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Gibbons, Alanna; Lyublinskaya, Irina – North American Chapter of the International Group for the Psychology of Mathematics Education, 2022
Existing studies have defined and assessed disciplinary literacy, mathematical literacy, and general academic language. However, there is a need to define and assess mathematics discipline-specific language (MDL), particularly for elementary school teachers. Therefore, the purpose of this study was to develop a research instrument to assess the…
Descriptors: Mathematics Instruction, Mathematics Skills, Academic Language, Elementary School Students
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Pallant, Amy; Lee, Hee-Sun – Journal of Science Education and Technology, 2015
Modeling and argumentation are two important scientific practices students need to develop throughout school years. In this paper, we investigated how middle and high school students (N = 512) construct a scientific argument based on evidence from computational models with which they simulated climate change. We designed scientific argumentation…
Descriptors: Persuasive Discourse, Evidence, Climate, Middle School Students
Musaitif, Linda M. – ProQuest LLC, 2013
Purpose: The purpose of this study was to determine the degree to which undergraduate full-time and adjunct faculty members in the health and science programs at community colleges in Southern California utilize the seven principles of good practice as measured by the Faculty Inventory of the Seven Principles for Good Practice in Undergraduate…
Descriptors: Community Colleges, Adjunct Faculty, College Faculty, Educational Practices
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Psycharis, Sarantos – Journal of Education and Training Studies, 2013
Contemporary teaching and learning approaches expect students--at any level of education--to be active producers of knowledge. This leads to the need for creation of instructional strategies, learning environments and tasks that can offer students opportunities for active learning. Research argues that one of the most meaningful and engaging forms…
Descriptors: Computation, Active Learning, Experiments, Mathematical Models
DeBay, Dennis J. – ProQuest LLC, 2013
To explore student mathematical self-efficacy and understanding of graphical data, this dissertation examines students solving real-world problems in their neighborhood, mediated by professional urban planning technologies. As states and schools are working on the alignment of the Common Core State Standards for Mathematics (CCSSM), traditional…
Descriptors: Geographic Information Systems, STEM Education, Disproportionate Representation, Mixed Methods Research
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Huynh, Huynh – Journal of Educational and Behavioral Statistics, 1998
Presents a procedure, based on a Bayesian updating of the item information, for locating on the latent trait scale the scores or responses of items that follow the three-parameter logistic and monotone partial credit models. Applications are provided in terms of selecting items or score categories for criterion-referenced interpretation of mapping…
Descriptors: Bayesian Statistics, Criterion Referenced Tests, Item Analysis, Likert Scales
Linacre, John M. – 1990
Determination of the intentions of the test developer is fundamental to the choice of the analytical model for a rating scale. For confirmatory analysis, the developer's intentions inform the choice of the general form of the model, representing the manner in which the respondent interacts with the scale; these intentions also inform the choice of…
Descriptors: Factor Analysis, Item Response Theory, Likert Scales, Mathematical Models
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Russell, Craig J.; And Others – Applied Psychological Measurement, 1991
Analysis of hypothetical data with dependent responses demonstrates how information loss caused by the overt response scale has an unknown influence on effect sizes in moderated regression analysis. The number of scale steps measuring the dependent variable results in a form of systematic error that alters interaction effect sizes. (SLD)
Descriptors: Effect Size, Hypothesis Testing, Likert Scales, Mathematical Models
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Muraki, Eiji – Applied Psychological Measurement, 1990
This study examined the application of the marginal maximum likelihood-EM algorithm to the parameter estimation problems of the normal ogive and logistic polytomous response models for Likert-type items. A rating scale model, based on F. Samejima's (1969) graded response model, was developed. (TJH)
Descriptors: Algorithms, Computer Simulation, Equations (Mathematics), Goodness of Fit
Chan, Jason C. – 1991
The following seven statistical procedures are compared in terms of the ability to recover a unidimensional latent trait from Likert-type data: (1) factor analysis based on Pearson correlations (FA-PR); (2) factor analysis based on polychoric correlations (FA-PL); (3) the graded response model in item response theory (IRT-GRM); (4) internal…
Descriptors: Comparative Analysis, Computer Simulation, Correlation, Equations (Mathematics)
Muraki, Eiji; Carlson, James E. – 1993
A multidimensional item response theory (IRT) model for polytomously scored items, based on the graded response model and using the normal ogive, is developed; and an EM algorithm that may be used to estimate the parameters of the model is also discussed. The model is illustrated through a simulation study in which the polytomous item responses of…
Descriptors: Computer Graphics, Computer Simulation, Equations (Mathematics), Estimation (Mathematics)
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Grote, Gudela F.; James, Lawrence R. – Multivariate Behavioral Research, 1991
Validity evidence for a new instrument, the Situation-Response Measure of Achievement Motivation for analyzing cross-situational consistency of achievement-related behavior, is presented in a study of 246 college students. Exploratory factor analysis indicates the presence of two factors, striving and apprehensiveness. (SLD)
Descriptors: Academic Achievement, Achievement Need, Behavior Patterns, Coherence
International Association for Development of the Information Society, 2012
The IADIS CELDA 2012 Conference intention was to address the main issues concerned with evolving learning processes and supporting pedagogies and applications in the digital age. There had been advances in both cognitive psychology and computing that have affected the educational arena. The convergence of these two disciplines is increasing at a…
Descriptors: Academic Achievement, Academic Persistence, Academic Support Services, Access to Computers