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Showing 1 to 15 of 44 results Save | Export
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Sun-Joo Cho; Amanda Goodwin; Matthew Naveiras; Paul De Boeck – Grantee Submission, 2024
Explanatory item response models (EIRMs) have been applied to investigate the effects of person covariates, item covariates, and their interactions in the fields of reading education and psycholinguistics. In practice, it is often assumed that the relationships between the covariates and the logit transformation of item response probability are…
Descriptors: Item Response Theory, Test Items, Models, Maximum Likelihood Statistics
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Sun-Joo Cho; Amanda Goodwin; Matthew Naveiras; Paul De Boeck – Journal of Educational Measurement, 2024
Explanatory item response models (EIRMs) have been applied to investigate the effects of person covariates, item covariates, and their interactions in the fields of reading education and psycholinguistics. In practice, it is often assumed that the relationships between the covariates and the logit transformation of item response probability are…
Descriptors: Item Response Theory, Test Items, Models, Maximum Likelihood Statistics
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Haynes-Brown, Tashane K. – Journal of Mixed Methods Research, 2023
The purpose of this article is to illustrate the dynamic process involved in developing and utilizing a theoretical model in a mixed methods study. Specifically, I illustrate how the theoretical model can serve as the starting point in framing the study, as a lens for guiding the data collection and analysis, and as the end point in explaining the…
Descriptors: Theories, Models, Mixed Methods Research, Teacher Attitudes
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Ma, Wenchao; de la Torre, Jimmy – Journal of Educational and Behavioral Statistics, 2019
Solving a constructed-response item usually requires successfully performing a sequence of tasks. Each task could involve different attributes, and those required attributes may be "condensed" in various ways to produce the responses. The sequential generalized deterministic input noisy "and" gate model is a general cognitive…
Descriptors: Test Items, Cognitive Measurement, Models, Hypothesis Testing
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Bosch, Nigel – Journal of Educational Data Mining, 2021
Automatic machine learning (AutoML) methods automate the time-consuming, feature-engineering process so that researchers produce accurate student models more quickly and easily. In this paper, we compare two AutoML feature engineering methods in the context of the National Assessment of Educational Progress (NAEP) data mining competition. The…
Descriptors: Accuracy, Learning Analytics, Models, National Competency Tests
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Kenrick, Carole – School Science Review, 2017
This article recounts the author's working experience of one method by which pupils' understanding of the epistemologies of science can be developed, specifically how scientists can develop hypothetical models and test them through simulations. She currently uses this approach for transition lessons with pupils in upper primary or lower secondary…
Descriptors: Epistemology, Teaching Methods, Science Instruction, Hypothesis Testing
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Aria, Andrea; Jafari, Parivash; Behifar, Maryam – World Journal of Education, 2019
This paper aims to explore the mediation effect of psychological capital and perceived organizational support on the relationship between authentic leadership and intention to stay. The structural equation modeling technique was used to test the hypothesized model. A survey was administered to collect data targeting a sample of randomly selected…
Descriptors: Leaders, Intention, Teacher Persistence, Teacher Leadership
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Alonzo, Alicia C.; Elby, Andrew – Cognition and Instruction, 2019
As scientific models of student thinking, learning progressions (LPs) have been evaluated in terms of one important, but limited, criterion: fit to empirical data. We argue that LPs are not empirically adequate, largely because they rely on problematic assumptions of theory-like coherence in students' thinking. Through an empirical investigation…
Descriptors: Science Teachers, Physics, Models, Learning Processes
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Haslem, Liz; Wilkinson, Carol; Prusak, Keven A.; Christensen, William F.; Pennington, Todd – Journal of Teaching in Physical Education, 2016
The purpose of this study was (a) to test a hypothesized model of motivation within the context of conceptual physical education (CPE), and (b) to explore the strength and directionality of perceived competence for physical activity as a possible mediator for health-related fitness knowledge (HRFK) and physical activity behaviors. High school…
Descriptors: Health Related Fitness, Knowledge Level, Competence, Self Determination
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Andryukhina, Lyudmila M.; Dneprov, Sergey ?.; Sumina, Tatyana G.; Zimina, Elena Yu.; Utkina, Svetlana N.; Mantulenko, Valentina V. – International Journal of Environmental and Science Education, 2016
The relevance of the researched issue is preconditioned by the strategic changes in the secondary vocational education system taking place not only in Russia, but also in majority of industrially developed countries. Provision of the system with qualified pedagogical staff is the leading strategic objective of development of the secondary…
Descriptors: Foreign Countries, Teacher Competencies, Secondary School Teachers, Vocational Education
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Vanwynsberghe, Griet; Vanlaar, Gudrun; Van Damme, Jan; De Fraine, Bieke – School Effectiveness and School Improvement, 2017
Although the importance of primary schools in the long term is of interest in educational effectiveness research, few studies have examined the long-term effects of schools over the past decades. In the present study, long-term effects of primary schools on the educational positions of students 2 and 4 years after starting secondary education are…
Descriptors: Secondary Education, School Effectiveness, Elementary Secondary Education, Followup Studies
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Li, Feiming; Cohen, Allan; Bottge, Brian; Templin, Jonathan – Educational and Psychological Measurement, 2016
Latent transition analysis (LTA) was initially developed to provide a means of measuring change in dynamic latent variables. In this article, we illustrate the use of a cognitive diagnostic model, the DINA model, as the measurement model in a LTA, thereby demonstrating a means of analyzing change in cognitive skills over time. An example is…
Descriptors: Statistical Analysis, Change, Thinking Skills, Measurement
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Bergee, Martin J. – Journal of Research in Music Education, 2015
This study used exploratory (EFA) and confirmatory factor analysis (CFA) to verify a theoretical structure for high school concert band performance and to test that structure for viability, generality, and invariance. A total of 101 university students enrolled in two different bands rated two high school band performances (a "first"…
Descriptors: High School Students, Musical Instruments, Music Activities, Factor Analysis
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Szubielska, Magdalena; Marek, Boguslaw – Journal of Visual Impairment & Blindness, 2015
Introduction: This paper investigates the question of whether or not subjects who are congenitally blind experience greater difficulties mentally in resizing images of objects than those who have low vision or are adventitiously blind. Methods: Two experiments were conducted--one in which subjects were asked to mentally enlarge objects they…
Descriptors: Blindness, Cognitive Processes, Imagery, Visual Impairments
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Zarkadis, Nikolaos; Papageorgiou, George; Stamovlasis, Dimitrios – Chemistry Education Research and Practice, 2017
Science education research has revealed a number of student mental models for atomic structure, among which, the one based on Bohr's model seems to be the most dominant. The aim of the current study is to investigate the coherence of these models when students apply them for the explanation of a variety of situations. For this purpose, a set of…
Descriptors: Cognitive Structures, Schemata (Cognition), Models, Nuclear Physics
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