The DASS Explorer is a web-based application developed using the R programming language to examine depression, anxiety and stress scores as captured by the Depression Anxiety Stress Scale (DASS; Lovibond & Lovibond, 1995). This R Shiny web application is allows users to explore over 30,000 deidentified online responses to the instrument.
The DASS is a 42 item self-report instrument that is designed to measure negative emotional states of depression, anxiety and stress. The instrument was developed by researched from the University of New South Wales (Australia). The psychometric properties of the DASS-42 have been validated in previous research demonstrating satisfactory validity and reliability (Bilgel & Bayram, 2010; Habibi, Dehghani, Pooravari & Salehi, 2017; Hekimoglu et al., 2012).
The underlying raw data set originates from an online version of the DASS-42. The data includes responses to an Open Psychometrics (2018) online interactive version of the DASS-42. The data contains over 30,000 responses to the interactive version of the DASS-42 and can be downloaded here.
Bilgel, N., & Bayram, N. (2010). Turkish Version of the Depression Anxiety Stress Scale (DASS-42): Psychometric Properties. Archives of Neuropsychiatry/Noropsikiatri Arsivi, 47(2).
Habibi, M., Dehghani, M., Pooravari, M., & Salehi, S. (2017). Confirmatory Factor Analysis of Persian Version of Depression, Anxiety and Stress (DASS-42): Non-Clinical Sample. Razavi International Journal of Medicine, 5(4).
Hekimoglu, L., Altun, Z. O., Kaya, E. Z., Bayram, N., & Bilgel, N. (2012). Psychometric properties of the Turkish version of the 42 item depression anxiety stress scale (DASS-42) in a clinical sample. The International Journal of Psychiatry in Medicine, 44(3), 183-198.
Lovibond, S.H. & Lovibond, P.F. (1995). Manual for the Depression Anxiety Stress Scales. (2nd. Ed.). Sydney: Psychology Foundation.
Open Psychometrics. (2018). Interactive version of the Depression Anxiety Stress Scales. Retrieved from https://openpsychometrics.org/tests/DASS on 2 September 2019.