Abstract
Background
Closed-ended rating scales are the most used response format for researchers and clinicians to quantify mental states, whereas in natural contexts people communicate with natural language. The reason for using such scales is that they are typically argued to be more precise in measuring mental constructs; however, the respondents’ views as to what best communicates mental states are frequently ignored, which is important for making them comply with assessment.
Methods
We assessed respondents’ (N = 304) degree of depression using rating scales, descriptive words, selected words, and free text responses and probed the respondents for their preferences concerning the response formats across twelve dimensions related to the precision of communicating their mental states and the ease of responding. This was compared with the clinicians’ (N = 40) belief of the respondent’s view.
Results
Respondents found free text to be more precise (e.g., precision d’ = .88, elaboration d’ = 2.0) than rating scales, whereas rating scales were rated as easier to respond to (e.g., easier d’ = –.67, faster d’ = –1.13). Respondents preferred the free text responses to a greater degree than rating scales compared to clinicians’ belief of the respondents’ views.
Conclusions
These findings support previous studies concluding that future assessment of mental health can be aided by computational methods based on text data. Participants prefer an open response format as it allows them to elaborate, be precise, etc., with respect to their mental health issues, although rating scales are viewed as faster and easier.
Funder
Marianne och Marcus Wallenbergs Stiftelse
VINNOVA
Kamprad Foundation
Publisher
Public Library of Science (PLoS)
Reference25 articles.
1. Construct Validation in Social and Personality Research: Current Practice and Recommendations;JK Flake;Social Psychological and Personality Science,2018
2. Semantic measures: Using natural language processing to measure, differentiate, and describe psychological constructs;O. N. Kjell;Psychological Methods,2019
3. A comparison of open-ended and closed questions in the prediction of mental health. Quality & Quantity;O. Friborg;International Journal of Methodology,2013
4. The effect of question structure on self-reports of heavy drinking: closed-ended versus open-ended questions;F. J. Ivis;Journal of studies on alcohol,1997
5. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding;J. Devlin;Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies,2019
Cited by
9 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献