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Provasnik, Stephen; Dogan, Enis; Erberber, Ebru; Zheng, Xiaying – National Center for Education Statistics, 2020
Large-scale assessment programs, such as the Trends in International Mathematics and Science Study (TIMSS) and the Progress in International Reading Literacy Study (PIRLS), employ item response theory (IRT) and marginal estimation methods to estimate student proficiency in specific subjects such as mathematics, science, or reading. Each of these…
Descriptors: Student Evaluation, Evaluation Methods, Academic Achievement, Item Response Theory
Klose, Mark; Desai, Vasvi; Song, Yang; Gehringer, Edward – International Educational Data Mining Society, 2020
Imagine a student using an intelligent tutoring system. A researcher records the correctness and time of each of your attempts at solving a math problem, nothing more. With no names, no birth dates, no connections to the school, you would think it impossible to track the answers back to the class. Yet, class sections have been identified with no…
Descriptors: Privacy, Learning Analytics, Data Collection, Information Storage
Comly, Rachel; Fontana, Jason; Shaw-Amoah, Anna – Research for Action, 2020
As many districts in Pennsylvania pivot to hybrid or virtual models of education in response to Covid-19, it is hard to think about what "attendance" means or how to track it. Yet attendance is more important than ever. Students need to stay engaged to continue their learning and to access the myriad supports that districts are offering.…
Descriptors: Attendance, Attendance Patterns, Truancy, Educational Strategies
Sara Oloomi – Program for the International Assessment of Adult Competencies, 2020
This study aims to explore the extent of intergenerational social mobility in the United States for the population as a whole, as well as differentiated by gender and race/ethnicity. Study of intergenerational social mobility is important because it shows whether individuals can prosper in a society regardless of their socioeconomic background, as…
Descriptors: Educational Attainment, Parent Background, Child Development, Outcomes of Education
National Academies Press, 2018
Data science is emerging as a field that is revolutionizing science and industries alike. Work across nearly all domains is becoming more data driven, affecting both the jobs that are available and the skills that are required. As more data and ways of analyzing them become available, more aspects of the economy, society, and daily life will…
Descriptors: Undergraduate Students, Data, Data Analysis, Information Utilization
Office of Inspector General, US Department of Education, 2018
The Office of Inspector General (OIG) works to promote efficiency, effectiveness, and integrity in the programs and operations of the U.S. Department of Education (Department). Through OIG's audits, inspections, investigations, and other reviews, they continue to identify areas of concern within the Department's programs and operations and…
Descriptors: Federal Programs, Educational Finance, Information Security, Audits (Verification)
Furner, Jonathan – Education for Information, 2017
Philosophy of data should not be dismissed as a cluster of scholastic puzzles whose solutions are of limited practical value. On the contrary, philosophy of data should be recognized as constituting the core of a field of data studies that is informed by, but far from equivalent to, statistics, computer science, and library and information studies.
Descriptors: Data, Educational Philosophy, Statistical Studies, Information Science Education
Wuyts, Celine; Loosveldt, Geert – Field Methods, 2017
Previous research shows that interviewers to some extent fail to expend the effort that is needed to collect high-quality survey data. We extend the idea of interviewer satisficing to a related task, in which the interviewers themselves answer survey questions. We hypothesize that interviewers who self-administer the questionnaire in a careless…
Descriptors: Interviews, Questioning Techniques, Data Collection, Surveys
Piccarreta, Raffaella – Sociological Methods & Research, 2017
In its standard formulation, sequence analysis aims at finding typical patterns in a set of life courses represented as sequences. Recently, some proposals have been introduced to jointly analyze sequences defined on different domains (e.g., work career, partnership, and parental histories). We introduce measures to evaluate whether a set of…
Descriptors: Data Analysis, Multivariate Analysis, Social Science Research, Factor Analysis
Soland, James – Research & Practice in Assessment, 2017
Research shows college readiness can be predicted using a variety of measures, including test scores, grades, course-taking patterns, noncognitive instruments, and surveys of how well students understand the college admissions process. However, few studies provide guidance on how educators can prioritize predictors of college readiness across…
Descriptors: College Readiness, Predictor Variables, Data Analysis, Measures (Individuals)
Tarray, Tanveer A.; Singh, Housila P.; Yan, Zaizai – Sociological Methods & Research, 2017
This article addresses the problem of estimating the proportion Pi[subscript S] of the population belonging to a sensitive group using optional randomized response technique in stratified sampling based on Mangat model that has proportional and Neyman allocation and larger gain in efficiency. Numerically, it is found that the suggested model is…
Descriptors: Models, Efficiency, Sampling, Research Problems
Wilcox, Rand R.; Serang, Sarfaraz – Educational and Psychological Measurement, 2017
The article provides perspectives on p values, null hypothesis testing, and alternative techniques in light of modern robust statistical methods. Null hypothesis testing and "p" values can provide useful information provided they are interpreted in a sound manner, which includes taking into account insights and advances that have…
Descriptors: Hypothesis Testing, Bayesian Statistics, Computation, Effect Size
Archer, Elizabeth; Barnes, Glen – International Review of Research in Open and Distributed Learning, 2017
During this age of data proliferation, heavy reliance is placed on data visualisation to support users in making sense of vast quantities of information. Informational Dashboards have become the must have accoutrement for Higher Education institutions with various stakeholders jostling for development priority. Due to the time pressure and user…
Descriptors: Computer Networks, Data, Visual Aids, Databases
Engel, Joachim – Statistics Education Research Journal, 2017
Data are abundant, quantitative information about the state of society and the wider world is around us more than ever. Paradoxically, recent trends in the public discourse point towards a post-factual world that seems content to ignore or misrepresent empirical evidence. As statistics educators we are challenged to promote understanding of…
Descriptors: Statistics, Data, Scientific Concepts, Numeracy
Edgeley, Catrin M. – Journal of Extension, 2017
Survey IDs are short strings of unique characters assigned to each recipient in a sample population. Extension research can benefit from the improved organization of survey implementation and data collection, better researcher-respondent communication, and reduced survey material costs supported through the use of survey IDs. This article outlines…
Descriptors: Extension Education, Surveys, Research Methodology, Data Collection

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