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Institute
- Department Erziehungswissenschaft (160) (remove)
The influence of parents and peers on misconduct at school : simultaneous and synergistic effects
(1994)
Young people and the Family
(1998)
Motivation and activity
(1999)
Foreword and Introduction
(1999)
Chapter 17 : Summary
(2004)
Almost all shapes of adolescent risky and deviant behaviour take place in the context of peer-relations. The present study examined the role of parents and peer-relations with respect to two indicators of deviant political development. In the fall 1998, directly after the German parliamentary elections, 1309 East German adolescents were asked about their voting for a right-wing extremist party and their readiness to use violence in political action. Friend's voting was a strong predictor of individual voting for a right-wing extremist party, particularly when the friend was the best friend with a reciprocal nomination, and when the friends frequently communicated about political themes. In addition, voting behaviour and willingness to use violence were associated with membership in peer groups who met frequently. Finally, the violence disposed adolescents spent more of their spare time with peers and less with their parents. Similarities of our results with the findings of research on deviant behaviour in non-political areas support the idea that deviant political behaviour could be an expression of a problematic life situation. (C) 2004 Published by Elsevier Ltd. on behalf of The Association for Professionals in Services for Adolescents
Referring to the work of Steinberg (1988), two hypotheses were tested: Does menarche intensify the individuation process of the mother-daughter relationship? ("distancing hypothesis") and do conflicts between mothers and daughters speed up the onset of menarche? ("acceleration hypothesis"). Additionally, the significance of different family-structures to these processes is considered. Data was collected in a three wave panel. Sixty-eigth girls aged ten at the first wave were observed in a playing situation with their mothers and questioned about their menarche. The hypotheses were partly confirmed by logistic and hierarchical regression analyses: Menarche led to more controlling and less egalitarian behavior of the mothers. Girls' separating behavior preceded menarche immediately and therefore wasn't interpreted as an acceleration effect. Comparing nuclear and stepfamilies to single mother families, in the former families mothers were more controlling and less egalitarian and the girls were less separating. The interplay of puberty and individuation is discussed
In the years following German reunification, East and West German parents (282 mothers and 207 fathers) were interviewed about attitudes to the rearing of their 7- to 13-year-old children and about their social networks. Path analyses show that East German parents engage in more protective and less permissive parenting, and that East German fathers raise their children in a more traditional and authoritarian manner than their West German counterparts. In part, these differences can be attributed to the strong family orientation of East German parents (many and intensive kinship relations, few friends). Further analyses show that corollaries of the social upheavals in East Germany, namely closer cohesion of the immediate family and a decrease in the social support provided by the extrafamilial environment, are associated with protective attitudes to parenting and hence with the tendency to limit children's freedom of decision-making
Gender-related aspects of political identity formation in adolescence : Theories, concepts, findings
(2005)
For decades, gender differences in political orientations were consistently found in empirical studies, particularly in youth studies. Thus, compared with male adolescents, female adolescents often come off badly in regard to pivotal political orientations like political interest and subjective political competence. Conversely, female adolescents demonstrate even more interest and involvement than males when less conventional issues and modes of political participation are concerned. How could this be explained? First of all, the article classifies the field of political orientations into five large areas and gives a detailed overview of the findings of empirical research. Subsequently, different approaches of gender differences in political orientations are presented: biology, situation, structure, socialization, personality development, and feminist political science. Finally, a stronger integrative perspective of the different approaches is argued, and a more comprehensive view on gender differences in political orientations is suggested
In 2002 guidelines for the implementation of the internship programme for prospective teachers have been released in a joint venture by the Basic Education Sector Programme(BESP) of the GTZ (Gesellschaft für Technische Zusammenarbeit/German Technical Cooperation) and the Professional Development Centre (Teacher Education) of the National Institute for Education of Sri Lanka (NIE). These guidelines aim at assisting the National Colleges of Education (NCOEs) and internship schools in implementing the internship programme and at improving its efficiency and effectiveness in the local venues of teacher training. The Monitoring & Evaluation activity described in the present article was to assess as to how far the intentions originally associated with the internship programme are being accomplished. Its main task is to bring strengths and weaknesses of the programme to light and to appraise the current status of its implementation.
In the educational-political reform plans of the last few years (e.g. the federal all-day schooling program), different forms of cooperation between institutions of help for young people and schools have increasingly gained in significance. However, empirically solid knowledge on the effects of this cooperation is still rather limited. Taking as an example social work at schools, which is considered the closest form of cooperation between institutions of help for young people and schools, the authors analyze the state of knowledge on the effects, the interrelations of these effects, and the limits of the cooperation between institutions of help for adolescents and schools in the shape of action programs for school-related social work. By means of a meta-analysis of available empirical studies, the insights that have been generated so far as well as the deficits and blind spots of existing research and the subject-related and methodological challenges in future research on the effects and the use of social work are discussed.
In early modern times orphans have been children who could not expect sufficient support from their family because of lack of at least one parent, in most cases the father. This article will clarify of whom we are talking if we talk about orphans and what have been the conditions of living in a society which was organised by a high variety of status for these children. Why could they be called children at risk? What options have been developed to raise these children and how was the variety of institutions founded in the sixteenth, seventeenth and eighteenth centuries organised? The author draws from a number of studies on the history of poverty and provisions for orphans throughout Europe concluding with some considerations of the relevance of the Waisenhausstreit, a prominent German controversy brought about by enlightened educators and medical doctors during the second half of the eighteenth century when the option of raising orphans in centralised institutions became a controversial issue. Micro-historical investigation into orphanages in various European countries between 1550 and 1750 offers strong evidence that our view of orphans and orphanages are shaped by nineteenth-century notions of poverty and indigent children.
Prior research has shown that quantity of schooling affects the development of intelligence in childhood and adolescence. However, it is still debated whether other aspects of schooling-such as ability tracking or, more generally, school quality-can also influence intelligence. In this study, the authors analyzed intelligence gains in academic- and vocational-track schools in Germany, testing for differential effects of school quality (academic vs. vocational track) on psychometric intelligence. Longitudinal data were obtained from a sample of N = 1,038 Grade 7 and 10 students in 49 schools. A nonverbal reasoning test was used as an indicator of general psychometric intelligence, and relevant psychological and social background variables were included in the analyses. Propensity score matching was used to control for selection bias. Results showed a positive effect of attending the academic track.
