References of "Fischbach, Antoine 50001789"
     in
Bookmark and Share    
Full Text
Peer Reviewed
See detailInequalities in the Luxembourgish Educational System: Effects of Language Proficiency on Math Performance Among Different Generations of Immigrant Students
Krämer, Charlotte UL; Rivas, Salvador UL; Reichel, Yanica UL et al

Poster (2020, November 12)

Research indicates students with immigrant background are disadvantaged in educational systems of the host country (e.g., OECD, 2018). In Luxembourg, roughly half of the school population has an immigrant ... [more ▼]

Research indicates students with immigrant background are disadvantaged in educational systems of the host country (e.g., OECD, 2018). In Luxembourg, roughly half of the school population has an immigrant background (Lenz & Heinz, 2018), and several studies indicate these students are considerably disadvantaged in terms of educational achievement levels (Hadjar et al., 2015, 2018). Lower achievement may be partly due to difficulties related to displacement and settling of 1st generation immigrant students. Second and later generation students may however also experience disadvantages as they speak languages at home that are different from the two main languages of instruction (i.e., German and French), and their parents may be less familiar with the educational system and less able to provide support for their children (Alba & Foner, 2016). This may explain why educational inequalities persist; however little is known about the influence of language proficiency of different generations of immigrant students on their performance in other school subjects. Therefore, our poster focuses on the effect of generation after controlling for the effect of language on math competency. Using data from the Luxembourg School Monitoring Programme (Épreuves Standardisées) for the 2016 cohort of 9th grade students in the two main tracks of secondary school (n=4,339), we conduct regression analysis to investigate to what extent language proficiency in German and French and generational status have an impact on math performance. Data indicates that language proficiency in both German and French explains a significant proportion of variance in math performance. In addition, there is a generation effect, whereby 3rd and later generation immigrant students achieve a higher level of math competency than students of the 1st or 2nd generation. Results will be discussed in terms of social mobility and educational inequality. [less ▲]

Detailed reference viewed: 41 (4 UL)
Peer Reviewed
See detailTackling educational inequalities using school effectiveness measures
Levy, Jessica UL; Mussack, Dominic UL; Brunner, Martin et al

Scientific Conference (2020, November 11)

Detailed reference viewed: 41 (2 UL)
Peer Reviewed
See detailThe development and validation of a short conscientiousness questionnaire for large-scale educational assessment
van der Westhuizen, Lindie UL; Franzen, Patrick UL; Arens, A. Katrin et al

Scientific Conference (2020, July)

Conscientiousness and its subfacets are related to multiple learning-related outcomes. MacCann, Duckworth and Roberts (2009) developed a questionnaire measuring seven subfacets of conscientiousness with ... [more ▼]

Conscientiousness and its subfacets are related to multiple learning-related outcomes. MacCann, Duckworth and Roberts (2009) developed a questionnaire measuring seven subfacets of conscientiousness with 59 items. However, the resources required to complete such long scales often renders it unsuitable for large-scale educational assessment. Consequently, an economic and psychometrically sound conscientiousness questionnaire that is specifically customized for this context is needed. We developed and validated a short version of the MacCann et al. (2009) questionnaire. In study 1, French and German adaptations of the questionnaire were administered to a representative dataset comprising all ninth-graders in Luxembourg (N1=6325, Cohort 2017). Using an exhaustive search algorithm, we identified the optimal combination of four items for each subfacet by simultaneously considering three criteria: goodness of fit, factor saturation, and scalar measurement invariance across the German and French versions. In study 2, we validated our short 28-item questionnaire on a second, independent sample comprising 6,279 Luxembourgish ninth-graders (Cohort 2018). A 7-factor model assuming separate factors for each subfacet obtained acceptable fit (CFI=.93, RMSEA=.04, SRMR=.06). The criterion validity for each subfacet was tested by examining the relation to standardized achievement tests (SATs). In study 3, drawing on a dataset of 275 tenth-graders (linked longitudinally with the ninth-grade data from study 1), evidence of predictive validity (i.e., school grades) was examined. The subfacets of industriousness, caution and perfectionism showed the strongest relations with both SATs (study 2) and school grades (study 3). Our study delivered a short, valid and reliable questionnaire for the assessment of seven conscientiousness facets in the educational context. The scale is invariant across the German and French language versions and its brevity makes it suitable for large-scale educational assessment. [less ▲]

