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Wind, Stefanie A.; Jones, Eli – Educational and Psychological Measurement, 2018
Previous research includes frequent admonitions regarding the importance of establishing connectivity in data collection designs prior to the application of Rasch models. However, details regarding the influence of characteristics of the linking sets used to establish connections among facets, such as locations on the latent variable, model-data…
Descriptors: Data Collection, Goodness of Fit, Computation, Networks
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Henson, Robert; DiBello, Lou; Stout, Bill – Measurement: Interdisciplinary Research and Perspectives, 2018
Diagnostic classification models (DCMs, also known as cognitive diagnosis models) hold the promise of providing detailed classroom information about the skills a student has or has not mastered. Specifically, DCMs are special cases of constrained latent class models where classes are defined based on mastery/nonmastery of a set of attributes (or…
Descriptors: Classification, Diagnostic Tests, Models, Mastery Learning
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Lockwood, Elise; Wasserman, Nicholas H.; McGuffey, William – International Journal of Research in Undergraduate Mathematics Education, 2018
In this paper we report on a survey designed to test whether or not students differentiated between two different types of problems involving combinations--problems in which combinations are used to count unordered sets of distinct objects (a natural, common way to use combinations), and problems in which combinations are used to count ordered…
Descriptors: Undergraduate Students, College Mathematics, Mathematics Instruction, Mathematics Skills
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Kamis, Ömer; Dogan, C. Deha – Journal of Education and Learning, 2018
This research aimed to compare the G and Phi coefficients estimated in Decision studies in Generalizability theory and obtained in actual cases for the same conditions of similar facets by using crossed design. The research was conducted as pure research on 120 individuals (students), six items and 12 raters. An achievement test composed of six…
Descriptors: Generalizability Theory, Decision Making, Reliability, Computation
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Rodríguez González, Miriam C.; Hernández Creus, Alberto; Carro, Pilar – Journal of Chemical Education, 2018
Surface modification has been considered as a fundamental item in upper-division undergraduate and master courses. Thus, the development of experiments regarding processes and characterization of surface-modification phenomena is highly desired. In this article, we propose an electrochemical and computational study of widely used…
Descriptors: Chemistry, College Science, Science Instruction, Computation
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Hickmott, Daniel; Prieto-Rodriguez, Elena – Informatics in Education, 2018
Coding and computational thinking have recently become compulsory skills in many school systems globally. Teaching these new skills presents a challenge for many teachers. A notable example of professional development designed using Constructionist principles to address this challenge is "ScratchEd". Upon reflecting on her experiences…
Descriptors: Coding, Computation, Faculty Development, Constructivism (Learning)
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Juškeviciene, Anita; Dagiene, Valentina – Informatics in Education, 2018
The European Commission Science Hub has been promoting Computational Thinking (CT) as an important 21st century skill or competence. However, „despite the high interest in developing computational thinking among schoolchildren and the large public and private investment in CT initiatives, there are a number of issues and challenges for the…
Descriptors: Computation, Thinking Skills, Computer Literacy, Skill Development
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Groth, Randall E.; Jones, Matthew; Knaub, Mary – Mathematical Thinking and Learning: An International Journal, 2018
Informal best fit lines frequently appear in school curricula. Previous research collectively illustrates that the adjective informal does not translate to cognitive simplicity. Using existing literature, we create a hypothetical framework of cognitive processes associated with studying informal best fit lines. We refine the framework using data…
Descriptors: Models, Cognitive Processes, Student Attitudes, Graphs
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Benton, L.; Kalas, I.; Saunders, P.; Hoyles, C.; Noss, R. – Journal of Computer Assisted Learning, 2018
The long-standing debate into the potential benefit of developing mathematical thinking skills through learning to program has been reignited with the widespread introduction of programming in schools across many countries, including England where it is a statutory requirement for all pupils to be taught programming from 5 years old. Algorithm is…
Descriptors: Thinking Skills, Mathematical Logic, Mathematics Instruction, Programming
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Dong, Nianbo; Kelcey, Benjamin; Spybrook, Jessaca – Journal of Experimental Education, 2018
Researchers are often interested in whether the effects of an intervention differ conditional on individual- or group-moderator variables such as children's characteristics (e.g., gender), teacher's background (e.g., years of teaching), and school's characteristics (e.g., urbanity); that is, the researchers seek to examine for whom and under what…
Descriptors: Statistical Analysis, Randomized Controlled Trials, Intervention, Effect Size
Mai, Yujiao; Zhang, Zhiyong; Wen, Zhonglin – Grantee Submission, 2018
Exploratory structural equation modeling (ESEM) is an approach for analysis of latent variables using exploratory factor analysis to evaluate the measurement model. This study compared ESEM with two dominant approaches for multiple regression with latent variables, structural equation modeling (SEM) and manifest regression analysis (MRA). Main…
Descriptors: Structural Equation Models, Multiple Regression Analysis, Comparative Analysis, Statistical Bias
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Vaisey, Stephen; Miles, Andrew – Sociological Methods & Research, 2017
The recent change in the general social survey (GSS) to a rotating panel design is a landmark development for social scientists. Sociological methodologists have argued that fixed-effects (FE) models are generally the best starting point for analyzing panel data because they allow analysts to control for unobserved time-constant heterogeneity. We…
Descriptors: Surveys, Data, Statistical Analysis, Models
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McCrink, Koleen; Perez, Jasmin; Baruch, Erica – Developmental Psychology, 2017
Toddlers performed a spatial mapping task in which they were required to learn the location of a hidden object in a vertical array and then transpose this location information 90° to a horizontal array. During the vertical training, they were given (a) no labels, (b) alphabetical labels, or (c) numerical labels for each potential spatial location.…
Descriptors: Prompting, Spatial Ability, Cognitive Mapping, Toddlers
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Throndsen, Jennifer; MacDonald, Beth; Hunt, Jessica – Australian Primary Mathematics Classroom, 2017
Building students' understanding of cardinality is fundamental for working with numbers and operations. Without these early mathematical foundations in place, students will fall behind. Consequently, it is imperative to build on students' strengths to address their weaknesses with the notion of cardinality.
Descriptors: Mathematics, Mathematics Instruction, Kindergarten, Numbers
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Salb, Johannes; Lindemann, Ulrich; Woodward, Carol; Almutaseb, Sanaa; Becker, Clemens; Sieber, Cornel; Freiberger, Ellen – Journal of Applied Research in Intellectual Disabilities, 2017
Background: Mobility limitations are of particular interest in people with intellectual disabilities. The aim of this study was to present feasibility and mean values of gait parameters in people with intellectual disability and it was hypothesized that several trials would be necessary to gain stable values for this cohort. Material and Methods:…
Descriptors: Psychomotor Skills, Intellectual Disability, Residential Institutions, Adults
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