Background. Assigning students to different school tracks on the basis of their achievement levels is a widely used strategy that aims at giving students the best possible learning opportunity. There is, however, a growing body of literature that questions such positive effects of tracking. Aims. This study compared the developmental trajectories of reading comprehension and decoding speed between students at academic track schools that typically prepare students for university entrance and students at non-academic track schools that usually prepare students for vocational education. Sample. In a longitudinal design with three occasions of data collection, the authors drew on a sample of N= 1,508 5th graders (age at T1 about 11 years, age at T3 about 14 years) from 60 schools in Germany. The academic track sample comprised n= 568 students; the non-academic track sample comprised n= 940 students. Method. Achievement measures were obtained by standardized tests of reading comprehension and decoding speed. Students at the different tracks were closely matched using propensity scores. To compare students growth trajectories between the different school tracks, we applied multi-group latent growth curve models. Results. Comparable results were recorded for the complete (unmatched) sample and for the matched pairs. In all cases, students at the different tracks displayed a similar growth in reading comprehension, whereas larger growth rates for students at academic track schools were recorded for decoding speed. Conclusions. Our findings contribute to an increasing body of literature suggesting that tracking might have undesired side effects.
Equally able students have lower academic self-concepts in high-achieving classrooms than in low-achieving classrooms. This highly general and robust frame of reference effect is widely known as the Big-Fish-Little-Pond Effect (BFLPE; Marsh, 1987). This study contributes to research aiming to identify moderators of the BFLPE by investigating the effects of students' personality (i.e. Big Five traits and narcissism). Multilevel structural equation modeling was used to test the moderator hypotheses, drawing on data from a large sample of N= 4973 upper secondary track students (M age = 19.57). Consistent with a priori predictions, the negative effect of school-average achievement (the BFLPE) interacted significantly with narcissism. Students high in narcissism experienced smaller BFLPEs than did students with low or average levels of narcissism. The statistically significant effect for neuroticism acted in the opposite direction. The study illustrates how personality moderates frame of reference effects that are central to self-concept formation.
The aim of the present study was to examine how different types of tracking—
between-school streaming, within-school streaming, and course-by-course
tracking—shape students’ mathematics self-concept. This was done in an
internationally comparative framework using data from the Programme for
International Student Assessment (PISA). After controlling for individual
and track mean achievement, results indicated that generally for students
in course-by-course tracking, high-track students had higher mathematics
self-concepts and low-track students had lower mathematics self-concepts.
For students in between-school and within-school streaming, the reverse pat-
tern was found. These findings suggest a solution to the ongoing debate about
the effects of tracking on students’ academic self-concept and suggest that the
reference groups to which students compare themselves differ according to the
type of tracking.
Recently, interest in collecting and mining large sets of educational data on student background and performance to conduct research on learning and instruction has developed as an area generally referred to as learning analytics. Higher education leaders are recognising the value of learning analytics for improving not only learning and teaching but also the entire educational arena. However, theoretical concepts and empirical evidence need to be generated within the fast evolving field of learning analytics. In this paper, we introduce a holistic learning analytics framework. Based on this framework, student, learning, and curriculum profiles have been developed which include relevant static and dynamic parameters for facilitating the learning analytics framework. Based on the theoretical model, an empirical study was conducted to empirically validate the parameters included in the student profile. The paper concludes with practical implications and issues for future research.
Using German data, we examined the effects of one specific type of acceleration-grade skipping-on academic performance. Prior research on the effects of acceleration has suffered from methodological restrictions, especially due to a lack of appropriate comparison groups and a priori measurements. For this reason, propensity score matching was applied in this analysis to minimize selection bias due to observed confounding variables. Various types of matching were attempted, and, in consideration of balancing the covariates, full matching was the final choice. We used data from the Berlin ELEMENT Study, analyzing, after matching, the information of 81 students who had skipped a grade over the course of elementary school and up to 1,668 nonaccelerated students who attended the same grade level as the accelerated students. Measurements took place 3 times between the 4th and 6th grades, including the assessment of reading, spelling, and mathematics performance. After matching, the results of between-group comparisons regarding performance indices showed no significant effects of skipping a grade, other than a small positive effect found on spelling performance. Theoretical implications and methodological limitations are discussed.
There is much interest in the identification of the main drivers controlling changes in the microbial community that may be related to sustainable land use. We examined the influence of soil properties and land-use intensity (N fertilization, mowing, grazing) on total phospholipid fatty acid (PLFA) biomass, microbial community composition (PLFA profiles) and activities of enzymes involved in the C, N, and P cycle. These relationships were examined in the topsoil of grasslands from three German regions (Schorfheide-Chorin (SCH), Hainich-Dun (HAI), Schwabische Alb (ALB)) with different parent material. Differences in soil properties explained 60% of variation in PLFA data and 81% of variation in enzyme activities across regions and land-use intensities. Degraded peat soils in the lowland areas of the SCH with high organic carbon (OC) concentrations and sand content contained lower PLFA biomass, lower concentrations of bacterial, fungal, and arbuscular mycorrhizal PLFAs, but greater enzyme activities, and specific enzyme activities (per unit microbial biomass) than mineral soils in the upland areas of the HAI and ALB, which are finer textured, drier, and have smaller OC concentrations. After extraction of variation that originated from large-scale differences among regions and differences in land-use intensities between plots, soil properties still explained a significant amount of variation in PLFA data (34%) and enzyme activities (60%). Total PLFA biomass and all enzyme activities were mainly related to OC concentration, while relative abundance of fungi and fungal to bacterial ratio were mainly related to soil moisture. Land-use intensity (LUI) significantly decreased the soil C:N ratio. There was no direct effect of LUI on total PLFA biomass, microbial community composition, N and P cycling enzyme activities independent of study region and soil properties. In contrast, the activities and specific activities of enzymes involved in the C cycle increased significantly with LUI independent of study region and soil properties, which can have impact on soil organic matter decomposition and nutrient cycling. Our findings demonstrate that microbial biomass and community composition as well as enzyme activities are more controlled by soil properties than by grassland management at the regional scale.
