Cluster Analysis of Questionnaire Responses to MyTherapistMatch.com
General Material Designation
[Thesis]
First Statement of Responsibility
Zhou, Yang
Subsequent Statement of Responsibility
Schoenberg, Frederic Paik
.PUBLICATION, DISTRIBUTION, ETC
Name of Publisher, Distributor, etc.
UCLA
Date of Publication, Distribution, etc.
2012
DISSERTATION (THESIS) NOTE
Body granting the degree
UCLA
Text preceding or following the note
2012
SUMMARY OR ABSTRACT
Text of Note
MyTherapistMatch.com seeks to match visiting patients with suitable therapists after patients fill out the online questionnaire which consists of many psychological questions. However, a problem with this website is that many patients in fact do not end up scheduling a session with a therapist. The website founder believes that one of the major reasons is the length of the questionnaire. Therefore, to reduce annoyance for users, the task becomes selecting a subset of necessary questions from the questionnaire. The website provides patient selection data and patient action data which records how a patient interacts with a matched therapist. This thesis tries to implement hierarchical clustering method on both the question responses and the questions themselves, in order to find a reasonable way to pick the necessary questions. Correlation coefficients and Pearson's chi-squared test are used to define the metrics in hierarchical clustering. Satisfiable results are obtained. A linear model is also used to find the relationship between question responses and patient actions.