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Subjective Ratings of Biological Effective Light in Seminar Rooms and How to Handle Small Sample Sizes of Ordinal Data

机译:研讨会室生物有效光的主观评定以及如何处理序数数据的小样本量

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Our field study was conducted to examine the influence of biologically effective lighting in students' natural environment. A group of 21 regular master students were exposed to two different lighting scenarios. A developed questionnaire was used to collect subjective ratings according to overall indoor environmental quality. Data produced with questionaires are ordinal data. To analyse this type of data, especially with small sample sizes, an adequate statistical method is needed. This paper uses selected data from the field study to introduce one method based on rank data. Three questions were analysed to compare the subjective ratings of our probands according to the new biologically effective lighting. German seminar rooms or classrooms are built with a high daylight factor. Daylight is a strong confounder for field studies in rooms like that, which can't be controlled in a very good way. We know from other studies that the concentration of carbon dioxid is a second very strong confounder which must be considered. Typical classrooms with 60 - 80 m~2 furthermore limit the sample sizes. As well as know from other lab and controlled field studies that there can be measurable effects in the protection of health. Further testing with classrooms with a less daylight factor or in regions of less daylight might promise a better advantage to students.
机译:我们进行了现场研究,以研究生物有效照明对学生自然环境的影响。一组21名普通硕士生暴露于两种不同的照明场景中。根据整个室内环境质量,使用发达的调查表收集主观评分。问卷产生的数据是序数数据。为了分析此类数据,尤其是样本量较小的数据,需要一种适当的统计方法。本文利用现场研究中选择的数据,介绍了一种基于等级数据的方法。分析了三个问题,以根据新的生物有效照明方法比较我们的先证者的主观评分。德国的研讨室或教室的采光很高。对于这样的房间,Daylight是进行实地研究的强大混杂因素,无法很好地控制它。从其他研究中我们知道,二氧化碳的浓度是第二个非常强的混杂因素,必须加以考虑。具有60-80 m〜2的典型教室还限制了样本数量。从其他实验室和受控实地研究中也知道,在保护健康方面可能会产生可衡量的影响。在日光因子较少的教室或日光较少的区域进行进一步测试可能会为学生带来更好的优势。

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