Dataset of a randomized controlled depression prevention trial investigating the efficacy of the commercial video game Journey

DOI

This data archive contains data on a pre-registered randomized controlled trial (RCT) testing the potential for the commercial video game Journey to prevent the exacerbation of depressive symptoms compared to an active and passive control condition. The datasets contains all anonymised raw data from the screening questionnaires of all screening participants, the raw data from all 5 questionnaires (screening, pre-test, post-test, 6-month follow-up and 12-month follow-up) and any logbooks of participants who consented to participate in the RCT, and the raw coding data of the narrative identity fragments that were coded by two coders to determine reliability of the coding process. Participants were 244 youth aged 15 to 20 years old with elevated depressive symptoms. Those who were randomized to the Journey or the active control game condition were given four weeks to play Journey or the control game. Furthermore, a number of action mechanisms which were hypothesized to affect depressive symptoms were tested. Additionally, secondary outcomes, logbook data, and other additional variables not used in the data analyses for the main outcome paper are included to facilitate the further utilization of this data. A guide to the included files can be found in the 2020_Poppelaars_RCT Journey_Read Me.pdf file. Syntax and the resulting data files are available for creating scale scores and other variables recoded or calculated from the raw data. Furthermore, syntax and the resulting data files are available for the analyses of the main outcome paper (Poppelaars, M., Lichtwarck-Aschoff, A., Otten, R., & Granic, I. (2020). Can a Commercial Video Game Prevent Depression? Null Results and Whole Sample Action Mechanisms in a Randomized Controlled Trial. Frontiers in Psychology. https://doi.org/10.3389/fpsyg.2020.575962). Finally, codebooks describing the project and variables, as well as a methods section are included.

Identifier
DOI https://doi.org/10.17026/dans-zhq-2qmc
Metadata Access https://ssh.datastations.nl/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=doi:10.17026/dans-zhq-2qmc
Provenance
Creator M. Poppelaars; A. Lichtwarck-Aschoff; R. Otten; I. Granic
Publisher DANS Data Station Social Sciences and Humanities
Contributor M. Poppelaars
Publication Year 2020
Rights DANS Licence; info:eu-repo/semantics/restrictedAccess; https://doi.org/10.17026/fp39-0x58
OpenAccess false
Contact M. Poppelaars
Representation
Resource Type Dataset
Format application/x-spss-syntax; application/pdf; text/csv; text/x-fixed-field; application/x-spss-sav; text/xml; text/plain; application/zip
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Version 2.2
Discipline Agriculture, Forestry, Horticulture, Aquaculture; Agriculture, Forestry, Horticulture, Aquaculture and Veterinary Medicine; Construction Engineering and Architecture; Engineering; Engineering Sciences; Humanities; Life Sciences; Social Sciences; Social and Behavioural Sciences; Soil Sciences