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Sørensen, Mads P.; Bloch, Carter; Young, Mitchell – European Journal of Higher Education, 2016
In 2013, the European Union (EU) unveiled its new "Composite Indicator for Scientific and Technological Research Excellence." This is not an isolated occurrence; policy-based interest in excellence is growing all over the world. The heightened focus on excellence and, in particular, attempts to define it through quantitative indicators…
Descriptors: Scientific Research, Foreign Countries, Educational Policy, Knowledge Economy
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Cheung, Mike W.-L.; Cheung, Shu Fai – Research Synthesis Methods, 2016
Meta-analytic structural equation modeling (MASEM) combines the techniques of meta-analysis and structural equation modeling for the purpose of synthesizing correlation or covariance matrices and fitting structural equation models on the pooled correlation or covariance matrix. Both fixed-effects and random-effects models can be defined in MASEM.…
Descriptors: Statistical Analysis, Models, Meta Analysis, Structural Equation Models
Kilgus, Stephen P. – Communique, 2016
One of the most common questions asked within school psychology research concerns the relationship between an intervention (independent variable) and an outcome (dependent variable). For example, say a researcher is interested in the effect of a cognitive-behavioral intervention (independent variable) on student depression (dependent variable).…
Descriptors: Statistical Analysis, School Psychology, School Psychologists, Intervention
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Manly, Catherine A.; Wells, Ryan S. – Research in Higher Education, 2015
Higher education researchers using survey data often face decisions about handling missing data. Multiple imputation (MI) is considered by many statisticians to be the most appropriate technique for addressing missing data in many circumstances. In particular, it has been shown to be preferable to listwise deletion, which has historically been a…
Descriptors: Higher Education, Educational Research, Surveys, Data
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Šterba, Radim – Universal Journal of Educational Research, 2018
The paper deals with the analysis of the works of selected pedagogical thinkers in relation to the humanistic pedagogy of C.R. Rogers. The aim of the paper is to identify the components of humanistic pedagogy--Person Centred Education (PCE) in pedagogical theories that were created prior to the PCE. Based on the content analysis, we tried to…
Descriptors: Humanistic Education, Content Analysis, Educational Theories, Empathy
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Vaheoja, Monika; Verhelst, N. D.; Eggen, T.J.H.M. – European Journal of Science and Mathematics Education, 2019
In this article, the authors applied profile analysis to Maths exam data to demonstrate how different exam forms, differing in difficulty and length, can be reported and easily interpreted. The results were presented for different groups of participants and for different institutions in different Maths domains by evaluating the balance. Some…
Descriptors: Feedback (Response), Foreign Countries, Statistical Analysis, Scores
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Henman, Paul; Brown, Scott D.; Dennis, Simon – Australian Universities' Review, 2017
In 2015, the Australian Government's Excellence in Research for Australia (ERA) assessment of research quality declined to rate 1.5 per cent of submissions from universities. The public debate focused on practices of gaming or "coding errors" within university submissions as the reason for this outcome. The issue was about the…
Descriptors: Rating Scales, Foreign Countries, Universities, Achievement Rating
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Vuolo, Mike; Uggen, Christopher; Lageson, Sarah – Sociological Methods & Research, 2016
Given their capacity to identify causal relationships, experimental audit studies have grown increasingly popular in the social sciences. Typically, investigators send fictitious auditors who differ by a key factor (e.g., race) to particular experimental units (e.g., employers) and then compare treatment and control groups on a dichotomous outcome…
Descriptors: Statistical Analysis, Audits (Verification), Social Science Research, Sample Size
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Krarup, Troels; Munk, Martin D. – British Journal of Sociology of Education, 2016
This article argues that there is a double problem in international research in cultural capital and educational attainment: an empirical problem, since few new insights have been gained within recent years; and a theoretical problem, since cultural capital is seen as a simple hypothesis about certain isolated individual resources, disregarding…
Descriptors: Cultural Capital, Educational Attainment, Statistical Analysis, Educational Research
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Markus, Keith A. – Measurement: Interdisciplinary Research and Perspectives, 2016
In their 2016 work, Aguirre-Urreta et al. provided a contribution to the literature on causal measurement models that enhances clarity and stimulates further thinking. Aguirre-Urreta et al. presented a form of statistical identity involving mapping onto the portion of the parameter space involving the nomological net, relationships between the…
Descriptors: Causal Models, Measurement, Criticism, Concept Mapping
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Smirnova, Elena A.; Biktemirova, Ella I.; Davletbaeva, Diana N. – International Journal of Environmental and Science Education, 2016
This paper is devoted to the study of correlation between semantic and pragmatic potential of a compound word, which functions in informal speech, and the mechanisms of secondary nomination, which realizes the potential of semantic-pragmatic features of colloquial compounds. The relevance and the choice of the research question is based on the…
Descriptors: Correlation, Semantics, Pragmatics, Statistical Analysis
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Alexander, Hanan A. – Ethics and Education, 2016
How should we assess programs dedicated to education in virtue? One influential answer draws on quantitative research designs. By measuring the inputs and processes that produce the highest levels of virtue among participants according to some reasonable criterion, in this view, we can determine which programs engender the most desired results.…
Descriptors: Ethics, Moral Values, Moral Development, Statistical Analysis
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Williams, Ross; de Rassenfosse, Gaétan – Studies in Higher Education, 2016
National and international rankings of universities are now an accepted part of the higher education landscape. Rankings aggregate different performance measures into a single scale and therefore depend on the methods and weights used to aggregate. The most common method is to scale each variable relative to the highest performing entity prior to…
Descriptors: Higher Education, Achievement Rating, Outcome Measures, Scaling
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McCoach, D. Betsy; Kenny, David A. – Measurement: Interdisciplinary Research and Perspectives, 2014
In this commentary, Betsy McCoach and David Kenny state they are in general agreement with Bainter and Bollen (this issue) that causal indicators are not inherently unstable. Herein, they outline several similarities and differences between latent variables with reflective and causal indicators. In their examination of the two models, they find…
Descriptors: Causal Models, Statistical Analysis, Measurement
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Conway, Katherine M. – New Directions for Institutional Research, 2014
The author discusses the importance of critical quantitative research for studies of immigrant students, a large and growing group, whose higher education experience is crucial to the future of the United States. The author outlines some of the distinctions to be made among immigrant students and recommends areas of future inquiry.
Descriptors: Immigrants, Higher Education, Statistical Analysis
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