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Frermann, Lea; Lapata, Mirella – Cognitive Science, 2016
Models of category learning have been extensively studied in cognitive science and primarily tested on perceptual abstractions or artificial stimuli. In this paper, we focus on categories acquired from natural language stimuli, that is, words (e.g., "chair" is a member of the furniture category). We present a Bayesian model that, unlike…
Descriptors: Classification, Bayesian Statistics, Models, Cognitive Science
Zahadat, Nima – ProQuest LLC, 2016
With the rapid increase of smartphones and tablets, security concerns have also been on the rise. Traditionally, Information Technology (IT) departments set up devices, apply security, and monitor them. Such approaches do not apply to today's mobile devices due to a phenomenon called Bring Your Own Device or BYOD. Employees find it desirable to…
Descriptors: Handheld Devices, Computer Security, Surveys, Policy
Zhang, Zhiyong; Yuan, Ke-Hai – Grantee Submission, 2016
Cronbach's coefficient alpha is a widely used reliability measure in social, behavioral, and education sciences. It is reported in nearly every study that involves measuring a construct through multiple items. With non-tau-equivalent items, McDonald's omega has been used as a popular alternative to alpha in the literature. Traditional estimation…
Descriptors: Computation, Error of Measurement, Robustness (Statistics), Statistical Analysis
Trikalinos, Thomas A.; Hoaglin, David C.; Small, Kevin M.; Terrin, Norma; Schmid, Christopher H. – Research Synthesis Methods, 2014
Existing methods for meta-analysis of diagnostic test accuracy focus primarily on a single index test. We propose models for the joint meta-analysis of studies comparing multiple index tests on the same participants in paired designs. These models respect the grouping of data by studies, account for the within-study correlation between the tests'…
Descriptors: Meta Analysis, Diagnostic Tests, Accuracy, Comparative Analysis
Rastegr, Behnaz; Zarei, Abbas Ali – International Journal of Language Testing, 2023
Much has been done on assessment literacy (AL) components and job demand-resources (JD-R). However, an interdisciplinary look at AL components as the predictors of JD-R and its possible consequences for the engagement and burnout of teachers' assessment performance has been neglected. To fill this gap, the present study explored this issue in the…
Descriptors: Language Teachers, Teacher Burnout, English (Second Language), Second Language Learning
Paolino, Jon-Paul – Teaching Statistics: An International Journal for Teachers, 2018
This article presents a new method for introductory teaching of the sample mean, median and mode(s) from a univariate dataset. These basic statistical concepts are taught at various levels of education from elementary school curriculums to courses at the tertiary level. These descriptive measures of location can be taught as optimized solutions to…
Descriptors: Teaching Methods, Statistics, Introductory Courses, Concept Formation
Crisp, Gloria; Doran, Erin; Salis Reyes, Nicole A. – Research in Higher Education, 2018
This study models graduation rates at 4-year broad access institutions (BAIs). We examine the student body, structural-demographic, and financial characteristics that best predict 6-year graduation rates across two time periods (2008-2009 and 2014-2015). A Bayesian model averaging approach is utilized to account for uncertainty in variable…
Descriptors: Graduation Rate, Predictor Variables, Student Characteristics, Institutional Characteristics
Raboh, Ghada – Journal of Chemical Education, 2018
A high performance liquid chromatography (HPLC) experiment for the upper level analytical chemistry laboratory is described. The students consider the effect of mobile-phase composition and pH on the retention times of ionizable compounds in order to determine the acid dissociation constant, K[subscript a], of a phenolic acid. Results are analyzed…
Descriptors: Science Instruction, College Science, Undergraduate Study, Inquiry
Grané, Aurea; Romera, Rosario – Sociological Methods & Research, 2018
Survey data are usually of mixed type (quantitative, multistate categorical, and/or binary variables). Multidimensional scaling (MDS) is one of the most extended methodologies to visualize the profile structure of the data. Since the past 60s, MDS methods have been introduced in the literature, initially in publications in the psychometrics area.…
Descriptors: Surveys, Data, Multidimensional Scaling, Robustness (Statistics)
Bikar, Somaye; Marziyeh, Afsaneh; Pourghaz, Abdolwahab – International Journal of Instruction, 2018
This study aimed to determine the relationship between affective structures and academic burnout among male and female third-grade high school students in Zahedan in the academic year 2016-2017. The current descriptive-correlational study had a sample including 362 students selected using a multistage cluster sampling method. To collect data,…
Descriptors: Burnout, Gender Differences, High School Students, Correlation
McGill, Ryan J.; Conoyer, Sarah J.; Fefer, Sarah – School Psychology Forum, 2018
Within the school psychology literature, it is frequently asserted that deficits in cognitive processing are a defining characteristic of children with academic dysfunction, and establishing links between relevant cognitive and academic weaknesses is a core pillar of patterns of strengths and weaknesses assessment models. Accordingly, the present…
Descriptors: Intelligence Tests, Cognitive Ability, Academic Ability, Psychological Evaluation
McNaughtan, Jon – Community College Journal of Research and Practice, 2018
Community college presidential tenure has consistently declined for decades, which leaves scholars to question what factors are associated with this phenomenon. While there are many potential reasons for presidential turnover, this study seeks to understand how presidential fit is associated with increased presidential departure. Guided by the…
Descriptors: Community Colleges, Tenure, College Presidents, Labor Turnover
Lehtamo, Sanna; Juuti, Kalle; Inkinen, Janna; Lavonen, Jari – International Journal of STEM Education, 2018
Background: There is a lack of students enrolling in upper secondary school physics courses. In addition, many students discontinue the physics track, causing a lack of applicants for university-level science, technology, engineering and mathematics (STEM) programmes. The aim of this research was to determine if it is possible to find a connection…
Descriptors: Physics, Secondary School Students, Regression (Statistics), Anxiety
Skylark, William J. – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2018
We regularly compare magnitudes and describe these comparisons to other people. This article reports 9 experiments that examine how messages about the relative magnitude of two items affect inferences about the items' spatial arrangement. Native English speakers were given sentences such as "One tree is taller than the other," and their…
Descriptors: Spatial Ability, Inferences, Evaluative Thinking, Comparative Analysis
Houcine, Benlaria; Sofiane, Mostéfaoui – Journal of Education and Training Studies, 2018
This study aims to measure the individual rate of return for investment in higher education at Adrar University by using both basic and extended Mincerian Earnings Function. In addition to this, the comparison had been established between the results obtained and those of other researches in the same domain. We adopted in the research the model of…
Descriptors: Foreign Countries, Higher Education, Outcomes of Education, Models

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