Factor Analysis: The Way to Uncover Dimensions of a Scale

Zhang, Baoshan; Gao, Qianyun; Bi, Yanling; Yu, Guoliang

doi:10.4135/978144627305014539123

Cited by 3 publications

(6 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…To explore whether risk perception of pluvial flooding needs to be distinguished, principal component analysis (PCA) was relied on, by drawing from Zhang, Gao, Bi, and Yu (2014). PCA is a data reduction tool that clusters measured variables influenced by the same underlying psychological construct in a common homogeneous set (Zhang et al, 2014). Therefore, many items can be described by a few uncorrelated factors, also called principal components.…”

Section: Discussionmentioning

confidence: 99%

See 1 more Smart Citation

The importance of public risk perception for the effective management of pluvial floods in urban areas: A case study from Germany

Netzel

Heldt

Engler

et al. 2021

J Flood Risk Management

View full text Add to dashboard Cite

Heavy precipitation events are expected to increase in frequency and intensity in many parts of Europe as a result of climate change. These events can affect regions located far from rivers that have never been affected before. As warning times are short, there are hardly any effective emergency measures to mitigate the severe damage caused by pluvial floods. Therefore, long‐term mitigation measures are necessary for sustainable urban flood management. However, people first need to realise their personal risk in order to become active and take private precautionary measures. To get a better understanding of the processes underlying public risk perception of pluvial floods, a questionnaire‐based telephone survey was conducted analysing two case studies in western Germany. Key findings reveal that risk perceptions need to be distinguished between personal and global perception. Personal risk perception was low among the participants, while their global risk perception was far higher. The determinants of global and personal risk perception on pluvial flooding were identified. The study also showed that mitigation behaviour is influenced by personal risk perception, knowledge, education, and housing conditions. These determinants should receive attention when future risk communication and flood management strategies are developed.

show abstract

Section: Discussionmentioning

confidence: 99%

“…Therefore, many items can be described by a few uncorrelated factors, also called principal components. PCA produces a predetermined number of factors whose interpretations are subjective (Zhang et al, 2014). The loadings of the initial items describe the influence that each item has on the construction of the principal component.…”

Section: Discussionmentioning

confidence: 99%

The importance of public risk perception for the effective management of pluvial floods in urban areas: A case study from Germany

Netzel

Heldt

Engler

et al. 2021

J Flood Risk Management

View full text Add to dashboard Cite

show abstract

“…The Kaiser–Meyer–Olkin value is 0.889, which was greater than the minimum requirement of 0.7, while the value of Bartlett's Test of Sphericity was statistically significant at p < 0.05. This suggests that the data set was appropriate for factor analysis to be carried out (Zhang et al. , 2014).…”

Section: Methodsmentioning

confidence: 99%

“…This suggests that the data set was appropriate for factor analysis to be carried out (Zhang et al, 2014). The factors were extracted by principal components analysis.…”

Section: Covid-19 and Quantity Surveying Practicesmentioning

confidence: 99%

Impact of COVID-19 pandemic on the quantity surveying practices in Malaysia

Tan

Zainon

2022

ECAM

View full text Add to dashboard Cite

PurposeMalaysia has experienced a significant surge in COVID-19. The “new normal” has plunged construction players into one of the most challenging times in their history, including the quantity surveyors (QS). Playing a primary role from pre-construction to post-construction stages, QS is essential to ensure project success. This study aims to clarify the impact of COVID-19 on quantity surveying practices to provide a better understanding of the construction sector's downturn during the pandemic.Design/methodology/approachPreliminary exploratory interviews were conducted with ten QS, architects, project managers and engineers to identify quantity surveying practices affected by the pandemic, followed by a survey involving 222 respondents to determine the significance of these impacts.FindingsIt was found that quantity surveying practices involving site visits, such as variation work valuation and interim payment valuation, were the most affected by the pandemic. On the other hand, consultative services such as value management and advisory services were the least affected.Research limitations/implicationsThe study faced data sampling limitations. Further research requires more insights on different groups of QS, such as consultants, contractors and developers, and reasons behind the difference in consensus between QS and non-QS respondents.Practical implicationsThe insights from this research may help authorities and construction companies make necessary adjustments to ensure the quantity surveying profession remains resilient, hence a better chance of project success during a pandemic. This discovery can also be considered a significant opportunity to present the need for further development.Originality/valueThe findings are expected to explain how COVID-19 had affected the duties of QS and identify which impact is the most significant. This research will complement the existing publications on the impacts of COVID-19 on the construction industry.

show abstract

“…Principal component analysis has been widely used as a default method to reduce a large number of correlated variables to a smaller set of linearly uncorrelated components/factors [54]. These principal components capture the primary information conveyed by the variables with the minimum loss of information [55].…”

Section: • Principal Component Analysis (Pca)mentioning

confidence: 99%

Impact of Airports on Landside Industrial Development: A Case Study of Brisbane Airport

Baker

Collis

2023

Land

View full text Add to dashboard Cite

Numerous studies have established strong connections between air traffic and economic growth at the regional level. However, without consideration of individual airports’ immediate vicinities, this aggregate view can lead to an overly simplistic conclusion about the role of airports in their urban environment. The impact of airports on local economic development is evaluated through a case study of Brisbane Airport by using primary data sourced from semi-structured interviews and a survey. The results demonstrate that the role of airports as transport hubs is not the dominant mechanism that drives industries to locate in airport areas. Rather, the local urban context is a dominant driver for development in and around airports. Based on the survey and interview results, urbanization economies have the highest significance on the landside industrial location decision, with a mean of 3.53 in terms of importance level. The findings provide a reference for policymakers regarding investment in airport expansion or construction, as well as a refinement of the understanding of the local economic impact of airports.

show abstract

Factor Analysis: The Way to Uncover Dimensions of a Scale

Cited by 3 publications

References 0 publications

The importance of public risk perception for the effective management of pluvial floods in urban areas: A case study from Germany

The importance of public risk perception for the effective management of pluvial floods in urban areas: A case study from Germany

Impact of COVID-19 pandemic on the quantity surveying practices in Malaysia

Impact of Airports on Landside Industrial Development: A Case Study of Brisbane Airport

Contact Info

Product

Resources

About