Correspondence Analysis of Elevator Malfunction Matrices

Ting Zhou
M.S., 2018
Advisor: Jan de Leeuw
This study was conducted to analyze the association between the UCLA elevator malfunctions and the related subjects, such as the buildings in which the elevators are located and the project managers who are responsible for solving the problems. A statistical method – correspondence analysis is used for data analysis to detect the buildings or project managers that possibly have similar elevator troubles. Correspondence analysis is a multivariate exploratory technique that can geometrically represent the high dimensional information which is mostly given by a contingency table into a two or three-dimensional space. The statistical results of the study suggested there should be some associations between the project managers and the elevator malfunctions, while the associations between the elevator malfunctions and buildings are not significant.
2018