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Social and Behavioral Sciences Commons™
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Articles 1 - 4 of 4
Full-Text Articles in Social and Behavioral Sciences
Supporting The 21st Century Classroom: Fostering Relevance And Resilience With Project-Based Learning Curricula, Shari Childers, Kara Fulton
Supporting The 21st Century Classroom: Fostering Relevance And Resilience With Project-Based Learning Curricula, Shari Childers, Kara Fulton
Academic Chairpersons Conference Proceedings
Participants will learn about building and supporting project-based learning (PBL), a scalable, flexible approach to classes and programs that cultivates 21st century competencies in students, including collaboration and resilience. They will re-imagine a course or a program at their own institution from within a PBL context.
Budgeting Basics For New Academic Chairpersons, N. Douglas Lees, David J. Malik, Jane R. Williams
Budgeting Basics For New Academic Chairpersons, N. Douglas Lees, David J. Malik, Jane R. Williams
Academic Chairpersons Conference Proceedings
The session is geared to new chairpersons who have little or no experience with budgets. Emphases will be placed on working with the dean to create fiscal flexibility and to incentivize budget expansion.
Developing And Supporting The Diversity Of Chairperson Roles, Jean Pawl, Richard Griner, Deborah Richardson, Elizabeth Nesmith
Developing And Supporting The Diversity Of Chairperson Roles, Jean Pawl, Richard Griner, Deborah Richardson, Elizabeth Nesmith
Academic Chairpersons Conference Proceedings
A monthly Chair Professional Development program at Augusta University provides opportunity to mentor new chairpersons and foster collegiality amongst all chairpersons at a university with both liberal arts and health sciences programs. The merits and challenges of this program that addresses needs of such a diverse group will be highlighted
Developing Prediction Equations For Fat Free Lean In The Presence Of An Unknown Amount Of Proportional Measurement Error, Zachary J. Hass, Bruce A. Craig, Allan Schinckel
Developing Prediction Equations For Fat Free Lean In The Presence Of An Unknown Amount Of Proportional Measurement Error, Zachary J. Hass, Bruce A. Craig, Allan Schinckel
Conference on Applied Statistics in Agriculture
Published prediction equations for fat-free lean mass are widely used by producers for carcass evaluation. These regression equations are commonly derived under the assumption that the predictors are measured without error. In practice, however, it is known that some predictors, such as backfat and loin muscle depth, are measured imperfectly with variance that is proportional to the mean. Failure to account for these measurement errors will cause bias in the estimated equation. In this paper, we describe an empirical Bayes approach, using technical replicates, to accurately estimate the regression relationship in the presence of proportional measurement error. We demonstrate, via …