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Showing 1 to 15 of 54 results Save | Export
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Xu, Jun; Bauldry, Shawn G.; Fullerton, Andrew S. – Sociological Methods & Research, 2022
We first review existing literature on cumulative logit models along with various ways to test the parallel lines assumption. Building on the traditional frequentist framework, we introduce a method of Bayesian assessment of null values to provide an alternative way to examine the parallel lines assumption using highest density intervals and…
Descriptors: Bayesian Statistics, Evaluation Methods, Models, Intervals
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Beechey, Timothy – Journal of Speech, Language, and Hearing Research, 2023
Purpose: This article provides a tutorial introduction to ordinal pattern analysis, a statistical analysis method designed to quantify the extent to which hypotheses of relative change across experimental conditions match observed data at the level of individuals. This method may be a useful addition to familiar parametric statistical methods…
Descriptors: Hypothesis Testing, Multivariate Analysis, Data Analysis, Statistical Inference
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Joshi, Megha; Pustejovsky, James E.; Beretvas, S. Natasha – Research Synthesis Methods, 2022
The most common and well-known meta-regression models work under the assumption that there is only one effect size estimate per study and that the estimates are independent. However, meta-analytic reviews of social science research often include multiple effect size estimates per primary study, leading to dependence in the estimates. Some…
Descriptors: Meta Analysis, Regression (Statistics), Models, Effect Size
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Adam Sales – Society for Research on Educational Effectiveness, 2021
Education researchers frequently have to choose between statistical models for their data, and in many cases the candidate models or parameters can be listed in a sequence, m=1,...,M, from less preferable choices to more. For instance, in choosing a bandwidth for regression discontinuity designs, researchers would favor the largest possible…
Descriptors: Educational Research, Statistical Analysis, Research Design, Decision Making
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Zipser, Nina; Mincieli, Lisa – Assessment & Evaluation in Higher Education, 2018
Using nine years of student evaluation of teaching (SET) data from a large US research university, we examine whether changes to the SET instrument have a substantial impact on overall instructor scores. Our study exploits four distinct natural experiments that arose when the SET instrument was changed. To maximise power, we compare the same…
Descriptors: Student Evaluation of Teacher Performance, Teacher Effectiveness, Scores, Comparative Analysis
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Booth, Chase R.; Brown, Hannah L.; Eason, Elizabeth G.; Wallot, Sebastian; Kelty-Stephen, Damian G. – Discourse Processes: A multidisciplinary journal, 2018
Reader expectations form across hierarchical scales of discourse (e.g., from coarse to fine: genre, narrative, syntax). Cross-scale interactivity produces word reading times (RTs) with multifractal structure. After introducing multifractals, we test two hypotheses regarding their relevance to reader expectations: (1) multifractal evidence of…
Descriptors: Gender Issues, Expectation, Reading Rate, Hypothesis Testing
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Kehler, Andrew; Rohde, Hannah – Discourse Processes: A multidisciplinary journal, 2017
According to Question-Under-Discussion (QUD) models of discourse interpretation, clauses cohere with the preceding context by virtue of providing answers to (usually implicit) questions that are situated within a speaker's goal-driven strategy of inquiry. In this article we present four experiments that examine the predictions of a QUD model of…
Descriptors: Prediction, Questioning Techniques, Models, Expectation
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Trehan, Sangeeta; Joshi, Rakesh Mohan – International Journal of Education and Development using Information and Communication Technology, 2018
Logistic regression is a popular tool used to build and evaluate binary choice models. It has been applied in a variety of situations and contexts involving dichotomous choice. In the current paper, we apply it to explain and predict the individual choice of adopting online learning through a Massive Online Open Course (MOOC), a specific artefact…
Descriptors: Foreign Countries, Online Courses, Large Group Instruction, Educational Technology
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Cuevas, Joshua; Dawson, Bryan L. – Theory and Research in Education, 2018
This study tested two cognitive models, learning styles and dual coding, which make contradictory predictions about how learners process and retain visual and auditory information. Learning styles-based instructional practices are common in educational environments despite a questionable research base, while the use of dual coding is less…
Descriptors: Cognitive Processes, Cognitive Style, Models, Comparative Analysis
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Subiaul, Francys; Zimmermann, Laura; Renner, Elizabeth; Schilder, Brian; Barr, Rachel – Journal of Cognition and Development, 2016
During the first 5 years of life, the versatility, breadth, and fidelity with which children imitate change dramatically. Currently, there is no model to explain what underlies such significant changes. To that end, the present study examined whether task-independent but domain-specific--elemental--imitation mechanism explains performance across…
Descriptors: Imitation, Preschool Children, Manipulative Materials, Rewards
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Alrasheedi, Muasaad; Capretz, Luiz Fernando; Raza, Arif – Journal of Educational Computing Research, 2016
Mobile learning (m-Learning) is considered to be one of the fastest growing learning platforms. The immense interest in m-Learning is attributed to the incredible rate of growth of mobile technology and its proliferation into every aspect of modern life. Despite this, m-Learning has not experienced a similar adoption rate in the education sector,…
Descriptors: Electronic Learning, Higher Education, College Administration, Administrators
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Hicks, Tyler A.; Knollman, Greg A. – Career Development and Transition for Exceptional Individuals, 2015
This review examines published secondary analyses of National Longitudinal Transition Study 2 (NLTS2) data, with a primary focus upon statistical objectives, paradigms, inferences, and methods. Its primary purpose was to determine which statistical techniques have been common in secondary analyses of NLTS2 data. The review begins with an…
Descriptors: Longitudinal Studies, Disabilities, Special Education, Transitional Programs
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Bolkan, San; Goodboy, Alan K.; Myers, Scott A. – Communication Education, 2017
This study examined two effective teaching behaviors traditionally considered by instructional communication scholars to associate positively with students' academic experiences: instructor clarity and immediacy. Our study situated these teaching behaviors in a conditional process model that integrated two key assumptions about student learning:…
Descriptors: Teacher Effectiveness, Teacher Behavior, Teaching Styles, Learner Engagement
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Krskova, Hana; Baumann, Chris – International Journal of Educational Management, 2017
Purpose: The purpose of this paper is to combine seemingly unrelated factors to explain global competitiveness. The study argues that school discipline and education investment affect competitiveness with the association being mediated by educational performance. Crucially, diachronic effects of discipline on performance are tested to demonstrate…
Descriptors: Foreign Countries, Competition, Academic Achievement, Least Squares Statistics
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Patchan, Melissa M.; Schunn, Christian D.; Correnti, Richard J. – Journal of Educational Psychology, 2016
Although feedback is often seen as a critical component of the learning process, many open questions about how specific feedback features contribute to the effectiveness of feedback remain--especially in regards to peer feedback of writing. Nelson and Schunn (2009) identified several important features of peer feedback in their nature of feedback…
Descriptors: Peer Evaluation, Revision (Written Composition), Regression (Statistics), Student Improvement
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