A5039613723- Mental Health Research Topics
- Student Assessment and Feedback
- Systemic Sclerosis and Related Diseases
- Health and Medical Studies
- Topic Modeling
- Intellectual Capital and Performance Analysis
- Psychometric Methodologies and Testing
- Grit, Self-Efficacy, and Motivation
- Natural Language Processing Techniques
- Text Readability and Simplification
- Inflammatory Myopathies and Dermatomyositis
- Educational Strategies and Epistemologies
- Computational Physics and Python Applications
- Advanced Statistical Modeling Techniques
- Dermatology and Skin Diseases
- Educational and Psychological Assessments
- Behavioral Health and Interventions
- Psychological and Educational Research Studies
- Clinical practice guidelines implementation
- Social and Intergroup Psychology
- Shoulder Injury and Treatment
- Cognitive Abilities and Testing
- Statistical Methods and Bayesian Inference
- Kidney Stones and Urolithiasis Treatments
- Musculoskeletal Disorders and Rehabilitation
Kiel University
2022-2024
University of Tübingen
2022
Schön Klinik Hamburg Eilbek
2020
Krankenhaus Dresden-Friedrichstadt
2008
Abstract: Past research has shown that the socioeconomic status (e.g., income or education) is associated with people’s self-evaluation, such as global self-esteem. In present research, we argue also affects belief of possessing same rights others (i.e., self-respect). a cross-sectional study ( N = 298) and longitudinal 379), investigated relationships between education three forms self-regard. The only consistent finding was related to self-respect over time even when controlling for...
Abstract One major challenge of longitudinal data analysis is to find an appropriate statistical model that corresponds the theory change and research questions at hand. In present article, we argue continuous-time models are well suited study continuously developing constructs primary interest in education sciences outline key advantages using this type model. Furthermore, propose latent curve with structured residuals (CT-LCM-SR) as a suitable for many sciences. The CT-LCM-SR combines...
Content and Language Integrated Learning (CLIL) is considered a promising approach to enhancing foreign language skills motivation. However, its impact on students' academic self-concepts remains largely unclear. This study aimed investigate whether CLIL positively affects English but harms their math in Grade 8 after two years of participation. Furthermore, the intended control for disentangle selection preparation effects caused by selective access increased instruction before start CLIL,...
Argumentative writing in English as a foreign language (EFL) is an important skill upper secondary education Germany and Switzerland. This article provides insights into students' EFL skills the aspects of quality, content, structure (N = 2314 TOEFL argumentative essays from two time-points, beginning end Year 11). These were analyzed by trained human raters using analytic assessment rubrics for each aspect evaluated cross-sectional well longitudinal perspective. Results show that there...
The recently proposed continuous-time latent curve model with structured residuals (CT-LCM-SR) addresses several challenges associated longitudinal data analysis in the behavioral sciences. First, it provides information about process trends and dynamics. Second, using framework, CT-LCM-SR can handle unequally spaced measurement occasions describes processes independently of length time intervals used a given study. Third, is hierarchical model. Thus, multiple subjects be analyzed...
Croon and van Veldhoven discussed a model for analyzing micro–macro multilevel designs in which variable measured at the upper level is predicted by an explanatory that lower level. Additionally, authors proposed approach estimating this model. In their approach, estimation carried out running regression analysis on Bayesian Expected Posterior (EAP) estimates. article, we present extension of to interaction quadratic effects variables. Specifically, define EAPs, discuss way them, show how...
<title>Abstract</title> Recent investigations in automated essay scoring research imply that hybrid models, which combine feature engineering and the powerful tools of deep neural networks (DNNs), reach state-of-the-art performance. However, most these findings are from holistic tasks. In present study, we use a total four prompts two different corpora consisting both L1 L2 learner essays annotated with three trait scores (e.g., content, organization language quality). our main experiments,...
The present study applies experience sampling methods to examine the state-level reciprocal relationship between academic self-concept and lesson-specific perceived learning achievement in verbal domain. data analyzed stems from a sample of N = 372 students six track schools Germany. Participants reported their state self-concepts achievements after each German lesson over period three weeks. To investigate longitudinal dynamics, we applied hierarchical continuous-time dynamic modeling,...
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Abstract Recent investigations in automated essay scoring research imply that hybrid models, which combine feature engineering and the powerful tools of deep neural networks (DNNs), reach state-of-the-art performance. However, most these findings are from holistic tasks. In present study, we use a total four prompts two different corpora consisting both L1 L2 learner essays annotated with trait scores (e.g., content, organization, language quality). our main experiments, compare three...
The assessment of individual students is not only crucial in the school setting but also at core educational research. Although classical test theory focuses on maximizing insights from student responses, Bayesian perspective incorporates assessor's prior belief, thereby enriching with knowledge gained previous interactions or similar students. We propose and illustrate a formal approach that allows to form stronger belief about student's competency offers more accurate than theory. In...
This paper introduces Dynamic Intellectual Investment Trait and State Theory, an extension of Theory. Our theory (a) centers on dynamic within-person effects cognitive performance states intellectual investment personality vice versa (i.e., reciprocal effects), (b) integrates dynamics developmental trajectories in abilities traits, (c) is embedded a continuous-time modeling framework. Aligning theories with statistical models, we discuss the most appropriate model for testing Theory: that...
Zusammenfassung Einleitung Infiltrationen der Facettengelenke HWS und LWS als auch Iliosakralgelenke sind weltweit verbreitet lang etabliert. Techniken, basierend auf röntgengestützter sonografischer Bildgebung, stellen den Standard dar. Bez. Indikationsstellung Ergebnisse die diagnostischen von therapeutischen Indikationen klar zu unterscheiden. Diagnostische Die kommen im Rahmen einer funktionellen Diagnostik zum Einsatz, um eine arthrogene Schmerzursache sichern. Hier Ramus medialis...
Referat zur Arbeit von Maddali Bong S, Del Rosso A, Passalacqua M, Miccio Matucci Cerinic M. Manual Lymph Drainage Improving Upper Extremity Edema and Hand Function in Patients With Systemic Sclerosis Edematous. Arthritis Care & Research 2011, 63 ( 8) 1134–1141
This paper introduces Dynamic Intellectual Investment Trait and State Theory, which (a) centers on dynamic within-person reciprocal relationships between cognitive performance states intellectual investment personality states, (b) integrates dynamics developmental trajectories in abilities traits, (c) is embedded a continuous-time framework. Aligning theories with statistical models, we discuss the most appropriate model for testing Theory: growth curve that combines trends. We apply an...