The present study investigates school context effects on psychosocial characteristics (academic self-concept, peer relations, school satisfaction, and school anxiety) of high-achieving and gifted students. Students who did or did not make an early transition from elementary to secondary schools for high-achieving and gifted students in 5th grade in Berlin, Germany, are compared in their psychosocial development. The sample comprises 155 early-entry students who moved to an academically selective secondary school (Gymnasium) and 3,169 regular students who remained in elementary school until the end of 6th grade. Overall, a complex pattern of psychosocial development emerged for all students, with both positive and negative outcomes being observed. Specifically, the transition into academically selective learning environments seemed to come at some cost for psychosocial development. Propensity score matching analysis isolating the effects of selective school intake and the school context effect itself revealed negative contextual effects of early transition to Gymnasium on academic self-concept and school anxiety; additionally, the positive trend in peer relations observed among regular students was not discernible among early-entry students.
Clinical reasoning is an essential competency in medical education. This study aimed at developing and validating a test to assess diagnostic accuracy, collected information, and diagnostic decision time in clinical reasoning. A norm-referenced computer-based test for the assessment of clinical reasoning (ASCLIRE) was developed, integrating the entire clinical decision process. In a cross-sectional study participants were asked to choose as many diagnostic measures as they deemed necessary to diagnose the underlying disease of six different cases with acute or sub-acute dyspnea and provide a diagnosis. 283 students and 20 content experts participated. In addition to diagnostic accuracy, respective decision time and number of used relevant diagnostic measures were documented as distinct performance indicators. The empirical structure of the test was investigated using a structural equation modeling approach. Experts showed higher accuracy rates and lower decision times than students. In a cross-sectional comparison, the diagnostic accuracy of students improved with the year of study. Wrong diagnoses provided by our sample were comparable to wrong diagnoses in practice. We found an excellent fit for a model with three latent factors-diagnostic accuracy, decision time, and choice of relevant diagnostic information-with diagnostic accuracy showing no significant correlation with decision time. ASCLIRE considers decision time as an important performance indicator beneath diagnostic accuracy and provides evidence that clinical reasoning is a complex ability comprising diagnostic accuracy, decision time, and choice of relevant diagnostic information as three partly correlated but still distinct aspects.
This longitudinal study of N = 1,566 adolescents investigated the protective role of optimism in adjustment to parental separation, focusing on two salient challenges faced by adolescents, namely academic achievement and self-esteem. Based on latent change models, the results indicated associations between parental separation and short-term declines in academic achievement as well as short-term and longer term declines in self-esteem. Although optimism in general showed positive associations with academic achievement and self-esteem, its role as a protective factor proved to be particularly important for academic achievement in adjustment following parental separation.
Change in test-taking motivation and its relationship to test performance in low-stakes assessments
(2017)
Since the turn of the century, an increasing number of low-stakes assessments (i.e., assessments without direct consequences for the test-takers) are being used to evaluate the quality of educational systems. Internationally, research has shown that low-stakes test results can be biased due to students’ low test-taking motivation and that students’ effort levels can vary throughout a testing session involving both cognitive and noncognitive tests. Thus, it is possible that students’ motivation varies throughout a single cognitive test and in turn affects test performance. This study examines the change in test-taking motivation within a 2-h cognitive low-stakes test and its association with test performance. Based on expectancy-value theory, we assessed three components of test-taking motivation (expectancy for success, value, and effort) and investigated its change. Using data from a large-scale student achievement study of German ninth-graders, we employed second-order latent growth modeling and structural equation modeling to predict test performance in mathematics. On average, students’ effort and perceived value of the test decreased, whereas expectancy for success remained stable. Overall, initial test-taking motivation was a better predictor of test performance than change in motivation. Only the variability of change in the expectancy component was positively related to test performance. The theoretical and practical implications for test practitioners are discussed.
Between-School Variation in Students' Achievement, Motivation, Affect, and Learning Strategies
(2017)
To plan group-randomized trials where treatment conditions are assigned to schools, researchers need design parameters that provide information about between-school differences in outcomes as well as the amount of variance that can be explained by covariates at the student (L1) and school (L2) levels. Most previous research has offered these parameters for U.S. samples and for achievement as the outcome. This paper and the online supplementary materials provide design parameters for 81 countries in three broad outcome categories (achievement, affect and motivation, and learning strategies) for domain-general and domain-specific (mathematics, reading, and science) measures. Sociodemographic characteristics were used as covariates. Data from representative samples of 15-year-old students stemmed from five cycles of the Programme for International Student Assessment (PISA; total number of students/schools: 1,905,147/70,098). Between-school differences as well as the amount of variance explained at L1 and L2 varied widely across countries and educational outcomes, demonstrating the limited generalizability of design parameters across these dimensions. The use of the design parameters to plan group-randomized trials is illustrated.
Quality of mathematics education has gained significant attention in educational politics and among educators as mathematics advances the foundations of analytical thinking necessary to excel in today’s knowledge-based economy. Recent research on instructional quality has focused on students’ development of competencies. Competency-based instruction is believed to be an effective approach to instruction as it is closely aligned to educational standards. We use data from the National Assessment Study 2012 in Germany and apply the theory of planned behavior to determine what motivates mathematics teachers (n = 1660) to take a competency-based approach to instruction. Results indicate that competencies outlined in the educational standards are a tangible element of current mathematics instruction. Within the framework of this study, we identified teachers’ perceived behavior control as the strongest determinant of taking a competency-based approach to instruction. We conclude that advancement of competency-based instruction depends on teachers’ beliefs about their professional resources.
Grounded in the expectancy-value and hope theories, the present
study was conducted to examine the extent to which self-efficacy,
task value, and academic hope predict persistence among science
teacher-trainees in Uganda. The sample consisted of 278 undergrad-
uate science teacher-trainees selected from a large public university
in northern Uganda. Data were collected using several scales from
the modified Motivated Strategies for Learning Questionnaire,
Academic Hope Scale, and College Persistence Questionnaire and
analyzed using structural equation modeling. Task value and aca-
demic hope significantly predicted students’ persistence. Academic
hope made a greater contribution to students’ persistence compared
to task value. The combined effect of task value and academic hope
did not make any significant contribution to students’ persistence.
The study highlights the need to strengthen students’ hopeful think-
ing and task value in order to increase their chances of completing
their studies. Implications of the study findings for educational practice and for the training of science teacher-trainees are elaborated in the article.
In the present study, we examined the relationships between motivational beliefs (self-efficacy, task value, and control of learning beliefs) and use of metacognitive learning strategies among teacher education students in Uganda. The sample comprised of 649 students selected from seven universities. Data were collected using several scales from the modified Motivated Strategies for Learning Questionnaire, and analysed using Structural Equation Modelling. Task value and self-efficacy independently and significantly predicted students’ reported use of metacognition. Students’ self-reported self-efficacy and task value explained 38% of the variance in their use of metacognition. The evidence suggests interventions aimed at improving teacher education students’ metacognitive skills to focus on enhancing their efficacy and value beliefs.
