Institution
Hong Kong Polytechnic University
Education•Hong Kong, China•
About: Hong Kong Polytechnic University is a education organization based out in Hong Kong, China. It is known for research contribution in the topics: Tourism & Population. The organization has 29633 authors who have published 72136 publications receiving 1956312 citations. The organization is also known as: HKPU & PolyU.
Papers published on a yearly basis
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TL;DR: In this article, the authors present a protocol that can be used to guide the allocation of work to four categories, namely: habitual action/non-reflection, understanding, reflection, and critical reflection.
Abstract: Where courses have as an aim the promotion of reflective practice, it will enhance the achievement of the goal if the level of reflective thinking is assessed. To do this in a satisfactory way requires a reliable protocol for assessing the level of reflection in written work. This article presents a protocol that can be used to guide the allocation of work to four categories, namely: habitual action/non‐reflection, understanding, reflection, and critical reflection. Intermediate categories can also be used. Detailed descriptors of each category to guide the process are provided. The protocol was tested by four assessors independently using it to grade a set of written work, and very good agreement was obtained.
329 citations
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TL;DR: In this article, a model for estimating the intensities of the embodied and demolition energy for buildings has been developed and two typical high-rise residential buildings, the Housing Authority Harmony 1 and the New Cruciform blocks, are analyzed based on the developed model.
329 citations
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TL;DR: Aerosol samples for PM10 and PM2.5 were collected by high-volume (hi-vol.) samplers and the concentrations of major elements, ions, organic and elemental carbons were quantified.
328 citations
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TL;DR: The increasing prevalence of CRE strains in China is attributed to dissemination of conservative mobile elements carrying blaNDM or blaKPC-2 on conjugative and non-conjugative plasmids.
328 citations
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TL;DR: This paper compares the conditions under which covariance-based multigroup analysis is more appropriate as well as those under which there either is no difference or the component-based approach is preferable, and finds that when data are normally distributed, with a small sample size and correlated exogenous variables, the component's approach is more likely to detect differences between-group than is the covariance's approach.
Abstract: Multigroup or between-group analyses are common in the information systems literature. The ability to detect the presence or absence of between-group differences and accurately estimate the strength of moderating effects is important in studies that attempt to show contingent effects. In the past, IS scholars have used a variety of approaches to examine these effects, with the partial least squares (PLS) pooled significance test for multigroup becoming the most common (e.g., Ahuja and Thatcher 2005; Enns et al. 2003; Zhu et al. 2006). In other areas of social sciences (Epitropaki and Martin 2005) and management (Mayer and Gavin 2005; Song et al. 2005) research, however, there is greater emphasis on the use of covariance-based structural equation modeling multigroup analysis. This paper compares these two methods through Monte Carlo simulation. Our findings demonstrate the conditions under which covariance-based multigroup analysis is more appropriate as well as those under which there either is no difference or the component-based approach is preferable. In particular, we find that when data are normally distributed, with a small sample size and correlated exogenous variables, the component-based approach is more likely to detect differences between-group than is the covariance-based approach. Both approaches will consistently detect differences under conditions of normality with large sample sizes. With non-normally distributed data, neither technique could consistently detect differences across the groups in two of the paths, suggesting that both techniques struggle with the prediction of a highly skewed and kurtotic dependent variable. Both techniques detected the differences in the other paths consistently under conditions of non-normality, with the component-based approach preferable at moderate effect sizes, particularly for smaller samples.
327 citations
Authors
Showing all 30115 results
Name | H-index | Papers | Citations |
---|---|---|---|
Jing Wang | 184 | 4046 | 202769 |
Xiang Zhang | 154 | 1733 | 117576 |
Wei Zheng | 151 | 1929 | 120209 |
Rui Zhang | 151 | 2625 | 107917 |
Jian Yang | 142 | 1818 | 111166 |
Joseph Lau | 140 | 1048 | 99305 |
Yu Huang | 136 | 1492 | 89209 |
Dacheng Tao | 133 | 1362 | 68263 |
Chuan He | 130 | 584 | 66438 |
Lei Zhang | 130 | 2312 | 86950 |
Ming-Hsuan Yang | 127 | 635 | 75091 |
Chao Zhang | 127 | 3119 | 84711 |
Yuri S. Kivshar | 126 | 1845 | 79415 |
Bin Wang | 126 | 2226 | 74364 |
Chi-Ming Che | 121 | 1305 | 62800 |