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

Publication: Research - peer-reviewJournal article – Annual report year: 2011

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Implementation of multivariate linear mixed-effects models in the analysis of indoor climate performance experiments. / Jensen, Kasper Lynge; Spliid, Henrik; Toftum, Jørn.

In: International Journal of Biometeorology, Vol. 56, No. 1, 2011, p. 129-136.

Publication: Research - peer-reviewJournal article – Annual report year: 2011

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Author

Jensen, Kasper Lynge; Spliid, Henrik; Toftum, Jørn / Implementation of multivariate linear mixed-effects models in the analysis of indoor climate performance experiments.

In: International Journal of Biometeorology, Vol. 56, No. 1, 2011, p. 129-136.

Publication: Research - peer-reviewJournal article – Annual report year: 2011

Bibtex

@article{bd0e2bfe1dcb4f939abc67cc56515c7a,
title = "Implementation of multivariate linear mixed-effects models in the analysis of indoor climate performance experiments",
keywords = "Indoor air quality, Multivariate mixed-effects modeling, Statistical analysis, Experimental design, Performance",
publisher = "Springer",
author = "Jensen, {Kasper Lynge} and Henrik Spliid and Jørn Toftum",
year = "2011",
doi = "10.1007/s00484-011-0404-y",
volume = "56",
number = "1",
pages = "129--136",
journal = "International Journal of Biometeorology",
issn = "0020-7128",

}

RIS

TY - JOUR

T1 - Implementation of multivariate linear mixed-effects models in the analysis of indoor climate performance experiments

A1 - Jensen,Kasper Lynge

A1 - Spliid,Henrik

A1 - Toftum,Jørn

AU - Jensen,Kasper Lynge

AU - Spliid,Henrik

AU - Toftum,Jørn

PB - Springer

PY - 2011

Y1 - 2011

N2 - 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.

AB - 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.

KW - Indoor air quality

KW - Multivariate mixed-effects modeling

KW - Statistical analysis

KW - Experimental design

KW - Performance

UR - http://www.springerlink.com/content/gv867252q84527x3/

U2 - 10.1007/s00484-011-0404-y

DO - 10.1007/s00484-011-0404-y

JO - International Journal of Biometeorology

JF - International Journal of Biometeorology

SN - 0020-7128

IS - 1

VL - 56

SP - 129

EP - 136

ER -