The purpose of this study is to examine whether teacher enthusiasm and classroom management self efficacy are related to classroom mastery orientation and student motivation. We used data from 803 students in grades 9 and 10 (53.3% girls) and their mathematics teachers (N = 41; 58.5% men). Student perceived teacher enthusiasm was related to classroom mastery orientation as well as to intrinsic value and cost at the student level. Teacher-reported self-efficacy was related to classroom mastery orientation at the classroom level. At both the individual and the classroom level, classroom mastery orientation was related to attainment and utility value.
A substantial amount of research has revealed that cyberbully-victims have more emotional and behavioral problems than either cyberbullying victims or perpetrators. However, until now, little research has been conducted into the factors that contribute to the interplay between cyberbullying victimization and perpetration. The purpose of this study was to examine the relationship between cyberbullying victimization, perpetration, and two emotional components of alexithymia, namely difficulties in identifying and describing one's own feelings. Self-report questions were administered to 1549 adolescents between 12 and 18 years old (M = 14.51; SD = 1.68; 42.1% (n = 652) male) from Germany and Thailand. Results showed that cyberbullying victimization and alexithymia are associated with cyberbullying perpetration. Moreover, alexithymia mediated the associations between cyberbullying victimization and adolescents' cyberbullying perpetration. Consequently, we suggest that the ability to describe and identify one's own feelings might be important for understanding the link between cyberbullying, victimization, and perpetration. The results may help develop prevention and intervention programs focused on reducing cyberbullying.
When knowing is believing
(2018)
In an effort to understand teachers' technology use, recent scholarship has explored the idea of technological pedagogical content knowledge (TPCK or TPACK). Many studies have used self-reports to measure this knowledge (SR TPCK). Several studies have examined the construct validity of these assessments by analysing the internal relationships of the knowledge domains, but little attention has been paid to how SR TPCK relates to external criteria. We tackled this question of discriminant validity by reanalysing 2 data sets. We used correlation and multiple regression analyses to explore whether conceptually related constructs explain any variance in participants' SR TPCK. In Study 1, we applied this strategy to German pre-service teachers using technology use, attitudinal variables, and objective measures of teachers' knowledge of technology and pedagogy as external criteria. In Study 2, we examined measures of technology knowledge, experience, and pro-technology beliefs for in-service teachers in the United States. Across both studies, a sizeable amount of the variance in SR TPCK is explained by teachers' prior technology use and pro-technology attitudes. In contrast, fact-based tests of technology and pedagogy are distinct from SR TPCK. We discuss implications for these findings and argue that researchers should gather complementary measures in concert.
In many countries, students are asked about their perceptions of teaching in order to make decisions about the further development of teaching practices on the basis of this feedback. The stability of this measurement of teaching quality is a prerequisite for the ability to generalize the results to other teaching situations. The present study aims to expand the extant empirical body of knowledge on the effects of situational factors on the stability of students’ perceptions of teaching quality. Therefore, we investigate whether the degree of stability is moderated by three situational factors: time between assessments, subjects taught by teachers, and students’ grade levels. To this end, we analyzed data from a web-based student feedback system. The study involved 497 teachers, each of whom conducted two student surveys. We examined the differential stability of student perceptions of 16 teaching constructs that were operationalized as latent correlations between aggregated student perceptions of the same teacher’s teaching. Testing metric invariance indicated that student ratings provided measures of teaching constructs that were invariant across time, subjects, and grade levels. Stability was moderated to some extent by grade level but not by subjects taught nor time spacing between surveys. The results provide evidence of the extent to which situational factors may affect the stability of student perceptions of teaching constructs. The generalizability of the students’ feedback results to other teaching situations is discussed.
Low-achieving students are at risk of experiencing a pattern of emotional, motivational, and cognitive deficits called school-related helplessness if they attribute their low achievement to low aptitude. Teachers' beliefs about the causes of students' low achievement are important sources of attributional information for students. In a sample of 2117 German ninth-graders attending the lowest track, 118 math and 129 German-language teachers, we tested whether teachers' beliefs about the extent to which aptitude causes achievement moderated the achievement-helplessness relation in students and whether there were differences between math and German. Multilevel analyses revealed that low prior achievement predicted higher helplessness in both subjects but the effect was stronger in math than in German. Teachers' beliefs amplified the achievement-helplessness relation in math but not in German. Results are discussed regarding domain-specific epistemological beliefs, and implications for research and practice are derived.
Students' achievement emotions are critical in their academic development. Therefore, teachers need to create an emotionally positive learning environment. In the light of this, the present study investigated the connection between students' enjoyment, anxiety, boredom and, in the first case, students' academic self-concept and, in the second, teachers' diagnostic skills. The third part of our study examined whether this link would be moderated by students' academic self-concept. Our sample comprised N = 1803 eighth-grade students who reported their achievement emotions and evaluated the diagnostic skills of both their German and mathematics teachers. Hierarchical models indicated that students experience more enjoyment and less anxiety and boredom if teachers exhibit better diagnostic skills. The role of teachers' diagnostic skills in relation to students' emotions was in part moderated by the students' self-concept. These results are discussed in terms of their implications for effective teaching.
Learning analytics design
(2018)
Instructional designers use learning analytics information to evaluate designs of learning environments, learning materials, and tasks, and adjust difficulty levels, as well as measure the impact of interventions and feedback. Integrating real-time educational data and analysis into the design of learning environments, referred to as learning analytics design (LAD), seems to be a promising approach. Valid pedagogical recommendations may be suggested on the fly as learning analytics methodologies and visualizations evolve and as reliable tools become available and ready for classroom practice. This chapter aims to offer an overview on design and analytics of learning environments before reviewing opportunities of learning analytics design for optimizing learning environments in near real time. Learning analytics (LA) use static and dynamic information about learners and learning environments—assessing, eliciting, and analyzing them—for real-time modeling, prediction, and optimization of learning processes, learning environments, and educational decision-making.
