Performance of Bootstrapping Approaches to Model Test Statistics and Parameter Standard Error Estimation in Structural Equation Modeling

By J. Nevitt, G. R. Hancock. 2001

873 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Management Science and Operations Research, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/9f0b86c2b37655132e582269009bef57b52ca1c8

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In Computer Networks and Communications

In Management Science and Operations Research

In Statistics and Probability

Citations in the corpus

The Indirect Effects of Destination Image on Destination Loyalty Intention Through Tourist Satisfaction and Perceived Value: The Bootstrap Approach (2013, methodology): “Given the fact that normality violation is often unavoidable and outlier deletion method has its side effect (noted earlier), estimation methods such as the bootstrap method should be applied whenever analyzing nonnormal data (Nevitt & Hancock, 2001).”
Empowering leadership: Construct clarification, conceptualization, and validation of a new scale (2014, background): “As recommended by Nevitt and Hancock (2001), the number of bootstrapped samples was set to 2000.”
A Scale for Measuring Teachers' Mathematics-Related Beliefs: A Validity and Reliability Study (2017, methodology): “…(ML) method with Bollen-Stine bootstrapping with 500 samples and bias-corrected bootstrap confidence intervals at International Journal of Instruction, April 2017 ● Vol.10, No.2 90% was employed as an alternative for data that violate the assumption of normal (Byrne, 2013; Nevitt & Hancock, 2001).”
The Influence of Childhood (2012, background): “Although ML assumes multivariate normality, it is robust for mild to moderate departures from normal distributions (Nevitt & Hancock, 2001).”
Bootstrapping Confidence Intervals for Fit Indexes in Structural Equation Modeling (2016, methodology): “In SEM, the naive bootstrap has been recommended for obtaining CIs for SEM parameters (Enders, 2001; Nevitt & Hancock, 2001; Yuan & Hayashi, 2006; Yung & Bentler, 1996).”
Internal integration as a pre-condition for external integration in global sourcing: A social capital perspective (2014, methodology): “We used bootstrap re-sampling (Nevitt and Hancock, 2001) with replacement using 1000 rounds to assign measures of accuracy to our sample (Schiele et al., 2011b).”
Small-Sample Robust Estimators of Noncentrality-Based and Incremental Model Fit (2009, positive): “These population values were selected in accordance with a similar model generated by Curran, West, and Finch (1996) and Nevitt and Hancock (2001).”
Development of the Free Time Motivation Scale for Adolescents (2003, methodology): “The FTMS-A was adapted from the Pelletier et al. (1996) leisure scale for high school students, the Self Regulation Questionnaire developed by Ryan and Connell for elementary students for the education and social domains, the Academic Motivation Scale (Vallerand et al.”
Residents’ support for festivals: integration of emotional solidarity (2017, methodology): “As the second sub-sample size was too small (n D 148) for CFA and SEM, CFA and SEM were performed using the bootstrapping method with 1000 resamples as a remedy (Nevitt & Hancock, 2001).”
Evaluating Small Sample Approaches for Model Test Statistics in Structural Equation Modeling (2004, positive): “Simulation research has indicated that both SB adjustments to T ML can be effective in controlling Type I error rates under some experimental conditions (Chou et al., 1991; Curran et al., 1996; Fouladi, 1998, 1999, 2000; Hu et al., 1992; Nevitt & Hancock, 2001; Yuan & Bentler, 1998).”
Estimating Standardized SEM Parameters Given Nonnormal Data and Incorrect Model: Methods and Comparison (2018, methodology): “2 Nevitt and Hancock (2001) also studied the case of a slightly misspecified CFA model, but the results were almost identical to those based on the correct model.”
Social Commerce Success: Antecedents of Purchase Intention and the Mediating Role of Trust (2020, methodology): “Nevitt and Hancock (2001) show that bootstrap estimates for the model are generally less biased when compared with those obtained from standard ML estimation under conditions of non-normality and for sample sizes of N 200.”
Specificity of cognitive emotion regulation strategies: a transdiagnostic examination. (2010, background): “…involving the drawing of multiple random samples by sampling from the original sample with replacement that results in more stable parameters, particularly with small samples and samples where multivariate normality may not old (Byrne, 2010; Nevitt & Hancock, 2001; Preacher & Hayes, 2008).”