Title: Literature review. Mining for meaning in e-health
Type of assignment: Ma
Internal– or external?: Internal
Number of students: 1
New data collection: no
Type of research: Literature review
Nr of EC: 10 EC
There is increasing evidence that e-health interventions are equally effective for reducing depressive symptoms and increasing well-being as face-to-face interventions. However, existing research does not explain huge differences in effectiveness between individuals. Why do some individuals benefit more from therapy than others? And why are different treatments equally effective? To answer these questions, more insight is needed in the processes leading to therapy success. To analyze the processes involved in e-mail guided counselling, the research project ‘What Works When for Whom’ aims to employ text mining methods (e.g. automated text analysis).
One of the key working mechanisms in psychotherapy is openness/closure. For therapy change to occur a client needs to be sufficiently open to change, yet not too open to avoid chaos. Openness and closure are traditionally measured using questionnaires, however, in text mining research these concepts are measured on the basis of text features. In this assignment you will perform a literature review about text-based methods for detecting openness and closure. For this purpose, you will combine literature from qualitative research (manual text-analysis) and from natural language processing (automated analysis of text using computer software).
Supervisors: Wouter Smink & Anneke Sools
Who are we looking for?
A student who can work methodically and structured, with good analytic and writing skills.
What do we offer?
You will participate in an innovative interdisciplinary project with great practical relevance, and contribute to the development of the exciting new field of text mining in psychology.