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Stallasch, Sophie E.; Lüdtke, Oliver; Artelt, Cordula; Brunner, Martin – Journal of Research on Educational Effectiveness, 2021
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…
Descriptors: Foreign Countries, Randomized Controlled Trials, Intervention, Educational Research
Sciffer, Michael G.; Perry, Laura B.; McConney, Andrew – British Journal of Sociology of Education, 2020
School socio-economic compositional (SEC) effects have been influential in educational research predicting a range of outcomes and influencing public policy. However, some recent studies have challenged the veracity of SEC effects when applying residualised-change and fixed effects models and simulating potential measurement errors in hierarchical…
Descriptors: School Demography, Socioeconomic Status, Socioeconomic Influences, Context Effect
Chalmers, R. Philip; Counsell, Alyssa; Flora, David B. – Educational and Psychological Measurement, 2016
Differential test functioning, or DTF, occurs when one or more items in a test demonstrate differential item functioning (DIF) and the aggregate of these effects are witnessed at the test level. In many applications, DTF can be more important than DIF when the overall effects of DIF at the test level can be quantified. However, optimal statistical…
Descriptors: Test Bias, Sampling, Test Items, Statistical Analysis
Johnson, Matthew D.; Galambos, Nancy L.; Finn, Christine; Neyer, Franz J.; Horne, Rebecca M. – Developmental Psychology, 2017
Guided by concepts from a relational developmental perspective, this study examined intra- and interpersonal associations between self-esteem and depressive symptoms in a sample of 1,407 couples surveyed annually across 6 years in the Panel Analysis of Intimate Relations and Family Dynamics (pairfam) study. Autoregressive cross-lagged model…
Descriptors: Self Esteem, Depression (Psychology), Symptoms (Individual Disorders), Interpersonal Relationship
Boll, Christina; Leppin, Julian Sebastian; Schömann, Klaus – Education Economics, 2016
Overeducation potentially signals a productivity loss. With Socio-Economic Panel data from 1984 to 2011 we identify drivers of educational mismatch for East and West medium and highly educated Germans. Addressing measurement error, state dependence and unobserved heterogeneity, we run dynamic mixed multinomial logit models for three different…
Descriptors: Productivity, Error of Measurement, Educational Attainment, Unemployment
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
Hu, Bi Ying; Fan, Xitao; Gu, Chuanhua; Yang, Ning – Early Education and Development, 2016
Research Findings: This study examined the applicability of the Classroom Assessment Scoring System (CLASS) Pre-K (Pianta, La Paro, & Hamre, 2008) and its underpinning framework of teaching through interactions in typical Chinese kindergarten classrooms. A sample of 180 kindergarten classrooms in China was selected, and the CLASS was used to…
Descriptors: Foreign Countries, Rating Scales, Kindergarten, Teacher Student Relationship
Beauducel, Andre – Applied Psychological Measurement, 2013
The problem of factor score indeterminacy implies that the factor and the error scores cannot be completely disentangled in the factor model. It is therefore proposed to compute Harman's factor score predictor that contains an additive combination of factor and error variance. This additive combination is discussed in the framework of classical…
Descriptors: Factor Analysis, Predictor Variables, Reliability, Error of Measurement
Mayer, Axel; Steyer, Rolf; Mueller, Horst – Structural Equation Modeling: A Multidisciplinary Journal, 2012
We present a 3-step approach to defining latent growth components. In the first step, a measurement model with at least 2 indicators for each time point is formulated to identify measurement error variances and obtain latent variables that are purged from measurement error. In the second step, we use contrast matrices to define the latent growth…
Descriptors: Statistical Analysis, Measurement, Structural Equation Models, Error of Measurement
Stubbe, Tobias C. – Educational Research and Evaluation, 2011
The challenge inherent in cross-national research of providing instruments in different languages measuring the same construct is well known. But even instruments in a single language may be biased towards certain countries or regions due to local linguistic specificities. Consequently, it may be appropriate to use different versions of an…
Descriptors: Test Items, International Studies, Foreign Countries, German