multilevel

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tandfonline.com – Multilevel Design Parameters to Plan Cluster-Randomized Intervention Studies on Student Achievement in Elementary and Secondary School

Posted on by Troels Gannerup Christensen - Læst 29 gange

tandfonline.com har udgivet en rapport under søgningen “Teacher Education Mathematics”: Abstract Formulae display:?Mathematical formulae have been encoded as MathML and are displayed in this HTML version using MathJax in order to improve their display. Uncheck the box to turn MathJax off. This feature requires Javascript. Click on a formula to zoom. Abstract To plan cluster-randomized trials with sufficient statistical power to detect intervention effects on student achievement, researchers need multilevel design parameters, including measures of between-classroom and between-school differences and the amounts of variance explained by covariates at the student, classroom, and school level. Previous research has mostly been conducted in the United States, focused on two-level designs, and limited to core achievement domains (i.e., mathematics, science, reading). Using representative data of students attending grades 1–12 from three German longitudinal… Continue Reading →

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tandfonline.com – The contribution of Multilevel Structural Equation Modelling to contemporary trends in educational research

Posted on by Troels Gannerup Christensen - Læst 31 gange

tandfonline.com har udgivet en rapport under søgningen “Teacher Education Mathematics”: Link til kilde

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tandfonline.com – Using Multilevel Mixture Models in Educational Research: An Illustration with Homework Research

Posted on by Troels Gannerup Christensen - Læst 13 gange

tandfonline.com har udgivet en rapport under søgningen “Teacher Education Mathematics”: Abstract Formulae display:?Mathematical formulae have been encoded as MathML and are displayed in this HTML version using MathJax in order to improve their display. Uncheck the box to turn MathJax off. This feature requires Javascript. Click on a formula to zoom. Abstract The present study illustrates the utility of applying multilevel mixture models in educational research, using data on the homework behavior of 1,812 Swiss eighth-grade students in French as a second language. A previous person-centered study identified 5 homework learning types characterized by different patterns of high or low homework time and effort. Via multilevel latent profile analyses (MLPAs), the dependence of homework learning types on between-classroom differences was investigated. Based on the proportions of homework learning profiles across… Continue Reading →

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tandfonline.com – Teacher Stress and Students’ School Well-being: the Case of Upper Secondary Schools in Stockholm

Posted on by Troels Gannerup Christensen - Læst 15 gange

tandfonline.com har udgivet en rapport under søgningen “Teacher Education Mathematics”: ABSTRACT ABSTRACT Stress and stress-related complaints such as fatigue and depressed mood are common among teachers. Yet, knowledge about the links between the overall level of teacher stress within a school and individual student outcomes is scarce. This study investigates if the levels of teacher-reported stress, fatigue and depressed mood within a school are associated with students’ ratings of their school satisfaction and perceived teacher caring, respectively. Data derives from two separate data collections performed in upper secondary schools in 2016, the Stockholm School Survey (SSS) and the Stockholm Teacher Survey (STS), which were linked together (5367 students and 1045 teachers in 46 schools). Two-level linear regression analyses were performed. Results showed negative associations between school-level teacher stress, fatigue, and… Continue Reading →

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Eric.ed.gov – A Multilevel Analysis of the Impact of Teachers’ Beliefs and Mathematical Knowledge for Teaching on Students’ Mathematics Achievement

Posted on by Troels Gannerup Christensen - Læst 46 gange

eric.ed.gov har udgivet: Teachers’ content knowledge and beliefs about teaching and learning are among the key factors for effective teaching and, in turn, for student achievement-related outcomes. This study explores the extent to which K-8 math teachers’–who teach in high-poverty urban schools–professional background, motivational beliefs, and mathematical knowledge for teaching (MKT) have an impact on students’ math achievement. Hierarchical linear modeling (HLM) results indicated that although students’ prior mathematics achievement was the most determining factor of their subsequent math achievement, teachers’ MKT and holding a bachelor’s degree in mathematics had significant positive effects on students’ math achievement. Results provide support for professional development (PD) to focus on improving mathematics teachers’ mathematical knowledge for teaching. Results may also have implications for education policies at both the district and state level for… Continue Reading →

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tandfonline.com – Assessment of Multiple Membership Multilevel Models: An Application to Interviewer Effects on Nonresponse

Posted on by Troels Gannerup Christensen - Læst 19 gange

tandfonline.com har udgivet en rapport under søgningen “Teacher Education Mathematics”: Assessment of Multiple Membership Multilevel Models: An Application to Interviewer Effects on Nonresponse Link til kilde

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tandfonline.com – Multilevel process monitoring: A case study to predict student success or failure

Posted on by Troels Gannerup Christensen - Læst 51 gange

tandfonline.com har udgivet en rapport under søgningen “Teacher Education Mathematics”: Abstract Formulae display:?Mathematical formulae have been encoded as MathML and are displayed in this HTML version using MathJax in order to improve their display. Uncheck the box to turn MathJax off. This feature requires Javascript. Click on a formula to zoom. Abstract In this case study, we demonstrate the use of multilevel process monitoring in quality control. Using high school data, we answer three research questions related to high school student progress during an academic year. The questions are (1) What determines student performance? (2) How can statistical process monitoring be used in monitoring student progress? (3) What method can be used for predictive monitoring of student results? To answer these questions, we worked together with a Dutch high school… Continue Reading →