psychol. Rev. 119, 546–572 (2012).
Van Lange, P. A. Generalized trust: Four lessons from genetics and culture. Curr. Dir. Psychol. Sci. 24, 71–76 (2015).
Glatz, C. & Eder, A. Patterns of trust and subjective well-being across Europe: New insights from repeated cross-sectional analyses based on the European social survey 2002–2016. Soc. Indic. Res. 148, 417–439 (2020).
O’Neill, O. Linking trust to trustworthiness. Int. J. Philos. Stud. 26, 293–300 (2018).
Lundberg, O. Next steps in the development of the social determinants of health approach: The need for a new narrative. Scand. J. Public Health 48, 473–479 (2020).
Zhao, X., Lynch, J. G. & Chen, Q. Reconsidering Baron and Kenny: Myths and truths about mediation analysis. J. Consum. Res 37, 197–206 (2010).
Amemiya, J., Fine, A. & Wang, M. T. Trust and discipline: Adolescents’ institutional and teacher trust predict classroom behavioral engagement following teacher discipline. Child Dev. 91, 661–678 (2020).
Vázquez-Nava, F. et al. High school dropout: Association with family structure, maternal employment, and health-risk habits among female Mexican adolescents. J. Child Fam. Stud 28, 3307–3314 (2019).
Hobza, V. et al. The family affluence scale as an indicator for socioeconomic status: validation on regional income differences in the Czech Republic. Int. J. Environ. Res. Public Health 14, 1540 (2017).
Avvisati, F. The measure of socio-economic status in PISA: A review and some suggested improvements. Large-Scale Assess. Educ 8, 1–37 (2020).
Wray‐Lake, L. et al. Adolescents’ developing awareness of inequality: Racial and ethnic differences in trajectories. Child Dev 94, 439–457 (2023).
Krötz, M. & Deutscher, V. Drop-out in dual VET: why we should consider the drop-out direction when analysing drop-out. Empir. Res. Vocat. Educ. Train 14, 1–26 (2022).
Sommet, N. et al. How many participants do I need to test an interaction? Conducting an appropriate power analysis and achieving sufficient power to detect an interaction. Adv. Methods Pract. Psychol. Sci. (2023).
Gadermann, A. M., Guhn, M. & Zumbo, B. D. Estimating ordinal reliability for Likert-type and ordinal item response data: A conceptual, empirical, and practical guide. Pract. Assess. Res. Eval 17, 1–13 (2012).
Elgar, F. J. et al. Early-life income inequality and adolescent health and well-being. Soc. Sci. Med 174, 197–208 (2017).
Inchley J. et al. Growing up unequal: Gender and socioeconomic differences in young people’s health and well-being: Health Behaviour in School-aged Children (HBSC) study: International report from the 2013/2014 survey. WHO Regional Office for Europe, Copenhagen, Denmark (2016).
OECD. OECD Guidelines on Measuring Trust (2017).
Torsheim, T., Wold, B. & Samdal, O. The teacher and classmate support scale: factor structure, test-retest reliability and validity in samples of 13-and 15-year-old adolescents. School Psychol. Int. 21, 195–212 (2000).
Torsheim, T. et al. Cross-national measurement invariance of the teacher and classmate support scale. Soc. Indic. Res. 105, 145–160 (2012).
Duinhof, E. L. et al. Revising the self-report Strengths and Difficulties Questionnaire for cross-country comparisons of adolescent mental health problems: The SDQ-R. Epidemiol. Psychiatr. Sci 29, e35 (2019).
Goodman, R. The strengths and difficulties questionnaire: a research note. J. Child Psychol. Psych. 38, 581–586 (1997).
Muthén, L. K. & Muthén, B. O. Mplus user’s guide (8th ed.). Muthén & Muthén (2017).
Preacher, K. J. & Hayes, A. F. SPSS and SAS procedures for estimating indirect effects in simple mediation models. Behav. Res. Methods Instrum. Comput. 36, 717–731 (2004).
Cohen, J. Statistical power analysis for the behavioral sciences. Routledge: New York; 2013.
Satorra, A. & Bentler, P. M. Ensuring positiveness of the scaled difference chi-square test statistic. Psychometrika 75, 243–248 (2010).
Acknowledgements
Financial support was provided by Dynamics of Youth, Utrecht University, to CF and GWJMS.
Author information
Authors and Affiliations
Contributions
All authors have made substantial contributions to the study and to the writing of the manuscript. C.F. and G.W.J.M.S. obtained the funding for the study and initiated and coordinated the data collection together with D.W. M.B. analyzed the data and wrote the first draft of the Methods and Result section. G.W.J.M.S., M.B., M.J., K.V., J.S. and D.W. provided feedback on all sections of the manuscript and contributed to the interpretation of the results. All authors approved the final version of the manuscript. All authors have agreed both to take personal responsibility for their own contributions and to ensure that questions about the accuracy or integrity of any part of the work, including those in which the author was not personally involved, are appropriately investigated, resolved, and the resolution documented.
Corresponding author
Ethics declarations
Competing interests
The authors declare no competing interests.
Additional information
Publisher’s note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Supplementary information
Rights and permissions
Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
About this article
Cite this article
Finkenauer, C., Boer, M., Spitzer, J. et al. Examining the role of civic attitudes in the link between family wealth and school dropout among tertiary vocational students. npj Sci. Learn. 8, 38 (2023). https://doi.org/10.1038/s41539-023-00189-4
Received:
Accepted:
Published:
DOI: https://doi.org/10.1038/s41539-023-00189-4