Detailed reference viewed: 128 (15 UL)
Peer Reviewed
See detailDoes Conscientiousness Matter for Academic Success? Considering Different Facets of Conscientiousness and Different Educational Outcomes
Franzen, Patrick UL; van der Westhuizen, Lindie UL; Arens, A. Katrin et al

Poster (2020, April)

Conscientiousness is the strongest BIG-5 predictor of academic success. Both conscientiousness and academic success are broad concepts, consisting of multiple lower level facets. Conscientiousness facets ... [more ▼]

Conscientiousness is the strongest BIG-5 predictor of academic success. Both conscientiousness and academic success are broad concepts, consisting of multiple lower level facets. Conscientiousness facets might display differential relations to different indicators of academic success. To investigate these relations, conscientiousness facets need to be measured in an economic and valid way. We conducted two studies, validating a short conscientiousness scale measuring seven facets of conscientiousness (Industriousness, Task Planning, Perfectionism, Procrastination Refrainment, Tidiness, Control, Cautiousness), and testing the relations of these facets with GPA, test scores, school satisfaction, and engagement. The results supported the validity of the scale. Industriousness, Perfectionism, and Cautiousness revealed the highest relations to academic outcomes. GPA and test scores showed differential associations with the different conscientiousness facets. [less ▲]

Detailed reference viewed: 82 (5 UL)
Peer Reviewed
See detailLangzeiteffekte von Klassenwiederholungen in der Sekundarstufe
Klapproth, Florian; Keller, Ulrich UL; Fischbach, Antoine UL

Scientific Conference (2020, March)

Detailed reference viewed: 22 (2 UL)
Full Text
Peer Reviewed
See detailCircadian preference as a typology: Latent-class analysis of adolescents' morningness/eveningness, relation with sleep behavior, and with academic outcomes
Preckel, Franzis; Fischbach, Antoine UL; Scherrer, Vsevolod et al

in Learning and Individual Differences (2020), 78

Detailed reference viewed: 155 (25 UL)
Full Text
Peer Reviewed
See detailContrasting Classical and Machine Learning Approaches in the Estimation of Value-Added Scores in Large-Scale Educational Data
Levy, Jessica UL; Mussack, Dominic UL; Brunner, Martin et al

in Frontiers in Psychology (2020), 11

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 ... [more ▼]

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. [less ▲]

Detailed reference viewed: 50 (2 UL)
Peer Reviewed
See detailMath and Reading Difficulties in a Multilingual Educational Setting
Martini, Sophie Frédérique UL; Fischbach, Antoine UL; Ugen, Sonja UL

Scientific Conference (2019, November 06)

Detailed reference viewed: 43 (3 UL)
Peer Reviewed
See detailNeed for Cognition across school tracks: The importance of learning environments
Colling, Joanne UL; Wollschläger, Rachel UL; Keller, Ulrich UL et al

Scientific Conference (2019, November 06)

Detailed reference viewed: 70 (7 UL)
See detailDimensional and Social Comparison Effects on Domain-Specific Academic Self-Concepts and Interests with First- and Third-Grade Students
van der Westhuizen, Lindie UL; Arens, Katrin; Keller, Ulrich UL et al

Scientific Conference (2019, November 06)

Academic self-concepts (ASCs) are self-perceptions of one’s own academic abilities. The internal/external frame of reference (I/E) model (Marsh, 1986) explains the formation of domain-specific ASCs ... [more ▼]

Academic self-concepts (ASCs) are self-perceptions of one’s own academic abilities. The internal/external frame of reference (I/E) model (Marsh, 1986) explains the formation of domain-specific ASCs through a combination of social (i.e. comparing one’s achievement in one domain with the achievement of others in the same domain) and dimensional (i.e. comparing one’s achievement in one domain with one’s achievement in another domain) comparisons. This results into positive achievement-self-concept relations within the math and verbal domains, but into negative achievement-self-concept relations across these domains. The generalized internal/external frame of reference (GI/E) model (Möller, Müller-Kalthoff, Helm, Nagy, & Marsh, 2015) extends the I/E model to the formation of other domain-specific academic self-beliefs such as interest. Research on the validity of the (G)I/E model for elementary school children is limited, especially for first-graders. This study examined the associations between verbal and math achievement and corresponding domain-specific self-concepts and interests for first-graders and third-graders. Two fully representative Luxembourgish first-grader cohorts and two fully representative third-graders cohorts (N=21,192) were used. The analyses were based on structural equation modeling. The findings fully supported the (G)I/E model for third-graders: Achievement was positively related to self-concept and interest within matching domains. Negative relations were found between achievement and self-concept and between achievement and interest across domains. For first-graders, achievement was positively related to self-concept and interest within matching domains. However, the majority of cross-domain relations were non-significant, except for the negative path between math achievement and verbal interest. Hence, while the formation of domain-specific ASCs and interests seem to rely on social and dimensional comparisons for third-graders, only social comparisons seem to be in operation for first-graders. Gender and cohort invariance was established for both grade levels. The findings are discussed within the framework of ASC differentiation and dimensional comparison theory applied to elementary school students. [less ▲]

