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Full-Text Articles in Education
Diet Composition And Insulin Action In Animals Models, Leonard Storlien, J A. Higgins, T C. Thomas, John Brown, Hongqin Wang, Xu-Feng Huang, Paul Else
Diet Composition And Insulin Action In Animals Models, Leonard Storlien, J A. Higgins, T C. Thomas, John Brown, Hongqin Wang, Xu-Feng Huang, Paul Else
Faculty of Social Sciences - Papers (Archive)
Critical insights into the etiology of insulin resistance have been gained by the use of animal models where insulin action has been modulated by strictly controlled dietary interventions not possible in human studies. Overall, the literature has moved from a focus on macronutrient proportions to understanding the unique effects of individual subtypes of fats, carbohydrates and proteins. Substantial evidence has now accumulated for a major role of dietary fat subtypes in insulin action. Intake of saturated fats is strongly linked to development of obesity and insulin resistance, while that of polyunsaturated fats (PUFAs) is not. This is consistent with observations …
Ilium 2000, Taylor University
Ilium 2000, Taylor University
Yearbooks (1898-Present)
The 2000 yearbook of Taylor University in Upland, Indiana.
Theme: A Great Cloud of Witnesses
Interpreting The Parameters Of A Multidimensional Rasch Model, W Wang, M Wilson, Ray Adams
Interpreting The Parameters Of A Multidimensional Rasch Model, W Wang, M Wilson, Ray Adams
Prof Ray Adams
This chapter introduces the multidimensional random coefficient multinomial logit model (MRCML) which can be applied to multidimensional polytomous test items. Two examples of real data analyses are followed to demonstrates the applications of the MRCML. A detailed discussion is made of interpretation of item parameters, in comparision to those derived from their corresponding unidimensional Rasch measurement models. Finally, it provides some guidelines for constructing scoring matrices and the corresponding models to aid parameter interpretation.