Structural equation modelling : Adjudging model fit

By P. Barrett. 2007

2,702 citations recorded by the source corpus.

Subfields: Management Science and Operations Research, Organizational Behavior and Human Resource Management

View Paper: https://www.semanticscholar.org/paper/3e4b62923c14b2a332c83b727cc60c73f47bede6

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In Management Science and Operations Research

In Organizational Behavior and Human Resource Management

Citations in the corpus

Psychometric properties of the youth experience survey with young athletes (2012, neutral): “Since there has been debate about adjudging model ﬁ t (Barrett, 2007; Hu & Bentler, 1999; Markland, 2007), multiple indices were used for this study.”
Measurement Invariance Conventions and Reporting: The State of the Art and Future Directions for Psychological Research (2016, methodology): “, 2008), and some question the use of alternative fit indices entirely because of their lack of precision (Barrett, 2007; Bentler, 2007; Fan & Sivo, 2009). For sample sizes with adequate power, equal group sizes, and mixed invariance (i.e., some loadings are higher and some lower in the first group)”
Collective narcissism and anti-Semitism in Poland (2012, methodology): “However, the sample size in Study 1 is too small to warrant sufficient power to structural equation analysis according to rules of thumb (e.g., ten observations per parame- ter, Barrett, 2007) or more sophisticated formulae proposed in literature (e.g., MacCallum, Browne, & Cai, 2006).”
Use of Structural Equation Modeling in Tourism Research (2013, background): “Its popularity can be attributed to the fact that it is “the most fundamental” (Bagozzi and Yi 2012, p. 28) and the most “direct and obvious test of model fit” (Barrett 2007, p. 818).”
PREDICTING MATHEMATICS ACHIEVEMENT: THE INFLUENCE OF PRIOR ACHIEVEMENT AND ATTITUDES (2011, methodology): “Barrett (2007), for example, contends that the “chi-square is the only substantive test of fit for SEM” (p. 815) and the chi-square test result recorded here points out that the ‘probability of occurrence’ was >.05, evidence that the model is fitting.”
A path analysis of basic need support, self-efficacy, achievement goals, life satisfaction and academic achievement level among secondary school students (2012, background): “Recently, AFIs has been criticised for having too conservative cut-off values, ignoring χ 2 statistics, and also for being insufficient for evaluation of model fit (Barret, 2007 ).”
Going soft: on how Subjective Variables Explain Modal Choices for Leisure Travel (2011, background): “…of car availability and modal choice for leisure trips tend to be lower for models that do not account for subjective influences (see, e.g., Barrett, 2007; Biddle and Marlin, 1987; and Goffin, 2007 for discussions about goodness of fit versus “predictive ability” or explained variance in…”
The Model Size Effect in SEM: Inflated Goodness-of-Fit Statistics Are Due to the Size of the Covariance Matrix (2012, background): “…Inventory five factors of personality questionnaire includes 240 items; Costa & McCrae, 1992), there is a tendency to ignore indexes of model fit altogether, which of course makes it impossible to judge whether the model under investigation adequately describes the data (cf. Barrett, 2007).”
Development and initial validation of the Life Skills Scale for Sport (2017, methodology): “A sample size greater than 200 is considered adequate for CFA (e.g., Barrett, 2007; Brown, 2006; Myers, Ahn, & Jin, 2011) and approximates the fiveyear median sample size for correlational studies across the major sport and exercise psychology journals (Schweizer & Furley, 2016).”
There is a place for approximate fit in structural equation modelling. (2007, background): “I join with Barrett (2007) in urging researchers not to ignore the v2 test in favor of approximate fit indices in structural equation modeling.”
Ageism at work: The impact of intergenerational contact and organizational multi-age perspective (2013, methodology): “Preliminary analyses The relationships between control variables and dependent measures were analysed in line with Becker’s (2005) recommendations. We used one-way analyses of variance (ANOVAs) for gender, working time, and professional status, and correlations for age. None of the control variables”
The Relationship Between Root Mean Square Error of Approximation and Model Misspecification in Confirmatory Factor Analysis Models (2012, background): “The debate about whether the chi-square test of fit or a host of fit indices should be used to judge the acceptability of a model is alive and well (e.g., see the target article Barrett, 2007).”