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Rew, W. Joshua; Andon, Anabelle; Luschei, Thomas F. – Large-scale Assessments in Education, 2022
Background: We examine the sensitivity of the Heyneman-Loxley Effect to the influence of an error-prone family background measure in 15 education systems from Southern and Eastern Africa. Our aim is to revisit a claim by Abby Riddell from the November 1989 issue of the "Comparative Education Review" concerning the reliability of family…
Descriptors: Foreign Countries, Family Characteristics, Background, Academic Achievement
Sciffer, Michael G.; Perry, Laura B.; McConney, Andrew – Large-scale Assessments in Education, 2022
This study examines the effect of school socioeconomic composition on student achievement growth in Australian schooling, and its relationship with academic composition utilising the National Assessment Program--Literacy and Numeracy (NAPLAN) dataset. Previous research has found that school composition predicts a range of schooling outcomes. A…
Descriptors: Socioeconomic Influences, Foreign Countries, Error of Measurement, Literacy
Wang, Ze – Large-scale Assessments in Education, 2022
In educational and psychological research, it is common to use latent factors to represent constructs and then to examine covariate effects on these latent factors. Using empirical data, this study applied three approaches to covariate effects on latent factors: the multiple-indicator multiple-cause (MIMIC) approach, multiple group confirmatory…
Descriptors: Comparative Analysis, Evaluation Methods, Grade 8, Mathematics Achievement
Rohm, Theresa; Carstensen, Claus H.; Fischer, Luise; Gnambs, Timo – Large-scale Assessments in Education, 2021
Background: After elementary school, students in Germany are separated into different school tracks (i.e., school types) with the aim of creating homogeneous student groups in secondary school. Consequently, the development of students' reading achievement diverges across school types. Findings on this achievement gap have been criticized as…
Descriptors: Achievement Gap, Reading Achievement, Test Bias, Error of Measurement
Hampf, Franziska; Wiederhold, Simon; Woessmann, Ludger – Large-scale Assessments in Education, 2017
Ample evidence indicates that a person's human capital is important for success on the labor market in terms of both wages and employment prospects. However, unlike the efforts to identify the impact of school attainment on labor-market outcomes, the literature on returns to cognitive skills has not yet provided convincing evidence that the…
Descriptors: Outcomes of Education, Human Capital, Labor Market, Income
Who Likes to Learn New Things: Measuring Adult Motivation to Learn with PIAAC Data from 21 Countries
Gorges, Julia; Maehler, Débora B.; Koch, Tobias; Offerhaus, Judith – Large-scale Assessments in Education, 2016
Background: Despite the importance of lifelong learning as a key to individual and societal prosperity, we know little about adult motivation to engage in learning across the lifespan. Building on educational psychological approaches, this article presents a measure of Motivation-to-Learn using four items from the background questionnaire of the…
Descriptors: Adult Learning, Learning Motivation, Factor Analysis, Questionnaires
Rosén, Monica; Gustafsson, Jan-Eric – Large-scale Assessments in Education, 2016
Research on effects of home computer use on children's development of cognitive abilities and skills has yielded conflicting results, with some studies showing positive effects, others no effects, and yet others negative effects. These studies have typically used non-experimental designs and one of the main reasons for the conflicting results is…
Descriptors: Measurement, International Assessment, Grade 4, Longitudinal Studies
Svetina, Dubravka; Rutkowski, Leslie – Large-scale Assessments in Education, 2014
Background: When studying student performance across different countries or cultures, an important aspect for comparisons is that of score comparability. In other words, it is imperative that the latent variable (i.e., construct of interest) is understood and measured equivalently across all participating groups or countries, if our inferences…
Descriptors: Test Items, Item Response Theory, Item Analysis, Regression (Statistics)
Bouhlila, Donia Smaali; Sellaouti, Fethi – Large-scale Assessments in Education, 2013
In this paper, we document a study that involved applying a multiple imputation technique with chained equations to data drawn from the 2007 iteration of the TIMSS database. More precisely, we imputed missing variables contained in the student background datafile for Tunisia (one of the TIMSS 2007 participating countries), by using Van Buuren,…
Descriptors: Databases, Student Characteristics, Error of Measurement, Intervals