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Reyes-Portillo, Jazmin A.; Chin, Erica M.; Toso-Salman, Josefina; Turner, J. Blake; Vawdrey, David; Mufson, Laura – Child & Youth Care Forum, 2018
Background: No study to date has examined the effectiveness of integrating clinical decision support tools, like electronic health record (EHR) alerts, into the clinical care of youth at-risk for suicide. Objective: This study aimed to examine the feasibility and acceptability of using an EHR alert to increase clinicians' use of safety planning…
Descriptors: Records (Forms), Electronic Publishing, Information Dissemination, Safety
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Cataldi, Emily Forrest; Staklis, Sandra; Woo, Jennie – National Center for Education Statistics, 2018
This Statistics in Brief describes the employment, debt-related, and enrollment experiences as of 2012 among students who completed their bachelor's degrees during the 2007-08 academic year. These findings are based on data from the second follow-up of the 2008 Baccalaureate and Beyond Longitudinal Study (B&B:08/12), a nationally…
Descriptors: College Graduates, Employment Experience, Employment Statistics, Debt (Financial)
Huang, Melrose; Norman, Jon; Yamada, Hiroyuki – Carnegie Foundation for the Advancement of Teaching, 2018
Since 2011, Statway®, an alternative pathway to completing college-level developmental mathematics, has evolved from a two-semester sequence into a single-semester course. As of the 2016-2017 academic year, five institutions have offered an accelerated one-term version of Statway. This paper describes why these colleges chose to implement…
Descriptors: Developmental Studies Programs, Remedial Mathematics, College Mathematics, Statistics
Gobert, Janice D.; Moussavi, Raha; Li, Haiying; Sao Pedro, Michael; Dickler, Rachel – Grantee Submission, 2018
This chapter addresses students' data interpretation, a key NGSS inquiry practice, with which students have several different types of difficulties. In this work, we unpack the difficulties associated with data interpretation from those associated with warranting claims. We do this within the context of Inq-ITS (Inquiry Intelligent Tutoring…
Descriptors: Scaffolding (Teaching Technique), Data Interpretation, Intelligent Tutoring Systems, Science Instruction
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Natalia M. Mezhennaya; Oleg V. Pugachev – Problems of Education in the 21st Century, 2018
The impact of a complex of interactive computer algebra system (CAS) based methods with usage of supplementary education materials (e.g., interactive presentations, computer modeling patterns and supplementary home tasks prepared in CAS Mathematica) on the education outcomes in the subject "Probability theory and mathematical statistics"…
Descriptors: Engineering Education, Foreign Countries, College Students, Computer Assisted Instruction
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Rocconi, Louis M. – Higher Education: The International Journal of Higher Education and Educational Planning, 2013
This study examined the differing conclusions one may come to depending upon the type of analysis chosen, hierarchical linear modeling or ordinary least squares (OLS) regression. To illustrate this point, this study examined the influences of seniors' self-reported critical thinking abilities three ways: (1) an OLS regression with the student…
Descriptors: Hierarchical Linear Modeling, Least Squares Statistics, Regression (Statistics), Critical Thinking
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Tendeiro, Jorge N.; Meijer, Rob R. – Applied Psychological Measurement, 2013
To classify an item score pattern as not fitting a nonparametric item response theory (NIRT) model, the probability of exceedance (PE) of an observed response vector x can be determined as the sum of the probabilities of all response vectors that are, at most, as likely as x, conditional on the test's total score. Vector x is to be considered…
Descriptors: Probability, Nonparametric Statistics, Goodness of Fit, Test Length
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Rindskopf, David – Society for Research on Educational Effectiveness, 2013
Single case designs (SCDs) generally consist of a small number of short time series in two or more phases. The analysis of SCDs statistically fits in the framework of a multilevel model, or hierarchical model. The usual analysis does not take into account the uncertainty in the estimation of the random effects. This not only has an effect on the…
Descriptors: Research Design, Bayesian Statistics, Computation, Data
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Weston, Michele; Haudek, Kevin C.; Prevost, Luanna; Urban-Lurain, Mark; Merrill, John – CBE - Life Sciences Education, 2015
One challenge in science education assessment is that students often focus on surface features of questions rather than the underlying scientific principles. We investigated how student written responses to constructed-response questions about photosynthesis vary based on two surface features of the question: the species of plant and the order of…
Descriptors: Botany, Science Instruction, STEM Education, Questioning Techniques
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Soria, Krista; Snyder, Seth; Reinhard, Alex P. – Journal of Leadership Education, 2015
Integrative leadership theories are thriving in the literature, yet very few studies have explored individual characteristics of integrative leadership and conditions that may promote individuals' integrative leadership orientation. In particular, little is known about the factors that may promote undergraduate college students' development of an…
Descriptors: Student Leadership, College Seniors, Student Surveys, Student Attitudes
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Switzer, Jamie; Switzer, Ralph – International Journal on E-Learning, 2015
Advances in information and communication technologies (ICTs) provide new opportunities for mentoring, eliminating the need for a synchronous meeting. We report the findings of a survey that measured university student perceptions of the roles and expectations of online mentors and the likelihood of using an online mentor if given the opportunity.…
Descriptors: Student Attitudes, Preferences, Mentors, Student Surveys
Osler, James Edward – Journal on Educational Psychology, 2015
This monograph provides a neuroscience-based systemological, epistemological, and methodological rational for the design of an advanced and novel parametric statistical analytics designed for the biological sciences referred to as "Biotrichotomy". The aim of this new arena of statistics is to provide dual metrics designed to analyze the…
Descriptors: Neurosciences, Epistemology, Biology, Statistics
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Glass, Gene V. – Research Synthesis Methods, 2015
The 40-year history of meta-analysis is traced from the vantage point of one of its originators. Research syntheses leading to the first examples of meta-analysis are identified. Early meta-analyses of the literature on psychotherapy outcomes and school class size are recounted. The influence on the development of meta-analysis of several…
Descriptors: Meta Analysis, Research Methodology, Psychotherapy, Class Size
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Langan, Dean; Higgins, Julian P. T.; Simmonds, Mark – Research Synthesis Methods, 2015
Heterogeneity in meta-analysis is most commonly estimated using a moment-based approach described by DerSimonian and Laird. However, this method has been shown to produce biased estimates. Alternative methods to estimate heterogeneity include the restricted maximum likelihood approach and those proposed by Paule and Mandel, Sidik and Jonkman, and…
Descriptors: Meta Analysis, Comparative Analysis, Maximum Likelihood Statistics, Probability
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Su, Shu-Ching; Sedory, Stephen A.; Singh, Sarjinder – Sociological Methods & Research, 2015
In this article, we adjust the Kuk randomized response model for collecting information on a sensitive characteristic for increased protection and efficiency by making use of forced "yes" and forced "no" responses. We first describe Kuk's model and then the proposed adjustment to Kuk's model. Next, by means of a simulation…
Descriptors: Data Collection, Models, Responses, Efficiency
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