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Byrd, Vetria L. – Engineering Design Graphics Journal, 2018
The definition of visualization in engineering graphics has evolved over the years due in part to extensive research in visualization by the engineering design graphics profession. The literature indicates research in the areas of engineering graphics and the use of visualization has grown from improvement of visualization skills and the…
Descriptors: Drafting, Visualization, Capacity Building, Spatial Ability
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Harrison, Kimberly; Harrison, Richard; Ward, Julie; Amin, Akshaya – School Social Work Journal, 2018
During the 2014-2015 school year, a mixed-methods study was conducted in a Midwestern urban school district with twenty-five school social workers to assess professional practice utilizing an electronic data system. Given the emphasis in the literature on mandates for school social workers to be actively engaged in positive behavior support and…
Descriptors: Data Collection, School Social Workers, Urban Schools, Social Work
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Lowe, Andrew; Norris, Anthony C.; Farris, A. Jane; Babbage, Duncan R. – Field Methods, 2018
An important aspect of qualitative research is reaching saturation--loosely, a point at which observing more data will not lead to discovery of more information related to the research questions. However, there has been no validated means of objectively establishing saturation. This article proposes a novel quantitative approach to measuring…
Descriptors: Qualitative Research, Data Analysis, Statistical Analysis, Measurement Techniques
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Hyndman, Brendon; Pill, Shane – European Physical Education Review, 2018
Physical literacy is developing as a contested concept with definitional blurring across international contexts, confusing both practitioners and researchers. This paper serves the dual purpose of reporting on an interrogation of concepts associated with physical literacy in academic writing and exploring the use of a text mining data analysis…
Descriptors: Physical Activities, Physical Education, Literacy, Health Related Fitness
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Beyerlein, Kraig; Barwis, Peter; Crubaugh, Bryant; Carnesecca, Cole – Sociological Methods & Research, 2018
The National Study of Protest Events (NSPE) employed hypernetwork sampling to generate the first-ever nationally representative sample of protest events. Nearly complete information about various event characteristics was collected from participants in 1,037 unique protests across the United States in 2010 to 2011. The first part of this article…
Descriptors: Activism, National Surveys, Sampling, Comparative Analysis
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Yu, L. C.; Lee, C. W.; Pan, H. I.; Chou, C. Y.; Chao, P. Y.; Chen, Z. H.; Tseng, S. F.; Chan, C. L.; Lai, K. R. – Journal of Computer Assisted Learning, 2018
This study presents a model for the early identification of students who are likely to fail in an academic course. To enhance predictive accuracy, sentiment analysis is used to identify affective information from text-based self-evaluated comments written by students. Experimental results demonstrated that adding extracted sentiment information…
Descriptors: Prediction, Academic Failure, Models, Identification
Myers, Lesli C.; Finnigan, Kara S. – Voices in Urban Education, 2018
Challenging and confronting educational systems and structures, the vast majority of which come from a place of privilege, is uncomfortable but necessary. Education, from early childhood to post-secondary, should challenge and address the racial inequities that inevitably characterize such systems and structures. Yet, we do not always do this…
Descriptors: Race, Racial Discrimination, Educational Cooperation, Data
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Minchen, Nathan; de la Torre, Jimmy – Measurement: Interdisciplinary Research and Perspectives, 2018
Cognitive diagnosis models (CDMs) allow for the extraction of fine-grained, multidimensional diagnostic information from appropriately designed tests. In recent years, interest in such models has grown as formative assessment grows in popularity. Many dichotomous as well as several polytomous CDMs have been proposed in the last two decades, but…
Descriptors: Cognitive Measurement, Item Response Theory, Formative Evaluation, Models
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Yu, Chong Ho; Lee, Hyun Seo; Lara, Emily; Gan, Siyan – Practical Assessment, Research & Evaluation, 2018
Big data analytics are prevalent in fields like business, engineering, public health, and the physical sciences, but social scientists are slower than their peers in other fields in adopting this new methodology. One major reason for this is that traditional statistical procedures are typically not suitable for the analysis of large and complex…
Descriptors: Data Analysis, Social Sciences, Social Science Research, Models
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York, Richard – International Journal of Social Research Methodology, 2018
A common motivation for adding control variables to statistical models is to reduce the potential for spurious findings when analyzing non-experimental data and to thereby allow for more reliable causal inferences. However, as I show here, unless "all" potential confounding factors are included in an analysis (which is unlikely to be…
Descriptors: Inferences, Control Groups, Correlation, Experimental Groups
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Iyamu, Tiko – Education and Information Technologies, 2018
There are numerous literature including professional guides that describes how to collect qualitative data, specifically in information systems (IS) studies. In practice, the reality is different from the theoretical academic materials. This is the part where many early career researchers and postgraduate students continue to be challenged,…
Descriptors: Qualitative Research, Data Collection, Information Systems, Semi Structured Interviews
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Gee, Kevin A. – Journal of Education for Students Placed at Risk, 2018
Children from certain racial and ethnic minority backgrounds, in poverty, and/or with a disability, often face distinct challenges in attending school, leading them to miss more school relative to their non-minority, more socio-economically advantaged and non-disabled peers. This brief describes these disparities in absenteeism in the US,…
Descriptors: Attendance, Disproportionate Representation, Race, Ethnicity
Ogallo, Godfrey G. – ProQuest LLC, 2018
The rapid advancement in information technology and the ubiquitous penetration of the Internet are heralding an experience in the world where every physical device is interconnect-able to other devices and the Internet. IoT forms the core of this new wave of ubiquitous technologies. This nascent technology is opening new and virtually…
Descriptors: Data, Decision Making, Higher Education, College Students
Pritchard, Adam; McChesney, Jasper – College and University Professional Association for Human Resources, 2018
This research brief explores why "projection estimates" are not an effective approach to budget planning by comparing past projections to CUPA-HR's database of real-world salaries. The results shed light on why data-informed and data-driven decisions are a more effective way to think about budget planning. In this brief you'll learn…
Descriptors: Data Use, Budgeting, Decision Making, Higher Education
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Chopra, Shivangi; Golab, Lukasz – International Educational Data Mining Society, 2018
Work-integrated learning, also known as co-operative education, allows students to alternate between on-campus classes and off-campus work terms. This provides an enhanced learning experience for students and a talent pipeline for employers. We observe that co-operative job postings are a rich source of information about the required skills,…
Descriptors: Cooperative Education, Occupational Information, Data Analysis, Job Skills
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