Latest Edition of IR Applications
AIR Office (air@airweb.org)
Now available - IR Apps # 24, Using Regression Analysis in Departmental Budget Allocations.
This study by Andrew L. Luna, University of North Alabama,
uses a regression model to determine if a significant difference exists between
the actual budget allocation that an academic department received and the model’s
predicted budget allocation for that same department. Budget data from a Southeastern
Master’s/Comprehensive state university were used as the dependent variable, and
the budget for each department consists of money used for salaries (personnel) and
money used for equipment, travel, and other expenditures (non-personnel). Independent
variables included in the model were the number of professors, credit-hour production,
number of degrees conferred, and a market ratio variable.
To view or download IR Apps #24 as a PDF, visit http://www.airweb.org/images/irapps24.pdf.