NDLI: Implementation of multivariate linear mixed-effects models in the analysis of indoor climate performance experiments

Content Provider	Springer Nature Link
Author	Jensen, Kasper L. Spiild, Henrik Toftum, Jørn
Copyright Year	2011
Abstract	The aim of the current study was to apply multivariate mixed-effects modeling to analyze experimental data on the relation between air quality and the performance of office work. The method estimates in one step the effect of the exposure on a multi-dimensional response variable, and yields important information on the correlation between the different dimensions of the response variable, which in this study was composed of both subjective perceptions and a two-dimensional performance task outcome. Such correlation is typically not included in the output from univariate analysis methods. Data originated from three different series of experiments investigating the effects of air quality on performance. The example analyses resulted in a significant and positive correlation between two performance tasks, indicating that the two tasks to some extent measured the same dimension of mental performance. The analysis seems superior to conventional univariate statistics and the information provided may be important for the design of performance experiments in general and for the conclusions that can be based on such studies.
Starting Page	129
Ending Page	136
Page Count	8
File Format	PDF
ISSN	00207128
Journal	International Journal of Biometeorology
Volume Number	56
Issue Number	1
e-ISSN	14321254
Language	English
Publisher	Springer-Verlag
Publisher Date	2011-02-11
Publisher Place	Berlin, Heidelberg
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Experimental design Indoor air quality Multivariate mixed-effects modeling Performance Statistical analysis Plant Physiology Animal Physiology Environment Environmental Health Meteorology/Climatology Biophysics and Biological Physics
Content Type	Text
Resource Type	Article
Subject	Ecology Health, Toxicology and Mutagenesis Atmospheric Science

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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