Detailed reference viewed: 92 (6 UL)
Peer Reviewed
See detailSimilarities and differences of value-added scores from models with different covariates: A cluster analysis
Levy, Jessica UL; Brunner, Martin; Keller, Ulrich UL et al

Scientific Conference (2019, November 06)

Detailed reference viewed: 53 (4 UL)
See detailMonitoring du système scolaire – Le modèle luxembourgeois (invited talk)
Fischbach, Antoine UL

Scientific Conference (2019, October 17)

Detailed reference viewed: 49 (6 UL)
Peer Reviewed
See detailEntwicklung und Validierung eines Kurzfragebogens zur Erfassung von sieben Facetten von Gewissenhaftigkeit
Franzen, Patrick UL; Niepel, Christoph UL; Arens, A Katrin et al

Scientific Conference (2019, September)

Die Rolle von Persönlichkeitsvariablen für den Schulerfolg rückt immer stärker in den Fokus wissenschaftlicher Untersuchungen. Insbesondere Gewissenhaftigkeit zeigt eine hohe prädiktive Validität für die ... [more ▼]

Die Rolle von Persönlichkeitsvariablen für den Schulerfolg rückt immer stärker in den Fokus wissenschaftlicher Untersuchungen. Insbesondere Gewissenhaftigkeit zeigt eine hohe prädiktive Validität für die Schulleistung (Poropat, 2009). Zur näheren Untersuchung des Konstrukts der Gewissenhaft haben MacCann, Duckworth und Roberts (2009) einen aus 68 Items bestehenden Fragebogen zur Erfassung von acht verschiedenen Facetten von Gewissenhaftigkeit im Sekundarschulalter entwickelt. Dieser ist jedoch zu umfangreich für die Verwendung in large-scale Studien, die in der pädagogischen Forschung von zunehmender Bedeutung sind. Der vorliegende Beitrag präsentiert daher die Entwicklung und Validierung einer Kurzform eines Fragebogens zur Erfassung von sieben Facetten von Gewissenhaftigkeit. Die Entwicklungsstichprobe umfasste die Schüler aller neunten Klassen in Luxemburg in 2017 (N1 = 6.325). Die Schüler beantworteten deutsche oder französische Adaptionen eines aus 59 Items und sieben Facetten bestehenden Fragebogens zu Gewissenhaftigkeit, der an das Instrument von MacCann et al. angelehnt war. Zur Entwicklung einer Kurzversion wurde ein exhaustive-search Algorithmus verwendet. Dabei sollte für jede Facette von Gewissenhaftigkeit die bestmögliche Kombination aus vier Items ausgewählt werden. Die Selektionskriterien hierfür waren Fit-Statistiken, interne Konsistenz und Messinvarianz zwischen den Sprachversionen. Der resultierende Fragebogen – bestehend aus 28 Items – wurde 2018 den Schülern aller neunten Klassen in Luxemburg vorgelegt (N2 =6.279). Für diese Validierungsstichprobe zeigte ein Modell mit sieben Faktoren von Gewissenhaftigkeit einen guten Fit (CFI = 0.93, RMSEA = 0.04). Alle Facetten hatten sehr gute Reliabilitäten (ɑs > 0.97). Außerdem fanden wir skalare Messinvarianz zwischen den Sprachversionen und zwischen beiden Geschlechtern. Weitere Validierungsschritte und Anwendungsmöglichkeiten dieses Fragebogens im schulischen Kontext werden diskutiert. Literatur MacCann, C., Duckworth, A.L., & Roberts, R.D. (2009). Empirical identification of the major facets of conscientiousness. Learning and Individual Differences, 19, 451–458. Poropat, A.E. (2009). A meta-analysis of the five-factor model of personality and academic performance. Psychological Bulletin, 135, 322–338. [less ▲]

Detailed reference viewed: 190 (12 UL)