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Fox, Nick J.; Alldred, Pam – International Journal of Social Research Methodology, 2015
This paper discusses issues of research design and methods in new materialist social inquiry, an approach that is attracting increasing interest across the social sciences as an alternative to either realist or constructionist ontologies. New materialism de-privileges human agency, focusing instead upon how assemblages of the animate and inanimate…
Descriptors: Inquiry, Social Sciences, Research Design, Data Analysis
Van Norman, Ethan Richard – ProQuest LLC, 2015
Curriculum based measurement of reading (CBM-R) is used to monitor the effects of academic interventions for individual students. Decisions to continue, modify, or terminate instructional programs are made by interpreting patterns of observations collected across time. Educators visually analyze or apply decision rules to evaluate student…
Descriptors: Accuracy, Curriculum Based Assessment, Progress Monitoring, Reading Tests
Matsuda, Noboru; Furukawa, Tadanobu; Bier, Norman; Faloutsos, Christos – International Educational Data Mining Society, 2015
How can we automatically determine which skills must be mastered for the successful completion of an online course? Large-scale online courses (e.g., MOOCs) often contain a broad range of contents frequently intended to be a semester's worth of materials; this breadth often makes it difficult to articulate an accurate set of skills and knowledge…
Descriptors: Online Courses, Skills, Automation, Models
Chen, Yang; Wuillemin, Pierre-Henr; Labat, Jean-Marc – International Educational Data Mining Society, 2015
Estimating the prerequisite structure of skills is a crucial issue in domain modeling. Students usually learn skills in sequence since the preliminary skills need to be learned prior to the complex skills. The prerequisite relations between skills underlie the design of learning sequence and adaptation strategies for tutoring systems. The…
Descriptors: Skills, Data Analysis, Students, Performance
Popescu, Paul Stefan – International Educational Data Mining Society, 2015
In this digital era, learning from data gathered from different software systems may have a great impact on the quality of the interaction experience. There are two main directions that come to enhance this emerging research domain, Intelligent Data Analysis (IDA) and Human Computer Interaction (HCI). HCI specific research methodologies can be…
Descriptors: Data Analysis, Electronic Learning, Interaction, Design
US Department of Education, 2015
Common Education Data Standards (CEDS) Version 4 introduced a common data vocabulary for defining rubrics in a data system. The CEDS elements support digital representations of both holistic and analytic rubrics. This document shares examples of holistic and analytic project rubrics, available CEDS Connections, and a logical model showing the…
Descriptors: Standards, Scoring Rubrics, Evaluation Methods, Student Evaluation
Pan, Tianshu; Yin, Yue – Applied Measurement in Education, 2017
In this article, we propose using the Bayes factors (BF) to evaluate person fit in item response theory models under the framework of Bayesian evaluation of an informative diagnostic hypothesis. We first discuss the theoretical foundation for this application and how to analyze person fit using BF. To demonstrate the feasibility of this approach,…
Descriptors: Bayesian Statistics, Goodness of Fit, Item Response Theory, Monte Carlo Methods
Blackwell, Stacey; Katzen, Sari; Patel, Nipa; Sun, Yan; Emenike, Mary – Learning Assistance Review, 2017
The authors introduce the Preparation in STEM Leadership Program at Rutgers, The State University of New Jersey. This NSF-Funded program and research study creates a centralized training program for peer leaders that includes a battery of assessments to evaluate peer leaders' content knowledge, pedagogical knowledge, communication skills, and…
Descriptors: Undergraduate Students, Peer Groups, STEM Education, Leadership Training
Groth Andersson, Signe; Denvall, Verner – American Journal of Evaluation, 2017
In recent years, performance management (PM) has become a buzzword in public sector organizations. Well-functioning PM systems rely on valid performance data, but critics point out that conflicting rationale or logic among professional staff in recording information can undermine the quality of the data. Based on a case study of social service…
Descriptors: Performance, Social Services, Case Studies, Data Collection
Bail, Christopher A. – Sociological Methods & Research, 2017
Social media websites such as Facebook and Twitter provide an unprecedented amount of qualitative data about organizations and collective behavior. Yet these new data sources lack critical information about the broader social context of collective behavior--or protect it behind strict privacy barriers. In this article, I introduce social media…
Descriptors: Data Collection, Social Media, Behavior, Surveys
Prewitt-Freilino, Polly A.; Rush, Nathan A. – New Directions for Institutional Research, 2017
Strong relationships with senior administrators, effective cross-campus collaboration, and efficient use of technology are central to impactful IR in small colleges.
Descriptors: Data, Information Utilization, Institutional Research, Partnerships in Education
García-Pérez, Miguel A. – Educational and Psychological Measurement, 2017
Null hypothesis significance testing (NHST) has been the subject of debate for decades and alternative approaches to data analysis have been proposed. This article addresses this debate from the perspective of scientific inquiry and inference. Inference is an inverse problem and application of statistical methods cannot reveal whether effects…
Descriptors: Hypothesis Testing, Statistical Inference, Effect Size, Bayesian Statistics
Follmer, D. Jake; Sperling, Rayne A.; Suen, Hoi K. – Educational Researcher, 2017
The advent of online platforms such as Amazon's Mechanical Turk (MTurk) has expanded considerably researchers' options for collecting research data. Many researchers, however, express understandable skepticism of the viability of using platforms such as MTurk. In this article, we provide a background on the use of MTurk as a mechanism for…
Descriptors: Educational Research, Data Collection, Research Methodology, Online Systems
Jackson, Jeff S. – Journal of Outdoor Recreation, Education, and Leadership, 2017
The outdoor leadership field is maturing in its understanding of activity safety and objective measures of risk exposure. Patterns of injury, relative exposure between related activities, and risk profiles per user group are only just beginning to accumulate academic findings from which a collective understanding of managing adventure-based risk…
Descriptors: Injuries, Data Analysis, College Students, Leadership Training
Romano, Richard M.; Eddy, Pamela L. – Change: The Magazine of Higher Learning, 2017
Historically, community colleges have promoted social mobility by providing access to higher education, especially for underrepresented groups. Because of their geographic availability, open admissions policy, and low cost, these colleges have expanded educational opportunity to millions of Americans, young and old. Recently, however, the emphasis…
Descriptors: Community Colleges, Two Year College Students, Social Mobility, Measurement