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Zhang, Xue; Tao, Jian; Wang, Chun; Shi, Ning-Zhong – Journal of Educational Measurement, 2019
Model selection is important in any statistical analysis, and the primary goal is to find the preferred (or most parsimonious) model, based on certain criteria, from a set of candidate models given data. Several recent publications have employed the deviance information criterion (DIC) to do model selection among different forms of multilevel item…
Descriptors: Bayesian Statistics, Item Response Theory, Measurement, Models
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Gummer, Tobias – Sociological Methods & Research, 2019
Survey research is still confronted by a trend of increasing nonresponse rates. In this context, several methodological advances have been made to stimulate participation and avoid bias. Yet, despite the growing number of tools and methods to deal with nonresponse, little is known about whether nonresponse biases show similar trends as nonresponse…
Descriptors: Bias, Surveys, Foreign Countries, Response Rates (Questionnaires)
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Gillen, Allison M. C.; Kirby, Karen; McBride, Orla; McGlinchey, Emily; Rushe, Teresa – Child Care in Practice, 2019
Background: Clinical data indicate that the rates of non-suicidal self-harm (SH) are rising and developing younger, causing increasing concern. However, to date, no United Kingdom (UK), Irish or European community based surveys have been able to determine the prevalence rates of not only "SH ideation" but also "actual incidences of…
Descriptors: Comparative Analysis, Self Destructive Behavior, Adolescents, Adolescent Attitudes
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Tendhar, Chosang; Singh, Kusum; Jones, Brett D. – Journal of Education and Training Studies, 2019
Because there are many positive effects of active learning approaches on students' motivation and achievement, some authors have recommended that these approaches be widely implemented. A research-intensive university located in the Mid-Atlantic US was interested in adopting this instructional technique, and therefore, experimented with it. The…
Descriptors: Active Learning, Student Motivation, Engineering Education, Comparative Analysis
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Greene, Jeffrey A.; Freed, Rebekah; Sawyer, R. Keith – Instructional Science: An International Journal of the Learning Sciences, 2019
There is a lack of research and practice focused on how to foster higher-order processing, such as creative performance, within higher education settings. To address this gap in research, we chose to study pedagogical practices in schools of art and design, where one of the intended learning outcomes is creativity. Based upon data gathered as part…
Descriptors: Creativity, Higher Education, Art, Design
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Sacko, Ryan S.; Brazendale, Keith; Brian, Ali; McIver, Kerry; Nesbitt, Danielle; Pfeifer, Craig; Stodden, David F. – Measurement in Physical Education and Exercise Science, 2019
This study compared the energy expenditure (EE) levels during object projection skill performance (OPSP) as assessed by indirect calorimetry and accelerometry. Thirty-four adults (female n = 18) aged 18-30 (23.5 ± 2.5 years) performed three, 9-min sessions of kicking, over-arm throwing, and striking performed at 6-, 12-, and 30-sec intervals. EE…
Descriptors: Young Adults, Physical Activities, Measurement Techniques, Physical Activity Level
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Hetzroni, O. E.; Hessler, M.; Shalahevich, K. – Journal of Intellectual Disability Research, 2019
Background: Systematicity principle, used during analogical reasoning, enables building up deeper abstract concepts as part of structure mapping. The purpose of this study was to investigate structure mapping processes that occur during acquisition of new relational categories and to identify the learning patterns and systematicity of children…
Descriptors: Children, Autism, Pervasive Developmental Disorders, Intellectual Disability
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De Raadt, Alexandra; Warrens, Matthijs J.; Bosker, Roel J.; Kiers, Henk A. L. – Educational and Psychological Measurement, 2019
Cohen's kappa coefficient is commonly used for assessing agreement between classifications of two raters on a nominal scale. Three variants of Cohen's kappa that can handle missing data are presented. Data are considered missing if one or both ratings of a unit are missing. We study how well the variants estimate the kappa value for complete data…
Descriptors: Interrater Reliability, Data, Statistical Analysis, Statistical Bias
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Krefeld-Schwalb, Antonia; Donkin, Chris; Newell, Ben R.; Scheibehenne, Benjamin – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2019
Past research indicates that individuals respond adaptively to contextual factors in multiattribute choice tasks. Yet it remains unclear how this adaptation is cognitively governed. In this article, empirically testable implementations of two prominent competing theoretical frameworks are developed and compared across two multiattribute choice…
Descriptors: Models, Cues, Probability, Experiments
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Aichele, Thorsten; Bannert, Maria – Journal of Educational Multimedia and Hypermedia, 2019
Hypertext comprehension often suffers from inadequate representation of the text's structure. Explication of the local paragraph macrostructure within each node might help to overcome this obstacle. As headings show several deficits, especially in digital text, marginalia are considered a promising alternative in signaling hypertext structure as…
Descriptors: Comparative Analysis, Sentences, Hypermedia, Undergraduate Students
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Pavelko, Stacey L.; Owens, Robert E. – Language, Speech, and Hearing Services in Schools, 2019
Purpose: The purpose of this study was twofold: (a) to determine the diagnostic accuracy of the four Sampling Utterances and Grammatical Analysis Revised (SUGAR) metrics, including total number of words, mean length of utterance[subscript SUGAR], words per sentence, and clauses per sentence in differentiating children with language impairment (LI)…
Descriptors: Diagnostic Tests, Language Impairments, Language Acquisition, Accuracy
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Feng, Luxi; Lindner, Amanda; Ji, Xuejun Ryan; Malatesha Joshi, R. – Reading and Writing: An Interdisciplinary Journal, 2019
According to the simple view of writing (Berninger, Abbott, Abbott, Graham, & Richards, 2002), the two important components of transcription in writing are handwriting and keyboarding, the third one being spelling. The purpose of this paper is to review the contribution of two writing modes--handwriting and keyboarding to writing performance.…
Descriptors: Handwriting, Keyboarding (Data Entry), Correlation, Writing Skills
Zhang, Xue; Tao, Jian; Wang, Chun; Shi, Ning-Zhong – Grantee Submission, 2019
Model selection is important in any statistical analysis, and the primary goal is to find the preferred (or most parsimonious) model, based on certain criteria, from a set of candidate models given data. Several recent publications have employed the deviance information criterion (DIC) to do model selection among different forms of multilevel item…
Descriptors: Bayesian Statistics, Item Response Theory, Measurement, Models
Kunkle, Kelsey – State Higher Education Executive Officers, 2023
The per-student data included in the State Higher Education Finance (SHEF) report provide useful information about revenues relative to the need to fund higher education and are important for examining the impact of funding differences on public institutions and students across states and over time. However, examining state support on a full-time…
Descriptors: Higher Education, Educational Finance, State Aid, Expenditure per Student
Kayyali, Mustafa – Online Submission, 2023
University rankings have a growing impact on how people view the academic excellence of higher education. The complicated relationship between rankings and academic excellence is explored in this essay along with how it may affect higher education policy and practice. The importance of rankings and their influence on institutional decision-making…
Descriptors: Correlation, Reputation, Educational Quality, Institutional Characteristics
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