Open AccessHowNutsAreTheDutch (HoeGekIsNL): A crowdsourcing study of mental symptoms and strengths
Author(s) -
Krieke Lian Van Der,
Jeronimus Bertus F.,
Blaauw Frank J.,
Wanders Rob B.K.,
Emerencia Ando C.,
Schenk Hendrika M.,
Vos Stijn De,
Snippe Evelien,
Wichers Marieke,
Wigman Johanna T.W.,
Bos Elisabeth H.,
Wardenaar Klaas J.,
Jonge Peter De
Publication year - 2016
Publication title -
international journal of methods in psychiatric research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.275
H-Index - 73
eISSN - 1557-0657
pISSN - 1049-8931
DOI - 10.1002/mpr.1495
Subject(s) - strengths and weaknesses , crowdsourcing , interactivity , psychology , sample (material) , population , mental health , applied psychology , sample size determination , clinical psychology , strengths and difficulties questionnaire , computer science , psychiatry , social psychology , multimedia , medicine , world wide web , statistics , chemistry , mathematics , environmental health , chromatography
HowNutsAreTheDutch (Dutch: HoeGekIsNL) is a national crowdsourcing study designed to investigate multiple continuous mental health dimensions in a sample from the general population ( n = 12,503). Its main objective is to create an empirically based representation of mental strengths and vulnerabilities, accounting for (i) dimensionality and heterogeneity, (ii) interactivity between symptoms and strengths, and (iii) intra‐individual variability. To do so, HowNutsAreTheDutch (HND) makes use of an internet platform that allows participants to (a) compare themselves to other participants via cross‐sectional questionnaires and (b) to monitor themselves three times a day for 30 days with an intensive longitudinal diary study via their smartphone. These data enable for personalized feedback to participants, a study of profiles of mental strengths and weaknesses, and zooming into the fine‐grained level of dynamic relationships between variables over time. Measuring both psychiatric symptomatology and mental strengths and resources enables for an investigation of their interactions, which may underlie the wide variety of observed mental states in the population. The present paper describes the applied methods and technology, and presents the sample characteristics. Copyright © 2015 John Wiley & Sons, Ltd.