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This article examines the extent to which normative beliefs on acculturation constitute (a) individual resources and risk factors for adolescents facing developmental tasks and (b) institutional norms that define developmental milieus in secondary schools. To what extent do egalitarianism, multiculturalism, assimilationism, and segregationism help or hinder academic and psychosocial adjustment in mid-adolescence? We examined how both individually endorsed beliefs and socially shared beliefs at the 10th-grade cohort level relate to students' academic performance, educational and occupational aspirations, motivational and emotional attachment to school, self-esteem, and life satisfaction. Data came from a random sample of 15- to 17-year-olds in Berlin, Germany, assessed at the end of Grades 9 and 10 (N = 1,992). Multivariate analyses identified egalitarianism and multiculturalism as the most prevalent acculturation beliefs, forming a combined belief pattern that pairs recognition of equality with respect for diversity. At the individual level, this belief pattern was positively related to academic and psychosocial adjustment. Assimilationism beliefs were associated with higher motivational and emotional attachment to school in both minority and majority students. Segregationism beliefs were associated with higher self-esteem in all adolescents regardless of background, but with lower levels of academic performance in immigrant youth. At the grade cohort level, a single bipolar factor (egalitarianism/multiculturalism vs. assimilationism/segregationism) described the institutional diversity culture. An environment characterized by egalitarianism/multiculturalism beliefs was positively associated with motivational and emotional attachment to school but not related to academic adjustment or psychological well-being.

Prior research has found that student achievement is positively related to students' social standing in class. However, negative stereotypes about high academic achievers prevail among secondary school students, suggesting that higher achievers might be less well-integrated socially. These stereotypes especially target academically high-achieving boys, students achieving highly in mathematics and sciences, and students performing well in opposite-gender stereotyped subjects. This article tries to link these stereotypes to actual social integration measured by self-report and social network nominations. It tests whether there is a nonlinear relationship between achievement and social integration, and whether high performance in opposite-gender stereotyped ways is associated with lower levels of social integration. Using data from a German large-scale assessment study with about 45,000 ninth-grade students, we investigated the relationship between achievement and multiple facets of social integration (friendship, acceptance, contact, and subjective integration). Overall, the relations between achievement and social integration were positive. Only the facet of friendship followed the hypothesized shape of an inverted U. We found no support for an interaction between general achievement level and gender and no interactions between subject of achievement and gender, except for the facet of acceptance (being asked for help by peers). Girls were asked for help more often than their male classmates, and this gender difference was particularly evident in students who were not as highly achieving. We conclude that high-achieving students are not at a higher risk for social exclusion and that stereotypes seem not to align with actual social relationships in secondary school classes in Germany.

In recent studies, the existence and relevance of achievement composition effects on students' individual achievement have been called into question because of the methodological challenges arising in multilevel analyses. Our study examined how class-average achievement is related to students' achievement development across one school year. We used data from Germany, which has a secondary school system with large achievement differences between schools and classrooms due to rigid, explicit between-school tracking practices. We accounted for two methodological challenges, controlling for both selection bias and measurement error. Adopting an approach based on integrative data analysis (IDA), we systematically (re)analyzed five German longitudinal large-scale data sets. This IDA approach allowed us to quantify the extent to which results vary across (a) different longitudinal data sets and (b) different analytical strategies (i.e., ways of accounting for confounding variables and measurement reliability). Overall, we found both general achievement composition effects and narrower peer spillover effects (i.e., effects of student composition above and beyond the effects of tracking) in the German setting, even after controlling for measurement error and selection bias. Our results counter recent suggestions that composition effects on achievement development may be mere phantom effects due to methodological misspecifications. However, estimates of composition effects varied substantially based on the analytical approach. We conclude with considerations regarding how to interpret composition effects in multilevel modeling and which effects are of interest for educational research.

