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Gummer, Tobias; Roßmann, Joss; Silber, Henning – Sociological Methods & Research, 2021
Identifying inattentive respondents in self-administered surveys is a challenging goal for survey researchers. Instructed response items (IRIs) provide a measure for inattentiveness in grid questions that is easy to implement. The present article adds to the sparse research on the use and implementation of attention checks by addressing three…
Descriptors: Online Surveys, Attention, Response Style (Tests), Context Effect
Victoria, Konidari – Education Inquiry, 2021
This paper argues that the consideration of educational disadvantage should go beyond the micro-scale contextual level of individual students, and explore eventual connections with hybrid forms of disadvantage in the social field. The paper draws on the capability approach and the concept of dwelling to introduce dwelling in time as functioning.…
Descriptors: Educationally Disadvantaged, Vocational Education, Adolescents, Secondary School Students
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
Wang, Ze – Educational Psychology, 2015
Using data from the Trends in International Mathematics and Science Study (TIMSS) 2007, this study examined the big-fish-little-pond-effects (BFLPEs) in 49 countries. In this study, the effect of math ability on math self-concept was decomposed into a within- and a between-level components using implicit mean centring and the complex data…
Descriptors: Nonverbal Ability, Mathematics, Self Concept, Hierarchical Linear Modeling
"Maybe I'm Not as Good as I Think I Am." How Qualification Users Interpret Their Examination Results
Chamberlain, Suzanne – Educational Research, 2012
Background: Assessment grades are "estimates" of ability or performance and there are many reasons why an awarded grade might not meet a candidate's expectations, being either better or poorer than anticipated. Although there may be some obvious reasons for grade discrepancies, such as a lack of preparation or under-performance, there…
Descriptors: Foreign Countries, Outcome Measures, Evaluation Criteria, Scores
Yang, Ji Seung – ProQuest LLC, 2012
Nonlinear multilevel latent variable modeling has been suggested as an alternative to traditional hierarchical linear modeling to more properly handle measurement error and sampling error issues in contextual effects modeling. However, a nonlinear multilevel latent variable model requires significant computational effort because the estimation…
Descriptors: Hierarchical Linear Modeling, Computation, Maximum Likelihood Statistics, Mathematics
Marsh, Herbert W.; Ludtke, Oliver; Nagengast, Benjamin; Trautwein, Ulrich; Morin, Alexandre J. S.; Abduljabbar, Adel S.; Koller, Olaf – Educational Psychologist, 2012
Classroom context and climate are inherently classroom-level (L2) constructs, but applied researchers sometimes--inappropriately--represent them by student-level (L1) responses in single-level models rather than more appropriate multilevel models. Here we focus on important conceptual issues (distinctions between climate and contextual variables;…
Descriptors: Foreign Countries, Classroom Environment, Educational Research, Research Design
Marsh, Herbert W.; Ludtke, Oliver; Robitzsch, Alexander; Trautwein, Ulrich; Asparouhov, Tihomir; Muthen, Bengt; Nagengast, Benjamin – Multivariate Behavioral Research, 2009
This article is a methodological-substantive synergy. Methodologically, we demonstrate latent-variable contextual models that integrate structural equation models (with multiple indicators) and multilevel models. These models simultaneously control for and unconfound measurement error due to sampling of items at the individual (L1) and group (L2)…
Descriptors: Educational Environment, Context Effect, Models, Structural Equation Models