NotesFAQContact Us
Collection
Advanced
Search Tips
Showing 1,786 to 1,800 of 7,297 results Save | Export
Peer reviewed Peer reviewed
Blozis, Shelley M.; Cudeck, Robert – Journal of Educational and Behavioral Statistics, 1999
Presents a version of the nonlinear mixed-effects model that allows random effects only on the linear coefficients, and in which nonlinear parameters are not stochastic. Highlights the flexibility of the model and illustrates features through two examples. (SLD)
Descriptors: Equations (Mathematics), Mathematical Models
Peer reviewed Peer reviewed
Rovine, Michael J.; Molenaar, Peter C. M. – Multivariate Behavioral Research, 2000
Presents a method for estimating the random coefficients model using covariance structure modeling and allowing one to estimate both fixed and random effects. The method is applied to real and simulated data, including marriage data from J. Belsky and M. Rovine (1990). (SLD)
Descriptors: Estimation (Mathematics), Mathematical Models
Peer reviewed Peer reviewed
Kwan, C. W.; Fung, W. K. – Psychometrika, 1998
General formulas are derived for assessing local influence under restrictions in which the first derivatives are still zeros, and then these results are applied to factor analysis, as the usually used restriction in factor analysis satisfies the conditions. (SLD)
Descriptors: Factor Analysis, Mathematical Models
Peer reviewed Peer reviewed
Yu, Philip L. H. – Psychometrika, 2000
Studied the order-statistics models, extending the usual normal order-statistics model into one in which the underlying random variables followed a multivariate normal distribution. Used a Bayesian approach and the Gibbs sampling technique. Applied the proposed method to analyze presidential election data from the American Psychological…
Descriptors: Bayesian Statistics, Mathematical Models
Peer reviewed Peer reviewed
Hoijtink, Herbert – Multivariate Behavioral Research, 2001
Discusses , in the context of confirmatory latent class analysis, model selection using Bayes factors and (pseudo) likelihood ratio statistics. Uses a small simulation study to show that in this context, Bayes factors and the pseudo likelihood ratio statistics have the best properties. (SLD)
Descriptors: Bayesian Statistics, Mathematical Models
Peer reviewed Peer reviewed
van Prooijen, Jan-Willem; van der Kloot, Willem A. – Educational and Psychological Measurement, 2001
Assessed the extent to which results in exploratory factor analysis (EFA) studies can be replicated by confirmatory factor analysis in the same sample. Used 10 factor structures drawn from the literature. Results show that confirmatory factor models in which all low EFA pattern coefficients were fixed to zero fitted especially poorly. (SLD)
Descriptors: Factor Structure, Mathematical Models
Peer reviewed Peer reviewed
Direct linkDirect link
Burt, Gordon; Lloyd, David – Open Learning, 2005
Many institutions regularly conduct surveys of students. In some cases these provide descriptive statistics about students' actual use of course components and the descriptive statistics are discussed using ordinary language. A number of refinements to these surveys are proposed. It is argued that mathematical modeling as used in the discipline of…
Descriptors: Program Effectiveness, Mathematical Models
Peer reviewed Peer reviewed
Direct linkDirect link
Massetti, Greta M.; Crean, Hugh; Johnson, Deborah; DuBois, David; Ji, Peter – Journal of Research in Character Education, 2009
Interventions that aim to promote social competence, reduce problem behavior, and improve school climate are common at all levels of schooling. This whole-school focus, coupled with researchers' concerns about contamination or spillover effects in evaluations that randomly assign classrooms or students to conditions, as well as advances in…
Descriptors: Intervention, Prevention, Recruitment, Interpersonal Competence
McLoughlin, M. Padraig M. M. – Online Submission, 2008
The author of this paper submits the thesis that learning requires doing; only through inquiry is learning achieved, and hence this paper proposes a programme of use of a modified Moore method in a Probability and Mathematical Statistics (PAMS) course sequence to teach students PAMS. Furthermore, the author of this paper opines that set theory…
Descriptors: Curriculum Design, Inquiry, Active Learning, Logical Thinking
Chen, Jui-Kuei; Chen, I-Shuo – Online Submission, 2008
The purpose of this study is selecting type of university that can create its competitive advantages in a changing world. The study analyzes 25 related experiential professors. The VIKOR-based methodology is used to tackle the ranking of four types of universities. The study found that the rank of the university types is: Research-Intensive,…
Descriptors: Higher Education, Educational Indicators, Educational Research, Educational Innovation
Peer reviewed Peer reviewed
Direct linkDirect link
Green, Kris; Emerson, Allen – Teaching Mathematics and Its Applications: An International Journal of the IMA, 2008
The first part of this two-part paper [see EJ787497] described the development of a new freshman business mathematics (FBM) course at our college. In this paper, we discuss our assessment tool, the business memo, as a venue for students to apply mathematical skills, via mathematical modelling, to realistic business problems. These memos have…
Descriptors: Performance Based Assessment, Mathematics, College Freshmen, Business Education
Peer reviewed Peer reviewed
Direct linkDirect link
Liu, Leping; Maddux, Cleborne D. – Computers in the Schools, 2008
This article presents a study of Web 2.0 articles intended to (a) analyze the content of what is written and (b) develop a statistical model to predict whether authors' write about the need for new instructional design strategies and models. Eighty-eight technology articles were subjected to lexical analysis and a logistic regression model was…
Descriptors: Concept Mapping, Content Analysis, Journal Articles, Predictor Variables
Peer reviewed Peer reviewed
Direct linkDirect link
Pritchard, David E.; Lee, Young-Jin; Bao, Lei – Physical Review Special Topics - Physics Education Research, 2008
We present mathematical learning models--predictions of student's knowledge vs amount of instruction--that are based on assumptions motivated by various theories of learning: tabula rasa, constructivist, and tutoring. These models predict the improvement (on the post-test) as a function of the pretest score due to intervening instruction and also…
Descriptors: Educational Strategies, Constructivism (Learning), Pretests Posttests, Prior Learning
Peer reviewed Peer reviewed
Direct linkDirect link
Humble, Steve; Briarley, Derel; Mappouridou, Christina; Duncan, Gavin; Turner, David; Handley, Jodi – Teaching Mathematics and Its Applications: An International Journal of the IMA, 2006
This paper presents an example of boomerang motion in mathematical terms available to students studying A-level mathematics. The theory developed in the paper postulates possible mathematical models that are verified by experimental results. The paper centres on the three-wing boomerang invented by Professor Yutaka Nishiyama.
Descriptors: Mathematical Models, Mathematics Instruction, Motion, Vocabulary
Peer reviewed Peer reviewed
Direct linkDirect link
Zhang, Yu; Reynders, William J.; Jiang, Jack J.; Tateya, Ichiro – Journal of Speech, Language, and Hearing Research, 2007
Purpose: The present study was a methodological study designed to reveal the dynamic mechanisms of phonation instability pressure (PIP) using bifurcation analysis. Phonation pressure range (PPR) was also proposed for assessing the pressure range of normal vocal fold vibrations. Method: The authors first introduced the concept of bifurcation on the…
Descriptors: Audio Equipment, Voice Disorders, Hearing (Physiology), Research Methodology
Pages: 1  |  ...  |  116  |  117  |  118  |  119  |  120  |  121  |  122  |  123  |  124  |  ...  |  487