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Leow, Melvin Khee-Shing – Advances in Physiology Education, 2007
The oxygen dissociation curve (ODC) of hemoglobin (Hb) has been widely studied and mathematically described for nearly a century. Numerous mathematical models have been designed to predict with ever-increasing accuracy the behavior of oxygen transport by Hb in differing conditions of pH, carbon dioxide, temperature, Hb levels, and…
Descriptors: Science Instruction, Mathematical Models, Physiology, Mathematical Logic
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Reynolds, Jeremy R.; Zacks, Jeffrey M.; Braver, Todd S. – Cognitive Science, 2007
People tend to perceive ongoing continuous activity as series of discrete events. This partitioning of continuous activity may occur, in part, because events correspond to dynamic patterns that have recurred across different contexts. Recurring patterns may lead to reliable sequential dependencies in observers' experiences, which then can be used…
Descriptors: Prediction, Models, Mathematical Models, Simulation
DUFTY, NORMAN F. – 1967
AN INQUIRY INTO RECRUITMENT OF APPRENTICES TO SKILLED TRADES IN WESTERN AUSTRALIA INDICATED LITTLE CORRELATION BETWEEN THE NUMBER OF NEW APPRENTICES AND THE LEVEL OF INDUSTRIAL EMPLOYMENT OR THE TOTAL NUMBER OF APPRENTICES. THIS ARTICLE ATTEMPTS TO OUTLINE A MATHEMATICAL MODEL OF AN APPRENTICESHIP SYSTEM AND DISCUSS ITS IMPLICATIONS. THE MODEL, A…
Descriptors: Apprenticeships, Employment Patterns, Mathematical Models
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Sockloff, Alan L. – Educational and Psychological Measurement, 1976
Equations are derived for product correlation between variables derived from two or fewer original variables. Index correlation and spurious index correlation are briefly discussed. Exact equations for product correlation are derived, and spurious product correlation is demonstrated under various conditions. (RC)
Descriptors: Correlation, Mathematical Models, Statistical Analysis
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Tonge, D. G. – International Journal of Man-Machine Studies, 1976
This paper is written with the underlying philosophy that any theory aimed at understanding the functional organization of the brain must begin with an analysis of perception and must also be firmly based on experimental evidence. (Author)
Descriptors: Mathematical Models, Perception, Research, Theories
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Janson, Svante; Vegelius, Jan – Applied Psychological Measurement, 1978
The possibility of using component analysis for nominal data is discussed. Two nominal scale correlation coefficients are applicable. Tschuprow's coefficient and the J index. The reason is that they satisfy the requirements of a scalar product between normalized vectors in a Euclidean space. Some characteristics of these coefficients are…
Descriptors: Correlation, Mathematical Models, Nonparametric Statistics
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Brown, Morton B.; Benedetti, Jacqueline K. – Psychometrika, 1977
Estimates of the mean and standard deviation of the tetrachoric correlation are compared with their expected values in several two by two tables. Significant bias in the mean is found when the minimum cell frequency is less than five. Three formulas for the standard deviation are discussed. (Author/JKS)
Descriptors: Correlation, Mathematical Models, Statistical Bias
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Raju, Nambury S. – Psychometrika, 1977
Coefficient Alpha can be used to estimate the reliability of a test when the test is split into several parts. It is known that alpha can severly underestimate test reliability when the parts have an unequal number of items. A generalization of alpha is proposed to correct this defect. (Author/JKS)
Descriptors: Mathematical Models, Measurement, Test Reliability
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Wild, Bradford S.; Cabral, Robert M. – Educational and Psychological Measurement, 1976
Two models for scaling of paired comparison data are compared to the Thurstone case III model. Two goodness of fit indices are presented for each model for five data sets. The results illustrate the inability of the Thurstone model to adequately account for data when the scale includes extreme stimuli. (Author)
Descriptors: Mathematical Models, Matrices, Statistical Analysis
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Halff, Henry M. – Psychometrika, 1976
Two forms of stationarity prior to criterion in absorbing Markov chains are examined. Both forms require that the probability of a particular response on a particular trial before absorption be independent of trial number. Simple, necessary and sufficient conditions for both forms are developed and applied to several examples. (Author)
Descriptors: Learning Processes, Mathematical Models, Matrices
Miyazaki, Yasuo – 2002
One of the innovative approaches in the use of hierarchical linear models (HLM) is to use HLM for Slopes as Outcomes models. This implies that the researcher considers that the regression slopes vary from cluster to cluster randomly as well as systematically with certain covariates at the cluster level. Among the covariates, group indicator…
Descriptors: Mathematical Models, Prediction, Regression (Statistics)
Thornton, Artist – 2002
Item response theory (IRT) is a useful and effective tool for item response measurement if used in the proper context. This paper discusses the sets of assumptions under which responses can be modeled while exploring the framework of the IRT models relative to response testing. The one parameter model, or one parameter logistic model, is perhaps…
Descriptors: Item Response Theory, Mathematical Models
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
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Wells, Donald G.; Fruchter, Benjamin – Educational and Psychological Measurement, 1970
Descriptors: Correlation, Mathematical Models, Statistical Analysis
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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
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