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Business-Higher Education Forum, 2016
This case study examines how Business-Higher Education Forum (BHEF) member Case Western Reserve University is integrating T-shaped skills into a minor in applied data science. Through the collaboration of its business and higher education members, BHEF launched the National Higher Education and Workforce Initiative to create new undergraduate…
Descriptors: School Business Relationship, Higher Education, Undergraduate Study, Job Skills
McBroom, Jessica; Jeffries, Bryn; Koprinska, Irena; Yacef, Kalina – International Educational Data Mining Society, 2016
Effective mining of data from online submission systems offers the potential to improve educational outcomes by identifying student habits and behaviours and their relationship with levels of achievement. In particular, it may assist in identifying students at risk of performing poorly, allowing for early intervention. In this paper we investigate…
Descriptors: Data Collection, Student Behavior, Academic Achievement, Correlation
Arlo Kempf – Sage Research Methods Cases, 2016
From 2011 to 2013, I accidentally studied US and Canadian teacher perceptions of standardized testing and its effects in the classroom. I had intended to study the role of equity issues in teacher practice; however, in conversation with teachers during initial semi-structured interviews in the United States, it became clear that understanding the…
Descriptors: Mixed Methods Research, Teacher Attitudes, Standardized Tests, Foreign Countries
French, Brian F.; Finch, W. Holmes – Journal of Educational Measurement, 2015
SIBTEST is a differential item functioning (DIF) detection method that is accurate and effective with small samples, in the presence of group mean differences, and for assessment of both uniform and nonuniform DIF. The presence of multilevel data with DIF detection has received increased attention. Ignoring such structure can inflate Type I error.…
Descriptors: Test Bias, Data, Simulation, Accuracy
Winer, Abby; Taylor, Cornelia; Derrington, Taletha; Lucas, Anne – Center for IDEA Early Childhood Data Systems (DaSy), 2015
This 2015 document was developed to help technical assistance (TA) providers and state staff define and limit the scope of data analysis for program improvement efforts, including the State Systemic Improvement Plan (SSIP); develop a plan for data analysis; document alternative hypotheses and additional analyses as they are generated; and…
Descriptors: Program Improvement, Data Analysis, Documentation, Planning
Yamaguchi, Kazuo – Sociological Methods & Research, 2016
This article describes (1) the survey methodological and statistical characteristics of the nonrandomized method for surveying sensitive questions for both cross-sectional and panel survey data and (2) the way to use the incompletely observed variable obtained from this survey method in logistic regression and in loglinear and log-multiplicative…
Descriptors: Data Analysis, Surveys, Statistical Analysis, Regression (Statistics)
Bodner, Todd E. – Journal of Educational and Behavioral Statistics, 2016
This article revisits how the end points of plotted line segments should be selected when graphing interactions involving a continuous target predictor variable. Under the standard approach, end points are chosen at ±1 or 2 standard deviations from the target predictor mean. However, when the target predictor and moderator are correlated or the…
Descriptors: Graphs, Multiple Regression Analysis, Predictor Variables, Correlation
Leavy, Aisling; Hourigan, Mairead – Teaching Statistics: An International Journal for Teachers, 2016
We argue that the development of statistical literacy is greatly supported by engaging students in carrying out statistical investigations. We describe the use of driving questions and interesting contexts to motivate two statistical investigations. The PPDAC cycle is use as an organizing framework to support the process statistical investigation.
Descriptors: Statistics, Statistical Analysis, Literacy, Questioning Techniques
Angra, Aakanksha; Gardner, Stephanie M. – Advances in Physiology Education, 2016
Research on graph interpretation and basic construction is extensive, and student difficulties, primarily in K-12 type settings, have been well documented [e.g., graph choice, labels for axes, variables, and scaling axes]. It is important to provide students with repeated opportunities to increase competency and practice critical reflection in…
Descriptors: Graphs, Instructional Materials, Guides, Data
Bentler, Peter M. – Measurement: Interdisciplinary Research and Perspectives, 2016
The latent factor in a causal indicator model is no more than the latent factor of the factor part of the model. However, if the causal indicator variables are well-understood and help to improve the prediction of individuals' factor scores, they can help to interpret the meaning of the latent factor. Aguirre-Urreta, Rönkkö, and Marakas (2016)…
Descriptors: Causal Models, Factor Analysis, Prediction, Scores
Onwuegbuzie, Anthony J.; Weinbaum, Rebecca K. – Journal of Educational Issues, 2016
Recently, several authors have attempted to make the literature review process more transparent by providing a step-by-step guide to conducting literature reviews. However, although these works are very informative, none of them delineate how to display information extracted from literature reviews in a reader-friendly and visually appealing…
Descriptors: Literature Reviews, Visual Aids, Qualitative Research, Data Analysis
Johnson, Gerald – ProQuest LLC, 2016
With the increase in technology in all facets of our lives and work, there is an ever increasing set of expectations that people have regarding information availability, response time, and dependability. While expectations are affected by gender, age, experience, industry, and other factors, people have expectations of technology, and from…
Descriptors: Statistical Analysis, Differences, Data Processing, Computer Software
Paaßen, Benjamin; Jensen, Joris; Hammer, Barbara – International Educational Data Mining Society, 2016
The first intelligent tutoring systems for computer programming have been proposed more than 30 years ago, mostly focusing on well defined programming tasks e.g. in the context of logic programming. Recent systems also teach complex programs, where explicit modelling of every possible program and mistake is no longer possible. Such systems are…
Descriptors: Intelligent Tutoring Systems, Programming, Computer Science Education, Data
National Council of Teachers of English, 2016
In 1995, the National Council of Teachers of English (NCTE) issued the Resolution on Electronic Online Services in support of making online resources available to students. In 1998, NCTE issued the Resolution on Testing and Equitable Treatment of Students in support of students' well-being in assessment development and administration. In light of…
Descriptors: Student Rights, Privacy, Student Records, Information Security
Robert Liebler – College Student Journal, 2016
The reasons why little has been learned about how many times college students say they have cheated are examined. It is argued that the main reason is that the frequency distribution of the self-reported number of times cheated is not collected and reported appropriately. Other reasons, which appear to be either solvable or manageable, but…
Descriptors: Cheating, Student Attitudes, College Students, Self Disclosure (Individuals)

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