Colleges have increasingly turned to predictive analytics to target at-risk students for additional support. Most of the predictive analytic applications in higher education are proprietary, with private companies offering little transparency about their underlying models. We address this lack of transparency by systematically comparing two…

In psychological and survey research, the prevalence and serious consequences of careless responses from unmotivated participants are well known. In this study, we propose to iteratively detect careless responders and cleanse the data by removing their responses. The careless responders are detected using person-fit statistics. In two simulation…

More aggregate data on school performance is available than ever before, opening up new possibilities for applied researchers interested in assessing the effectiveness of school-level interventions quickly and at a relatively low cost by implementing comparative interrupted times series (CITS) designs. We examine the extent to which effect…

Arguably one of the most valuable tools for investigating pupil behaviour in an educational environment is systematic classroom observation. Classroom observation is often cited as having the potential to enable research of the learning process in action. Low inference classroom observation instruments are designed to record a sequence of data…

The Education Endowment Foundation (EEF)'s mission is to break the link between family income and educational achievement. This is achieved through summarising the best available evidence in plain language, generating new evidence of 'what works' to improve teaching and learning, and supporting teachers and school leaders to use research evidence…

Launching biomedical innovations based on clinical demands instead of translating basic research findings to practice reduces the risk that the results will not fit the clinical routine. To realize this type of innovation, a meta-analysis of the body of research is necessary to reveal demand-matching concepts. However, both the data deluge and the…

Mixed methods surveys using multilingual assistants in areas without clear pre-defined sampling units are often difficult to manage and unpredictable, thereby threatening data quality. More so when such surveys are executed in unfamiliar territories where cultural and language barriers prevent direct communication between the principal researcher…

The aim of this research is to analyze dissertations on organizational trust conducted from 2000 to 2018 in Turkey comprehensively and from a holistic point of view and reveal similarities and differences between these studies. In the study, descriptive content analysis method was used. The data source of this study was dissertations on…

The present study aimed to review the articles published in Turkey on electronic books. In the study, descriptive content analysis method was employed. In the study, national databases such as UlakbimUVT, Asos Index, Turkish Education Index (TEI) and international databases such as ERIC, DOAJ, EBSCO, Google Scholar and past issues of educational…

The present study aims to examine the graduate studies related to in-service training programs for teachers conducted between the years 2000 and 2018 in Turkey. In this context, the content analysis of 88 graduate studies, including 71 master thesis and 17 dissertations, was conducted for the in-service teacher training accessible to the Council…

This technical appendix provides additional information about the sample, data, and estimation strategy that were used for a series of AEP Data Notes published by the RAND Corporation in 2018 and 2019. The Data Note series is intended to provide brief, incisive analyses of teacher and school leader survey results which may be of immediate interest…

This study examines the tendencies in Turkey-based scientific articles related to distance education during the COVID-19 pandemic. In this qualitative study, content analysis and categorical analysis were used. The population of the study is comprised of Turkey-based academic studies on distance education while the sample consists of 125…

Trends in International Mathematics and Science Study (TIMSS) is an international comparative study designed to measure trends in mathematics and science achievement at grades 4 and 8, as well as to collect information about educational contexts (such as students' schools, teachers, and homes) that may be related to student achievement. TIMSS has…

IEA's International Computer and Information Literacy Study (ICILS) 2018 is designed to assess how well students are prepared for study, work, and life in a digital world. The study measures international differences in students' computer and information literacy (CIL): their ability to use computers to investigate, create, participate, and…

The article outlines a methodology for systematically observing collective violence (and public order policing in relation to it). Specific attention is given to matters of sampling and measurement and to the way in which observational challenges have been met in comparison with participant observational studies of demonstrations and football…