Cluster Analysis of Questionnaire Responses to MyTherapistMatch.com
نام عام مواد
[Thesis]
نام نخستين پديدآور
Zhou, Yang
نام ساير پديدآوران
Schoenberg, Frederic Paik
وضعیت نشر و پخش و غیره
نام ناشر، پخش کننده و غيره
UCLA
تاریخ نشرو بخش و غیره
2012
یادداشتهای مربوط به پایان نامه ها
کسي که مدرک را اعطا کرده
UCLA
امتياز متن
2012
یادداشتهای مربوط به خلاصه یا چکیده
متن يادداشت
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.
نام شخص به منزله سر شناسه - (مسئولیت معنوی درجه اول )