Journal ArticleDOI
Socioeconomic and language minority classroom composition and individual reading achievement: The mediating role of instructional quality
Reads0
Chats0
TLDR
The authors investigated the effect of socioeconomic and language minority classroom composition on students' reading achievement and explored the mediating role of central features of instructional quality, namely focus on language, student-oriented climate, and structured classroom management.About:
This article is published in Learning and Instruction.The article was published on 2014-08-01. It has received 77 citations till now. The article focuses on the topics: Classroom management & Reading (process).read more
Citations
More filters
Journal ArticleDOI
Teachers’ emotional exhaustion is negatively related to students’ achievement: Evidence from a large-scale assessment study.
TL;DR: In this article, the authors examined the association between teachers' emotional exhaustion and students' achievement in mathematics, and by testing whether classroom composition moderates this relation, they found that emotional exhaustion was significantly negatively related to students' mathematics achievement, even after teacher characteristics and classroom composition were controlled for.
Journal ArticleDOI
The Social Pipeline: How Friend Influence and Peer Exposure Widen the STEM Gender Gap
TL;DR: The authors found that if girls develop weaker preferences for science, technology, engineering, and math (STEM), it can predict their educational and occupational careers, even if they attended the same school as boys.
Journal ArticleDOI
School characteristics moderating the relation between student socio-economic status and mathematics achievement in grade 8. Evidence from 50 countries in TIMSS 2011
TL;DR: In this paper, two-level random slopes models were used to investigate the influence of quality and quantity of instruction, school climate, and school SES on the within-school regression slope for achievement on SES.
Posted ContentDOI
Teaching and Learning International Survey (TALIS) 2018 Conceptual Framework
John Ainley,Ralph Carstens +1 more
TL;DR: The Teaching and Learning International Survey (TALIS) is an ongoing large-scale survey of teachers, school leaders and their learning environments, with the first survey taking place in 2008.
Journal ArticleDOI
CLIL for all? A randomised controlled field experiment with sixth-grade students on the effects of content and language integrated science learning
TL;DR: In this paper, a randomised controlled field experiment on the effects of content and language integrated learning (CLIL) on students' science learning is presented, where 30 sixth-grade intermediate-track German secondary-school classes (722 students) were randomly assigned to learn (5 lessons, 90 min each) a physics topic taught either in German or in English and German.
References
More filters
Book
Hierarchical Linear Models: Applications and Data Analysis Methods
TL;DR: The Logic of Hierarchical Linear Models (LMLM) as discussed by the authors is a general framework for estimating and hypothesis testing for hierarchical linear models, and it has been used in many applications.
Journal ArticleDOI
Hierarchical Linear Models: Applications and Data Analysis Methods.
TL;DR: This chapter discusses Hierarchical Linear Models in Applications, Applications in Organizational Research, and Applications in the Study of Individual Change Applications in Meta-Analysis and Other Cases Where Level-1 Variances are Known.
Book
Multiple imputation for nonresponse in surveys
TL;DR: In this article, a survey of drinking behavior among men of retirement age was conducted and the results showed that the majority of the participants reported that they did not receive any benefits from the Social Security Administration.
Journal ArticleDOI
Evaluating Goodness-of-Fit Indexes for Testing Measurement Invariance
TL;DR: In this paper, the authors examined the change in the goodness-of-fit index (GFI) when cross-group constraints are imposed on a measurement model and found that the change was independent of both model complexity and sample size.
Journal ArticleDOI
Multiple Imputation for Nonresponse in Surveys.
C. D. Kershaw,Donald B. Rubin +1 more
TL;DR: This work focuses on the development of Imputation Models for Social Security Benefit Reconciliation in the context of a Finite Population and examines the role of Bayesian and Randomization--Based Inferences in these models.
Related Papers (5)
Teaching Effectiveness Research in the Past Decade: The Role of Theory and Research Design in Disentangling Meta-Analysis Results
Tina Seidel,Richard J. Shavelson +1 more