Virtual reality check: Statistical power, reported results, and the validity of research on the psychology of virtual reality and immersive environments

Autor: Malte Elson, T. Franklin Waddell, Andrew K. Przybylski, Daniel J. Tamul, Madison Lanier, James D. Ivory
Jazyk: angličtina
Rok vydání: 2019
Předmět:
PsyArXiv|Meta-science
050801 communication & media studies
Virtual reality
Statistical power
Field (computer science)
0508 media and communications
Arts and Humanities (miscellaneous)
PsyArXiv|Social and Behavioral Sciences|Social and Personality Psychology
General Psychology
Statistical hypothesis testing
bepress|Life Sciences|Research Methods in Life Sciences
bepress|Social and Behavioral Sciences|Psychology
Data collection
05 social sciences
050301 education
Transparency (behavior)
Data science
Variety (cybernetics)
Human-Computer Interaction
PsyArXiv|Social and Behavioral Sciences
PsyArXiv|Social and Behavioral Sciences|Psychology
other
bepress|Social and Behavioral Sciences
bepress|Social and Behavioral Sciences|Psychology|Personality and Social Contexts
150 Psychology
Psychology
0503 education
Scientific study
Zdroj: Computers in Human Behavior. 100
ISSN: 1873-7692
0747-5632
Popis: Virtual reality (VR) is a popular subject of scientific study across a variety of academic fields. In the present study we evaluate methodological trends in behavioral research on VR with respect to data collection practices, statistical reporting, and data availability. In line with this goal, we conducted a meta-scientific analysis of 61 articles encompassing a total of 1122 statistical tests and highlight three emergent trends that inform our understanding of past and future studies focused on VR. Conclusions from analysis of the data include a high incidence of errors in statistical reporting, and a general lack of transparency with respect to the availability of study data. Transparency in data analysis, increased statistical power, and more careful reporting of statistical outcomes are suggested to heighten methodological rigor and improve reproducibility in the field of VR research.
Databáze: OpenAIRE
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