Structural equation modeling: Back to basics

Mueller, Ralph O.

doi:10.1080/10705519709540081

Cited by 151 publications

(101 citation statements)

References 33 publications

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“…GFI (goodness of fit index) recorded 0.880 and AGFI (adjusted goodness of fit index) is 0.842 which accord to suggested value of ≥ 0.8 by Marcoulides and Schumacker (2013) as marginal fit. Thus, CFI (comparative fit index) has a value of 0.932, which is lined with ≥ 0.9 recommended by (Mueller, 1997). The authors agree that CFI ≥ 0.9 and RMSEA ≥ 0.05 ≤ .08 indicate strong model.…”

Section: Confirmatory Factor Analysissupporting

confidence: 54%

Influence of Organizational Leadership on Knowledge Transfer in Construction

Idris¹,

Ali²,

Godwin³

2015

ASS

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Organizations are becoming more cognizant that transferring the supremacy of knowledge in business is precarious to attaining reasonable modifications. This research investigates the significant role of organizational leadership on knowledge transfer in the multinational construction organization in Nigeria. Thus, this research was based on the multinational construction organization as a result of their technological advancement on knowledge management, knowledge transfer and development process. The research study adopted empirically validated measures' variables and established a hypothetical framework that links organizational leadership with knowledge transfer variables. 220 survey questionnaires were distributed to knowledge workers of 35 multinational construction organization, and the research validated the framework with structural equation modeling (SEM). The factor's loadings for the variables measures were significant and Cronbash Alpha factors of 0.903 and 0.747 for organizational leadership and knowledge transfer respectively was achieved. The research finding display that organizational leadership demonstrated significant influence on knowledge transfer.

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Section: Confirmatory Factor Analysissupporting

confidence: 54%

Influence of Organizational Leadership on Knowledge Transfer in Construction

Idris¹,

Ali²,

Godwin³

2015

ASS

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“…For the interpretations in the SEM to be adequate, the idea of cause/effect should be abandoned and the idea of predictor/consequence should be adopted. This way, SEM can help clarify the causal relations that may not be implicit in correlated data (Mueller, 1997).…”

Section: Discussionmentioning

confidence: 99%

Designing and validating the methodology for the Internet assessment of fish consumption at a university setting

Maciel¹,

Vasconcelos²,

Silva³

et al. 2014

Food Sci. Technol (Campinas)

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“…So the model does not show a distinct effect. However, the ratio of chi-square to degree of freedom is 1.646, which is close to 2 -a standard Mueller [11] proposes. This rate shows that the fitness of the model is good.…”

Section: Model Fitness Evaluationmentioning

confidence: 99%

Willingness of the Farmers' Participation in the New grain supply chains -based on the Technical Acceptance model

Z¹,

Baoming²

2018

Proceedings of the 2017 World Conference on Management Science and Human Social Development (MSHSD 2017)

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Abstract.A new grain supply chains acceptance model is put forward. Based on the data of 378 rural households in Jiangsu Province, the empirical study shows that the intention of farmers' participation comply with the law of behavior psychology，which is affected positively by perceived usefulness and ease; getting higher income, higher product quality and more Efficient sales channel could improve the perceived usefulness for farmers. Otherwise, farmers demand more details for new grain supply chain, which has positive affect to perceived ease.

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Structural equation modeling: Back to basics

Cited by 151 publications

References 33 publications

Influence of Organizational Leadership on Knowledge Transfer in Construction

Influence of Organizational Leadership on Knowledge Transfer in Construction

Designing and validating the methodology for the Internet assessment of fish consumption at a university setting

Willingness of the Farmers' Participation in the New grain supply chains -based on the Technical Acceptance model

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