Advisor
Schaffer, Jay
Committee Member
Mundfrom, Daniel
Committee Member
Shafie, Khalil
Committee Member
Allen, Michael T.
Department
Applied Statistics and Research Methods
Institution
University of Northern Colorado
Type of Resources
Text
Place of Publication
Greeley (Colo.)
Publisher
University of Northern Colorado
Date Created
5-1-2011
Genre
Thesis
Extent
92 pages
Digital Origin
Born digital
Description
The use of quality control charts with metrics within the educational, behavioral, and other human services field has typically been considered very limited due to the complications imposed by nested structures, conditional relationships, and complex variance-covariance structures. The current study evaluated the performance of the random coefficient regression model control chart (RCRMCC) under conditions found commonly in the human services fields. Derived from the Regression Control Chart (RCC), the RCRMCC utilizes the residuals of the random coefficient regression model as inputs for the quality control charts. Using Monte Carlo simulations, the RCRMCC and RCC are compared, in regards to their average run lengths (ARL), under varying in-control and out-of-control population conditions, within the Cumulative Summation (CUSUM) Control Chart framework. It was found that the RCRMCC is advantageous under conditions similar to those found in the educational, behavioral, and other human services industries. Applications of the findings and future directions with the RCRMCC are discussed.
Degree type
PhD
Degree Name
Doctoral
Language
English
Local Identifiers
McKinney_unco_0161D_10059.pdf
Rights Statement
Copyright is held by author.