Many educational technology proponents support the Technological Pedagogical Content Knowledge (TPACK) model as a way to conceptualize teaching with technology, but recent TPACK research shows a need for empirical studies regarding the development of this knowledge. This proof-of-concept study applies mixed-methods to investigate the meta-cognitive awareness produced by teachers who participate in the Graphic Assessment of TPACK Instrument (GATI). This process involves creating graphical representations (circles of differing sizes and the degree of their overlap) that represent what teachers understand to be their current and aspired TPACK. This study documented teachers’ explanations during a think-aloud procedure as they created their GATI figures. The in-depth data from two German teachers who participated in the process captured the details of their experience and demonstrated the potential of the GATI to support teachers in reflecting about their professional knowledge and in determining their own professional development activities. These findings will be informative to future pilot studies involving the larger design of the GATI process, to better understand the role of teachers’ meta-conceptual awareness, and to better ascertain how the GATI might be used to support professional development on a larger scale.
Social transitions are characterized by an increased heterogeneity in Western societies. Following the life course perspective, individual agency becomes central in shaping one’s life course. This article examines social transitions of adolescents using individual resource theory to explain differences of the timing of five transitions in partnership and family formation: the first sexual experience, the first intimate relationship, the first cohabitation, the first marriage, and the birth of the first child. Since little is so far known about how individual characteristics interact and influence the social transition to adulthood, we focus on the varying impacts of personal, social and socio-economic resources across the social life course. We use longitudinal data from the German LifE-Study, which focuses on the birth cohort of individuals born between 1965 and 1967. Using event history analysis, we find that the timing of the first sexual experience and first partnership transitions are mainly influenced by personal and social ressources, whereas socio-economic resources offer better explanations for the timing of entering marriage and parenthood. Most striking are the different explanatory models for women and men.
Effects of achievement differences for internal/external frame of reference model investigations
(2018)
Background
Achievement in math and achievement in verbal school subjects are more strongly correlated than the respective academic self-concepts. The internal/external frame of reference model (I/E model; Marsh, 1986, Am. Educ. Res. J., 23, 129) explains this finding by social and dimensional comparison processes. We investigated a key assumption of the model that dimensional comparisons mainly depend on the difference in achievement between subjects. We compared correlations between subject-specific self-concepts of groups of elementary and secondary school students with or without achievement differences in the respective subjects.
Aims
The main goals were (1) to show that effects of dimensional comparisons depend to a large degree on the existence of achievement differences between subjects, (2) to demonstrate the generalizability of findings over different grade levels and self-concept scales, and (3) to test a rarely used correlation comparison approach (CCA) for the investigation of I/E model assumptions.
Samples
We analysed eight German elementary and secondary school student samples (grades 3–8) from three independent studies (Ns 326–878).
Method
Correlations between math and German self-concepts of students with identical grades in the respective subjects were compared with the correlation of self-concepts of students having different grades using Fisher's Z test for independent samples.
Results
In all samples, correlations between math self-concept and German self-concept were higher for students having identical grades than for students having different grades. Differences in median correlations had small effect sizes for elementary school students and moderate effect sizes for secondary school students.
Conclusions
Findings generalized over grades and indicated a developmental aspect in self-concept formation. The CCA complements investigations within I/E-research.
Person-centered research has shown that individuals can be assigned to different motivational profiles, but only scattered studies have addressed motivational profiles in specific domains. We investigated the stability and change in motivational profiles in mathematics classrooms and examined how perceived teaching predicted changes in profile membership. Data for this study stemmed from the PISA-I Plus study (N=6020). Latent profile analysis identified four motivational patterns: Medium, Low, High and Highly confident, hardly interested. Stability in profiles from grade 9 to 10 was typical. Instructional clarity and teaching for meaning predicted changes in profile membership.
Schools as acculturative and developmental contexts for youth of immigrant and refugee background
(2018)
Schools are important for the academic and socio-emotional development, as well as acculturation of immigrant-and refugee-background youth. We highlight individual differences which shape their unique experiences, while considering three levels of the school context in terms of how they may affect adaptation outcomes: (1) interindividual interactions in the classroom (such as peer relations, student-teacher relations, teacher beliefs, and teaching practices), (2) characteristics of the classroom or school (such as ethnic composition and diversity climate), and (3) relevant school-and nation-level policies (such as diversity policies and school tracking). Given the complexity of the topic, there is a need for more research taking an integrated and interdisciplinary perspective to address migration related issues in the school context. Teacher beliefs and the normative climate in schools seem particularly promising points for intervention, which may be easier to change than structural aspects of the school context. More inclusive schools are also an important step toward more peaceful interethnic relations in diverse societies.
This investigation examined the dynamic relation between culturally responsive teaching, teacher cultural diversity beliefs, and self-reflection on own teaching. A multiple case study with four ethnic German teachers was conducted using classroom video observations (3 lesson units X 2 raters) and post observation interviews in a culturally and ethnically diverse high school. For these teachers there was a high congruence between culturally responsive teaching and cultural diversity beliefs. Yet their degree of cultural responsiveness and their beliefs differed across teachers. The teachers who were observed to be more culturally responsive also showed elaborated patterns of self-reflection on their own teaching.
The current study was designed to assess early adolescents’ response evaluation and decision for hypothetical peer victimization vignettes. Participants were 336 (59% girls; X¯¯¯ age = 12.55) seventh and eighth graders from one school in the Midwestern United States. Adolescents read a hypothetical online or offline social situation and answered questions designed to access internal congruence, response evaluation, response efficacy, emotional outcome expectancy, and social outcome expectancy. Girls were more likely to believe that aggressive responses online and offline would lead to positive social and emotional outcome expectancies when compared with boys. Adolescents were more likely to believe that offline and online aggressive responses were legitimate responses to face-to-face victimization, feel that aggressive responses online or offline were easier to execute in response to face-to-face victimization, and that aggressive responses online or offline would lead to positive emotions and better social outcomes.
To date, little has been known about teachers’ success in bullying interventions. Thus, the present study analyzes how successfully teachers intervene in real bullying situations, based on an analysis of 1,996 reports by German students aged between 12 and 15 (49.2% female) from 24 schools. Predictors of success included intervention strategy (authoritarian-punitive, supportive-individual, supportive-cooperative intervention), bullying form (physical, verbal, relational, cyber), and the student’s bullying role (bully, victim, bystander) in the particular situation. Multilevel analyses showed that supportive-cooperative intervention strategies were the most successful in dealing with bullying in both the short and long term. In the long term, students evaluated teachers as being more successful in dealing with cyberbullying compared with physical bullying. Compared with students who observed bullying, students who perpetrated it were less likely to report that teachers’ interventions were successful in the short term. Implications for bullying intervention, preservice teacher-training, and future research are discussed.