Expectancy-value theory (EVT) proposes that students' appraisals of success expectancy and task value are the main drivers of their study and career choices. Dimensional comparison theory proposes that these beliefs are themselves affected by students comparing their ability across different domains. However, only a few studies have aimed to integrate these approaches and clarify the role of dimensional comparisons within EVT. Using longitudinal data, we aimed to fill this gap by studying within- and cross-domain effects of achievement (grades and test scores), academic self-concept (as a surrogate for expectancy beliefs), and values on German adolescents' (N = 519) high school course choices and their intentions to major in a STEM subject at university. We show that: (1) self-concepts predicted course choices, whereas values predicted STEM study intentions; (2) dimensional comparison patterns (positive within-domain and negative across-domain relations) were present; (3) gender differences in course choices were mediated by differences in achievement, self-concept, and value; and (4) there was an incremental gender effect on STEM study intentions above and beyond achievement, self-concept, value, and previous course choices. Furthermore, overall, a model incorporating cross-domain paths representing dimensional comparisons fit the data better than a model without these paths. We conclude that direct and indirect dimensional comparison effects contribute to predicting choices of high school courses and university majors and to understanding gender differences in these choices. We recommend that studies in the EVT framework include cross-domain effects.

Academic self-concept (ASC) is characterized by the dual nature of stability and change. That is, students strive for consistency in their self-concept but also receive achievement feedback that leads to changes in ASC. Only a few previous studies have scrutinized the stability of ASC. The STARTS model (Stable, AutoRegressive Trait, and State) disentangles three sources of variation that underlie individual differences in a construct across time: (a) a time-invariant stable component, (b) a time-varying, partly stable component, and (c) an occasion-specific state component. This study is the first to analyze the stability of ASC with the STARTS model. Rather than selecting a single data set, we followed the idea of using an integrative data analysis (IDA) and applied the STARTS model to 11 longitudinal studies that included more than 20,000 students. Our results show that there is a substantial proportion of stable trait variance in both mathematical (26%) and verbal self-concept (24%)--that is, some sources of individual differences in ASC are completely stable (e.g., genes, preschool environment). The largest part of the variation in ASC across time could be attributed to factors that systematically changed in an autoregressive way (e.g., achievement feedback). Mathematical self-concept showed higher stability than verbal self-concept as a result of a smaller proportion of occasion-specific state variance. The IDA also revealed substantial heterogeneity across studies. We argue that disentangling stable and temporally changing aspects of ASC is important not only for informing theory but also for assessing the potential of psychological interventions.

Which factors help young adults choose educational pathways leading to higher educational attainment? Academic self-concept (ASC), achievement, and socioeconomic background have all been found to be important predictors of postsecondary educational choices and success. Although research has shown that student composition in secondary school may affect some of these predictors, only a few studies (mostly from the United States) have investigated the effects of student composition on postsecondary educational outcomes. The results showed that students with similar individual achievement had lower postsecondary educational attainment if they graduated from secondary schools with higher mean achievement. It has been proposed that social comparison processes explain this negative context effect (big-fish-little-pond effect [BFLPE]). In contrast, students with the same individual socioeconomic status (SES) had higher postsecondary educational attainment if they graduated from secondary schools with a higher mean SES. In the present study, we investigated the effects of achievement-related and socioeconomic student composition on subsequent educational outcomes using data from a longitudinal study in Germany. Contrary to previous studies, our results showed that student composition had little relevance for later educational pathways. There was a small, long-lasting, indirect BFLPE of achievement-related composition in secondary school on postsecondary educational outcomes through students' ASC. Furthermore, individual SES was strongly related to postsecondary educational outcomes, whereas being in an academic-track school with a higher or lower mean SES was not relevant for postsecondary educational pathways.

Self-concept in mathematics (MSC) and interest in mathematics are important predictors of whether a student will choose to major in a science, technology, engineering, or mathematics (STEM) field at university. Research on the big-fish-little-pond effect (BFLPE) has shown that both predictors are affected by the achievement composition of students in schools. That is, given the same individual ability, students in higher achieving schools exhibit lower MSC and interest in mathematics than students in lower achieving schools due to social comparison processes. The BFLPE has been replicated in high school settings many times, but less is known about the long-term effects of this context effect. In the present study, we investigated the long-term effects of the BFLPE on the aspiration to major in and the actual decision to major in a STEM field at university. We used data from a German longitudinal study. The results showed no direct BFLPE on the aspiration to enroll in a STEM major at the end of high school or on actual enrollment in a STEM major 2 years after graduating from high school. However, small negative indirect effects of the BFLPE via MSC and interest in mathematics on the aspiration to and enrollment in a STEM major occurred. In sum, the longitudinal BFLPE on STEM major choice was small.

