Enrollment Forecasting Approaches for Open Admission Institutions. R. Ty Jones Director of Institutional Research Columbia Basin College PNAIRP Annual Conference Portland, Oregon November 7, 2012. Links.
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Enrollment Forecasting Approaches for Open Admission Institutions
R. Ty Jones
Director of Institutional Research
Columbia Basin College
PNAIRP Annual Conference
Portland, Oregon November 7, 2012
If you would like to follow along with the data and techniques and presentation, here are the links.http://dl.dropbox.com/u/9234919/2012_3Way.xlsx
“Forecasting is the process of making statements about events whose actual outcomes (typically) have not yet been observed. A commonplace example might be an estimation of some variable of interest at some specified future date.” - Wikipedia
Forecasting requires process and estimation. Anything else is WAG!
The processes chosen by institutional research must be founded on statistical and/or mathematical principles. That means data must be at its core to have any validity.
Linear Regression Institutions
Linear regression uses the process of least squares to model the relationship between a dependent variable and an explanatory variable.
Fitted Curve Institutions
Fitted curve regression operates on a similar basis as linear regression. Instead, transformations to the data optimize the least square process to fit an equation line dictated by the transformation.
Multivariate Linear Regression Institutions
Mixed Methods Institutions
Other Issues Institutions
Presenting The Data Institutions
Conclusion, questions and maybe some answers…
Thank you for participating!