Today's adolescents grow up using information and communication technologies as an integral part of their everyday life. This affords them with extensive opportunities, but also exposes them to online risks, such as cybergrooming and cyberbullying victimization. The aims of this study were to investigate correlates of cybergrooming and cyberbullying victimization and examine whether victims of both cybergrooming and cyberbullying (dual-cybervictims) show higher involvement in compulsive Internet use (CIU) and troubled offline behavior (TOB) compared to victims of either cybergrooming or cyberbullying (mono-cybervictims). The sample consisted of 2,042 Dutch, German, Thai, and U.S. adolescents (age = 11–17 years; M = 14.2; SD = 1.4). About every ninth adolescent (10.9 percent) reported either mono- or dual-cybervictimization. Second, both CIU and TOB were associated with all three types of cybervictimization, and finally, both CIU and TOB were more strongly linked to dual-cybervictimization than to both forms of mono-cybervictimization. These findings contribute to a better understanding of the associations between different forms of cybervictimization and psychological health and behavior problems among adolescents.
While the role of and consequences of being a bystander to face-to-face bullying has received some attention in the literature, to date, little is known about the effects of being a bystander to cyberbullying. It is also unknown how empathy might impact the negative consequences associated with being a bystander of cyberbullying. The present study focused on examining the longitudinal association between bystander of cyberbullying depression, and anxiety, and the moderating role of empathy in the relationship between bystander of cyberbullying and subsequent depression and anxiety. There were 1,090 adolescents (M-age = 12.19; 50% female) from the United States included at Time 1, and they completed questionnaires on empathy, cyberbullying roles (bystander, perpetrator, victim), depression, and anxiety. One year later, at Time 2, 1,067 adolescents (M-age = 13.76; 51% female) completed questionnaires on depression and anxiety. Results revealed a positive association between bystander of cyberbullying and depression and anxiety. Further, empathy moderated the positive relationship between bystander of cyberbullying and depression, but not for anxiety. Implications for intervention and prevention programs are discussed.
Value-added (VA) modeling can be used to quantify teacher and school effectiveness by estimating the effect of pedagogical actions on students’ achievement. It is gaining increasing importance in educational evaluation, teacher accountability, and high-stakes decisions. We analyzed 370 empirical studies on VA modeling, focusing on modeling and methodological issues to identify key factors for improvement. The studies stemmed from 26 countries (68% from the USA). Most studies applied linear regression or multilevel models. Most studies (i.e., 85%) included prior achievement as a covariate, but only 2% included noncognitive predictors of achievement (e.g., personality or affective student variables). Fifty-five percent of the studies did not apply statistical adjustments (e.g., shrinkage) to increase precision in effectiveness estimates, and 88% included no model diagnostics. We conclude that research on VA modeling can be significantly enhanced regarding the inclusion of covariates, model adjustment and diagnostics, and the clarity and transparency of reporting.
What is the added value from attending a certain school or being taught by a certain teacher? To answer this question, the value-added (VA) model was developed. In this model, the actual achievement attained by students attending a certain school or being taught by a certain teacher is juxtaposed with the achievement that is expected for students with the same background characteristics (e.g., pretest scores). To this end, the VA model can be used to compute a VA score for each school or teacher, respectively. If actual achievement is better than expected achievement, there is a positive effect (i.e., a positive VA score) of attending a certain school or being taught by a certain teacher. In other words, VA models have been developed to “make fair comparisons of the academic progress of pupils in different settings” (Tymms 1999, p. 27). Their aim is to operationalize teacher or school effectiveness objectively. Specifically, VA models are often used for accountability purposes and high-stakes decisions (e.g., to allocate financial or personal resources to schools or even to decide which teachers should be promoted or discharged). Consequently, VA modeling is a highly political topic, especially in the USA, where many states have implemented VA or VA-based models for teacher evaluation (Amrein-Beardsley and Holloway 2017; Kurtz 2018). However, this use for high-stakes decisions is highly controversial and researchers seem to disagree concerning the question if VA scores should be used for decision-making (Goldhaber 2015). For a more exhaustive discussion of the use of VA models for accountability reasons, see, for example, Scherrer (2011).
Given the far-reaching impact of VA scores, it is surprising that there is scarcity of systematic reviews of how VA scores are computed, evaluated, and how this research is reported. To this end, we review 370 empirical studies from 26 countries to rigorously examine several key issues in VA modeling, involving (a) the statistical model (e.g., linear regression, multilevel model) that is used, (b) model diagnostics and reported statistical parameters that are used to evaluate the quality of the VA model, (c) the statistical adjustments that are made to overcome methodological challenges (e.g., measurement error of the outcome variables), and (d) the covariates (e.g., pretest scores, students’ sociodemographic background) that are used when estimating expected achievement.
All this information is critical for meeting the transparency standards defined by the American Educational Research Association (AERA 2006). Transparency is vital for educational research in general and especially for highly consequential research, such as VA modeling. First, transparency is highly relevant for researchers. The clearer the description of the model, the easier it is to build upon the knowledge of previous research and to safeguard the potential for replicating previous results. Second, because decisions that are based on VA scores affect teachers’ lives and schools’ futures, not only educational agents but also the general public should be able to comprehend how these scores are calculated to allow for public scrutiny. Specifically, given that VA scores can have devastating consequences on teachers’ lives and on the students they teach, transparency is particularly important to evaluate the chosen methodology to compute VA models for a certain purpose. Such evaluations are essential to answer the question to what extent the quality of VA scores allows to base far-reaching decisions on these scores for accountability purposes.
Undisclosed desires
(2019)
Following decades of quality management featuring in higher education settings, questions regarding its implementation, impact and outcomes remain. Indeed, leaving aside anecdotal case studies and value-laden documentaries of best practice, current research still knows very little about the implementation of quality management in teaching and learning within higher education institutions. Referring to data collected from German higher education institutions in which a quality management department or functional equivalent was present, this article theorises and provides evidence for the supposition that the implementation of quality management follows two implicit logics. Specifically, it tends either towards the logic of appropriateness or, contrastingly, towards the logic of consequentialism. This study’s results also suggest that quality managers’ socialisation is related to these logics and that it influences their views on quality management in teaching and learning.
