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Nickelsen, Ingeborg; Nickelsen, Herbert – Information Storage and Retrieval, 1973
The entire article is in German with no English abstract. (5 references) (NH)
Descriptors: Documentation, Information Systems, Mathematical Models
Peer reviewed Peer reviewed
Wells, Donald G.; Fruchter, Benjamin – Educational and Psychological Measurement, 1970
Descriptors: Correlation, Mathematical Models, Statistical Analysis
Peer reviewed Peer reviewed
McNaughton, S. J.; Wolf, L. L. – Science, 1970
Applies mathematical models to the concepts of ecological dominance and ecological niche. Considers niche width, the addition of new species to a community, and the evolution of dominant and subordinate species within a community. Analyzes data from other studies to support the models. (EB)
Descriptors: Biology, Ecology, Evolution, Mathematical Models
Peer reviewed Peer reviewed
Price, Lewis C. – Psychometrika, 1980
Two algorithms based on a latent class model are presented for discovering hierarchical relations that exist among a set of dichotomous items. The algorithms presented, and three competing deterministic algorithms are compared using computer-generated data. (Author/JKS)
Descriptors: Algorithms, Mathematical Models, Statistical Analysis
Cable, John – Mathematics Teaching, 1979
The model presented involves the concept of "mathematical quotient." It is intended that the model be used by the classroom teacher in developing mathematical instructional sequences. (MK)
Descriptors: Ability, Mathematical Models, Mathematics Education
Peer reviewed Peer reviewed
Ferron, John – Journal of Educational and Behavioral Statistics, 1997
The relationship between hierarchical linear modeling (HLM) notation and mixed model notation is illustrated by explicitly mapping the parameters across notations for a concrete example involving the hierarchical modeling of change. (Author/SLD)
Descriptors: Change, Mathematical Models, Teaching Methods
Peer reviewed Peer reviewed
Widaman, Keith F. – Applied Psychological Measurement, 2003
Describes the individual chapters of this collection and notes that, although the book lacks consistency in some respects, it contains state-of-the-art reflections on the modeling of change and should stimulate discussion for experts and practitioners. (SLD)
Descriptors: Change, Mathematical Models, Measurement Techniques
Peer reviewed Peer reviewed
Hernandez, Ana; Gonzalez-Roma, Vicente – Multivariate Behavioral Research, 2002
Studied whether empirical multitrait multioccasion (MTMO) data conform more closely to multiplicative models than to additive models, using four additive models and two versions of the multiplicative Direct Product model. Results based on matrices from previous studies show that both additive and multiplicative models usually fit the same MTMO…
Descriptors: Goodness of Fit, Mathematical Models
Peer reviewed Peer reviewed
Kim, Seock-Ho; Cohen, Allan S. – Applied Psychological Measurement, 2002
Compared two methods for developing a common metric for the graded response model under item response theory: (1) linking separate calibration runs using equating coefficients from the characteristic curve method; and (2) concurrent calibration using the combined data of the base and target groups. Concurrent calibration yielded consistently,…
Descriptors: Item Response Theory, Mathematical Models
Peer reviewed Peer reviewed
Kroll, Neal E. A. – Journal of Educational Statistics, 1989
Three potential models for the 2 X 2 contingency table are discussed: (1) the hypergeometric Independence Trial; (2) the double-binomial Comparative Trial; and (3) the multinomial Double Dichotomy Trial. Subsequently, the critical regions of seven statistical tests are evaluated within each of these models. (TJH)
Descriptors: Chi Square, Mathematical Models, Probability
Peer reviewed Peer reviewed
Raykov, Tenko; Penev, Spiridon – Multivariate Behavioral Research, 1999
Presents a necessary and sufficient condition for the equivalence of structural-equation models that is applicable to models with parameter restrictions and models that may or may not fulfill assumptions of the rules. Illustrates the application of the approach for studying model equivalence. (SLD)
Descriptors: Mathematical Models, Structural Equation Models
Peer reviewed Peer reviewed
Ellis, Jules L.; Junker, Brian W. – Psychometrika, 1997
Latent variable models for an infinite sequence (or universe) of manifest variables that may be discrete, continuous, or a combination of both, are considered. A main theorem is presented that characterizes when it is possible to construct latent variable models that satisfy unidimensionality, monotonicity, conditional independence, and tail…
Descriptors: Mathematical Models, Psychometrics, True Scores
Peer reviewed Peer reviewed
Clarkson, Douglas B.; Gonzalez, Richard – Psychometrika, 2001
Defines a random effects diagonal metric multidimensional scaling model, gives its computational algorithms, describes researchers' experiences with these algorithms, and provides an illustration of the use of the model and algorithms. (Author/SLD)
Descriptors: Algorithms, Mathematical Models, Multidimensional Scaling
Peer reviewed Peer reviewed
Berger, Martjin P. F.; King, C. Y. Joy; Wong, Weng Kee – Psychometrika, 2000
Proposed minimax designs for item response theory (IRT) models to overcome the problem of local optimality. Compared minimax designs to sequentially constructed designs for the two parameter logistic model. Results show that minimax designs can be nearly as efficient as sequentially constructed designs. (Author/SLD)
Descriptors: Item Response Theory, Mathematical Models
Peer reviewed Peer reviewed
Huitema, Bradley E.; McKean, Joseph W. – Educational and Psychological Measurement, 2000
Presents examples of egregious errors of interpretation in time-series intervention models and makes recommendations regarding the correct specification of the design matrix. Discusses the profound effects of variants of the slope change variable in the design matrix. (SLD)
Descriptors: Intervention, Mathematical Models, Research Design
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