Principal Component and Factor Analysis

Mooi, Erik; Sarstedt, Marko; Mooi‐Reci, Irma

doi:10.1007/978-981-10-5218-7_8

Cited by 55 publications

(47 citation statements)

References 30 publications

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“…The principal component analysis was applied to 16 asset indicator variables that showed a relevant contribution to the combined wealth index. The Kaiser-Meyer-Olkin (KMO) test of the sampling adequacy was medium (0.69) and the Bartlett test of sphericity was significant (p < 0.001), both indicating the adequacy of the data for factor analysis [32]. The first principal component (explaining 29% of the variation in the data set) with the highest eigenvalue (4.64) was categorized into quintiles and used as a proxy indicator for the household socioeconomic status [31].…”

Section: Discussionmentioning

confidence: 99%

Factors Associated with Seasonal Food Insecurity among Small-Scale Subsistence Farming Households in Rural Honduras

Dodd

Cerna

Orellana

et al. 2020

IJERPH

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In the context of climate change, a nutritional transition, and increased pressures to migrate internally and internationally, this study examined the relationship between seasonal food insecurity and demographic, socioeconomic, and agricultural production factors among small-scale subsistence farmers in rural northern Honduras. Anchored by a partnership with the Fundación para la Investigación Participativa con Agricultores de Honduras (FIPAH) and the Yorito Municipal Health Centre, a cross-sectional household survey was administered in Yorito, Honduras, in July 2014. The study population included 1263 individuals from 248 households across 22 rural communities. A multivariate mixed effects negative binomial regression model was built to investigate the relationship between the self-reported number of months without food availability and access from subsistence agriculture in the previous year (August 2013–July 2014) and demographic, socioeconomic, and agricultural production variables. This study found a lengthier ‘lean season’ among surveyed household than previously documented in Honduras. Overall, 62.2% (95% confidence interval (CI): [59.52, 64.87]) of individuals experienced at least four months of insufficient food in the previous year. Individuals from poorer and larger households were more likely to experience insufficient food compared to individuals from wealthier and smaller households. Additionally, individuals from households that produced both maize and beans were less likely to have insufficient food compared to individuals from households that did not grow these staple crops (prevalence ratio (PR) = 0.83; 95% CI: [0.69, 0.99]). Receiving remittances from a migrant family member did not significantly reduce the prevalence of having insufficient food. As unpredictable crop yields linked to climate change and extreme weather events are projected to negatively influence the food security and nutrition outcomes of rural populations, it is important to understand how demographic, socioeconomic, and agricultural production factors may modify the ability of individuals and households engaged in small-scale subsistence agriculture to respond to adverse shocks.

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Section: Discussionmentioning

confidence: 99%

Factors Associated with Seasonal Food Insecurity among Small-Scale Subsistence Farming Households in Rural Honduras

Dodd

Cerna

Orellana

et al. 2020

IJERPH

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“…Factor Analysis technique was applied to explore determine the underlying categorized variables that represent the barriers against anti-corruption measures (ACM)identified in this study, and it forms the bases for the constructs' discussions. It is considered as a statistical technique commonly adopted to determine a relatively fewer constructs' categorization underlying a set of correlated items or variables (Norusis 2008;Mooi et al 2018). It is regarded as a powerful tool employed to categorize a large number of variables into fewer and more significant constructs by factor points of responses as well as establishes the least number of categories that quantify for the maximum variance in a set of data (Pallant 2011).…”

Section: Factor Discussionmentioning

confidence: 99%

Barriers Affecting Effective Application of Anticorruption Measures in Infrastructure Projects: Disparities between Developed and Developing Countries

Owusu

Chan

2019

J. Manage. Eng.

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This study examines the critical barriers that obstruct the full potency and the intended effectiveness of anti-corruption measures enforced to mitigate the pervasiveness of corrupt practices in project procurement and execution. To achieve this aim, a comprehensive review of literature was conducted and resulted in the identification of 17 critical barriers. A questionnaire survey was conducted with 65 experts from around the world involved in infrastructure project procurement and management using the purposive sampling technique. The analysis was conducted on a contextual comparative basis. Thus, comparing the views of experts from the developed countries against the experts from the developing countries. The leading barriers identified by the respondents from the developing context were; the absence of political will by government officers, and statutory professional councils to fight corruption and personal attitudes which include the lack of will to become involved in fighting corruption. The respondents from the developed world revealed that, non-familiarity with ethical codes, the fear of being caught reporting and personal attitude were the leading barriers. The Mann-Whitney U test was employed to analyze the statistical difference regarding the barriers' criticality between the two contexts. This study contributes to a deepened understanding of corruption by examining the criticalities of barriers to the effectiveness of anti-corruption measures which have not received the needed attention in the past years. The study also reveals that the prevalence of corruption in infrastructure projects are not attributed to the causes and vulnerabilities only, but also the identified barriers. As this study informs policymakers, anti-corruption institutions, academic and industrial researchers on the barriers that are This is the Pre-Published Version.

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“…Once the factors have been rotated and interpreted, we can measure the factor scores, another aspect of the study. Factor scores are linear combinations of the elements and can be used in subsequent research as independent variables (Cleff, 2019;Mooi, Sarstedt & Mooi-Reci, 2018).…”

Section: Exploratory Factor Analysismentioning

confidence: 99%

Value-Added, Energy and Technology-Capital in Central Java Industries

Wahyudi

Darmawan

2021

JESP

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Nowadays, many industries do not depend on labor intensive, but have transformed to rely on intensive technology. Industry is considered potential strategy to raise value-added for its effort to alter raw or intermediate goods to finished goods. In this study, value-added approach is used to measure the role of technology - capital and energy. A lot of work has been done analyzing restricted variables in single study, but there is still a significant gap where research did not determine differences between measures. This paper aims to discuss the similarities of many technology – capital and energy related variables in Central Java Industries and analyzes their profile change to regional value-added from 2007 to 2017. Data related to technology – capital and energy are collected from Statistics Indonesia (Badan Pusat Statistik). The variables are examined using exploration factor analysis, multiple linear regression, and cluster analysis. The result shows that the energy consumption has the greatest effect on value-added rising during the study period, while technology - capital does not. Hence, policymaker should maintain the availability of energy for industries. Then, except for Kudus Regency and Semarang Municipality, policymaker should pay attention to the growth of value-added of the entire regions.

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Principal Component and Factor Analysis

Cited by 55 publications

References 30 publications

Factors Associated with Seasonal Food Insecurity among Small-Scale Subsistence Farming Households in Rural Honduras

Factors Associated with Seasonal Food Insecurity among Small-Scale Subsistence Farming Households in Rural Honduras

Barriers Affecting Effective Application of Anticorruption Measures in Infrastructure Projects: Disparities between Developed and Developing Countries

Value-Added, Energy and Technology-Capital in Central Java Industries

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