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Journal ArticleDOI

The effect of peer socioeconomic status on student achievement: A meta-analysis

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TLDR
This article found that the compositional effect that researchers find is strongly related to how they measure SES and to their model choice, and that composition measured at cohort/school level is associated with smaller effects than composition at class level.
About
This article is published in Educational Research Review.The article was published on 2010-01-01. It has received 312 citations till now. The article focuses on the topics: Academic achievement.

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LETTERS to the EDITORPublication bias

P. Sleight, +1 more
Posted ContentDOI

Overeducation and Mismatch in the Labor Market

TL;DR: A survey of the economics literature on overeducation can be found in this article, where the authors discuss measurement and estimation issues and give an overview of the main empirical findings in this literature.
Book ChapterDOI

Overeducation and mismatch in the labor market

TL;DR: In this article, the authors present a survey of the economics literature on overeducation and argue that Duncan and Hoffman's augmented wage equation, in which wages are regressed on years of overschooling, years of required schooling, and years of underschooling is at best loosely related to the original motivation.
Book ChapterDOI

Random Effects Models

TL;DR: A random effect factor is defined as a factor that represents a large set of interest as discussed by the authors, where the levels of the factor represent a larger set of topics of interest than a small subset of topics.
Journal ArticleDOI

Assessment of teacher knowledge across countries: a review of the state of research

TL;DR: An overview of research on the assessment of mathematics teachers' knowledge as one of the most important parameters of the quality of mathematics teaching in school can be found in this paper, where the focus is on comparative and international studies that allow for analyzing the cultural dimensions of teacher knowledge.
References
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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

Practical Meta-Analysis

TL;DR: This paper presents a meta-analysis procedure called “Meta-Analysis Interpretation for Meta-Analysis Selecting, Computing and Coding the Effect Size Statistic and its applications to Data Management Analysis Issues and Strategies.
Book

Equality of Educational Opportunity

TL;DR: In this article, the authors discuss the importance of equity and excellence in education in the context of the 1968 Equalization of EdUCATIONAL OPPORTUNITY (EOW) campaign.
Book

Multilevel Analysis: Techniques and Applications

Joop J. Hox
TL;DR: This work focuses on the development of a single model for Multilevel Regression, which has been shown to provide good predictive power in relation to both the number of cases and the severity of the cases.
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