Despite the fact that grade retention is now seen as controversial in many quarters, it remains common practice in numerous countries. Previous research on the effects of grade retention on student development has, however, generated ambiguous results, particularly in terms of motivational outcomes. This ambiguity has been attributed in part to a lack of high-quality studies including a longitudinal design, a suitable comparison group, and adequate statistical control of preretention differences. Based on longitudinal data of N = 3,288 German students over 3 years of secondary school, we examined differences in their academic self-concept, scholarly interests, learning motivation, and achievement motivation between those being retained in the 6th grade (n = 61) and those of the same age being promoted annually. To account for confounding variables, we applied full propensity score matching on baseline measures of the dependent variables, as well as various other covariates that have been found to be associated with the risk of retention (e.g., cognitive ability, academic performance, and family background variables). Results reveal a steep decline in students' academic self-concept, interests, and learning motivation during the last months spent in the original class, just before retention. For those measures that were available, negative effects were still partly significant after 1 year, but had diminished 2 years after grade retention. Contrary to predictions suggested by the "big-fish-little-pond effect," we found no positive effects of retention on students' academic self-concept.

Dimensional comparison theory (DCT; Möller & Marsh, 2013) assumes that students compare their academic achievement intraindividually across domains to form domain-specific self-concepts. Upward dimensional comparisons are believed to lead to lower self-concepts in the worse-off domain, while downward dimensional comparisons should lead to higher self-concepts in the better-off domain. Furthermore, DCT assumes the net effect of upward and downward dimensional comparisons to be beneficial to the self. To test these assumptions, 3 experiments and 2 field studies were conducted investigating the relative effects of upward and downward dimensional comparisons as well as their net effect. In Studies 1 (N = 149), 2 (N = 150) and 3 (N = 300), participants were asked to infer self-concepts of fictitious students after receiving experimentally manipulated information about their achievements in 2 domains, whereas participants in Studies 4 (N = 2,268) and 5 (N = 20,662) assessed their own self-concepts in German and mathematics. In all studies, downward dimensional comparisons resulted in higher self-concepts, whereas upward dimensional comparisons led to lower self-concepts. The net effect of dimensional comparisons was always found to be not statistically different from zero. The findings therefore support the central prediction of DCT on the discreteness of the effects of upward and downward dimensional comparisons, yet do not support the assumed positivity of their net effect. Furthermore, results indicate the effect patterns to be rather universal as they were stable across different samples, domains, achievement situations, research designs, and types of assessment.

In this study, we analyzed how secondary school tracking relates to students' self-beliefs (i.e., their academic self-concepts in different domains and their beliefs regarding their labor market chances) and school disengagement during a time period that has received little attention in educational psychological research on tracking: when students are at the end of schooling and on the verge of entering the labor market. In doing so, we disentangled 2 distinguishing features of tracking: tracks as social contexts (operationalized via track level and the mean achievement of students' schoolmates) and tracks as pathways to different future opportunities (operationalized via educational certificates). Using questionnaire, achievement, and administrative school data from 2,155 students from 29 low-track schools, 23 intermediate-track schools, and 35 comprehensive schools in Berlin, Germany, we found educational certificates to be the most important factor shaping students' self-beliefs and school disengagement. Irrespective of their individual achievement, their schoolmates' achievement, and their track level, students who received the intermediate school-leaving certificate had higher academic self-concepts, believed that their certificate would give them better chances of success in the labor market, and were less disengaged from school than students who received the low school-leaving certificate. In contrast, students' track level did not serve as a predictor for the outcomes considered. The achievement of students' schoolmates (i.e., the big-fish-little-pond effect) was only relevant for students' academic self-concepts and not for students' self-beliefs regarding labor market entry or their school disengagement.

