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A previous study (Pushkar 2021) showed a significant non-parametric correlation between the Optimize Energy Performance credit from the energy and atmosphere category (EAc7) and project size in Leadership in Energy and Environmental Design for New Construction and Major Renovations version 4 (LEED-NC v4) office space projects. However, in such an empirical analysis, there are at least two problems: the choice between parametric and non-parametric statistics, and the choice between the Wilcoxon–Mann–Whitney (WMW) and analysis of covariance (ANCOVA) non-parametric tests. This study aims to evaluate EAc7 credit achievement for different types of spaces in LEED-NC v4 projects. We show that, in order to evaluate the differences between two LEED data groups, (1) a non-parametric procedure is preferable to a parametric one, and (2) if there is Spearman's correlation between EAc7 credit achievement and project size for the same LEED-NC v4 project, then Quade's ANCOVA is preferable to WMW. The results of these tests show that, in two out of three cases, office space projects had better EAc7 credit achievement than higher-education spaces at the gold certification level and public assembly spaces at the silver certification level. [ABSTRACT FROM AUTHOR]

A previous study (Pushkar 2021) showed a significant non-parametric correlation between the Optimize Energy Performance credit from the energy and atmosphere category (EAc7) and project size in Leadership in Energy and Environmental Design for New Construction and Major Renovations version 4 (LEED-NC v4) office space projects. However, in such an empirical analysis, there are at least two problems: the choice between parametric and non-parametric statistics, and the choice between the Wilcoxon–Mann–Whitney (WMW) and analysis of covariance (ANCOVA) non-parametric tests. This study aims to evaluate EAc7 credit achievement for different types of spaces in LEED-NC v4 projects. We show that, in order to evaluate the differences between two LEED data groups, (1) a non-parametric procedure is preferable to a parametric one, and (2) if there is Spearman’s correlation between EAc7 credit achievement and project size for the same LEED-NC v4 project, then Quade’s ANCOVA is preferable to WMW. The results of these tests show that, in two out of three cases, office space projects had better EAc7 credit achievement than higher-education spaces at the gold certification level and public assembly spaces at the silver certification level.

This study aims to explore the influence of project size on the Energy and Atmosphere (EA) credits in the Leadership in Energy and Environmental Design for New Construction and Major Renovations (LEED-NC) version 3 (v3) in California and version 4 (v4) in the United States (US) in office-type projects. If the relationship between the ordinal data of EA credits and project size changed monotonically, then Spearman’s correlation coefficient was used. If the relationship between the EA credits ordinal data and project size did not change monotonically, then the EA credit data were divided into below and above the median project size groups, and, as a consequence, the Cliff′s δ effect size and exact Wilcoxon–Mann–Whitney tests were used. If the EA credits were binary or dichotomous data, then the natural logarithm of the odds ratio and Fisher’s exact 2 × 2 test with Lancaster’s mid-p-value were used. The results showed that the performance of operational energy, enhanced the refrigerant management and that the renewable energy credits in LEED-NC v3/v4 Certified, Silver, and Gold projects depended on the project size. We concluded that the LEED project size is an important variable for developing LEED-NC strategies for office-type projects.

This study aims to explore the influence of project size on the Energy and Atmosphere (EA) credits in the Leadership in Energy and Environmental Design for New Construction and Major Renovations (LEED-NC) version 3 (v3) in California and version 4 (v4) in the United States (US) in office-type projects. If the relationship between the ordinal data of EA credits and project size changed monotonically, then Spearman's correlation coefficient was used. If the relationship between the EA credits ordinal data and project size did not change monotonically, then the EA credit data were divided into below and above the median project size groups, and, as a consequence, the Cliff′s δ effect size and exact Wilcoxon–Mann–Whitney tests were used. If the EA credits were binary or dichotomous data, then the natural logarithm of the odds ratio and Fisher's exact 2 × 2 test with Lancaster's mid-p-value were used. The results showed that the performance of operational energy, enhanced the refrigerant management and that the renewable energy credits in LEED-NC v3/v4 Certified, Silver, and Gold projects depended on the project size. We concluded that the LEED project size is an important variable for developing LEED-NC strategies for office-type projects. [ABSTRACT FROM AUTHOR]