Professional development on fostering students’ academic language proficiency across the curriculum
(2019)
This meta-analysis aggregates effects from 10 studies evaluating professional development interventions aimed at qualifying in-service teachers to support their students in mastering academic language skills while teaching their respective subject areas. The analysis of a subset of studies revealed a small non-significant weighted training effect on teachers' cognition (g' = 0.21, SE = 0.14). An effect aggregation including all studies (with 650 teachers) revealed a medium to large weighted overall effect on teachers' classroom practices (g' = 0.71, SE = 0.16). Methodological variables moderated the effect magnitude. Nevertheless, the results suggest professional development is beneficial for improving teachers' practice.
The purpose of this paper is to analyse data on first-year students’ needs regarding academic support services and reasons for their intention to leave the institution prior to degree completion. On the basis of the findings, a digital badge outline is proposed which could contribute to improved communication of academic requirements in order to help students to better adapt to higher education demands. Digital badges might also serve as an indicator for students’ needing additional academic support services.
Achievement emotions are important prerequisites for academic outcomes and well-being, yet little is known about their relation to teaching quality. This study examines the relation between student-perceived teaching quality in mathematics classrooms in grade 9 and enjoyment, anxiety, and boredom in grade 10, at both the student and classroom levels. The original data set included 6020 students who participated in the German national extension of the Programme for International Student Assessment (PISA). Multilevel regression analyses showed that teacher support and classroom management were negatively related to student-level anxiety and boredom. Teacher support was positively related to enjoyment and negatively related to anxiety at the classroom level. Cognitive activation was positively related to enjoyment and negatively related to boredom at the classroom level. Classroom management was negatively related to classroom-level boredom. These results provide insight into differential classroom processes regarding the role of teaching quality in various aspects of student achievement emotions.
Previous research has identified students' personality traits, especially conscientiousness, as highly relevant predictors of academic success. Less is known about the role of Big Five personality traits in students when it comes to teachers' decisions about students' educational trajectories and whether personality traits differentially affect these decisions by teachers in different grade levels. This study examines to what extent students' Big Five personality traits affect teacher decisions on grade retention, looking at two cohorts of 12,146 ninth-grade and 6002 seventh-grade students from the German National Educational Panel Study. In both grade levels, multilevel logistic mediation models show that students' conscientiousness indirectly predicts grade retention through the assignment of grades by teachers. In the ninth-grade sample, students' conscientiousness was additionally a direct predictor of retention, distinct from teacher-assigned grades. We discuss potential underlying mechanisms and explore whether teachers base their decisions on different indicators when retaining seventh-grade students or ninth-grade students.
Acculturation and developmental theories and frameworks have merged steadily to portray the development and adaptation of immigrant children more comprehensively. In this article, we trace this evolution to show how research has increasingly provided greater specificity in identifying the domains, dimensions, and contexts of acculturation processes, as integrated with greater concern for developmental principles. Although models have become more complex and comprehensive, we still need well-formulated theoretical explanations for the many processes that link development with acculturation and subsequent adjustment. We argue that novel developmental and acculturation concepts could advance specific lines of research situated in these complex models. By continuing to integrate developmental science and acculturation research more explicitly, we can arrive at a clearer and more complete understanding of how immigrant children and youth adapt across the lifespan.
Do stereotypes strike twice?
(2019)
Stereotypes influence teachers' perception of and behaviour towards students, thus shaping students' learning opportunities. The present study investigated how 315 Australian pre-service teachers' stereotypes about giftedness and gender are related to their perception of students' intellectual ability, adjustment, and social-emotional ability, using an experimental vignette approach and controlling for social desirability in pre-service teachers' responses. Repeated-measures ANOVA showed that pre-service teachers associated giftedness with higher intellectual ability, but with less adjustment compared to average-ability students. Furthermore, pre-service teachers perceived male students as less socially and emotionally competent and less adjusted than female students. Additionally, pre-service teachers seemed to perceive female average-ability students' adjustment as most favourable compared to male average-ability students and gifted students. Findings point to discrepancies between actual characteristics of gifted female and male students and stereotypes in teachers' beliefs. Consequences of stereotyping and implications for teacher education are discussed.
Background Problem behaviour theory postulates that different forms of norm violations cluster and can be explained by similar antecedents. One such cluster may include cyberbullying and cyberhate perpetration. A potential explanatory mechanism includes toxic online disinhibition, characterised by anonymity, an inability to empathise and to recognise and interpret social cues. The current study to develop a better understanding of the relationship between cyberhate and cyberbullying to inform effective intervention and prevention efforts. Aims To test the link between cyberbullying and cyberhate and whether this relationship was moderated by toxic online disinhibition. Methods Self-report questionnaires on cyberbullying, cyberhate, and toxic online disinhibition were completed by 1,480 adolescents between 12 and 17 years old (M = 14.21 years; SD = 1.68). Results Increases in cyberbullying perpetration and toxic online disinhibition were positively related to cyberhate perpetration. Furthermore, cyberbullies reported more cyberhate perpetration when they reported higher levels of toxic online disinhibition and less frequent cyberhate perpetration when they reported lower levels of toxic online disinhibition. Conclusion The current study provides evidence of a possible link between cyberbullying and cyberhate perpetration, moderated by toxic online disinhibition. This suggests that, to be effective, prevention and intervention programmes should (i) consider the co-occurrence of varying forms of cyberaggression and (ii) consider potential effects of the online environment on aggressive online behaviour among young people.
Online hatred based on attributes, such as origin, race, gender, religion, or sexual orientation, has become a rising public concern across the world. Past research on aggressive behavior suggests strong associations between victimization and perpetration and that toxic online disinhibition and sex might influence this relationship. However, no study investigated both the relationship between online hate victimization and perpetration and the potential moderation effects of toxic online disinhibition on this relationship. To this end, the present study was conducted. The sample consists of 1,480 7th to 10th graders from Germany. Results revealed positive associations between online hate victimization and perpetration. Furthermore, the results support the idea that toxic online disinhibition and sex, by way of moderator effects, affect the relationship between online hate victimization and perpetration. Victims of online hate reported more online hate perpetration when they reported higher levels of online disinhibition and less frequent online hate perpetration when they reported lower levels of toxic online disinhibition. Additionally, the relationship between online hate victimization and perpetration was significantly greater among boys than among girls. Taken together, our results extend previous findings to online hate involvement among adolescents and substantiate the importance to conduct more research on online hate. In addition, our findings highlight the need for prevention and intervention programs that help adolescents deal with the emerging issue of online hate.
