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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.

Social comparisons with peers are important sources of self-development during adolescence. Many previous studies showed that students' academic self-concepts (ASC) form by contrasting one's own achievement with the average of one's class or school (the Big-Fish-Little-Pond Effect [BFLPE]). Based on social comparison theory, however, we would expect some peers to be more likely social comparison targets than other peers, for example, because they are more visible or students perceive them as similar to themselves. In this study, we used sociometric data to analyze which peers play the most important role for social comparison effects on ASC. We examined how the average achievement of friends, study partners, peers perceived as popular by the student, as well as same-gender and same-ethnic peers affect the general ASC and how these effects compare to the effect of the classroom's average achievement. The study was based on a German longitudinal sample of 2,438 students (44% no recent immigrant background, 19% Turkish immigrant background, 10% Eastern European immigrant background, 27% other immigrant background) from 117 school classes that were followed from grade 9 to 10. Results from longitudinal social network analysis do not confirm substantial incremental effects of specific types of peers, while class average achievement showed a stable negative effect (confirming the BFLPE). In addition, we could provide evidence for social selection effects based on ASC. We conclude that classrooms provide a specific setting that imposes social comparisons with the "generalized peer" rather than with specific subgroups of peers.

Academic self-concept is understood as a multidimensional, hierarchical construct. Multidimensionality refers to the subject-specific differentiation of academic self-concepts, whereas hierarchy refers to the aggregation of more specific facets of self-concepts into more general ones. Previous research demonstrated that students distinguish between their self-concepts in biology, chemistry, and physics, if taught as separate school subjects, as is done in Germany. However, large-scale international educational studies, such as PISA, often use a monolithic science self-concept measure. It is yet unclear whether an aggregate of subject-specific self-concepts is equivalent to a directly measured science self-concept. We assessed the subject-specific and a global science self-concept of 1,229 German grade 10 students. A higher-order factor model and a bifactor model demonstrated a very high correlation between the "inferred" and the explicitly assessed global science self-concept. Despite the high empirical overlap, we argue for a more nuanced view of the science self-concept, because statistical unity is not to be confused with causal unity. Moreover, from a methodological perspective, we used multi-group confirmatory factor analysis to examine the mean structure and local structural equation models to study measurement invariance across science ability. Implications for the theoretical status of self-concept as a hierarchical construct are discussed.

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.

The structure of academic self-concept (ASC) is assumed to be multidimensional and hierarchical. This methodological review considers the most central models depicting the structure of ASC: a higher-order factor model, the Marsh/Shavelson model, the nested Marsh/Shavelson model, a bifactor representation based on exploratory structural equation modeling, and a first-order factor model. We elaborate on how these models represent the theoretical assumptions on the structure of ASC and outline their inherent psychometric properties. We analyzed these models using a data set of German 10th-grade students (N = 1,232) including a wide range of domain-specific ASCs as well as general ASC. The correlations among ASCs and between ASCs and academic achievement varied depending on the structural model used. We conclude with discussing recommendations for research purposes and advantages and limitations of each ASC model. Our approach may also guide research on other affective or motivational constructs (e.g., academic anxiety or interest).

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.

Educational expectations are a key predictor of educational attainment. Throughout adolescence, friends increasingly function as 'significant others' and, thus, can affect the development of these expectations. Although scholars often interpret the clustering of students with similar expectations within friendship networks as the outcome of peer influence, a similarity of friends can also be a result of friendship selection processes and preselection due to ability tracking. We apply multilevel social network models to panel data of adolescents from Germany (1,992 ninth-grade students in 91 classes) to disentangle these mechanisms. Beyond selecting similar friends (homophily), we find that adolescents adapt their expectations towards the average expectations of their friends (social influence) but only in secondary-school tracks that support diverse educational paths. We conclude that peer socialization is important for the development of students' educational expectations in contexts that are sufficiently heterogeneous to allow for the emergence of distinct peer milieus.

Geological evidence indicates that grounded ice sheets reached sea level at all latitudes during two long-lived Cryogenian (58 and ≥5 My) glaciations. Combined uranium-lead and rhenium-osmium dating suggests that the older (Sturtian) glacial onset and both terminations were globally synchronous. Geochemical data imply that CO2 was 102 PAL (present atmospheric level) at the younger termination, consistent with a global ice cover. Sturtian glaciation followed breakup of a tropical supercontinent, and its onset coincided with the equatorial emplacement of a large igneous province. Modeling shows that the small thermal inertia of a globally frozen surface reverses the annual mean tropical atmospheric circulation, producing an equatorial desert and net snow and frost accumulation elsewhere. Oceanic ice thickens, forming a sea glacier that flows gravitationally toward the equator, sustained by the hydrologic cycle and by basal freezing and melting. Tropical ice sheets flow faster as CO2 rises but lose mass and become sensitive to orbital changes. Equatorial dust accumulation engenders supraglacial oligotrophic meltwater ecosystems, favorable for cyanobacteria and certain eukaryotes. Meltwater flushing through cracks enables organic burial and submarine deposition of airborne volcanic ash. The subglacial ocean is turbulent and well mixed, in response to geothermal heating and heat loss through the ice cover, increasing with latitude. Terminal carbonate deposits, unique to Cryogenian glaciations, are products of intense weathering and ocean stratification. Whole-ocean warming and collapsing peripheral bulges allow marine coastal flooding to continue long after ice-sheet disappearance. The evolutionary legacy of Snowball Earth is perceptible in fossils and living organisms.

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.

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