Structural Equation Modelling: Guidelines for Determining Model Fit

Daire Hooper; Joseph Coughlan; Michael R. Mullen · MURAL - Maynooth University Research Archive Library (National University of Ireland, Maynooth) · 2008

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Autore / responsabile

Daire Hooper; Joseph Coughlan; Michael R. Mullen

Editore

MURAL - Maynooth University Research Archive Library (National University of Ireland, Maynooth)

Anno

2008

Lingua

Inglés

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The following paper presents current thinking and research on fit indices for structural equation modelling. The paper presents a selection of fit indices that are widely regarded as the most informative indices available to researchers. As well as outlining each of these indices, guidelines are presented on their use. The paper also provides reporting strategies of these indices and concludes with a discussion on the future of fit indices.

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APA 7

Hooper, D, Coughlan, J, & Mullen, M. R. (2008). Structural Equation Modelling: Guidelines for Determining Model Fit. https://doi.org/10.21427/d7cf7r

MLA

Hooper, Daire, et al. "Structural Equation Modelling: Guidelines for Determining Model Fit." 2008. https://doi.org/10.21427/d7cf7r.

Chicago

Hooper, Daire, Joseph Coughlan, and Michael R. Mullen. 2008. "Structural Equation Modelling: Guidelines for Determining Model Fit.". https://doi.org/10.21427/d7cf7r.

Harvard

Hooper, D, Coughlan, J. and Mullen, M. R. 2008, Structural Equation Modelling: Guidelines for Determining Model Fit, MURAL - Maynooth University Research Archive Library (National University of Ireland, Maynooth), available at: https://doi.org/10.21427/d7cf7r [Accessed 8 Aug. 2026].

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Titolo: Structural Equation Modelling: Guidelines for Determining Model Fit

Autore / collaboratori: Daire Hooper; Joseph Coughlan; Michael R. Mullen

Editore: MURAL - Maynooth University Research Archive Library (National University of Ireland, Maynooth)

Anno di pubblicazione: 2008

Lingua: Inglés

Soggetti

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Structural equation modeling; Econometrics; Model selection; Index (typography); Selection (genetic algorithm); Computer science; Management science; Mathematics; Engineering; Machine learning; World Wide Web