Academic self-concept has been conceptualized as a multidimensional and hierarchical construct. Previous research has mostly focused on its multidimensionality, distinguishing between verbal and mathematical self-concept domains, and only a few studies have examined the factorial structure within specific self-concept domains. The present study aims to extend the scarce evidence of the simultaneous operation of multidimensionality and hierarchy within language self-concepts. Skill-specific (i.e., reading, listening, speaking, and writing) and global self-concept measures for German as students' native language and English and French as students' foreign languages were administered to a sample of 4,257 ninth-grade German students. Confirmatory factor analyses demonstrated better levels of fit for multidimensional models with highly correlated but separate factors for each skill-specific self-concept compared to unidimensional models. The skill-specific facets could be aggregated into a higher order factor for each language, demonstrating a hierarchical structure. Differential gender effects on the various skill-specific self-concept facets provided further evidence of the multidimensional nature of language self-concepts, although differential relations to skill-specific achievement measures were not found. The high correlation between the higher order and global self-concept factors as well as similar gender effects and relations to achievement supported the notion of the similarity of both constructs. A comparable pattern of results emerged across the 3 languages, but detailed inspection indicated that multidimensionality seems to be more pronounced in the native language domain (German). The findings of the study are discussed regarding their implications for the assessment of language self-concepts and future research on the structure of language self-concepts.

Students evaluate their achievement in a specific domain in relation to their achievement in other domains and form their self-concepts accordingly. These comparison processes have been termed "dimensional comparisons" and shown to be an important source of academic self-concepts in addition to social and temporal comparisons. Research on the internal/external frame of reference model (I/E model) has frequently found negative effects of students' achievement on their academic self-concept between different scholastic domains (mathematics and the language of instruction) that are interpreted as contrast effects of dimensional comparisons. There is mixed evidence with regard to whether negative contrast effects or positive assimilation effects occur when students compare their achievement in domains that are more similar. In this study, we extended the original I/E model with 3 science domains (biology, chemistry, and physics). Using structural equation modeling, we analyzed the domain-specific self-concepts, grades, and test scores of a representative sample of 9th-grade students in Germany (N = 20,050) across 5 domains. Mathematics, physics, and chemistry showed contrast effects to German, whereas small assimilation effects were found between mathematics, physics, and chemistry. This effect pattern was present for both grades and test scores. Achievement in mathematics and the language of instruction affected self-concepts in the sciences, whereas achievement in the sciences had no effect on self-concepts in other subjects. The results support the hypotheses derived from dimensional comparison theory that both contrast and assimilation effects can result from dimensional comparisons and that the 3 science subjects are affected differentially by these comparisons.

Dimensional comparison theory (DCT; Moller & Marsh, 2013) assumes that students compare their academic achievement intraindividually across domains to form domain-specific self-concepts. Upward dimensional comparisons are believed to lead to lower self-concepts in the worse-off domain, while downward dimensional comparisons should lead to higher self-concepts in the better-off domain. Furthermore, DCT assumes the net effect of upward and downward dimensional comparisons to be beneficial to the self. To test these assumptions, 3 experiments and 2 field studies were conducted investigating the relative effects of upward and downward dimensional comparisons as well as their net effect. In Studies 1 (N = 149), 2 (TV = 150) and 3 (N = 300), participants were asked to infer self-concepts of fictitious students after receiving experimentally manipulated information about their achievements in 2 domains, whereas participants in Studies 4 (N = 2,268) and 5 (N = 20,662) assessed their own self-concepts in German and mathematics. In all studies, downward dimensional comparisons resulted in higher self-concepts, whereas upward dimensional comparisons led to lower self-concepts. The net effect of dimensional comparisons was always found to be not statistically different from zero. The findings therefore support the central prediction of DCT on the discreteness of the effects of upward and downward dimensional comparisons, yet do not support the assumed positivity of their net effect. Furthermore, results indicate the effect patterns to be rather universal as they were stable across different samples, domains, achievement situations, research designs, and types of assessment. [ABSTRACT FROM AUTHOR]