The aim of the present study was to investigate the potential moderating role of online disinhibition in the associations between adolescents' callous-unemotional traits (callousness, uncaring, unemotional) and anonymous and non-anonymous cyberbullying. To this end, 1047 (49.2% female) 7th and 8th graders completed questionnaires on their face-to-face bullying, cyberbullying, callous-unemotional traits, and online disinhibition. The findings revealed that increases in uncaring were more associated with self-reported non-anonymous and anonymous cyberbullying at higher levels of online disinhibition. The findings are discussed in the context of the characteristics associated with callous-unemotional traits, and how these characteristics increase adolescents' risk of cyberbullying perpetration. Recommendations are made for tailoring intervention programs to consider adolescents' personality traits.
Differentiation of intelligence refers to changes in the structure of intelligence that depend on individuals' level of general cognitive ability (ability differentiation hypothesis) or age (developmental differentiation hypothesis). The present article aimed to investigate ability differentiation, developmental differentiation, and their interaction with nonlinear factor analytic models in 2 studies. Study 1 was comprised of a nationally representative sample of 7,127 U.S. students (49.4% female; M-age = 14.51, SD = 1.42, range = 12.08-17.00) who completed the computerized adaptive version of the Armed Service Vocational Aptitude Battery. Study 2 analyzed the norming sample of the Berlin Intelligence Structure Test with 1,506 German students (44% female; M-age = 14.54, SD = 1.35, range = 10.00-18.42). Results of Study 1 supported the ability differentiation hypothesis but not the developmental differentiation hypothesis. Rather, the findings pointed to age-dedifferentiation (i.e., higher correlations between different abilities with increasing age). There was evidence for an interaction between age and ability differentiation, with greater ability differentiation found for older adolescents. Study 2 provided little evidence for ability differentiation but largely replicated the findings for age dedifferentiation and the interaction between age and ability differentiation. The present results provide insight into the complex dynamics underlying the development of intelligence structure during adolescence. Implications for the assessment of intelligence are discussed.
There is no consensus on which statistical model estimates school value-added (VA) most accurately. To date, the two most common statistical models used for the calculation of VA scores are two classical methods: linear regression and multilevel models. These models have the advantage of being relatively transparent and thus understandable for most researchers and practitioners. However, these statistical models are bound to certain assumptions (e.g., linearity) that might limit their prediction accuracy. Machine learning methods, which have yielded spectacular results in numerous fields, may be a valuable alternative to these classical models. Although big data is not new in general, it is relatively new in the realm of social sciences and education. New types of data require new data analytical approaches. Such techniques have already evolved in fields with a long tradition in crunching big data (e.g., gene technology). The objective of the present paper is to competently apply these "imported" techniques to education data, more precisely VA scores, and assess when and how they can extend or replace the classical psychometrics toolbox. The different models include linear and non-linear methods and extend classical models with the most commonly used machine learning methods (i.e., random forest, neural networks, support vector machines, and boosting). We used representative data of 3,026 students in 153 schools who took part in the standardized achievement tests of the Luxembourg School Monitoring Program in grades 1 and 3. Multilevel models outperformed classical linear and polynomial regressions, as well as different machine learning models. However, it could be observed that across all schools, school VA scores from different model types correlated highly. Yet, the percentage of disagreements as compared to multilevel models was not trivial and real-life implications for individual schools may still be dramatic depending on the model type used. Implications of these results and possible ethical concerns regarding the use of machine learning methods for decision-making in education are discussed.
German orthography systematically marks all nouns (even other nominalized word classes) by capitalizing their first letter. It is often claimed that readers benefit from the uppercase-letter syntactic and semantic information, which makes the processing of sentences easier (e.g., Bock et al., 1985, 1989). In order to test this hypothesis, we asked 54 German readers to read single sentences systematically manipulated by a target word (N). In the experimental condition (EXP), we used semantic priming (in the following example: sick -> cold) in order to build up a strong expectation of a noun, which was actually an attribute for the following noun (N+1) (translated to English e.g., "The sick writer had a cold (N) nose (N+1) ..."). The sentences in the control condition were built analogously, but word N was purposefully altered (keeping word length and frequency constant) to make its interpretation as a noun extremely unlikely (e.g., "The sick writer had a blue (N) nose (N+1) ..."). In both conditions, the sentences were presented either following German standard orthography (Cap) or in lowercase spelling (NoCap). The capitalized nouns in the EXP/Cap condition should then prevent garden-path parsing, as capital letters can be recognized parafoveally. However, in the EXP/NoCap condition, we expected a garden-path effect on word N+1 affecting first-pass fixations and the number of regressions, as the reader realizes that word N is instead an adjective. As the control condition does not include a garden-path, we expected to find (small) effects of the violation of the orthographic rule in the CON/NoCap condition, but no garden-path effect. As a global result, it can be stated that reading sentences in which nouns are not marked by a majuscule slows a native German reader down significantly, but from an absolute point of view, the effect is small. Compared with other manipulations (e.g., transpositions or substitutions), a lowercase letter still represents the correct allograph in the correct position without affecting phonology. Furthermore, most German readers do have experience with other alphabetic writing systems that lack consistent noun capitalization, and in (private) digital communication lowercase nouns are quite common. Although our garden-path sentences did not show the desired effect, we found an indication of grammatical pre-processing enabled by the majuscule in the regularly spelled sentences: In the case of high noun frequency, we post hoc located parafovea-on-fovea effects, i.e., longer fixation durations, on the attributive adjective (word N). These benefits of capitalization could only be detected under specific circumstances. In other cases, we conclude that longer reading durations are mainly the result of disturbance in readers' habituation when the expected capitalization is missing.
The aim of educational policy should be to provide a good education to all students. Thus, a key question arises regarding the extent to which key characteristics of school composition (proportion of students with migration background, socioeconomic status [SES], prior school achievement, and achievement heterogeneity), instructional quality, school quality, and later school achievement are interrelated. The present study addressed this research question by examining school inspection data, official school statistics, and large-scale achievement data from all primary schools in Berlin, Germany (N = 343). The results of correlation and path analyses showed that school composition (average SES, average prior school achievement) predicted components of instructional quality (SES: classroom management, cognitive activation; achievement: cognitive activation, individual learning support). The relation between school composition characteristics and most components of school quality was close to zero. Contrary to our expectations, only the effect of school SES on later achievement was mediated by instructional quality.