The Advanced Quantitative Research in Education Thematic Hub builds interdisciplinary connections and creates grounds for cross-fertilisation among researchers using advanced quantitative methods in policy-relevant topics. This is a space where academics with quantitative methods expertise and an interest in education issues come together to discuss their research; find support in addressing data, methodological and conceptual challenges; and develop collaborative and inter-disciplinary work on topics relevant to policy and practice. The Hub is open to researchers using mixed methods and from different substantive research areas. Research Image Our members' research interests span many areas, including:social inequalities in education and the labour marketsocial mobilityschool-to-work transitionscomparative education and international developmentteacher educationhigher educationresearch on children and youthOur methodological expertise includes: the analysis of data from complex survey designs and linked administrative sourceslongitudinal data analysismultilevel modellingquasi-experimental approaches such as inverse probability weightingpropensity score matchingregression discontinuitylatent variable modelling techniqueslog-linear modelling Postgraduate researchSee what research students in our Hub are working on, and find information about applying for a PGR programme at Moray House School of Education and Sport.Research students in our HubFind out about our current students' research on our 'Members' pageApplying to study with usFind information about our programmes, finding a supervisor, writing a research proposal and applying for PGR study at Moray House School of Education and Sport. Learn more about applying for postgraduate research AQRiE members AQRiE's members and PhD students. AQRiE events Find out about our upcoming events. Centres, Groups and NetworksCentre for StatisticsThe Centre for Statistics unites data-driven researchers from across the University of Edinburgh and Associated Institutions, building the capacity needed to address key scientific and societal challenges.Centre for StatisticsComparative Education and International Development (CEID) Research GroupCEID serves as a hub for critical reflection on and evaluation of education's direct and indirect potential by exploring its complex, interdependent relationship with social and political contexts. About CEIDData for Children Collaborative with UNICEFThis partnership between UNICEF, The Scottish Government and the University of Edinburgh’s Data Driven Innovation Programme seeks to improve outcomes for children locally, nationally and globally. We draw on the strengths of all partners to bring insight and solve problems using data and data science techniques.Data for Children Collaborative with UNICEFEdinburgh Centre for Data, Culture & Society (CDCS)The Edinburgh Centre for Data, Culture & Society (CDCS) provides a locus for data-driven and digitally engaged research across the disciplines and forms the foundation of an open and inclusive community in which such research can grow and thrive.Edinburgh Centre for Data, Culture and Society (CDCS)Edinburgh Q-STEP CentreOur mission at Edinburgh Q-Step Centre is to equip students with the quantitative skills needed in tomorrow’s social scientists.Q-STEPResearch-led Teacher Education Network (RTEN)RTEN is an interdisciplinary network for dialogue and collaboration in research on teachers, teaching and teacher education.Research-led Teacher Education Network (RTEN)Research Training CentreAt the Research Training Centre, we apply expertise in a diverse set of social science methods through teaching and research to contribute new insights to the key challenges in society.Research Training CentreUnderstanding InequalitiesUnderstanding Inequalities (UI) is an innovative and ambitious programme of interdisciplinary research funded by the Economic and Social Research Council (ESRC) which provides robust evidence to inform and develop new policy solutions to tackle multiple forms of inequality.Understanding InequalitiesGet in touchEmail usFollow us on X @AQRiE_HubRead our privacy policy This article was published on 2024-10-07
